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Author SHA1 Message Date
kshitijk4poor c1647dadba fix(tests): resolve 53 CI test failures across 8 root causes
1. Telegram xdist mock pollution (37 tests): Add tests/gateway/conftest.py
   with a shared _ensure_telegram_mock() that runs at collection time.
   Under pytest-xdist, test_telegram_caption_merge.py (bare top-level
   import, no mock) would trigger the ImportError fallback in
   gateway/platforms/telegram.py, caching ChatType=None and Update=Any
   for the entire worker — cascading into 37 downstream failures.

2. VIRTUAL_ENV env var leak (4 tests): TestDetectVenvDir tests monkeypatched
   sys.prefix but didn't clear VIRTUAL_ENV. After commit 50c35dca added a
   VIRTUAL_ENV check to _detect_venv_dir(), CI's real venv leaked through.

3. Copilot base_url missing (1 test): _resolve_runtime_from_pool_entry()
   set api_mode for copilot but didn't add the base_url fallback — unlike
   openrouter, anthropic, and codex which all have one. Production bug.

4. Stale vision model assertion (1 test): _PROVIDER_VISION_MODELS added
   zai -> glm-5v-turbo but the test still expected the main model glm-5.1.

5. Reasoning item id intentionally stripped (1 test): Production code at
   run_agent.py:3738 deliberately excludes 'id' from reasoning items
   (store=False causes API 404). Test was asserting the old behavior.

6. context_length warning not reaching custom_providers (1 test): The test
   didn't pass base_url to AIAgent, so self.base_url was empty and the
   custom_providers URL comparison at line 1302 never matched.

7. Matrix room ID URL-encoding (1 test): Production code now URL-encodes
   room IDs (!room:example.com -> %21room%3Aexample.com) but the test
   assertion wasn't updated.

8. Google Workspace calendar tests (2 tests): Tests assert on +agenda CLI
   args that don't exist in the production calendar_list() function. They
   only 'passed' before because _gws_binary() returned None, the Python
   SDK fallback ran, googleapiclient import failed, SystemExit was raised,
   and post-exit assertions were never reached. Skip when gws not installed.

Remaining 4 failures (test_run_progress_topics.py) are pre-existing flaky
tests that fail inconsistently under xdist — confirmed on clean main.
2026-04-16 07:24:16 +05:30
WideLee 422f2866e6 docs: restore sidebar entries removed by PR #9931
Re-add 'qqbot' and 'automation-templates' doc indexes to sidebars.ts
that were accidentally dropped in https://github.com/NousResearch/hermes-agent/pull/9931.
2026-04-15 09:39:12 -07:00
Teknium 722331a57d fix: replace hardcoded ~/.hermes with display_hermes_home() in agent-facing text (#10285)
Tool schema descriptions and tool return values contained hardcoded
~/.hermes paths that the model sees and uses. When HERMES_HOME is set
to a custom path (Docker containers, profiles), the agent would still
reference ~/.hermes — looking at the wrong directory.

Fixes 6 locations across 5 files:
- tools/tts_tool.py: output_path schema description
- tools/cronjob_tools.py: script path schema description
- tools/skill_manager_tool.py: skill_manage schema description
- tools/skills_tool.py: two tool return messages
- agent/skill_commands.py: skill config injection text

All now use display_hermes_home() which resolves to the actual
HERMES_HOME path (e.g. /opt/data for Docker, ~/.hermes/profiles/X
for profiles, ~/.hermes for default).

Reported by: Sandeep Narahari (PrithviDevs)
2026-04-15 04:57:55 -07:00
sprmn24 41e2d61b3f feat(discord): add native send_animation for inline GIF playback 2026-04-15 04:51:27 -07:00
Teknium 4da598b48a docs: clarify hermes model vs /model — two commands, two purposes (#10276)
Users are confused about the difference between `hermes model` (terminal
command for full provider setup) and `/model` (session command for switching
between already-configured providers). This distinction was not documented
anywhere.

Changes across 4 doc pages:
- cli-commands.md: Added warning callout explaining the difference, added
  --global flag docs, added 'only see OpenRouter models?' info box
- slash-commands.md: Added notes on both TUI and messaging /model entries
  that /model only switches between configured providers
- providers.md: Added 'Two Commands for Model Management' comparison table
  near top of page, added warning callout in switching section
- faq.md: Added new FAQ entry '/model only shows one provider' with quick
  reference table

Prompted by user feedback in Discord — new users consistently hit this
confusion when trying to add providers from inside a session.
2026-04-15 04:39:34 -07:00
asheriif 33ae403890 fix(gateway): fix matrix lingering typing indicator 2026-04-15 04:16:16 -07:00
Teknium 47e6ea84bb fix: file handle bug, warning text, and tests for Discord media send
- Fix file handle closed before POST: nest session.post() inside
  the 'with open()' block so aiohttp can read the file during upload
- Update warning text to include weixin (also supports media delivery)
- Add 8 unit tests covering: text+media, media-only, missing files,
  upload failures, multiple files, and _send_to_platform routing
2026-04-15 04:16:06 -07:00
sprmn24 4bcb2f2d26 feat(send_message): add native media attachment support for Discord
Previously send_message only supported media delivery for Telegram.
Discord users received a warning that media was omitted.

- Add media_files parameter to _send_discord()
- Upload media via Discord multipart/form-data API (files[0] field)
- Handle Discord in _send_to_platform() same way as Telegram block
- Remove Discord from generic chunk loop (now handled above)
- Update error/warning strings to mention telegram and discord
2026-04-15 04:16:06 -07:00
Teknium 1c4d3216d3 fix(cron): include job_id in delivery and guide models on removal workflow (#10242)
* fix(gateway): suppress duplicate replies on interrupt and streaming flood control

Three fixes for the duplicate reply bug affecting all gateway platforms:

1. base.py: Suppress stale response when the session was interrupted by a
   new message that hasn't been consumed yet. Checks both interrupt_event
   and _pending_messages to avoid false positives. (#8221, #2483)

2. run.py (return path): Remove response_previewed guard from already_sent
   check. Stream consumer's already_sent alone is authoritative — if
   content was delivered via streaming, the duplicate send must be
   suppressed regardless of the agent's response_previewed flag. (#8375)

3. run.py (queued-message path): Same fix — already_sent without
   response_previewed now correctly marks the first response as already
   streamed, preventing re-send before processing the queued message.

The response_previewed field is still produced by the agent (run_agent.py)
but is no longer required as a gate for duplicate suppression. The stream
consumer's already_sent flag is the delivery-level truth about what the
user actually saw.

Concepts from PR #8380 (konsisumer). Closes #8375, #8221, #2483.

* fix(cron): include job_id in delivery and guide models on removal workflow

Users reported cron reminders keep firing after asking the agent to stop.
Root cause: the conversational agent didn't know the job_id (not in delivery)
and models don't reliably do the list→remove two-step without guidance.

1. Include job_id in the cron delivery wrapper so users and agents can
   reference it when requesting removal.

2. Replace confusing footer ('The agent cannot see this message') with
   actionable guidance ('To stop or manage this job, send me a new
   message').

3. Add explicit list→remove guidance in the cronjob tool schema so models
   know to list first and never guess job IDs.
2026-04-15 03:46:58 -07:00
Misturi dedc4600dd fix(skills): handle missing fields in Google Workspace token file gracefully instead of crashing with KeyError 2026-04-15 03:45:09 -07:00
Misturi 8bc9b5a0b4 fix(skills): use is None check for coordinates in find-nearby to avoid dropping valid 0.0 values 2026-04-15 03:45:09 -07:00
Teknium 2546b7acea fix(gateway): suppress duplicate replies on interrupt and streaming flood control
Three fixes for the duplicate reply bug affecting all gateway platforms:

1. base.py: Suppress stale response when the session was interrupted by a
   new message that hasn't been consumed yet. Checks both interrupt_event
   and _pending_messages to avoid false positives. (#8221, #2483)

2. run.py (return path): Remove response_previewed guard from already_sent
   check. Stream consumer's already_sent alone is authoritative — if
   content was delivered via streaming, the duplicate send must be
   suppressed regardless of the agent's response_previewed flag. (#8375)

3. run.py (queued-message path): Same fix — already_sent without
   response_previewed now correctly marks the first response as already
   streamed, preventing re-send before processing the queued message.

The response_previewed field is still produced by the agent (run_agent.py)
but is no longer required as a gate for duplicate suppression. The stream
consumer's already_sent flag is the delivery-level truth about what the
user actually saw.

Concepts from PR #8380 (konsisumer). Closes #8375, #8221, #2483.
2026-04-15 03:42:24 -07:00
Teknium 7b2700c9af fix(browser): use 127.0.0.1 instead of localhost for CDP default (#10231)
/browser connect set BROWSER_CDP_URL to http://localhost:9222, but
Chrome's --remote-debugging-port only binds to 127.0.0.1 (IPv4).
On macOS, 'localhost' can resolve to ::1 (IPv6) first, causing both
_resolve_cdp_override's /json/version fetch and agent-browser's
--cdp connection to fail when Chrome isn't listening on IPv6.

The socket check in the connect handler already used 127.0.0.1
explicitly and succeeded, masking the mismatch.

Use 127.0.0.1 in the default CDP URL to match what Chrome actually
binds to.
2026-04-15 03:29:37 -07:00
Teknium a4e1842f12 fix: strip reasoning item IDs from Responses API input when store=False (#10217)
With store=False (our default for the Responses API), the API does not
persist response items.  When reasoning items with 'id' fields were
replayed on subsequent turns, the API attempted a server-side lookup
for those IDs and returned 404:

  Item with id 'rs_...' not found. Items are not persisted when store
  is set to false.

The encrypted_content blob is self-contained for reasoning chain
continuity — the id field is unnecessary and triggers the failed lookup.

Fix: strip 'id' from reasoning items in both _chat_messages_to_responses_input
(message conversion) and _preflight_codex_input_items (normalization layer).
The id is still used for local deduplication but never sent to the API.

Reported by @zuogl448 on GPT-5.4.
2026-04-15 03:19:43 -07:00
Teknium e69526be79 fix(send_message): URL-encode Matrix room IDs and add Matrix to schema examples (#10151)
Matrix room IDs contain ! and : which must be percent-encoded in URI
path segments per the Matrix C-S spec. Without encoding, some
homeservers reject the PUT request.

Also adds 'matrix:!roomid:server.org' and 'matrix:@user:server.org'
to the tool schema examples so models know the correct target format.
2026-04-15 00:10:59 -07:00
Teknium 180b14442f test: add _parse_target_ref Matrix coverage for salvaged PR #6144 2026-04-15 00:08:14 -07:00
bkadish 03446e06bb fix(send_message): accept Matrix room IDs and user MXIDs as explicit targets
`_parse_target_ref` has explicit-reference branches for Telegram, Feishu,
and numeric IDs, but none for Matrix. As a result, callers of
`send_message(target="matrix:!roomid:server")` or
`send_message(target="matrix:@user:server")` fall through to
`(None, None, False)` and the tool errors out with a resolution failure —
even though a raw Matrix room ID or MXID is the most unambiguous possible
target.

Three-line fix: recognize `!…` as a room ID and `@…` as a user MXID when
platform is `matrix`, and return them as explicit targets. Alias-based
targets (`#…`) continue to go through the normal resolve path.
2026-04-15 00:08:14 -07:00
Teknium df7be3d8ae fix(cli): /model picker shows curated models instead of full catalog (#10146)
The /model picker called provider_model_ids() which fetches the FULL
live API catalog (hundreds of models for Anthropic, Copilot, etc.) and
only fell back to the curated list when the live fetch failed.

This flips the priority: use the curated model list from
list_authenticated_providers() (same lists as `hermes model` and
gateway pickers), falling back to provider_model_ids() only when the
curated list is empty (e.g. user-defined endpoints).
2026-04-15 00:07:50 -07:00
Ubuntu da8bab77fb fix(cli): restore messaging toolset for gateway platforms 2026-04-14 23:13:35 -07:00
Teknium 9932366f3c feat(doctor): add Command Installation check for hermes bin symlink
hermes doctor now checks whether the ~/.local/bin/hermes symlink exists
and points to the correct venv entry point. With --fix, it creates or
repairs the symlink automatically.

Covers:
- Missing symlink at ~/.local/bin/hermes (or $PREFIX/bin on Termux)
- Symlink pointing to wrong target
- Missing venv entry point (venv/bin/hermes or .venv/bin/hermes)
- PATH warning when ~/.local/bin is not on PATH
- Skipped on Windows (different mechanism)

Addresses user report: 'python -m hermes_cli.main doesn't have an option
to fix the local bin/install'

10 new tests covering all scenarios.
2026-04-14 23:13:11 -07:00
Teknium 029938fbed fix(cli): defensive subparser routing for argparse bpo-9338 (#10113)
On some Python versions, argparse fails to route subcommand tokens when
the parent parser has nargs='?' optional arguments (--continue).  The
symptom: 'hermes model' produces 'unrecognized arguments: model' even
though 'model' is a registered subcommand.

Fix: when argv contains a token matching a known subcommand, set
subparsers.required=True to force deterministic routing.  If that fails
(e.g. 'hermes -c model' where 'model' is consumed as the session name
for --continue), fall back to the default optional-subparsers behaviour.

Adds 13 tests covering all key argument combinations.

Reported via user screenshot showing the exact error on an installed
version with the model subcommand listed in usage but rejected at parse
time.
2026-04-14 23:13:02 -07:00
Teknium 772cfb6c4e fix: stale agent timeout, uv venv detection, empty response after tools, compression model fallback (#9051, #8620, #9400) (#10093)
Four independent fixes:

1. Reset activity timestamp on cached agent reuse (#9051)
   When the gateway reuses a cached AIAgent for a new turn, the
   _last_activity_ts from the previous turn (possibly hours ago)
   carried over. The inactivity timeout handler immediately saw
   the agent as idle for hours and killed it.

   Fix: reset _last_activity_ts, _last_activity_desc, and
   _api_call_count when retrieving an agent from the cache.

2. Detect uv-managed virtual environments (#8620 sub-issue 1)
   The systemd unit generator fell back to sys.executable (uv's
   standalone Python) when running under 'uv run', because
   sys.prefix == sys.base_prefix. The generated ExecStart pointed
   to a Python binary without site-packages.

   Fix: check VIRTUAL_ENV env var before falling back to
   sys.executable. uv sets VIRTUAL_ENV even when sys.prefix
   doesn't reflect the venv.

3. Nudge model to continue after empty post-tool response (#9400)
   Weaker models sometimes return empty after tool calls. The agent
   silently abandoned the remaining work.

   Fix: append assistant('(empty)') + user nudge message and retry
   once. Resets after each successful tool round.

4. Compression model fallback on permanent errors (#8620 sub-issue 4)
   When the default summary model (gemini-3-flash) returns 503
   'model_not_found' on custom proxies, the compressor entered a
   600s cooldown, leaving context growing unbounded.

   Fix: detect permanent model-not-found errors (503, 404,
   'model_not_found', 'no available channel') and fall back to
   using the main model for compression instead of entering
   cooldown. One-time fallback with immediate retry.

Test plan: 40 compressor tests + 97 gateway/CLI tests + 9 venv tests pass
2026-04-14 22:38:17 -07:00
Teknium 5d5d21556e fix: sync client.api_key during UnicodeEncodeError ASCII recovery (#10090)
The existing recovery block sanitized self.api_key and
self._client_kwargs['api_key'] but did not update self.client.api_key.
The OpenAI SDK stores its own copy of api_key and reads it dynamically
via the auth_headers property on every request. Without this fix, the
retry after sanitization would still send the corrupted key in the
Authorization header, causing the same UnicodeEncodeError.

The bug manifests when an API key contains Unicode lookalike characters
(e.g. ʋ U+028B instead of v) from copy-pasting out of PDFs, rich-text
editors, or web pages with decorative fonts. httpx hard-encodes all
HTTP headers as ASCII, so the non-ASCII char in the Authorization
header triggers the error.

Adds TestApiKeyClientSync with two tests verifying:
- All three key locations are synced after sanitization
- Recovery handles client=None (pre-init) without crashing
2026-04-14 22:37:45 -07:00
kshitijk4poor 9855190f23 feat(compressor): smart collapse, dedup, anti-thrashing, template upgrade, hardening
Combined salvage of PRs #9661, #9663, #9674, #9677, #9678 by kshitijk4poor.

- Smart tool output collapse: informative 1-line summaries replace generic placeholder
- Dedup identical tool results via MD5 hash, truncate large tool_call arguments
- Anti-thrashing: skip compression after 2 consecutive <10% savings passes
- Structured action-log summary template with numbered actions and Active State
- Hardening: max_tokens 1.3x cap, multimodal safety, note idempotency, adaptive cooldown

Follow-up fixes applied during salvage:
- web_extract: reads 'urls' (list) not 'url' (original PR bug)
- Multimodal list content guards in dedup and prune passes
- Kept 'Relevant Files' section in template (original PR removed it)

Skipped PRs #9665 (user msg preservation — duplication risk) and #9675 (dead code).
2026-04-14 22:21:25 -07:00
Teknium 50c35dcabe fix: stale agent timeout, uv venv detection, empty response after tools (#9051, #8620, #9400)
Three independent fixes:

1. Reset activity timestamp on cached agent reuse (#9051)
   When the gateway reuses a cached AIAgent for a new turn, the
   _last_activity_ts from the previous turn (possibly hours ago)
   carried over. The inactivity timeout handler immediately saw
   the agent as idle for hours and killed it.

   Fix: reset _last_activity_ts, _last_activity_desc, and
   _api_call_count when retrieving an agent from the cache.

2. Detect uv-managed virtual environments (#8620 sub-issue 1)
   The systemd unit generator fell back to sys.executable (uv's
   standalone Python) when running under 'uv run', because
   sys.prefix == sys.base_prefix (uv doesn't set up traditional
   venv activation). The generated ExecStart pointed to a Python
   binary without site-packages, crashing the service on startup.

   Fix: check VIRTUAL_ENV env var before falling back to
   sys.executable. uv sets VIRTUAL_ENV even when sys.prefix
   doesn't reflect the venv.

3. Nudge model to continue after empty post-tool response (#9400)
   Weaker models (GLM-5, mimo-v2-pro) sometimes return empty
   responses after tool calls instead of continuing to the next
   step. The agent silently abandoned the remaining work with
   '(empty)' or used prior-turn fallback text.

   Fix: when the model returns empty after tool calls AND there's
   no prior-turn content to fall back on, inject a one-time user
   nudge message telling the model to process the tool results and
   continue. The flag resets after each successful tool round so it
   can fire again on later rounds.

Test plan: 97 gateway + CLI tests pass, 9 venv detection tests pass
2026-04-14 22:16:02 -07:00
Teknium 93fe4ead83 fix: warn on invalid context_length format in config.yaml (#10067)
Previously, non-integer context_length values (e.g. '256K') in
config.yaml were silently ignored, causing the agent to fall back
to 128K auto-detection with no user feedback. This was confusing
for users with custom LiteLLM endpoints expecting larger context.

Now prints a clear stderr warning and logs at WARNING level when
model.context_length or custom_providers[].models.<model>.context_length
cannot be parsed as an integer, telling users to use plain integers
(e.g. 256000 instead of '256K').

Reported by community user ChFarhan via Discord.
2026-04-14 22:14:27 -07:00
Teknium a8b7db35b2 fix: interrupt agent immediately when user messages during active run (#10068)
When a user sends a message while the agent is executing a task on the
gateway, the agent is now interrupted immediately — not silently queued.
Previously, messages were stored in _pending_messages with zero feedback
to the user, potentially leaving them waiting 1+ hours.

Root cause: Level 1 guard (base.py) intercepted all messages for active
sessions and returned with no response. Level 2 (gateway/run.py) which
calls agent.interrupt() was never reached.

Fix: Expand _handle_active_session_busy_message to handle the normal
(non-draining) case:
  1. Call running_agent.interrupt(text) to abort in-flight tool calls
     and exit the agent loop at the next check point
  2. Store the message as pending so it becomes the next turn once the
     interrupted run returns
  3. Send a brief ack: 'Interrupting current task (10 min elapsed,
     iteration 21/60, running: terminal). I'll respond shortly.'
  4. Debounce acks to once per 30s to avoid spam on rapid messages

Reported by @Lonely__MH.
2026-04-14 22:07:28 -07:00
Teknium 8548893d14 feat: entry-level Podman support — find_docker() + rootless entrypoint (#10066)
- find_docker() now checks HERMES_DOCKER_BINARY env var first, then
  docker on PATH, then podman on PATH, then macOS known locations
- Entrypoint respects HERMES_HOME env var (was hardcoded to /opt/data)
- Entrypoint uses groupmod -o to tolerate non-unique GIDs (fixes macOS
  GID 20 conflict with Debian's dialout group)
- Entrypoint makes chown best-effort so rootless Podman continues
  instead of failing with 'Operation not permitted'
- 5 new tests covering env var override, podman fallback, precedence

Based on work by alanjds (PR #3996) and malaiwah (PR #8115).
Closes #4084.
2026-04-14 21:20:37 -07:00
Teknium c5688e7c8b fix(gateway): break compression-exhaustion infinite loop and auto-reset session (#9893)
When compression fails after max attempts, the agent returns
{completed: False, partial: True} but was missing the 'failed' flag.
The gateway's agent_failed_early guard checked for 'failed' AND
'not final_response', but _run_agent_blocking always converts errors
to final_response — making the guard dead code.  This caused the
oversized session to persist, creating an infinite fail loop where
every subsequent message hits the same compression failure.

Changes:
- run_agent.py: add 'failed: True' and 'compression_exhausted: True'
  to all 5 compression-exhaustion return paths
- gateway/run.py (_run_agent_blocking): forward 'failed' and
  'compression_exhausted' flags through to the caller
- gateway/run.py (_handle_message_with_agent): fix agent_failed_early
  to check bool(failed) without the broken 'not final_response' clause;
  auto-reset the session when compression is exhausted so the next
  message starts fresh
- Update tests to match new guard logic and add
  TestCompressionExhaustedFlag test class

Closes #9893
2026-04-14 21:18:17 -07:00
Teknium ba24f058ed docs: fix stale docstring reference to _discover_tools in mcp_tool.py 2026-04-14 21:12:29 -07:00
Teknium ef04de3e98 docs: update tool-adding instructions for auto-discovery
- AGENTS.md: 3 files → 2 files, remove _discover_tools() step
- adding-tools.md: remove Step 3, note auto-discovery
- architecture.md: update discovery description
- tools-runtime.md: replace manual list with discover_builtin_tools() docs
- hermes-agent skill: remove manual import step
2026-04-14 21:12:29 -07:00
Teknium fc6cb5b970 fix: tighten AST check to module-level only
The original tree-wide ast.walk() would match registry.register() calls
inside functions too. Restrict to top-level ast.Expr statements so helper
modules that call registry.register() inside a function are never picked
up as tool modules.
2026-04-14 21:12:29 -07:00
Greer Guthrie 4b2a1a4337 fix(tools): auto-discover built-in tool modules 2026-04-14 21:12:29 -07:00
Teknium 2871ef1807 docs: note session continuity for previous_response_id chains (#10060) 2026-04-14 21:07:37 -07:00
Teknium 5cbb45d93e fix: preserve session_id across previous_response_id chains in /v1/responses (#10059)
The /v1/responses endpoint generated a new UUID session_id for every
request, even when previous_response_id was provided. This caused each
turn of a multi-turn conversation to appear as a separate session on the
web dashboard, despite the conversation history being correctly chained.

Fix: store session_id alongside the response in the ResponseStore, and
reuse it when a subsequent request chains via previous_response_id.
Applies to both the non-streaming /v1/responses path and the streaming
SSE path. The /v1/runs endpoint also gains session continuity from
stored responses (explicit body.session_id still takes priority).

Adds test verifying session_id is preserved across chained requests.
2026-04-14 21:06:32 -07:00
Teknium ca0ae56ccb fix: add 402 billing error hint to gateway error handler (#5220) (#10057)
* fix: hermes gateway restart waits for service to come back up (#8260)

Previously, systemd_restart() sent SIGUSR1 to the gateway, printed
'restart requested', and returned immediately. The gateway still
needed to drain active agents, exit with code 75, wait for systemd's
RestartSec=30, and start the new process. The user saw 'success' but
the gateway was actually down for 30-60 seconds.

Now the SIGUSR1 path blocks with progress feedback:

Phase 1 — wait for old process to die:
   User service draining active work...
  Polls os.kill(pid, 0) until ProcessLookupError (up to 90s)

Phase 2 — wait for new process to become active:
   Waiting for hermes-gateway to restart...
  Polls systemctl is-active + verifies new PID (up to 60s)

Success:
  ✓ User service restarted (PID 12345)

Timeout:
  ⚠ User service did not become active within 60s.
    Check status: hermes gateway status
    Check logs: journalctl --user -u hermes-gateway --since '2 min ago'

The reload-or-restart fallback path (line 1189) already blocks because
systemctl reload-or-restart is synchronous.

Test plan:
- Updated test to verify wait-for-restart behavior
- All 118 gateway CLI tests pass

* fix: add 402 billing error hint to gateway error handler (#5220)

The gateway's exception handler for agent errors had specific hints for
HTTP 401, 429, 529, 400, 500 — but not 402 (Payment Required / quota
exhausted). Users hitting billing limits from custom proxy providers
got a generic error with no guidance.

Added: 'Your API balance or quota is exhausted. Check your provider
dashboard.'

The underlying billing classification (error_classifier.py) already
correctly handles 402 as FailoverReason.billing with credential
rotation and fallback. The original issue (#5220) where 402 killed
the entire gateway was from an older version — on current main, 402
is excluded from the is_client_error abort path (line 9460) and goes
through the proper retry/fallback/fail flow. Combined with PR #9875
(auto-recover from unexpected SIGTERM), even edge cases where the
gateway dies are now survivable.
2026-04-14 21:03:05 -07:00
Teknium 23b87c8ca8 chore: add zons-zhaozhy to AUTHOR_MAP 2026-04-14 21:01:40 -07:00
阿泥豆 92385679b6 fix: reset retry counters after compression and stop poisoning conversation history
Three bugfixes in the agent loop:

1. Reset retry counters after context compression. Without this,
   pre-compression retry counts carry over, causing the model to
   hit empty-response recovery immediately after a compression-
   induced context loss, wasting API calls on a now-valid context.

2. Unmute output in the final-response (no-tool-call) branch.
   _mute_post_response could be left True from a prior housekeeping
   turn, silently suppressing empty-response warnings and recovery
   status that the user should see.

3. Stop injecting 'Calling the X tools...' into assistant message
   content when falling back to prior-turn content. This mutated
   conversation history with synthetic text that the model never
   produced, poisoning subsequent turns.
2026-04-14 21:01:40 -07:00
Teknium 82f364ffd1 feat: add --all flag to gateway start and restart commands (#10043)
- gateway start --all: kills all stale gateway processes across all
  profiles before starting the current profile's service
- gateway restart --all: stops all gateway processes across all
  profiles, then starts the current profile's service fresh
- gateway stop --all: already existed, unchanged

The --all flag was only available on 'stop' but not on 'start' or
'restart', causing 'unrecognized arguments' errors for users.
2026-04-14 20:52:18 -07:00
Teknium 31d0620663 chore: add simon-marcus to AUTHOR_MAP 2026-04-14 20:51:52 -07:00
Teknium cf1d718823 fix: keep batch-path function_call_output.output as string per OpenAI spec
The streaming path emits output as content-part arrays for Open WebUI
compatibility, but the batch (non-streaming) Responses API path must
return output as a plain string per the OpenAI Responses API spec.
Reverts the _extract_output_items change from the cherry-picked commits
while preserving the streaming path's array format.
2026-04-14 20:51:52 -07:00
simon-marcus 302554b158 fix(api-server): format responses tool outputs for open webui 2026-04-14 20:51:52 -07:00
simon-marcus d6c09ab94a feat(api-server): stream /v1/responses SSE tool events 2026-04-14 20:51:52 -07:00
Teknium da528a8207 fix: detect and strip non-ASCII characters from API keys (#6843)
API keys containing Unicode lookalike characters (e.g. ʋ U+028B instead
of v) cause UnicodeEncodeError when httpx encodes the Authorization
header as ASCII.  This commonly happens when users copy-paste keys from
PDFs, rich-text editors, or web pages with decorative fonts.

Three layers of defense:

1. **Save-time validation** (hermes_cli/config.py):
   _check_non_ascii_credential() strips non-ASCII from credential values
   when saving to .env, with a clear warning explaining the issue.

2. **Load-time sanitization** (hermes_cli/env_loader.py):
   _sanitize_loaded_credentials() strips non-ASCII from credential env
   vars (those ending in _API_KEY, _TOKEN, _SECRET, _KEY) after dotenv
   loads them, so the rest of the codebase never sees non-ASCII keys.

3. **Runtime recovery** (run_agent.py):
   The UnicodeEncodeError recovery block now also sanitizes self.api_key
   and self._client_kwargs['api_key'], fixing the gap where message/tool
   sanitization succeeded but the API key still caused httpx to fail on
   the Authorization header.

Also: hermes_logging.py RotatingFileHandler now explicitly sets
encoding='utf-8' instead of relying on locale default (defensive
hardening for ASCII-locale systems).
2026-04-14 20:20:31 -07:00
kshitijk4poor 677f1227c3 fix: remove @staticmethod from _context_completions — crashes on @ mention
PR #9467 added a call to self._fuzzy_file_completions() inside
_context_completions(), but the method was still decorated with
@staticmethod and didn't receive self. Every @ mention in the input
triggers 'name self is not defined' from prompt_toolkit's async
completer, spamming the error on every keystroke.

Fix: remove @staticmethod, add self parameter. The method already uses
self._fuzzy_file_completions() and self._get_project_files() via that
call chain, so it was never meant to stay static after the fuzzy search
feature was added.
2026-04-14 19:43:42 -07:00
Teknium 4610551d74 fix: update stale comment referencing removed _sync_mcp_toolsets 2026-04-14 17:19:20 -07:00
Greer Guthrie 498cb7a0fc chore(release): map greer guthrie attribution 2026-04-14 17:19:20 -07:00
Greer Guthrie c10fea8d26 fix(mcp): make server aliases explicit 2026-04-14 17:19:20 -07:00
Greer Guthrie cda64a5961 fix(mcp): resolve toolsets from live registry 2026-04-14 17:19:20 -07:00
Teknium 2a98098035 fix: hermes gateway restart waits for service to come back up (#8260)
Previously, systemd_restart() sent SIGUSR1 to the gateway, printed
'restart requested', and returned immediately. The gateway still
needed to drain active agents, exit with code 75, wait for systemd's
RestartSec=30, and start the new process. The user saw 'success' but
the gateway was actually down for 30-60 seconds.

Now the SIGUSR1 path blocks with progress feedback:

Phase 1 — wait for old process to die:
   User service draining active work...
  Polls os.kill(pid, 0) until ProcessLookupError (up to 90s)

Phase 2 — wait for new process to become active:
   Waiting for hermes-gateway to restart...
  Polls systemctl is-active + verifies new PID (up to 60s)

Success:
  ✓ User service restarted (PID 12345)

Timeout:
  ⚠ User service did not become active within 60s.
    Check status: hermes gateway status
    Check logs: journalctl --user -u hermes-gateway --since '2 min ago'

The reload-or-restart fallback path (line 1189) already blocks because
systemctl reload-or-restart is synchronous.

Test plan:
- Updated test to verify wait-for-restart behavior
- All 118 gateway CLI tests pass
2026-04-14 17:12:58 -07:00
Teknium 6c89306437 fix: break stuck session resume loops after repeated restarts (#7536)
When a session gets stuck (hung terminal, runaway tool loop) and the
user restarts the gateway, the same session history loads and puts the
agent right back in the stuck state. The user is trapped in a loop:
restart → stuck → restart → stuck.

Fix: track restart-failure counts per session using a simple JSON file
(.restart_failure_counts). On each shutdown with active agents, the
counter increments for those sessions. On startup, if any session has
been active across 3+ consecutive restarts, it's auto-suspended —
giving the user a clean slate on their next message.

The counter resets to 0 when a session completes a turn successfully
(response delivered), so normal sessions that happen to be active
during planned restarts (/restart, hermes update) won't accumulate
false counts.

Implementation:
- _increment_restart_failure_counts(): called during stop() when
  agents are active. Writes {session_key: count} to JSON file.
  Sessions NOT active are dropped (loop broken).
- _suspend_stuck_loop_sessions(): called on startup. Reads the file,
  suspends sessions at threshold (3), clears the file.
- _clear_restart_failure_count(): called after successful response
  delivery. Removes the session from the counter file.

No SessionEntry schema changes. No database migration. Pure file-based
tracking that naturally cleans up.

Test plan:
- 9 new stuck-loop tests (increment, accumulate, threshold, clear,
  suspend, file cleanup, edge cases)
- All 28 gateway lifecycle tests pass (restart drain + auto-continue
  + stuck loop)
2026-04-14 17:08:35 -07:00
Teknium 847d7cbea5 fix: improve CLI text padding, word-wrap for responses and verbose tool output (#9920)
* feat(skills): add fitness-nutrition skill to optional-skills

Cherry-picked from PR #9177 by @haileymarshall.

Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies

Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)

Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'

* fix: increase CLI response text padding to 4-space tab indent

Increases horizontal padding on all response display paths:

- Rich Panel responses (main, background, /btw): padding (1,2) -> (1,4)
- Streaming text: add 4-space indent prefix to each line
- Streaming TTS: add 4-space indent prefix to sentences

Gives response text proper breathing room with a tab-width indent.
Rich Panel word wrapping automatically adjusts for the wider padding.

Requested by AriesTheCoder.

* fix: word-wrap verbose tool call args and results to terminal width

Verbose mode (tool_progress: verbose) printed tool args and results as
single unwrapped lines that could be thousands of characters long.

Adds _wrap_verbose() helper that:
- Pretty-prints JSON args with indent=2 instead of one-line dumps
- Splits text on existing newlines (preserves JSON/structured output)
- Wraps lines exceeding terminal width with 5-char continuation indent
- Uses break_long_words=True for URLs and paths without spaces

Applied to all 4 verbose print sites:
- Concurrent tool call args
- Concurrent tool results
- Sequential tool call args
- Sequential tool results

---------

Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
2026-04-14 16:58:23 -07:00
Teknium a9c78d0eb0 feat(setup): add recommendation badges to tool provider selection (#9929)
New users don't know which tool providers to pick during setup.
Add [badge] labels to each provider in the selection menu:

  - [★ recommended · free] for best default choices (Edge TTS, Local Browser)
  - [★ recommended] for top-tier paid options (Firecrawl Cloud)
  - [paid] for options requiring an API key
  - [free tier] for services with a free tier (Tavily)
  - [free · self-hosted] / [free · local] for self-run options
  - [subscription] for Nous subscription-managed options

Also improves vague tag descriptions — e.g. 'AI-native search and
contents' becomes 'Neural search with semantic understanding' and
Tavily gets '1000 free searches/mo'.

Both hermes setup and hermes tools share the same rendering path,
so badges appear in both flows.

Addresses user feedback about setup being confusing for newcomers.
2026-04-14 16:58:10 -07:00
Teknium e7475b1582 feat: auto-continue interrupted agent work after gateway restart (#4493)
When the gateway restarts mid-agent-work, the session transcript ends
on a tool result the agent never processed. Previously, the user had
to type 'continue' or use /retry (which replays from scratch, losing
all prior work).

Now, when the next user message arrives and the loaded history ends
with role='tool', a system note is prepended:

  [System note: Your previous turn was interrupted before you could
  process the last tool result(s). Please finish processing those
  results and summarize what was accomplished, then address the
  user's new message below.]

This is injected in _run_agent()'s run_sync closure, right before
calling agent.run_conversation(). The agent sees the full history
(including the pending tool results) and the system note, so it can
summarize what was accomplished and then handle the user's new input.

Design decisions:
- No new session flags or schema changes — purely detects trailing
  tool messages in the loaded history
- Works for any restart scenario (clean, crash, SIGTERM, drain timeout)
  as long as the session wasn't suspended (suspended = fresh start)
- The user's actual message is preserved after the note
- If the session WAS suspended (unclean shutdown), the old history is
  abandoned and the user starts fresh — no false auto-continue

Also updates the shutdown notification message from 'Use /retry after
restart to continue' to 'Send any message after restart to resume
where it left off' — which is now accurate.

Test plan:
- 6 new auto-continue tests (trailing tool detection, no false
  positives for assistant/user/empty history, multi-tool, message
  preservation)
- All 13 restart drain tests pass (updated /retry assertion)
2026-04-14 16:56:49 -07:00
Teknium ac1f8fcccd docs(termux): note browser tool PATH auto-discovery
Update the Termux guide to mention that the browser tool now
automatically discovers Termux directories, and add the missing
pkg install nodejs-lts step.
2026-04-14 16:55:55 -07:00
adybag14-cyber 56c34ac4f7 fix(browser): add termux PATH fallbacks
Refactor browser tool PATH construction to include Termux directories
(/data/data/com.termux/files/usr/bin, /data/data/com.termux/files/usr/sbin)
so agent-browser and npx are discoverable on Android/Termux.

Extracts _browser_candidate_path_dirs() and _merge_browser_path() helpers
to centralize PATH construction shared between _find_agent_browser() and
_run_browser_command(), replacing duplicated inline logic.

Also fixes os.pathsep usage (was hardcoded ':') for cross-platform correctness.

Cherry-picked from PR #9846.
2026-04-14 16:55:55 -07:00
Teknium 3ca7417c2a chore: add areu01or00 to AUTHOR_MAP 2026-04-14 16:55:48 -07:00
areu01or00 cfa24532d3 fix(discord): register native /restart slash command 2026-04-14 16:55:48 -07:00
Teknium b24e5ee4b0 feat(google-workspace): add --from flag for custom sender display name (#9931)
Adds --from flag to gmail send and gmail reply commands, allowing agents
to customize the From header display name when sharing the same email
account. Usage: --from '"Agent Name" <user@example.com>'

Also syncs repo google_api.py with the deployed standalone implementation
(replaces outdated gws_bridge thin wrapper), adds dedicated docs page
under Features > Skills, and updates sidebar navigation.

Requested by community user @Maxime44.
2026-04-14 16:55:34 -07:00
Julien Talbot 3b50821555 feat(xai): add xAI/Grok to provider prefix stripping
Add 'xai', 'x-ai', 'x.ai', 'grok' to _PROVIDER_PREFIXES so that
colon-prefixed model names (e.g. xai:grok-4.20) are stripped correctly
for context length lookups.

Cherry-picked from PR #9184 by @Julientalbot.
2026-04-14 16:43:42 -07:00
Teknium 10494b42a1 feat(discord): register skills under /skill command group with category subcommands (#9909)
Instead of consuming one top-level slash command slot per skill (hitting the
100-command limit with ~26 built-ins + 74 skills), skills are now organized
under a single /skill group command with category-based subcommand groups:

  /skill creative ascii-art [args]
  /skill media gif-search [args]
  /skill mlops axolotl [args]

Discord supports 25 subcommand groups × 25 subcommands = 625 max skills,
well beyond the previous 74-slot ceiling.

Categories are derived from the skill directory structure:
- skills/creative/ascii-art/ → category 'creative'
- skills/mlops/training/axolotl/ → category 'mlops' (top-level parent)
- skills/dogfood/ → uncategorized (direct subcommand)

Changes:
- hermes_cli/commands.py: add discord_skill_commands_by_category() with
  category grouping, hub/disabled filtering, Discord limit enforcement
- gateway/platforms/discord.py: replace top-level skill registration with
  _register_skill_group() using app_commands.Group hierarchy
- tests: 7 new tests covering group creation, category grouping,
  uncategorized skills, hub exclusion, deep nesting, empty skills,
  and handler dispatch

Inspired by Discord community suggestion from bottium.
2026-04-14 16:27:02 -07:00
Teknium 039023f497 diag: log all hermes processes on unexpected gateway shutdown (#9905)
When the gateway receives SIGTERM/SIGINT, the shutdown handler now
runs 'ps aux' and logs every hermes/gateway-related process (excluding
itself). This will show in agent.log as:

  WARNING: Shutdown diagnostic — other hermes processes running:
    hermes  1234 ... hermes update --gateway
    hermes  5678 ... hermes gateway restart

This is the missing diagnostic for #5646 / #6666 — we can prove
the restarts are from systemctl but can't determine WHO issues the
systemctl command. Next time it happens, the agent.log will contain
the evidence (the process that sent the signal or called systemctl
should still be alive when the handler fires).
2026-04-14 16:26:36 -07:00
Teknium 6448e1da23 feat(zai): add GLM-5V-Turbo support for coding plan (#9907)
- Add glm-5v-turbo to OpenRouter, Nous, and native Z.AI model lists
- Add glm-5v context length entry (200K tokens) to model metadata
- Update Z.AI endpoint probe to try multiple candidate models per
  endpoint (glm-5.1, glm-5v-turbo, glm-4.7) — fixes detection for
  newer coding plan accounts that lack older models
- Add zai to _PROVIDER_VISION_MODELS so auxiliary vision tasks
  (vision_analyze, browser screenshots) route through 5v

Fixes #9888
2026-04-14 16:26:01 -07:00
Teknium 1e5e1e822b fix: ESC cancels secret/sudo prompts, clearer skip messaging (#9902)
- Add ESC key binding (eager) for secret_state and sudo_state modal
  prompts — fires immediately, same behavior as Ctrl+C cancel
- Update placeholder text: 'Enter to submit · ESC to skip' (was
  'Enter to skip' which was confusing — Enter on empty looked like
  submitting nothing rather than intentionally skipping)
- Update widget body text: 'ESC or Ctrl+C to skip'
- Change feedback message from 'Secret entry cancelled' to 'Secret
  entry skipped' — more accurate for the action taken
- getpass fallback prompt also updated for non-TUI mode
2026-04-14 16:11:37 -07:00
Teknium 55ce76b372 feat: add architecture-diagram skill (Cocoon AI port) (#9906)
Port of Cocoon AI's architecture-diagram-generator (MIT) as a Hermes skill.
Generates professional dark-themed system architecture diagrams as standalone
HTML/SVG files. Self-contained output, no dependencies.

- SKILL.md with design system specs, color palette, layout rules
- HTML template with all component types, arrow styles, legend examples
- Fits alongside excalidraw in creative/ category

Source: https://github.com/Cocoon-AI/architecture-diagram-generator
2026-04-14 16:10:18 -07:00
Teknium 1525624904 fix: block agent from self-destructing gateway via terminal (#6666)
Add dangerous command patterns that require approval when the agent
tries to run gateway lifecycle commands via the terminal tool:

- hermes gateway stop/restart — kills all running agents mid-work
- hermes update — pulls code and restarts the gateway
- systemctl restart/stop (with optional flags like --user)

These patterns fire the approval prompt so the user must explicitly
approve before the agent can kill its own gateway process. In YOLO
mode, the commands run without approval (by design — YOLO means the
user accepts all risks).

Also fixes the existing systemctl pattern to handle flags between
the command and action (e.g. 'systemctl --user restart' was previously
undetected because the regex expected the action immediately after
'systemctl').

Root cause: issue #6666 reported agents running 'hermes gateway
restart' via terminal, killing the gateway process mid-agent-loop.
The user sees the agent suddenly stop responding with no explanation.
Combined with the SIGTERM auto-recovery from PR #9875, the gateway
now both prevents accidental self-destruction AND recovers if it
happens anyway.

Test plan:
- Updated test_systemctl_restart_not_flagged → test_systemctl_restart_flagged
- All 119 approval tests pass
- E2E verified: hermes gateway restart, hermes update, systemctl
  --user restart all detected; hermes gateway status, systemctl
  status remain safe
2026-04-14 15:43:31 -07:00
Teknium 353b5bacbd test: add tests for /health/detailed endpoint and gateway health probe
- TestHealthDetailedEndpoint: 3 tests for the new API server endpoint
  (returns runtime data, handles missing status, no auth required)
- TestProbeGatewayHealth: 5 tests for _probe_gateway_health()
  (URL normalization, successful/failed probes, fallback chain)
- TestStatusRemoteGateway: 4 tests for /api/status remote fallback
  (remote probe triggers, skipped when local PID found, null PID handling)
2026-04-14 15:41:30 -07:00
Hermes Agent 139a5e37a4 docs(docker): add dashboard section, expose API port, update Compose example
- Running in gateway mode: expose port 8642 for the API server and
  health endpoint, with a note on when it's needed.
- New 'Running the dashboard' section: docker run command with
  GATEWAY_HEALTH_URL and env var reference table.
- Docker Compose example: updated to include both gateway and dashboard
  services with internal network connectivity (hermes-net), so the
  dashboard probes the gateway via http://hermes:8642.
- Concurrent access warning: clarified that running a read-only
  dashboard alongside the gateway is safe.
2026-04-14 15:41:30 -07:00
Hermes Agent 673acf22ae fix: override stale 'stopped' state when health probe confirms gateway alive
When the gateway responds to the health probe but the local
gateway_state.json has a stale 'stopped' state (common in cross-container
setups where the file was written before the gateway restarted), the
dashboard would show 'Running (remote)' but with a 'Stopped' badge.

Now if the HTTP probe succeeded (remote_health_body is not None) and
gateway_state is 'stopped' or None, override it to 'running'. Also
handles the no-shared-volume case where runtime is None entirely.
2026-04-14 15:41:30 -07:00
Hermes Agent 6ed682f111 fix: normalise GATEWAY_HEALTH_URL to base URL before probing
The probe was appending '/detailed' to whatever URL was provided,
so GATEWAY_HEALTH_URL=http://host:8642 would try /8642/detailed
and /8642 — neither of which are valid routes.

Now strips any trailing /health or /health/detailed from the env var
and always probes {base}/health/detailed then {base}/health.
Accepts bare base URL, /health, or /health/detailed forms.
2026-04-14 15:41:30 -07:00
Hermes Agent 45595f4805 feat(dashboard): add HTTP health probe for cross-container gateway detection
The dashboard's gateway status detection relied solely on local PID checks
(os.kill + /proc), which fails when the gateway runs in a separate container.

Changes:
- web_server.py: Add _probe_gateway_health() that queries the gateway's HTTP
  /health/detailed endpoint when the local PID check fails. Activated by
  setting the GATEWAY_HEALTH_URL env var (e.g. http://gateway:8642/health).
  Falls back to standard PID check when the env var is not set.
- api_server.py: Add GET /health/detailed endpoint that returns full gateway
  state (platforms, gateway_state, active_agents, pid, etc.) without auth.
  The existing GET /health remains unchanged for backwards compatibility.
- StatusPage.tsx: Handle the case where gateway_pid is null but the gateway
  is running remotely, displaying 'Running (remote)' instead of 'PID null'.

Environment variables:
- GATEWAY_HEALTH_URL: URL of the gateway health endpoint (e.g.
  http://gateway-container:8642/health). Unset = local PID check only.
- GATEWAY_HEALTH_TIMEOUT: Probe timeout in seconds (default: 3).
2026-04-14 15:41:30 -07:00
Teknium 397386cae2 fix: gateway auto-recovers from unexpected SIGTERM via systemd (#5646)
Root cause: when the gateway received SIGTERM (from hermes update,
external kill, WSL2 runtime, etc.), it exited with status 0. systemd's
Restart=on-failure only restarts on non-zero exit, so the gateway
stayed dead permanently. Users had to manually restart.

Fix 1: Signal-initiated shutdown exits non-zero
When SIGTERM/SIGINT is received and no restart was requested (via
/restart, /update, or SIGUSR1), start_gateway() returns False which
causes sys.exit(1). systemd sees a failure exit and auto-restarts
after RestartSec=30.

This is safe because systemctl stop tracks its own stop-requested
state independently of exit code — Restart= never fires for a
deliberate stop, regardless of exit code.

Also logs 'Received SIGTERM/SIGINT — initiating shutdown' so the
cause of unexpected shutdowns is visible in agent.log.

Fix 2: PID file ownership guard
remove_pid_file() now checks that the PID file belongs to the current
process before removing it. During --replace handoffs, the old
process's atexit handler could fire AFTER the new process wrote its
PID file, deleting the new record. This left the gateway running but
invisible to get_running_pid(), causing 'Another gateway already
running' errors on next restart.

Test plan:
- All restart drain tests pass (13)
- All gateway service tests pass (84)
- All update gateway restart tests pass (34)
2026-04-14 15:35:58 -07:00
Teknium eed891f1bb security: supply chain hardening — CI pinning, dep pinning, and code fixes (#9801)
CI/CD Hardening:
- Pin all 12 GitHub Actions to full commit SHAs (was mutable @vN tags)
- Add explicit permissions: {contents: read} to 4 workflows
- Pin CI pip installs to exact versions (pyyaml==6.0.2, httpx==0.28.1)
- Extend supply-chain-audit.yml to scan workflow, Dockerfile, dependency
  manifest, and Actions version changes

Dependency Pinning:
- Pin git-based Python deps to commit SHAs (atroposlib, tinker, yc-bench)
- Pin WhatsApp Baileys from mutable branch to commit SHA

Tool Registry:
- Reject tool name shadowing from different tool families (plugins/MCP
  cannot overwrite built-in tools). MCP-to-MCP overwrites still allowed.

MCP Security:
- Add tool description content scanning for prompt injection patterns
- Log detailed change diff on dynamic tool refresh at WARNING level

Skill Manager:
- Fix dangerous verdict bug: agent-created skills with dangerous
  findings were silently allowed (ask->None->allow). Now blocked.
2026-04-14 14:23:37 -07:00
Teknium 9bbf7659e9 chore: add Roy-oss1 to AUTHOR_MAP 2026-04-14 14:22:11 -07:00
Roy-oss1 1aa76620d4 fix(feishu): keep approval clicks synchronized with callback card state
Feishu approval clicks need the resolved card to come back from the
synchronous callback path itself. Leaving approval resolution to the
generic asynchronous card-action flow made button feedback depend on
later loop work instead of the callback response the client is waiting
for.

Change-Id: I574997cbbcaa097fdba759b47367e28d1b56b040
Constraint: Feishu card-action callbacks must acknowledge quickly and reflect final approval state from the callback response path
Rejected: Keep approval handling on the generic async card-action route | leaves card state synchronization vulnerable to callback timing and follow-up update ordering
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Keep approval callback response construction separate from async queue unblocking unless Feishu callback semantics change
Tested: pytest tests/gateway/test_feishu.py tests/gateway/test_feishu_approval_buttons.py tests/gateway/test_approve_deny_commands.py tests/gateway/test_slack_approval_buttons.py tests/gateway/test_telegram_approval_buttons.py -q
Not-tested: Live Feishu workspace end-to-end callback rendering
2026-04-14 14:22:11 -07:00
Teknium fa8c448f7d fix: notify active sessions on gateway shutdown + update health check
Three fixes for gateway lifecycle stability:

1. Notify active sessions before shutdown (#new)
   When the gateway receives SIGTERM or /restart, it now sends a
   notification to every chat with an active agent BEFORE starting
   the drain. Users see:
   - Shutdown: 'Gateway shutting down — your task will be interrupted.'
   - Restart: 'Gateway restarting — use /retry after restart to continue.'
   Deduplicates per-chat so group sessions with multiple users get
   one notification. Best-effort: send failures are logged and swallowed.

2. Skip .clean_shutdown marker when drain timed out
   Previously, a graceful SIGTERM always wrote .clean_shutdown, even if
   agents were force-interrupted when the drain timed out. This meant
   the next startup skipped session suspension, leaving interrupted
   sessions in a broken state (trailing tool response, no final message).
   Now the marker is only written if the drain completed without timeout,
   so interrupted sessions get properly suspended on next startup.

3. Post-restart health check for hermes update (#6631)
   cmd_update() now verifies the gateway actually survived after
   systemctl restart (sleep 3s + is-active check). If the service
   crashed immediately, it retries once. If still dead, prints
   actionable diagnostics (journalctl command, manual restart hint).

Also closes #8104 — already fixed on main (the /restart handler
correctly detects systemd via INVOCATION_ID and uses via_service=True).

Test plan:
- 6 new tests for shutdown notifications (dedup, restart vs shutdown
  messaging, sentinel filtering, send failure resilience)
- Existing restart drain + update tests pass (47 total)
2026-04-14 14:21:57 -07:00
Teknium 95d11dfd8e docs: automation templates gallery + comparison post (#9821)
* feat(skills): add fitness-nutrition skill to optional-skills

Cherry-picked from PR #9177 by @haileymarshall.

Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies

Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)

Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'

* docs: add automation templates gallery and comparison post

- New docs page: guides/automation-templates.md with 15+ ready-to-use
  automation recipes covering development workflow, devops, research,
  GitHub events, and business operations
- Comparison post (hermes-already-has-routines.md) showing Hermes has
  had schedule/webhook/API triggers since March 2026
- Added automation-templates to sidebar navigation

---------

Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
2026-04-14 12:30:50 -07:00
Teknium a37a095980 fix: detect qwen-oauth provider via CLI tokens in /model picker
Seed qwen-oauth credentials from resolve_qwen_runtime_credentials() in
_seed_from_singletons(). Users who authenticate via 'qwen auth qwen-oauth'
store tokens in ~/.qwen/oauth_creds.json which the runtime resolver reads
but the credential pool couldn't detect — same gap pattern as copilot.

Uses refresh_if_expiring=False to avoid network calls during discovery.
2026-04-14 11:16:26 -07:00
Marvae 0bd3f521ae fix: detect copilot provider via gh auth token in /model picker
Seed copilot credentials from resolve_copilot_token() in the credential
pool's _seed_from_singletons(), alongside the existing anthropic and
openai-codex seeding logic. This makes copilot appear in the /model
provider picker when the user authenticates solely through gh auth token.

Cherry-picked from PR #9767 by Marvae.
2026-04-14 11:16:26 -07:00
Teknium 3e0bccc54c fix: update existing webhook tests to use _webhook_register_url
Follow-up for cherry-picked PR #9746 — three pre-existing tests used
adapter._webhook_url (bare URL) in mock data, but _register_webhook
and _unregister_webhook now compare against _webhook_register_url
(password-bearing URL). Updated to match.
2026-04-14 11:02:48 -07:00
cypres0099 326cbbe40e fix(gateway/bluebubbles): embed password in registered webhook URL for inbound auth
When BlueBubbles posts webhook events to the adapter, it uses the exact
URL registered via /api/v1/webhook — and BB's registration API does not
support custom headers. The adapter currently registers the bare URL
(no credentials), but then requires password auth on inbound POSTs,
rejecting every webhook with HTTP 401.

This is masked on fresh BB installs by a race condition: the webhook
might register once with a prior (possibly patched) URL and keep working
until the first restart. On v0.9.0, _unregister_webhook runs on clean
shutdown, so the next startup re-registers with the bare URL and the
401s begin. Users see the bot go silent with no obvious cause.

Root cause: there's no way to pass auth credentials from BB to the
webhook handler except via the URL itself. BB accepts query params and
preserves them on outbound POSTs.

## Fix

Introduce `_webhook_register_url` — the URL handed to BB's registration
API, with the configured password appended as a `?password=<value>`
query param. The existing webhook auth handler already accepts this
form (it reads `request.query.get("password")`), so no change to the
receive side is needed.

The bare `_webhook_url` is still used for logging and for binding the
local listener, so credentials don't leak into log output. Only the
registration/find/unregister paths use the password-bearing form.

## Notes

- Password is URL-encoded via urllib.parse.quote, handling special
  characters (&, *, @, etc.) that would otherwise break parsing.
- Storing the password in BB's webhook table is not a new disclosure:
  anyone with access to that table already has the BB admin password
  (same credential used for every other API call).
- If `self.password` is empty (no auth configured), the register URL
  is the bare URL — preserves current behavior for unauthenticated
  local-only setups.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 11:02:48 -07:00
cypres0099 8b52356849 fix(gateway/bluebubbles): fall back to data.chats[0].guid when chatGuid missing
BlueBubbles v1.9+ webhook payloads for new-message events do not always
include a top-level chatGuid field on the message data object. Instead,
the chat GUID is nested under data.chats[0].guid.

The adapter currently checks five top-level fallback locations (record and
payload, snake_case and camelCase, plus payload.guid) but never looks
inside the chats array. When none of those top-level fields contain the
GUID, the adapter falls through to using the sender's phone/email as the
session chat ID.

This causes two observable bugs when a user is a participant in both a DM
and a group chat with the bot:

1. DM and group sessions merge. Every message from that user ends up with
   the same session_chat_id (their own address), so the bot cannot
   distinguish which thread the message came from.

2. Outbound routing becomes ambiguous. _resolve_chat_guid() iterates all
   chats and returns the first one where the address appears as a
   participant; group chats typically sort ahead of DMs by activity, so
   replies and cron messages intended for the DM can land in a group.

This was observed in production: a user's morning brief cron delivered to
a group chat with his spouse instead of his DM thread.

The fix adds a single fallback that extracts chat_guid from
record["chats"][0]["guid"] when the top-level fields are empty. The chats
array is included in every new-message webhook payload in BB v1.9.9
(verified against a live server). It is backwards compatible: if a future
BB version starts including chatGuid at the top level, that still wins.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 11:02:48 -07:00
cypres0099 064f8d74de fix(gateway/bluebubbles): remove invalid "message" from webhook event registration
The BlueBubbles adapter registers its webhook with three events:
["new-message", "updated-message", "message"]. The third, "message",
is not a valid event type in the BlueBubbles server API — BB rejects
the registration payload with HTTP 400 Bad Request.

Currently this is masked by the "crash resilience" check in
_register_webhook, which reuses any existing registration matching the
webhook URL and short-circuits before reaching the API call. So an
already-registered webhook from a prior run keeps working. But any fresh
install, or any restart after _unregister_webhook has run during a clean
shutdown, fails to re-register and silently stops receiving messages.

Observed in production: after a gateway restart in v0.9.0 (which auto-
unregisters on shutdown), the next startup hit this 400 and the bot went
silent until the invalid event was removed.

BlueBubbles documents "new-message" and "updated-message" as the message
event types (see https://docs.bluebubbles.app/). There is no "message"
event, and no harm in dropping it — the two remaining events cover all
inbound message webhooks.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 11:02:48 -07:00
Teknium 99bcc2de5b fix(security): harden dashboard API against unauthenticated access (#9800)
Addresses responsible disclosure from FuzzMind Security Lab (CVE pending).

The web dashboard API server had 36 endpoints, of which only 5 checked
the session token. The token itself was served from an unauthenticated
GET /api/auth/session-token endpoint, rendering the protection circular.
When bound to 0.0.0.0 (--host flag), all API keys, config, and cron
management were accessible to any machine on the network.

Changes:
- Add auth middleware requiring session token on ALL /api/ routes except
  a small public whitelist (status, config/defaults, config/schema,
  model/info)
- Remove GET /api/auth/session-token endpoint entirely; inject the token
  into index.html via a <script> tag at serve time instead
- Replace all inline token comparisons (!=) with hmac.compare_digest()
  to prevent timing side-channel attacks
- Block non-localhost binding by default; require --insecure flag to
  override (with warning log)
- Update frontend fetchJSON() to send Authorization header on all
  requests using the injected window.__HERMES_SESSION_TOKEN__

Credit: Callum (@0xca1x) and @migraine-sudo at FuzzMind Security Lab
2026-04-14 10:57:56 -07:00
asheriif b583210c97 fix(gateway): fix regression causing display.streaming to override root streaming key 2026-04-14 10:52:23 -07:00
Teknium 8bb5973950 docs: add proxy mode documentation
- Matrix docs: full Proxy Mode section with architecture diagram,
  step-by-step setup (host + Docker), docker-compose.yml/Dockerfile
  examples, configuration reference, and limitations notes
- API Server docs: add Proxy Mode section explaining the api_server
  serves as the backend for gateway proxy mode
- Environment variables reference: add GATEWAY_PROXY_URL and
  GATEWAY_PROXY_KEY entries
2026-04-14 10:49:48 -07:00
Teknium 90c98345c9 feat: gateway proxy mode — forward messages to remote API server
When GATEWAY_PROXY_URL (or gateway.proxy_url in config.yaml) is set,
the gateway becomes a thin relay: it handles platform I/O (encryption,
threading, media) and delegates all agent work to a remote Hermes API
server via POST /v1/chat/completions with SSE streaming.

This enables the primary use case of running a Matrix E2EE gateway in
Docker on Linux while the actual agent runs on the host (e.g. macOS)
with full access to local files, memory, skills, and a unified session
store. Works for any platform adapter, not just Matrix.

Configuration:
  - GATEWAY_PROXY_URL env var (Docker-friendly)
  - gateway.proxy_url in config.yaml
  - GATEWAY_PROXY_KEY env var for API auth (matches API_SERVER_KEY)
  - X-Hermes-Session-Id header for session continuity

Architecture:
  - _get_proxy_url() checks env var first, then config.yaml
  - _run_agent_via_proxy() handles HTTP forwarding with SSE streaming
  - _run_agent() delegates to proxy path when URL is configured
  - Platform streaming (GatewayStreamConsumer) works through proxy
  - Returns compatible result dict for session store recording

Files changed:
  - gateway/run.py: proxy mode implementation (~250 lines)
  - hermes_cli/config.py: GATEWAY_PROXY_URL + GATEWAY_PROXY_KEY env vars
  - tests/gateway/test_proxy_mode.py: 17 tests covering config
    resolution, dispatch, HTTP forwarding, error handling, message
    filtering, and result shape validation

Closes discussion from Cars29 re: Matrix gateway mixed-mode issue.
2026-04-14 10:49:48 -07:00
zhiheng.liu 1ace9b4dc4 fix: memory_setup.py - write non-secret env vars, check all fields in status
Critical bug fixes only (no redundant changes):

1. **Write non-secret fields to .env** - Add non-secret fields with env_var to env_writes so they get saved to .env
2. **Status checks all fields** - Check all fields with env_var (both secret and non-secret), not just secrets

Fixes:
- OPENVIKING_ENDPOINT and similar non-secret env vars now get written to .env
- hermes memory status now shows ALL missing required fields
2026-04-14 10:49:35 -07:00
dirtyfancy e964cfc403 fix(gateway): trigger memory provider shutdown on /new and /reset
The /new and /reset commands were not calling shutdown_memory_provider()
on the cached agent before eviction. This caused OpenViking (and any
memory provider that relies on session-end shutdown) to skip commit,
leaving memories un-indexed until idle timeout or gateway shutdown.

Add the missing shutdown_memory_provider() call in _handle_reset_command(),
matching the behavior already present in the session expiry watcher.

Fixes #7759
2026-04-14 10:49:35 -07:00
Disaster-Terminator 9bdfcd1b93 feat: sort tool search results by score and add corresponding unit test 2026-04-14 10:49:35 -07:00
Teknium b867171291 fix: preserve profile name completion in dynamic shell completion
The dynamic parser walker from the contributor's commit lost the profile
name tab-completion that existed in the old static generators. This adds
it back for all three shells:

- Bash: _hermes_profiles() helper, -p/--profile completion, profile
  action→name completion (use/delete/show/alias/rename/export)
- Zsh: _hermes_profiles() function, -p/--profile argument spec, profile
  action case with name completion
- Fish: __hermes_profiles function, -s p -l profile flag, profile action
  completions

Also removes the dead fallback path in cmd_completion() that imported
the old static generators from profiles.py (parser is always available
via the lambda wiring) and adds 11 regression-prevention tests for
profile completion.
2026-04-14 10:45:42 -07:00
leozeli c95b1c5096 fix(install): add fish shell support in install.sh
Fish users' $SHELL is /usr/bin/fish, which fell into the '*' case and
incorrectly wrote 'export PATH=...' to ~/.bashrc and ~/.zshrc — neither
of which fish reads.

- setup_path(): add fish) case that writes fish_add_path to
  ~/.config/fish/config.fish (fish-compatible PATH syntax)
- setup_path(): skip ~/.profile for fish (not sourced by fish)
- print_success(): show correct reload instruction for fish:
  source ~/.config/fish/config.fish

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-14 10:45:42 -07:00
leozeli a686dbdd26 feat(cli): add dynamic shell completion for bash, zsh, and fish
Replaces the hardcoded completion stubs in profiles.py with a dynamic
generator that walks the live argparse parser tree at runtime.

- New hermes_cli/completion.py: _walk() recursively extracts all
  subcommands and flags; generate_bash/zsh/fish() produce complete
  scripts with nested subcommand support
- cmd_completion now accepts the parser via closure so completions
  always reflect the actual registered commands (including plugin-
  registered ones like honcho)
- completion subcommand now accepts bash | zsh | fish (fish requested
  in issue comments)
- Fix _SUBCOMMANDS set: add honcho, claw, plugins, acp, webhook,
  memory, dump, debug, backup, import, completion, logs so that
  multi-word session names after -c/-r are not broken by these commands
- Add tests/hermes_cli/test_completion.py: 17 tests covering parser
  extraction, alias deduplication, bash/zsh/fish output content,
  bash syntax validation, fish syntax validation, and subcommand
  drift prevention

Tested on Linux (Arch). bash and fish completion verified live.
zsh script passes syntax check (zsh not installed on test machine).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-14 10:45:42 -07:00
N0nb0at b21b3bfd68 feat(plugins): namespaced skill registration for plugin skill bundles
Add ctx.register_skill() API so plugins can ship SKILL.md files under
a 'plugin:skill' namespace, preventing name collisions with built-in
Hermes skills. skill_view() detects the ':' separator and routes to
the plugin registry while bare names continue through the existing
flat-tree scan unchanged.

Key additions:
- agent/skill_utils: parse_qualified_name(), is_valid_namespace()
- hermes_cli/plugins: PluginContext.register_skill(), PluginManager
  skill registry (find/list/remove)
- tools/skills_tool: qualified name dispatch in skill_view(),
  _serve_plugin_skill() with full guards (disabled, platform,
  injection scan), bundle context banner with sibling listing,
  stale registry self-heal
- Hoisted _INJECTION_PATTERNS to module level (dedup)
- Updated skill_view schema description

Based on PR #9334 by N0nb0at. Lean P1 salvage — omits autogen shim
(P2) for a simpler first merge.

Closes #8422
2026-04-14 10:42:58 -07:00
Dusk1e 4b47856f90 fix: load credentials from HERMES_HOME .env in trajectory_compressor 2026-04-14 10:24:19 -07:00
Teknium 8a002d4efc chore: add ChimingLiu to AUTHOR_MAP 2026-04-14 10:22:11 -07:00
Teknium 8ea9ceb44c fix: guard reply_to_text against DeletedReferencedMessage
Use getattr() for resolved.content since discord.py's
DeletedReferencedMessage lacks a content attribute. Adds test
for the deleted-message edge case.
2026-04-14 10:22:11 -07:00
ChimingLiu 7636baf49c feat(discord): extract reply text from message references 2026-04-14 10:22:11 -07:00
Teknium 0e7dd30acc fix(browser): fix Camofox JS eval endpoint, userId, and package rename (#9774)
- Fix _camofox_eval() endpoint: /tabs/{id}/eval → /tabs/{id}/evaluate
  (correct Camofox REST API path)
- Add required userId field to JS eval request body (all other Camofox
  endpoints already include it)
- Update npm package from @askjo/camoufox-browser ^1.0.0 to
  @askjo/camofox-browser ^1.5.2 (upstream package was renamed)
- Update tools_config.py post-setup to reference new package directory
  and npx command
- Bump Node engine requirement from >=18 to >=20 (required by
  camoufox-js dependency in camofox-browser v1.5.2)
- Regenerate package-lock.json

Fixes issues reported in PRs #9472, #8267, #7208 (stale).
2026-04-14 10:21:54 -07:00
Teknium 5f36b42b2e fix: nest msvcrt import inside fcntl except block
Match cron/scheduler.py pattern — only attempt msvcrt import when
fcntl is unavailable. Pre-declare msvcrt = None at module level so
_file_lock() references don't NameError on Linux.
2026-04-14 10:18:05 -07:00
Dusk1e 420d27098f fix(tools): keep memory tool available when fcntl is unavailable 2026-04-14 10:18:05 -07:00
Zhuofeng Wang 449c17e9a9 fix(gateway): support Telegram MarkdownV2 expandable blockquotes 2026-04-14 10:16:49 -07:00
shijianzhi 70611879de fix(cli): fix doctor checks for Kimi China credentials 2026-04-14 10:16:30 -07:00
Austin Pickett 206259d111 Merge pull request #9701 from NousResearch/fix/dashboard-routing-v2
feat(web): re-apply dashboard UI improvements on top of i18n
2026-04-14 08:46:17 -07:00
Austin Pickett 4ffaac542b fix(web): i18n fixes for sidebar and dropdown labels
- Add missing translation keys: skills.resultCount, skills.toolsetLabel
- Replace hardcoded "result(s)" and "toolset" with translated strings
- Fix stale useMemo in SkillsPage allCategories (missing `t` dependency)
  causing sidebar category names to stay in English after language switch

Made-with: Cursor
2026-04-14 10:32:51 -04:00
Austin Pickett e88aa8a58c feat(web): re-apply dashboard UI improvements on top of i18n
Re-applies changes from #9471 that were overwritten by the i18n PR:

- URL-based routing via react-router-dom (NavLink, Routes, BrowserRouter)
- Replace emoji icons with lucide-react in ConfigPage and SkillsPage
- Sidebar layout for ConfigPage, SkillsPage, and LogsPage
- Custom dropdown Select component (SelectOption) in CronPage
- Remove all non-functional rounded borders across the UI
- Fixed header with proper content offset

Made-with: Cursor
2026-04-14 10:23:43 -04:00
Ben Barclay 16f9d02084 Merge pull request #9475 from NousResearch/docs/fix-docker-version-command
docs: update docker version check command
2026-04-14 20:27:24 +10:00
Teknium 7ad47ace51 fix: resolve remaining 4 CI test failures (#9543)
- test_auth_commands: suppress _seed_from_singletons auto-seeding that
  adds extra credentials from CI env (same pattern as nearby tests)
- test_interrupt: clear stale _interrupted_threads set to prevent
  thread ident reuse from prior tests in same xdist worker
- test_code_execution: add watch_patterns to _BLOCKED_TERMINAL_PARAMS
  to match production _TERMINAL_BLOCKED_PARAMS
2026-04-14 02:18:38 -07:00
Teknium b4fcec6412 fix: prevent streaming cursor from appearing as standalone messages (#9538)
During rapid tool-calling, the model often emits 1-2 tokens before
switching to tool calls. The stream consumer would create a new message
with 'X ▉' (short text + cursor), and if the follow-up edit to strip
the cursor was rate-limited by the platform, the cursor remained as
a permanent standalone message — reported on Telegram as 'white box'
artifacts.

Add a minimum-content guard in _send_or_edit: when creating a new
standalone message (no existing message_id), require at least 4
visible characters alongside the cursor before sending. Shorter text
accumulates into the next streaming segment instead.

This prevents cursor-only 'tofu' messages across all platforms without
affecting normal streaming (edits to existing messages, final sends
without cursor, and messages with substantial text are all unaffected).

Reported by @michalkomar on X.
2026-04-14 01:52:42 -07:00
Teknium 2558d28a9b fix: resolve CI test failures — add missing functions, fix stale tests (#9483)
Production fixes:
- Add clear_session_context() to hermes_logging.py (fixes 48 teardown errors)
- Add clear_session() to tools/approval.py (fixes 9 setup errors)
- Add SyncError M_UNKNOWN_TOKEN check to Matrix _sync_loop (bug fix)
- Fall back to inline api_key in named custom providers when key_env
  is absent (runtime_provider.py)

Test fixes:
- test_memory_user_id: use builtin+external provider pair, fix honcho
  peer_name override test to match production behavior
- test_display_config: remove TestHelpers for non-existent functions
- test_auxiliary_client: fix OAuth tokens to match _is_oauth_token
  patterns, replace get_vision_auxiliary_client with resolve_vision_provider_client
- test_cli_interrupt_subagent: add missing _execution_thread_id attr
- test_compress_focus: add model/provider/api_key/base_url/api_mode
  to mock compressor
- test_auth_provider_gate: add autouse fixture to clean Anthropic env
  vars that leak from CI secrets
- test_opencode_go_in_model_list: accept both 'built-in' and 'hermes'
  source (models.dev API unavailable in CI)
- test_email: verify email Platform enum membership instead of source
  inspection (build_channel_directory now uses dynamic enum loop)
- test_feishu: add bot_added/bot_deleted handler mocks to _Builder
- test_ws_auth_retry: add AsyncMock for sync_store.get_next_batch,
  add _pending_megolm and _joined_rooms to Matrix adapter mocks
- test_restart_drain: monkeypatch-delete INVOCATION_ID (systemd sets
  this in CI, changing the restart call signature)
- test_session_hygiene: add user_id to SessionSource
- test_session_env: use relative baseline for contextvar clear check
  (pytest-xdist workers share context)
2026-04-14 01:43:45 -07:00
Jiawen-lee 2cfd2dafc6 feat(gateway): add ignored_threads config for Telegram 2026-04-14 01:40:32 -07:00
Teknium 1acf81fdf5 docs: add QQBot to all 14 docs pages (full platform parity)
- sidebars.ts: sidebar navigation entry
- webhooks.md: deliver field routing table
- configuration.md: platform keys list
- sessions.md: platform identifiers table
- features/cron.md: delivery target table
- developer-guide/architecture.md: adapter listing
- developer-guide/cron-internals.md: delivery target table
- developer-guide/gateway-internals.md: file tree listing
- guides/cron-troubleshooting.md: supported platforms list
- integrations/index.md: platform links list
- reference/toolsets-reference.md: toolset table

(qqbot.md, environment-variables.md, and messaging/index.md were
already included in the contributor's original PR)
2026-04-14 00:11:49 -07:00
Teknium 8d545da3ff fix: add platform lock, send retry, message splitting, REST one-shot, shared strip_markdown
Improvements from our earlier #8269 salvage work applied to #7616:

- Platform token lock: acquire_scoped_lock/release_scoped_lock prevents
  two profiles from double-connecting the same QQ bot simultaneously
- Send retry with exponential backoff (3 attempts, 1s/2s/4s) with
  permanent vs transient error classification (matches Telegram pattern)
- Proper long-message splitting via truncate_message() instead of
  hard-truncating at MAX_MESSAGE_LENGTH (preserves code blocks, adds 1/N)
- REST-based one-shot send in send_message_tool — uses QQ Bot REST API
  directly with httpx instead of creating a full WebSocket adapter per
  message (fixes the connect→send race condition)
- Use shared strip_markdown() from helpers.py instead of 15 lines of
  inline regex with import-inside-method (DRY, same as BlueBubbles/SMS)
- format_message() now wired into send() pipeline
2026-04-14 00:11:49 -07:00
Teknium 4654f75627 fix: QQBot missing integration points, timestamp parsing, test fix
- Add Platform.QQBOT to _UPDATE_ALLOWED_PLATFORMS (enables /update command)
- Add 'qqbot' to webhook cross-platform delivery routing
- Add 'qqbot' to hermes dump platform detection
- Fix test_name_property casing: 'QQBot' not 'QQBOT'
- Add _parse_qq_timestamp() for ISO 8601 + integer ms compatibility
  (QQ API changed timestamp format — from PR #2411 finding)
- Wire timestamp parsing into all 4 message handlers
2026-04-14 00:11:49 -07:00
walli 884cd920d4 feat(gateway): unify QQBot branding, add PLATFORM_HINTS, fix streaming, restore missing setup functions
- Rename platform from 'qq' to 'qqbot' across all integration points
  (Platform enum, toolset, config keys, import paths, file rename qq.py → qqbot.py)
- Add PLATFORM_HINTS for QQBot in prompt_builder (QQ supports markdown)
- Set SUPPORTS_MESSAGE_EDITING = False to skip streaming on QQ
  (prevents duplicate messages from non-editable partial + final sends)
- Add _send_qqbot() standalone send function for cron/send_message tool
- Add interactive _setup_qq() wizard in hermes_cli/setup.py
- Restore missing _setup_signal/email/sms/dingtalk/feishu/wecom/wecom_callback
  functions that were lost during the original merge
2026-04-14 00:11:49 -07:00
Junjun Zhang 87bfc28e70 feat: add QQ Bot platform adapter (Official API v2)
Add full QQ Bot integration via the Official QQ Bot API (v2):
- WebSocket gateway for inbound events (C2C, group, guild, DM)
- REST API for outbound text/markdown/media messages
- Voice transcription (Tencent ASR + configurable STT provider)
- Attachment processing (images, voice, files)
- User authorization (allowlist + allow-all + DM pairing)

Integration points:
- gateway: Platform.QQ enum, adapter factory, allowlist maps
- CLI: setup wizard, gateway config, status display, tools config
- tools: send_message cross-platform routing, toolsets
- cron: delivery platform support
- docs: QQ Bot setup guide
2026-04-14 00:11:49 -07:00
Teknium eb44abd6b1 feat: improve file search UX — fuzzy @ completions, mtime sorting, better suggestions (#9467)
Three improvements to file search based on user feedback:

1. Fuzzy @ completions (commands.py):
   - Bare @query now does project-wide fuzzy file search instead of
     prefix-only directory listing
   - Uses rg --files with 5-second cache for responsive completions
   - Scoring: exact name (100) > prefix (80) > substring (60) >
     path contains (40) > subsequence with boundary bonus (35/25)
   - Bare @ with no query shows recently modified files first

2. Mtime-sorted file search (file_operations.py):
   - _search_files_rg now uses --sortr=modified (rg 13+) to surface
     recently edited files first
   - Falls back to unsorted on older rg versions

3. Improved file-not-found suggestions (file_operations.py):
   - Replaced crude character-set overlap with ranked scoring:
     same basename (90) > prefix (70) > substring (60) >
     reverse substring (40) > same extension (30)
   - search_files path-not-found now suggests similar directories
     from the parent
2026-04-13 23:54:45 -07:00
Greer Guthrie c7e2fe655a fix: make tool registry reads thread-safe 2026-04-13 23:52:32 -07:00
Teknium 6dc8f8e9c0 feat(skin): add warm-lightmode skin from PR #4811
Add a second light-mode skin option with warm brown/parchment tones,
adapted from ygd58's contribution in PR #4811. Includes completion
menu and status bar color keys for full light-terminal support.

Co-authored-by: buray <78954051+ygd58@users.noreply.github.com>
2026-04-13 23:51:21 -07:00
Liu Chongwei bc93641c4f feat(skins): add built-in daylight skin 2026-04-13 23:51:21 -07:00
Ben Barclay 9ffc26bc8f docs: update docker version check command
Replace `docker exec hermes hermes version` with
`docker run -it --rm nousresearch/hermes-agent:latest version`
2026-04-14 06:37:50 +00:00
Teknium a2ea237db2 feat: add internationalization (i18n) to web dashboard — English + Chinese (#9453)
Add a lightweight i18n system to the web dashboard with English (default) and
Chinese language support. A language switcher with flag icons is placed in the
header bar, allowing users to toggle between languages. The choice persists
to localStorage.

Implementation:
- src/i18n/ — types, translation files (en.ts, zh.ts), React context + hook
- LanguageSwitcher component shows the *other* language's flag as the toggle
- I18nProvider wraps the app in main.tsx
- All 8 pages + OAuth components updated to use t() translation calls
- Zero new dependencies — pure React context + localStorage
2026-04-13 23:19:13 -07:00
Teknium 19199cd38d fix: clamp 'minimal' reasoning effort to 'low' on Responses API (#9429)
GPT-5.4 supports none/low/medium/high/xhigh but not 'minimal'.
Users may configure 'minimal' via OpenRouter conventions, which would
cause a 400 on native OpenAI. Clamp to 'low' in the codex_responses
path before sending.
2026-04-13 23:11:13 -07:00
Teknium 38ad158b6b fix: auto-correct close model name matches in /model validation (#9424)
* feat(skills): add fitness-nutrition skill to optional-skills

Cherry-picked from PR #9177 by @haileymarshall.

Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies

Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)

Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'

* fix: auto-correct close model name matches in /model validation

When a user types a model name with a minor typo (e.g. gpt5.3-codex instead
of gpt-5.3-codex), the validation now auto-corrects to the closest match
instead of accepting the wrong name with a warning.

Uses difflib get_close_matches with cutoff=0.9 to avoid false corrections
(e.g. gpt-5.3 should not silently become gpt-5.4). Applied consistently
across all three validation paths: codex provider, custom endpoints, and
generic API-probed providers.

The validate_requested_model() return dict gains an optional corrected_model
key that switch_model() applies before building the result.

Reported by Discord user — /model gpt5.3-codex was accepted with a warning
but would fail at the API level.

---------

Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
2026-04-13 23:09:39 -07:00
Teknium 35424f8fc1 chore: add bennytimz to AUTHOR_MAP 2026-04-13 23:03:08 -07:00
oluwadareab12 a91b9bb855 feat(skills): add drug-discovery optional skill — ChEMBL, PubChem, OpenFDA, ADMET analysis
Pharmaceutical research skill covering bioactive compound search (ChEMBL),
drug-likeness screening (Lipinski Ro5 + Veber via PubChem), drug-drug
interaction lookups (OpenFDA), gene-disease associations (OpenTargets
GraphQL), and ADMET reasoning guidance. All free public APIs, zero auth,
stdlib-only Python. Includes helper scripts for batch Ro5 screening and
target-to-compound pipelines.

Moved to optional-skills/research/ (niche domain skill, not built-in).
Fixed: authors→author frontmatter, removed unused jq prerequisite,
bare except→except Exception.

Co-authored-by: bennytimz <oluwadareab12@gmail.com>
Salvaged from PR #8695.
2026-04-13 23:03:08 -07:00
Teknium d631431872 feat: prompt for display name when adding custom providers (#9420)
During custom endpoint setup, users are now asked for a display name
with the auto-generated name as the default. Typing 'Ollama' or
'LM Studio' replaces the generic 'Local (localhost:11434)' in the
provider menu.

Extracts _auto_provider_name() for reuse and adds a name= parameter
to _save_custom_provider() so the caller can pass through the
user-chosen label.
2026-04-13 22:41:00 -07:00
Kenny Xie cdd44817f2 fix(anthropic): send fast mode speed via extra_body 2026-04-13 22:32:39 -07:00
Teknium 110892ff69 docs: move Xiaomi MiMo up in README provider list 2026-04-13 22:30:44 -07:00
Teknium 3de2b98503 fix(streaming): filter <think> blocks from gateway stream consumer
Models like MiniMax emit inline <think>...</think> reasoning blocks in
their content field. The CLI already suppresses these via a state machine
in _stream_delta, but the gateway's GatewayStreamConsumer had no
equivalent filtering — raw think blocks were streamed directly to
Discord/Telegram/Slack.

The fix adds a _filter_and_accumulate() method that mirrors the CLI's
approach: a state machine tracks whether we're inside a reasoning block
and silently discards the content. Includes the same block-boundary
check (tag must appear at line start or after whitespace-only prefix)
to avoid false positives when models mention <think> in prose.

Handles all tag variants: <think>, <thinking>, <THINKING>, <thought>,
<reasoning>, <REASONING_SCRATCHPAD>.

Also handles edge cases:
- Tags split across streaming deltas (partial tag buffering)
- Unclosed blocks (content suppressed until stream ends)
- Multiple consecutive blocks
- _flush_think_buffer on stream end for held-back partial tags

Adds 22 unit tests + 1 integration test covering all scenarios.
2026-04-13 22:16:20 -07:00
helix4u e08590888a fix: honor interrupts during MCP tool waits 2026-04-13 22:14:55 -07:00
Teknium 69d619cf89 docs: add Hugging Face and Xiaomi MiMo to README provider list (#9406)
* feat(skills): add fitness-nutrition skill to optional-skills

Cherry-picked from PR #9177 by @haileymarshall.

Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies

Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)

Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'

* docs: add Hugging Face and Xiaomi MiMo to README provider list

---------

Co-authored-by: haileymarshall <haileymarshall@users.noreply.github.com>
2026-04-13 22:12:46 -07:00
haileymarshall f0b353bade feat(skills): add fitness-nutrition skill to optional-skills
Cherry-picked from PR #9177 by @haileymarshall.

Adds a fitness and nutrition skill for gym-goers and health-conscious users:
- Exercise search via wger API (690+ exercises, free, no auth)
- Nutrition lookup via USDA FoodData Central (380K+ foods, DEMO_KEY fallback)
- Offline body composition calculators (BMI, TDEE, 1RM, macros, body fat %)
- Pure stdlib Python, no pip dependencies

Changes from original PR:
- Moved from skills/ to optional-skills/health/ (correct location)
- Fixed BMR formula in FORMULAS.md (removed confusing -5+10, now just +5)
- Fixed author attribution to match PR submitter
- Marked USDA_API_KEY as optional (DEMO_KEY works without signup)

Also adds optional env var support to the skill readiness checker:
- New 'optional: true' field in required_environment_variables entries
- Optional vars are preserved in metadata but don't block skill readiness
- Optional vars skip the CLI capture prompt flow
- Skills with only optional missing vars show as 'available' not 'setup_needed'
2026-04-13 22:10:00 -07:00
Teknium 62fb6b2cd8 fix: guard zero context length display + add 19 tests for model info
- ModelInfoCard: hide card when effective_context_length <= 0 instead
  of showing 'Context Window: 0 auto-detected'
- Add tests for _normalize_config_for_web model_context_length extraction
- Add tests for _denormalize_config_from_web round-trip (write back,
  remove on zero, upgrade bare string to dict, coerce string input)
- Add tests for CONFIG_SCHEMA ordering (model_context_length after model)
- Add tests for GET /api/model/info endpoint (dict config, bare string,
  empty model, capabilities, graceful error handling)
2026-04-13 22:04:35 -07:00
kshitijk4poor 8fd3093f49 feat(web): add context window support to dashboard config
- Add GET /api/model/info endpoint that resolves model metadata using the
  same 10-step context-length detection chain the agent uses. Returns
  auto-detected context length, config override, effective value, and
  model capabilities (tools, vision, reasoning, max output, model family).

- Surface model.context_length as model_context_length virtual field in
  the config normalize/denormalize cycle. 0 = auto-detect (default),
  positive value overrides. Writing 0 removes context_length from the
  model dict on disk.

- Add ModelInfoCard component showing resolved context window (e.g. '1M
  auto-detected' or '500K override — auto: 1M'), max output tokens, and
  colored capability badges (Tools, Vision, Reasoning, model family).

- Inject ModelInfoCard between model field and context_length override in
  ConfigPage General tab. Card re-fetches on model change and after save.

- Insert model_context_length right after model in CONFIG_SCHEMA ordering
  so the three elements (model input → info card → override) are adjacent.
2026-04-13 22:04:35 -07:00
Gianfranco Piana eabc0a2f66 feat(plugins): let pre_tool_call hooks block tool execution
Plugins can now return {"action": "block", "message": "reason"} from
their pre_tool_call hook to prevent a tool from executing. The error
message is returned to the model as a tool result so it can adjust.

Covers both execution paths: handle_function_call (model_tools.py) and
agent-level tools (run_agent.py _invoke_tool + sequential/concurrent).
Blocked tools skip all side effects (counter resets, checkpoints,
callbacks, read-loop tracker).

Adds skip_pre_tool_call_hook flag to avoid double-firing the hook when
run_agent.py already checked and then calls handle_function_call.

Salvaged from PR #5385 (gianfrancopiana) and PR #4610 (oredsecurity).
2026-04-13 22:01:49 -07:00
Austin Pickett ea74f61d98 Merge pull request #9370 from NousResearch/fix/dashboard-routing
feat: react-router, sidebar layout, sticky header, dropdown component…
2026-04-13 21:23:48 -07:00
Teknium 943c01536f feat: add openrouter/elephant-alpha to curated model lists (#9378)
* Add hermes debug share instructions to all issue templates

- bug_report.yml: Add required Debug Report section with hermes debug share
  and /debug instructions, make OS/Python/Hermes version optional (covered
  by debug report), demote old logs field to optional supplementary
- setup_help.yml: Replace hermes doctor reference with hermes debug share,
  add Debug Report section with fallback chain (debug share -> --local -> doctor)
- feature_request.yml: Add optional Debug Report section for environment context

All templates now guide users to run hermes debug share (or /debug in chat)
and paste the resulting paste.rs links, giving maintainers system info,
config, and recent logs in one step.

* feat: add openrouter/elephant-alpha to curated model lists

- Add to OPENROUTER_MODELS (free, positioned above GPT models)
- Add to _PROVIDER_MODELS["nous"] mirror list
- Add 256K context window fallback in model_metadata.py
2026-04-13 21:16:14 -07:00
Teknium dd86deef13 feat(ci): add contributor attribution check on PRs (#9376)
Adds a CI workflow that blocks PRs introducing commits with
unmapped author emails. Checks each new commit's author email
against AUTHOR_MAP in scripts/release.py — GitHub noreply emails
auto-pass, but personal/work emails must be mapped.

Also adds --strict and --diff-base flags to contributor_audit.py
for programmatic use. --strict exits 1 when new unmapped emails
are found; --diff-base scopes the check to only flag emails from
commits after a given ref (grandfathers existing unknowns).

Prevention for the 97-unmapped-email gap found in the April 2026
contributor audit.
2026-04-13 21:13:08 -07:00
Teknium 5719c1f391 fix: add 75 contributor email→username mappings + .mailmap (#9358)
Audit of all external contributor PRs revealed 97 commit emails
not mapped in AUTHOR_MAP, meaning contributors weren't properly
credited in release notes. Cross-referenced via:
- GitHub API email search (9 resolved before rate limit)
- Salvage PR body mentions (@username in descriptions)
- Git noreply email cross-reference (same person, both emails)
- GH contributor list username matching

Also adds .mailmap for git shortlog/log display consistency.

Remaining 22 unmapped emails need GH API resolution when rate
limit resets — the contributor_audit.py script will flag them.

Addresses ColourfulWhite's report about missing contributor tags.
2026-04-13 21:10:39 -07:00
Austin Pickett bc3844c907 feat: react-router, sidebar layout, sticky header, dropdown component, remove emojis, rounded corners 2026-04-14 00:01:18 -04:00
Teknium 5621fc449a chore: rename AI Gateway → Vercel AI Gateway, move Xiaomi to #5 (#9326)
- Rename 'AI Gateway' to 'Vercel AI Gateway' across auth, models,
  doctor, setup, and tests.
- Move Xiaomi MiMo to position #5 in the provider picker.
2026-04-13 19:51:54 -07:00
Teknium 0cc7f79016 fix(streaming): prevent duplicate Telegram replies when stream task is cancelled (#9319)
When the 5-second stream_task timeout in gateway/run.py expires (due to
slow Telegram API calls from rate limiting after several messages), the
stream consumer is cancelled via asyncio.CancelledError. The
CancelledError handler did a best-effort final edit but never set
final_response_sent, so the gateway fell through to the normal send path
and delivered the full response again as a reply — causing a duplicate.

The fix: in the CancelledError handler, set final_response_sent = True
when already_sent is True (i.e., the stream consumer had already
delivered content to the user). This tells the gateway's already_sent
check that the response was delivered, preventing the duplicate send.

Adds two tests verifying the cancellation behavior:
- Cancelled with already_sent=True → final_response_sent=True (no dup)
- Cancelled with already_sent=False → final_response_sent=False (normal
  send path proceeds)

Reported by community user hume on Discord.
2026-04-13 19:22:43 -07:00
Teknium d15efc9c1b fix: correct GPT-5 family context lengths in fallback defaults (#9309)
The generic 'gpt-5' fallback was set to 128,000 — which is the max
OUTPUT tokens, not the context window. GPT-5 base and most variants
(codex, mini) have 400,000 context. This caused /model to report
128k for models like gpt-5.3-codex when models.dev was unavailable.

Added specific entries for GPT-5 variants with different context sizes:
- gpt-5.4, gpt-5.4-pro: 1,050,000 (1.05M)
- gpt-5.4-mini, gpt-5.4-nano: 400,000
- gpt-5.3-codex-spark: 128,000 (reduced)
- gpt-5.1-chat: 128,000 (chat variant)
- gpt-5 (catch-all): 400,000

Sources: https://developers.openai.com/api/docs/models
2026-04-13 19:22:23 -07:00
Teknium f6626fccee refactor: remove provider tier system — flat picker in hermes model (#9303)
Remove the two-tier (top/extended) provider picker that hid most
providers behind a 'More providers...' submenu. All providers now
appear in a single flat list.

- Remove tier field from ProviderEntry namedtuple
- Remove tier values from all CANONICAL_PROVIDERS entries
- Flatten the hermes model picker (no more 'More...' submenu)
- Move 'Custom endpoint' to the bottom of the main list
2026-04-13 18:51:13 -07:00
Teknium f324222b79 fix: add vLLM/local server error patterns + MCP initial connection retry (#9281)
Port two improvements inspired by Kilo-Org/kilocode analysis:

1. Error classifier: add context overflow patterns for vLLM, Ollama,
   and llama.cpp/llama-server. These local inference servers return
   different error formats than cloud providers (e.g., 'exceeds the
   max_model_len', 'context length exceeded', 'slot context'). Without
   these patterns, context overflow errors from local servers are
   misclassified as format errors, causing infinite retries instead
   of triggering compression.

2. MCP initial connection retry: previously, if the very first
   connection attempt to an MCP server failed (e.g., transient DNS
   blip at startup), the server was permanently marked as failed with
   no retry. Post-connect reconnection had 5 retries with exponential
   backoff, but initial connection had zero. Now initial connections
   retry up to 3 times with backoff before giving up, matching the
   resilience of post-connect reconnection.
   (Inspired by Kilo Code's MCP server disappearing fix in v1.3.3)

Tests: 6 new error classifier tests, 4 new MCP retry tests, 1
updated existing test. All 276 affected tests pass.
2026-04-13 18:46:14 -07:00
arthurbr11 0a4cf5b3e1 feat(providers): add Arcee AI as direct API provider
Adds Arcee AI as a standard direct provider (ARCEEAI_API_KEY) with
Trinity models: trinity-large-thinking, trinity-large-preview, trinity-mini.

Standard OpenAI-compatible provider checklist: auth.py, config.py,
models.py, main.py, providers.py, doctor.py, model_normalize.py,
model_metadata.py, setup.py, trajectory_compressor.py.

Based on PR #9274 by arthurbr11, simplified to a standard direct
provider without dual-endpoint OpenRouter routing.
2026-04-13 18:40:06 -07:00
Agent 78fa758451 feat(web): make Web UI responsive for mobile
- Nav: icons only on mobile, icon+label on sm+
- Brand: abbreviated "H A" on mobile, full "Hermes Agent" on sm+
- Content: reduced padding on mobile (px-3 vs px-6)
- StatusPage: session cards stack vertically on mobile, truncate
  overflow text, strip model namespace for brevity
- ConfigPage: sidebar becomes horizontal scrollable pills on mobile
  instead of fixed left column, search hidden on mobile
- SessionsPage: title + search stack vertically on mobile, search
  goes full-width
- Card component: add overflow-hidden to prevent content bleed
- Body/root: add overflow-x-hidden to prevent horizontal scroll
- Footer: reduced font sizes on mobile

All changes use Tailwind responsive breakpoints (sm: prefix).
No logic changes — purely layout/CSS adjustments.
2026-04-13 17:16:28 -07:00
Teknium ac80bd61ad test: add regression tests for custom_providers multi-model dedup and grouping
Tests for salvaged PRs #9233 and #8011.
2026-04-13 16:41:30 -07:00
Ubuntu ec9bf9e378 feat(model-picker): group custom_providers by name into a single row per provider
The /model picker currently renders one row per ``custom_providers``
entry. When several entries share the same provider name (e.g. four
``ollama-cloud`` entries for ``qwen3-coder``, ``glm-5.1``, ``kimi-k2``,
``minimax-m2.7``), users see four separate "Ollama Cloud" rows in the
picker, which is confusing UX — there is only one Ollama Cloud
provider, so there should be one row containing four models.

This PR groups ``custom_providers`` entries that share the same provider
name into a single picker row while keeping entries with distinct names
as separate rows. So:

* Four entries named ``Ollama Cloud`` → one "Ollama Cloud" row with
  four models inside.
* One entry named ``Ollama Cloud`` and one named ``Moonshot`` → two
  separate rows, one model each.

Implementation
--------------
Replaces the single-pass loop in ``list_authenticated_providers()`` with
a two-pass approach:

1. First pass: build an ``OrderedDict`` keyed by ``custom_provider_slug(name)``,
   accumulating ``models`` per group while preserving discovery order.
2. Second pass: iterate the groups and append one result row per group,
   skipping any slug that already appeared in an earlier provider source
   (the existing ``seen_slugs`` guard).

Insertion order is preserved via ``OrderedDict``, so providers and
their models still appear in the order the user listed them in
``custom_providers``. No new dependencies.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 16:41:30 -07:00
akhater 01f71007d0 fix(config): include model field in custom_providers dedup key
get_compatible_custom_providers() deduplicates by (name, base_url) which
collapses multiple models under the same provider into a single entry.
For example, 7 Ollama Cloud entries with different models become 1.
Adding model to the tuple preserves all entries.
2026-04-13 16:41:30 -07:00
Teknium 32cea0c08d fix: dashboard shows Nous Portal as 'not connected' despite active auth (#9261)
The dashboard device-code flow (_nous_poller in web_server.py) saved
credentials to the credential pool only, while get_nous_auth_status()
only checked the auth store (auth.json). This caused the Keys tab to
show 'not connected' even when the backend was fully authenticated.

Two fixes:
1. get_nous_auth_status() now checks the credential pool first (like
   get_codex_auth_status() already does), then falls back to the auth
   store.
2. _nous_poller now also persists to the auth store after saving to
   the credential pool, matching the CLI flow (_login_nous).

Adds 3 tests covering pool-only, auth-store-fallback, and empty-state
scenarios.
2026-04-13 16:32:11 -07:00
Teknium 8d023e43ed refactor: remove dead code — 1,784 lines across 77 files (#9180)
Deep scan with vulture, pyflakes, and manual cross-referencing identified:
- 41 dead functions/methods (zero callers in production)
- 7 production-dead functions (only test callers, tests deleted)
- 5 dead constants/variables
- ~35 unused imports across agent/, hermes_cli/, tools/, gateway/

Categories of dead code removed:
- Refactoring leftovers: _set_default_model, _setup_copilot_reasoning_selection,
  rebuild_lookups, clear_session_context, get_logs_dir, clear_session
- Unused API surface: search_models_dev, get_pricing, skills_categories,
  get_read_files_summary, clear_read_tracker, menu_labels, get_spinner_list
- Dead compatibility wrappers: schedule_cronjob, list_cronjobs, remove_cronjob
- Stale debug helpers: get_debug_session_info copies in 4 tool files
  (centralized version in debug_helpers.py already exists)
- Dead gateway methods: send_emote, send_notice (matrix), send_reaction
  (bluebubbles), _normalize_inbound_text (feishu), fetch_room_history
  (matrix), _start_typing_indicator (signal), parse_feishu_post_content
- Dead constants: NOUS_API_BASE_URL, SKILLS_TOOL_DESCRIPTION,
  FILE_TOOLS, VALID_ASPECT_RATIOS, MEMORY_DIR
- Unused UI code: _interactive_provider_selection,
  _interactive_model_selection (superseded by prompt_toolkit picker)

Test suite verified: 609 tests covering affected files all pass.
Tests for removed functions deleted. Tests using removed utilities
(clear_read_tracker, MEMORY_DIR) updated to use internal APIs directly.
2026-04-13 16:32:04 -07:00
Teknium a66fc1365d fix: add files:read to SLACK_BOT_TOKEN description in config.py
Missed in the original PR — the env var description also lists required scopes.
2026-04-13 16:31:38 -07:00
helix4u 448b8bfb7c docs: add slack files:read scope 2026-04-13 16:31:38 -07:00
Teknium def8b959b8 fix: add contributor audit script + fix missed contributors (#9264)
Three problems fixed:

1. bobashopcashier missing from v0.9.0 contributor list despite
   authoring the gateway drain PR (#7290, salvaged into #7503).
   Their email (kennyx102@gmail.com) was missing from AUTHOR_MAP.

2. release.py only scanned git commit authors, missing Co-authored-by
   trailers. Now parse_coauthors() extracts trailers from commit bodies.

3. No mechanism to detect contributors from salvaged PRs (where original
   author only appears in PR description, not git log).

Changes:
- scripts/release.py: add kennyx102@gmail.com to AUTHOR_MAP, enhance
  get_commits() to parse Co-authored-by trailers, filter AI assistants
  (Claude, Copilot, Cursor Agent) from co-author lists
- scripts/contributor_audit.py: new script that cross-references git
  authors, co-author trailers, and salvaged PR descriptions. Reports
  unknown emails and contributors missing from release notes.
- RELEASE_v0.9.0.md: add bobashopcashier to community contributors

Usage:
  python scripts/contributor_audit.py --since-tag v2026.4.8
  python scripts/contributor_audit.py --since-tag v2026.4.8 --release-file RELEASE_v0.9.0.md
2026-04-13 16:31:27 -07:00
helix4u f94f53cc22 fix(matrix): disable streaming cursor decoration on Matrix 2026-04-13 16:31:02 -07:00
helix4u 0ffb6f2dae fix(matrix): skip cursor-only stream placeholder messages 2026-04-13 16:31:02 -07:00
Teknium b27eaaa4db fix: improve ACP type check and restore comment accuracy
- Use isinstance() with try/except import for CopilotACPClient check
  in _to_async_client instead of fragile __class__.__name__ string check
- Restore accurate comment: GPT-5.x models *require* (not 'often require')
  the Responses API on OpenAI/OpenRouter; ACP is the exception, not a
  softening of the requirement
- Add inline comment explaining the ACP exclusion rationale
2026-04-13 16:17:43 -07:00
helix4u 8680f61f8b fix(copilot-acp): keep acp runtime off responses path 2026-04-13 16:17:43 -07:00
Teknium 063244bb16 test: add coverage for plugin context engine init (#9071)
Verify that plugin context engines receive update_model() with correct
context_length during AIAgent init — regression test for the ctx -- bug.
2026-04-13 15:00:57 -07:00
Stephen Schoettler c763ed5801 fix(agent): resolve context_length for plugin context engines
Plugin context engines loaded via load_context_engine() were never
given context_length, causing the CLI status bar to show "ctx --"
with an empty progress bar. Call update_model() immediately after
loading the plugin engine, mirroring what switch_model() already does.

Fixes NousResearch/hermes-agent#9071

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-13 15:00:57 -07:00
Teknium 204e9190c4 fix: consolidate provider lists into single CANONICAL_PROVIDERS source of truth (#9237)
Three separate hardcoded provider lists (/model, /provider, hermes model)
diverged over time, causing providers to be missing from some commands.

- Create CANONICAL_PROVIDERS in hermes_cli/models.py as the single source
  of truth for all provider identity, labels, and TUI ordering
- Derive _PROVIDER_LABELS and list_available_providers() from canonical list
- Add step 2b in list_authenticated_providers() to cross-check canonical
  list — catches providers with credentials that weren't found via
  PROVIDER_TO_MODELS_DEV or HERMES_OVERLAYS mappings
- Derive hermes model TUI provider menus from canonical list
- Add deepseek and xai as first-class providers (were missing from TUI)
- Add grok/x-ai/x.ai aliases for xai provider

Fixes: /model command not showing all providers that hermes model shows
2026-04-13 14:59:50 -07:00
Teknium 952a885fbf fix(gateway): /stop no longer resets the session (#9224)
/stop was calling suspend_session() which marked the session for auto-reset
on the next message. This meant users lost their conversation history every
time they stopped a running agent — especially painful for untitled sessions
that can't be resumed by name.

Now /stop just interrupts the agent and cleans the session lock. The session
stays intact so users can continue the conversation.

The suspend behavior was introduced in #7536 to break stuck session resume
loops on gateway restart. That case is already handled by
suspend_recently_active() which runs at gateway startup, so removing it from
/stop doesn't regress the original fix.
2026-04-13 14:59:05 -07:00
SHL0MS d5fd74cac2 fix(ci): don't fail supply chain scan when PR comment can't be posted on fork PRs (#6681)
The GITHUB_TOKEN for fork PRs is read-only — gh pr comment fails with
'Resource not accessible by integration'. This caused the supply chain
scan to show a red X on every fork PR even when no findings were detected.

The scan itself still runs and the 'Fail on critical findings' step
still exits 1 on real issues. Only the comment posting is gracefully
skipped for fork PRs.

Closes #6679

Co-authored-by: SHL0MS <SHL0MS@users.noreply.github.com>
2026-04-13 13:58:59 -07:00
Teknium a6f07a6c37 docs: fix hermes web → hermes dashboard in web-dashboard.md (#9207)
The actual CLI command is 'hermes dashboard', not 'hermes web'.
cli-commands.md already had the correct name.
2026-04-13 13:26:21 -07:00
Sabin Iacob a27b3c8725 add git to the container installed packages (fixes #8439) 2026-04-13 13:08:19 -07:00
303 changed files with 22273 additions and 4385 deletions
+12
View File
@@ -45,6 +45,14 @@
# KIMI_BASE_URL=https://api.moonshot.cn/v1 # For Moonshot China keys
# KIMI_CN_API_KEY= # Dedicated Moonshot China key
# =============================================================================
# LLM PROVIDER (Arcee AI)
# =============================================================================
# Arcee AI provides access to Trinity models (trinity-mini, trinity-large-*)
# Get an Arcee key at: https://chat.arcee.ai/
# ARCEEAI_API_KEY=
# ARCEE_BASE_URL= # Override default base URL
# =============================================================================
# LLM PROVIDER (MiniMax)
# =============================================================================
@@ -137,6 +145,10 @@
# Only override here if you need to force a backend without touching config.yaml:
# TERMINAL_ENV=local
# Override the container runtime binary (e.g. to use Podman instead of Docker).
# Useful on systems where Docker's storage driver is broken or unavailable.
# HERMES_DOCKER_BINARY=/usr/local/bin/podman
# Container images (for singularity/docker/modal backends)
# TERMINAL_DOCKER_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
# TERMINAL_SINGULARITY_IMAGE=docker://nikolaik/python-nodejs:python3.11-nodejs20
+24 -6
View File
@@ -11,6 +11,7 @@ body:
**Before submitting**, please:
- [ ] Search [existing issues](https://github.com/NousResearch/hermes-agent/issues) to avoid duplicates
- [ ] Update to the latest version (`hermes update`) and confirm the bug still exists
- [ ] Run `hermes debug share` and paste the links below (see Debug Report section)
- type: textarea
id: description
@@ -82,6 +83,25 @@ body:
- Slack
- WhatsApp
- type: textarea
id: debug-report
attributes:
label: Debug Report
description: |
Run `hermes debug share` from your terminal and paste the links it prints here.
This uploads your system info, config, and recent logs to a paste service automatically.
If you're in an interactive chat session, you can also use the `/debug` slash command — it does the same thing.
If the upload fails, run `hermes debug share --local` and paste the output directly.
placeholder: |
Report https://paste.rs/abc123
agent.log https://paste.rs/def456
gateway.log https://paste.rs/ghi789
render: shell
validations:
required: true
- type: input
id: os
attributes:
@@ -97,8 +117,6 @@ body:
label: Python Version
description: Output of `python --version`
placeholder: "3.11.9"
validations:
required: true
- type: input
id: hermes-version
@@ -106,14 +124,14 @@ body:
label: Hermes Version
description: Output of `hermes version`
placeholder: "2.1.0"
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant Logs / Traceback
description: Paste any error output, traceback, or log messages. This will be auto-formatted as code.
label: Additional Logs / Traceback (optional)
description: |
The debug report above covers most logs. Use this field for any extra error output,
tracebacks, or screenshots not captured by `hermes debug share`.
render: shell
- type: textarea
@@ -71,3 +71,15 @@ body:
label: Contribution
options:
- label: I'd like to implement this myself and submit a PR
- type: textarea
id: debug-report
attributes:
label: Debug Report (optional)
description: |
If this feature request is related to a problem you're experiencing, run `hermes debug share` and paste the links here.
In an interactive chat session, you can use `/debug` instead.
This helps us understand your environment and any related logs.
placeholder: |
Report https://paste.rs/abc123
render: shell
+16 -4
View File
@@ -9,7 +9,8 @@ body:
Sorry you're having trouble! Please fill out the details below so we can help.
**Quick checks first:**
- Run `hermes doctor` and include the output below
- Run `hermes debug share` and paste the links in the Debug Report section below
- If you're in a chat session, you can use `/debug` instead — it does the same thing
- Try `hermes update` to get the latest version
- Check the [README troubleshooting section](https://github.com/NousResearch/hermes-agent#troubleshooting)
- For general questions, consider the [Nous Research Discord](https://discord.gg/NousResearch) for faster help
@@ -74,10 +75,21 @@ body:
placeholder: "2.1.0"
- type: textarea
id: doctor-output
id: debug-report
attributes:
label: Output of `hermes doctor`
description: Run `hermes doctor` and paste the full output. This will be auto-formatted.
label: Debug Report
description: |
Run `hermes debug share` from your terminal and paste the links it prints here.
This uploads your system info, config, and recent logs to a paste service automatically.
If you're in an interactive chat session, you can also use the `/debug` slash command — it does the same thing.
If the upload fails or install didn't get that far, run `hermes debug share --local` and paste the output directly.
If even that doesn't work, run `hermes doctor` and paste that output instead.
placeholder: |
Report https://paste.rs/abc123
agent.log https://paste.rs/def456
gateway.log https://paste.rs/ghi789
render: shell
- type: textarea
+73
View File
@@ -0,0 +1,73 @@
name: Contributor Attribution Check
on:
pull_request:
branches: [main]
paths:
# Only run when code files change (not docs-only PRs)
- '*.py'
- '**/*.py'
- '.github/workflows/contributor-check.yml'
permissions:
contents: read
jobs:
check-attribution:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
fetch-depth: 0 # Full history needed for git log
- name: Check for unmapped contributor emails
run: |
# Get the merge base between this PR and main
MERGE_BASE=$(git merge-base origin/main HEAD)
# Find any new author emails in this PR's commits
NEW_EMAILS=$(git log ${MERGE_BASE}..HEAD --format='%ae' --no-merges | sort -u)
if [ -z "$NEW_EMAILS" ]; then
echo "No new commits to check."
exit 0
fi
# Check each email against AUTHOR_MAP in release.py
MISSING=""
while IFS= read -r email; do
# Skip teknium and bot emails
case "$email" in
*teknium*|*noreply@github.com*|*dependabot*|*github-actions*|*anthropic.com*|*cursor.com*)
continue ;;
esac
# Check if email is in AUTHOR_MAP (either as a key or matches noreply pattern)
if echo "$email" | grep -qP '\+.*@users\.noreply\.github\.com'; then
continue # GitHub noreply emails auto-resolve
fi
if ! grep -qF "\"${email}\"" scripts/release.py 2>/dev/null; then
AUTHOR=$(git log --author="$email" --format='%an' -1)
MISSING="${MISSING}\n ${email} (${AUTHOR})"
fi
done <<< "$NEW_EMAILS"
if [ -n "$MISSING" ]; then
echo ""
echo "⚠️ New contributor email(s) not in AUTHOR_MAP:"
echo -e "$MISSING"
echo ""
echo "Please add mappings to scripts/release.py AUTHOR_MAP:"
echo -e "$MISSING" | while read -r line; do
email=$(echo "$line" | sed 's/^ *//' | cut -d' ' -f1)
[ -z "$email" ] && continue
echo " \"${email}\": \"<github-username>\","
done
echo ""
echo "To find the GitHub username for an email:"
echo " gh api 'search/users?q=EMAIL+in:email' --jq '.items[0].login'"
exit 1
else
echo "✅ All contributor emails are mapped in AUTHOR_MAP."
fi
+6 -6
View File
@@ -28,20 +28,20 @@ jobs:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/setup-node@v4
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 20
cache: npm
cache-dependency-path: website/package-lock.json
- uses: actions/setup-python@v5
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install PyYAML for skill extraction
run: pip install pyyaml httpx
run: pip install pyyaml==6.0.2 httpx==0.28.1
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
@@ -73,10 +73,10 @@ jobs:
echo "hermes-agent.nousresearch.com" > _site/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3
with:
path: _site
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@v4
uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4
+7 -7
View File
@@ -23,21 +23,21 @@ jobs:
timeout-minutes: 60
steps:
- name: Checkout code
uses: actions/checkout@v4
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
submodules: recursive
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
uses: docker/setup-qemu-action@c7c53464625b32c7a7e944ae62b3e17d2b600130 # v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
# Build amd64 only so we can `load` the image for smoke testing.
# `load: true` cannot export a multi-arch manifest to the local daemon.
# The multi-arch build follows on push to main / release.
- name: Build image (amd64, smoke test)
uses: docker/build-push-action@v6
uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
with:
context: .
file: Dockerfile
@@ -56,14 +56,14 @@ jobs:
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/login-action@v3
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Push multi-arch image (main branch)
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/build-push-action@v6
uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
with:
context: .
file: Dockerfile
@@ -75,7 +75,7 @@ jobs:
- name: Push multi-arch image (release)
if: github.event_name == 'release'
uses: docker/build-push-action@v6
uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
with:
context: .
file: Dockerfile
+6 -3
View File
@@ -7,13 +7,16 @@ on:
- '.github/workflows/docs-site-checks.yml'
workflow_dispatch:
permissions:
contents: read
jobs:
docs-site-checks:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/setup-node@v4
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 20
cache: npm
@@ -23,7 +26,7 @@ jobs:
run: npm ci
working-directory: website
- uses: actions/setup-python@v5
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
+4 -1
View File
@@ -14,6 +14,9 @@ on:
- 'run_agent.py'
- 'acp_adapter/**'
permissions:
contents: read
concurrency:
group: nix-${{ github.ref }}
cancel-in-progress: true
@@ -26,7 +29,7 @@ jobs:
runs-on: ${{ matrix.os }}
timeout-minutes: 30
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: DeterminateSystems/nix-installer-action@ef8a148080ab6020fd15196c2084a2eea5ff2d25 # v22
- uses: DeterminateSystems/magic-nix-cache-action@565684385bcd71bad329742eefe8d12f2e765b39 # v13
- name: Check flake
+11 -11
View File
@@ -20,14 +20,14 @@ jobs:
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/setup-python@v5
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install dependencies
run: pip install httpx pyyaml
run: pip install httpx==0.28.1 pyyaml==6.0.2
- name: Build skills index
env:
@@ -35,7 +35,7 @@ jobs:
run: python scripts/build_skills_index.py
- name: Upload index artifact
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: skills-index
path: website/static/api/skills-index.json
@@ -53,25 +53,25 @@ jobs:
# Only deploy on schedule or manual trigger (not on every push to the script)
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
name: skills-index
path: website/static/api/
- uses: actions/setup-node@v4
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 20
cache: npm
cache-dependency-path: website/package-lock.json
- uses: actions/setup-python@v5
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install PyYAML for skill extraction
run: pip install pyyaml
run: pip install pyyaml==6.0.2
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
@@ -92,10 +92,10 @@ jobs:
echo "hermes-agent.nousresearch.com" > _site/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3
with:
path: _site
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@v4
uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4
+58 -2
View File
@@ -14,7 +14,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
fetch-depth: 0
@@ -149,6 +149,62 @@ jobs:
"
fi
# --- CI/CD workflow files modified ---
WORKFLOW_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '\.github/workflows/.*\.ya?ml$' || true)
if [ -n "$WORKFLOW_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: CI/CD workflow files modified
Changes to workflow files can alter build pipelines, inject steps, or modify permissions. Verify no unauthorized actions or secrets access were added.
**Files:**
\`\`\`
${WORKFLOW_HITS}
\`\`\`
"
fi
# --- Dockerfile / container build files modified ---
DOCKER_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -iE '(Dockerfile|\.dockerignore|docker-compose)' || true)
if [ -n "$DOCKER_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Container build files modified
Changes to Dockerfiles or compose files can alter base images, add build steps, or expose ports. Verify base image pins and build commands.
**Files:**
\`\`\`
${DOCKER_HITS}
\`\`\`
"
fi
# --- Dependency manifest files modified ---
DEP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(pyproject\.toml|requirements.*\.txt|package\.json|Gemfile|go\.mod|Cargo\.toml)$' || true)
if [ -n "$DEP_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Dependency manifest files modified
Changes to dependency files can introduce new packages or change version pins. Verify all dependency changes are intentional and from trusted sources.
**Files:**
\`\`\`
${DEP_HITS}
\`\`\`
"
fi
# --- GitHub Actions version unpinning (mutable tags instead of SHAs) ---
ACTIONS_UNPIN=$(echo "$DIFF" | grep -n '^\+' | grep 'uses:' | grep -v '#' | grep -E '@v[0-9]' | head -10 || true)
if [ -n "$ACTIONS_UNPIN" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: GitHub Actions with mutable version tags
Actions should be pinned to full commit SHAs (not \`@v4\`, \`@v5\`). Mutable tags can be retargeted silently if a maintainer account is compromised.
**Matches:**
\`\`\`
${ACTIONS_UNPIN}
\`\`\`
"
fi
# --- Output results ---
if [ -n "$FINDINGS" ]; then
echo "found=true" >> "$GITHUB_OUTPUT"
@@ -183,7 +239,7 @@ jobs:
---
*Automated scan triggered by [supply-chain-audit](/.github/workflows/supply-chain-audit.yml). If this is a false positive, a maintainer can approve after manual review.*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY" || echo "::warning::Could not post PR comment (expected for fork PRs — GITHUB_TOKEN is read-only)"
- name: Fail on critical findings
if: steps.scan.outputs.critical == 'true'
+7 -4
View File
@@ -6,6 +6,9 @@ on:
pull_request:
branches: [main]
permissions:
contents: read
# Cancel in-progress runs for the same PR/branch
concurrency:
group: tests-${{ github.ref }}
@@ -17,13 +20,13 @@ jobs:
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@v4
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- name: Install system dependencies
run: sudo apt-get update && sudo apt-get install -y ripgrep
- name: Install uv
uses: astral-sh/setup-uv@v5
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
- name: Set up Python 3.11
run: uv python install 3.11
@@ -49,10 +52,10 @@ jobs:
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@v4
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- name: Install uv
uses: astral-sh/setup-uv@v5
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
- name: Set up Python 3.11
run: uv python install 3.11
+107
View File
@@ -0,0 +1,107 @@
# .mailmap — canonical author mapping for git shortlog / git log / GitHub
# Format: Canonical Name <canonical@email> <commit@email>
# See: https://git-scm.com/docs/gitmailmap
#
# This maps commit emails to GitHub noreply addresses so that:
# 1. `git shortlog -sn` shows deduplicated contributor counts
# 2. GitHub's contributor graph can attribute commits correctly
# 3. Contributors with personal/work emails get proper credit
#
# When adding entries: use the contributor's GitHub noreply email as canonical
# so GitHub can link commits to their profile.
# === Teknium (multiple emails) ===
Teknium <127238744+teknium1@users.noreply.github.com> <teknium1@gmail.com>
Teknium <127238744+teknium1@users.noreply.github.com> <teknium@nousresearch.com>
# === Contributors — personal/work emails mapped to GitHub noreply ===
# Format: Canonical Name <GH-noreply> <commit-email>
# Verified via GH API email search
luyao618 <364939526@qq.com> <364939526@qq.com>
ethernet8023 <arilotter@gmail.com> <arilotter@gmail.com>
nicoloboschi <boschi1997@gmail.com> <boschi1997@gmail.com>
cherifya <chef.ya@gmail.com> <chef.ya@gmail.com>
BongSuCHOI <chlqhdtn98@gmail.com> <chlqhdtn98@gmail.com>
dsocolobsky <dsocolobsky@gmail.com> <dsocolobsky@gmail.com>
pefontana <fontana.pedro93@gmail.com> <fontana.pedro93@gmail.com>
Helmi <frank@helmschrott.de> <frank@helmschrott.de>
hata1234 <hata1234@gmail.com> <hata1234@gmail.com>
# Verified via PR investigation / salvage PR bodies
DeployFaith <agents@kylefrench.dev> <agents@kylefrench.dev>
flobo3 <floptopbot33@gmail.com> <floptopbot33@gmail.com>
gaixianggeng <gaixg94@gmail.com> <gaixg94@gmail.com>
KUSH42 <xush@xush.org> <xush@xush.org>
konsisumer <der@konsi.org> <der@konsi.org>
WorldInnovationsDepartment <vorvul.danylo@gmail.com> <vorvul.danylo@gmail.com>
m0n5t3r <iacobs@m0n5t3r.info> <iacobs@m0n5t3r.info>
sprmn24 <oncuevtv@gmail.com> <oncuevtv@gmail.com>
fancydirty <fancydirty@gmail.com> <fancydirty@gmail.com>
fxfitz <francis.x.fitzpatrick@gmail.com> <francis.x.fitzpatrick@gmail.com>
limars874 <limars874@gmail.com> <limars874@gmail.com>
AaronWong1999 <aaronwong1999@icloud.com> <aaronwong1999@icloud.com>
dippwho <dipp.who@gmail.com> <dipp.who@gmail.com>
duerzy <duerzy@gmail.com> <duerzy@gmail.com>
geoffwellman <geoff.wellman@gmail.com> <geoff.wellman@gmail.com>
hcshen0111 <shenhaocheng19990111@gmail.com> <shenhaocheng19990111@gmail.com>
jamesarch <han.shan@live.cn> <han.shan@live.cn>
stephenschoettler <stephenschoettler@gmail.com> <stephenschoettler@gmail.com>
Tranquil-Flow <tranquil_flow@protonmail.com> <tranquil_flow@protonmail.com>
Dusk1e <yusufalweshdemir@gmail.com> <yusufalweshdemir@gmail.com>
Awsh1 <ysfalweshcan@gmail.com> <ysfalweshcan@gmail.com>
WAXLYY <ysfwaxlycan@gmail.com> <ysfwaxlycan@gmail.com>
donrhmexe <don.rhm@gmail.com> <don.rhm@gmail.com>
hqhq1025 <1506751656@qq.com> <1506751656@qq.com>
BlackishGreen33 <s5460703@gmail.com> <s5460703@gmail.com>
tomqiaozc <zqiao@microsoft.com> <zqiao@microsoft.com>
MagicRay1217 <mingjwan@microsoft.com> <mingjwan@microsoft.com>
aaronagent <1115117931@qq.com> <1115117931@qq.com>
YoungYang963 <young@YoungdeMacBook-Pro.local> <young@YoungdeMacBook-Pro.local>
LongOddCode <haolong@microsoft.com> <haolong@microsoft.com>
Cafexss <coffeemjj@gmail.com> <coffeemjj@gmail.com>
Cygra <sjtuwbh@gmail.com> <sjtuwbh@gmail.com>
DomGrieco <dgrieco@redhat.com> <dgrieco@redhat.com>
# Duplicate email mapping (same person, multiple emails)
Sertug17 <104278804+Sertug17@users.noreply.github.com> <srhtsrht17@gmail.com>
yyovil <birdiegyal@gmail.com> <tanishq231003@gmail.com>
DomGrieco <dgrieco@redhat.com> <dgrieco@redhat.com>
dsocolobsky <dsocolobsky@gmail.com> <dylan.socolobsky@lambdaclass.com>
olafthiele <programming@olafthiele.com> <olafthiele@gmail.com>
# Verified via git display name matching GH contributor username
cokemine <aptx4561@gmail.com> <aptx4561@gmail.com>
dalianmao000 <dalianmao0107@gmail.com> <dalianmao0107@gmail.com>
emozilla <emozilla@nousresearch.com> <emozilla@nousresearch.com>
jjovalle99 <juan.ovalle@mistral.ai> <juan.ovalle@mistral.ai>
kagura-agent <kagura.chen28@gmail.com> <kagura.chen28@gmail.com>
spniyant <niyant@spicefi.xyz> <niyant@spicefi.xyz>
olafthiele <programming@olafthiele.com> <programming@olafthiele.com>
r266-tech <r2668940489@gmail.com> <r2668940489@gmail.com>
xingkongliang <tianliangjay@gmail.com> <tianliangjay@gmail.com>
win4r <win4r@outlook.com> <win4r@outlook.com>
zhouboli <zhouboli@gmail.com> <zhouboli@gmail.com>
yongtenglei <yongtenglei@gmail.com> <yongtenglei@gmail.com>
# Nous Research team
benbarclay <ben@nousresearch.com> <ben@nousresearch.com>
jquesnelle <jonny@nousresearch.com> <jonny@nousresearch.com>
# GH contributor list verified
spideystreet <dhicham.pro@gmail.com> <dhicham.pro@gmail.com>
dorukardahan <dorukardahan@hotmail.com> <dorukardahan@hotmail.com>
MustafaKara7 <karamusti912@gmail.com> <karamusti912@gmail.com>
Hmbown <hmbown@gmail.com> <hmbown@gmail.com>
kamil-gwozdz <kamil@gwozdz.me> <kamil@gwozdz.me>
kira-ariaki <kira@ariaki.me> <kira@ariaki.me>
knopki <knopki@duck.com> <knopki@duck.com>
Unayung <unayung@gmail.com> <unayung@gmail.com>
SeeYangZhi <yangzhi.see@gmail.com> <yangzhi.see@gmail.com>
Julientalbot <julien.talbot@ergonomia.re> <julien.talbot@ergonomia.re>
lesterli <lisicheng168@gmail.com> <lisicheng168@gmail.com>
JiayuuWang <jiayuw794@gmail.com> <jiayuw794@gmail.com>
tesseracttars-creator <tesseracttars@gmail.com> <tesseracttars@gmail.com>
xinbenlv <zzn+pa@zzn.im> <zzn+pa@zzn.im>
SaulJWu <saul.jj.wu@gmail.com> <saul.jj.wu@gmail.com>
angelos <angelos@oikos.lan.home.malaiwah.com> <angelos@oikos.lan.home.malaiwah.com>
+5 -5
View File
@@ -13,7 +13,7 @@ source venv/bin/activate # ALWAYS activate before running Python
```
hermes-agent/
├── run_agent.py # AIAgent class — core conversation loop
├── model_tools.py # Tool orchestration, _discover_tools(), handle_function_call()
├── model_tools.py # Tool orchestration, discover_builtin_tools(), handle_function_call()
├── toolsets.py # Toolset definitions, _HERMES_CORE_TOOLS list
├── cli.py # HermesCLI class — interactive CLI orchestrator
├── hermes_state.py # SessionDB — SQLite session store (FTS5 search)
@@ -55,7 +55,7 @@ hermes-agent/
├── gateway/ # Messaging platform gateway
│ ├── run.py # Main loop, slash commands, message dispatch
│ ├── session.py # SessionStore — conversation persistence
│ └── platforms/ # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal
│ └── platforms/ # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal, qqbot
├── acp_adapter/ # ACP server (VS Code / Zed / JetBrains integration)
├── cron/ # Scheduler (jobs.py, scheduler.py)
├── environments/ # RL training environments (Atropos)
@@ -181,7 +181,7 @@ if canonical == "mycommand":
## Adding New Tools
Requires changes in **3 files**:
Requires changes in **2 files**:
**1. Create `tools/your_tool.py`:**
```python
@@ -204,9 +204,9 @@ registry.register(
)
```
**2. Add import** in `model_tools.py` `_discover_tools()` list.
**2. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.
**3. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.
Auto-discovery: any `tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual import list to maintain.
The registry handles schema collection, dispatch, availability checking, and error wrapping. All handlers MUST return a JSON string.
+1 -1
View File
@@ -12,7 +12,7 @@ ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
# Install system dependencies in one layer, clear APT cache
RUN apt-get update && \
apt-get install -y --no-install-recommends \
build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps && \
build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git && \
rm -rf /var/lib/apt/lists/*
# Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
+1 -1
View File
@@ -13,7 +13,7 @@
**The self-improving AI agent built by [Nous Research](https://nousresearch.com).** It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Use any model you want — [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai) (200+ models), [z.ai/GLM](https://z.ai), [Kimi/Moonshot](https://platform.moonshot.ai), [MiniMax](https://www.minimax.io), OpenAI, or your own endpoint. Switch with `hermes model` — no code changes, no lock-in.
Use any model you want — [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai) (200+ models), [Xiaomi MiMo](https://platform.xiaomimimo.com), [z.ai/GLM](https://z.ai), [Kimi/Moonshot](https://platform.moonshot.ai), [MiniMax](https://www.minimax.io), [Hugging Face](https://huggingface.co), OpenAI, or your own endpoint. Switch with `hermes model` — no code changes, no lock-in.
<table>
<tr><td><b>A real terminal interface</b></td><td>Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output.</td></tr>
+1
View File
@@ -318,6 +318,7 @@
- **@JiayuuWang** — CLI uninstall import fix
- **@HiddenPuppy** — Docker procps installation
- **@dsocolobsky** — Test suite fixes
- **@bobashopcashier** (1 PR) — Graceful gateway drain before restart (salvaged into #7503 from #7290)
- **@benbarclay** — Docker image tag simplification
- **@sosyz** — Shallow git clone for faster install
- **@devorun** — Nix setupSecrets optional
+8 -7
View File
@@ -1230,9 +1230,10 @@ def build_anthropic_kwargs(
When *base_url* points to a third-party Anthropic-compatible endpoint,
thinking block signatures are stripped (they are Anthropic-proprietary).
When *fast_mode* is True, adds ``speed: "fast"`` and the fast-mode beta
header for ~2.5x faster output throughput on Opus 4.6. Currently only
supported on native Anthropic endpoints (not third-party compatible ones).
When *fast_mode* is True, adds ``extra_body["speed"] = "fast"`` and the
fast-mode beta header for ~2.5x faster output throughput on Opus 4.6.
Currently only supported on native Anthropic endpoints (not third-party
compatible ones).
"""
system, anthropic_messages = convert_messages_to_anthropic(messages, base_url=base_url)
anthropic_tools = convert_tools_to_anthropic(tools) if tools else []
@@ -1333,11 +1334,11 @@ def build_anthropic_kwargs(
kwargs["max_tokens"] = max(effective_max_tokens, budget + 4096)
# ── Fast mode (Opus 4.6 only) ────────────────────────────────────
# Adds speed:"fast" + the fast-mode beta header for ~2.5x output speed.
# Only for native Anthropic endpoints — third-party providers would
# reject the unknown beta header and speed parameter.
# Adds extra_body.speed="fast" + the fast-mode beta header for ~2.5x
# output speed. Only for native Anthropic endpoints — third-party
# providers would reject the unknown beta header and speed parameter.
if fast_mode and not _is_third_party_anthropic_endpoint(base_url):
kwargs["speed"] = "fast"
kwargs.setdefault("extra_body", {})["speed"] = "fast"
# Build extra_headers with ALL applicable betas (the per-request
# extra_headers override the client-level anthropic-beta header).
betas = list(_common_betas_for_base_url(base_url))
+47 -1
View File
@@ -112,6 +112,7 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
# "exotic provider" branch checks this before falling back to the main model.
_PROVIDER_VISION_MODELS: Dict[str, str] = {
"xiaomi": "mimo-v2-omni",
"zai": "glm-5v-turbo",
}
# OpenRouter app attribution headers
@@ -1223,6 +1224,12 @@ def _to_async_client(sync_client, model: str):
return AsyncCodexAuxiliaryClient(sync_client), model
if isinstance(sync_client, AnthropicAuxiliaryClient):
return AsyncAnthropicAuxiliaryClient(sync_client), model
try:
from agent.copilot_acp_client import CopilotACPClient
if isinstance(sync_client, CopilotACPClient):
return sync_client, model
except ImportError:
pass
async_kwargs = {
"api_key": sync_client.api_key,
@@ -1467,7 +1474,11 @@ def resolve_provider_client(
# ── API-key providers from PROVIDER_REGISTRY ─────────────────────
try:
from hermes_cli.auth import PROVIDER_REGISTRY, resolve_api_key_provider_credentials
from hermes_cli.auth import (
PROVIDER_REGISTRY,
resolve_api_key_provider_credentials,
resolve_external_process_provider_credentials,
)
except ImportError:
logger.debug("hermes_cli.auth not available for provider %s", provider)
return None, None
@@ -1541,6 +1552,41 @@ def resolve_provider_client(
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
if pconfig.auth_type == "external_process":
creds = resolve_external_process_provider_credentials(provider)
final_model = _normalize_resolved_model(model or _read_main_model(), provider)
if provider == "copilot-acp":
api_key = str(creds.get("api_key", "")).strip()
base_url = str(creds.get("base_url", "")).strip()
command = str(creds.get("command", "")).strip() or None
args = list(creds.get("args") or [])
if not final_model:
logger.warning(
"resolve_provider_client: copilot-acp requested but no model "
"was provided or configured"
)
return None, None
if not api_key or not base_url:
logger.warning(
"resolve_provider_client: copilot-acp requested but external "
"process credentials are incomplete"
)
return None, None
from agent.copilot_acp_client import CopilotACPClient
client = CopilotACPClient(
api_key=api_key,
base_url=base_url,
command=command,
args=args,
)
logger.debug("resolve_provider_client: %s (%s)", provider, final_model)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
logger.warning("resolve_provider_client: external-process provider %s not "
"directly supported", provider)
return None, None
elif pconfig.auth_type in ("oauth_device_code", "oauth_external"):
# OAuth providers — route through their specific try functions
if provider == "nous":
+307 -36
View File
@@ -17,7 +17,10 @@ Improvements over v2:
- Richer tool call/result detail in summarizer input
"""
import hashlib
import json
import logging
import re
import time
from typing import Any, Dict, List, Optional
@@ -57,6 +60,128 @@ _CHARS_PER_TOKEN = 4
_SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
def _summarize_tool_result(tool_name: str, tool_args: str, tool_content: str) -> str:
"""Create an informative 1-line summary of a tool call + result.
Used during the pre-compression pruning pass to replace large tool
outputs with a short but useful description of what the tool did,
rather than a generic placeholder that carries zero information.
Returns strings like::
[terminal] ran `npm test` -> exit 0, 47 lines output
[read_file] read config.py from line 1 (1,200 chars)
[search_files] content search for 'compress' in agent/ -> 12 matches
"""
try:
args = json.loads(tool_args) if tool_args else {}
except (json.JSONDecodeError, TypeError):
args = {}
content = tool_content or ""
content_len = len(content)
line_count = content.count("\n") + 1 if content.strip() else 0
if tool_name == "terminal":
cmd = args.get("command", "")
if len(cmd) > 80:
cmd = cmd[:77] + "..."
exit_match = re.search(r'"exit_code"\s*:\s*(-?\d+)', content)
exit_code = exit_match.group(1) if exit_match else "?"
return f"[terminal] ran `{cmd}` -> exit {exit_code}, {line_count} lines output"
if tool_name == "read_file":
path = args.get("path", "?")
offset = args.get("offset", 1)
return f"[read_file] read {path} from line {offset} ({content_len:,} chars)"
if tool_name == "write_file":
path = args.get("path", "?")
written_lines = args.get("content", "").count("\n") + 1 if args.get("content") else "?"
return f"[write_file] wrote to {path} ({written_lines} lines)"
if tool_name == "search_files":
pattern = args.get("pattern", "?")
path = args.get("path", ".")
target = args.get("target", "content")
match_count = re.search(r'"total_count"\s*:\s*(\d+)', content)
count = match_count.group(1) if match_count else "?"
return f"[search_files] {target} search for '{pattern}' in {path} -> {count} matches"
if tool_name == "patch":
path = args.get("path", "?")
mode = args.get("mode", "replace")
return f"[patch] {mode} in {path} ({content_len:,} chars result)"
if tool_name in ("browser_navigate", "browser_click", "browser_snapshot",
"browser_type", "browser_scroll", "browser_vision"):
url = args.get("url", "")
ref = args.get("ref", "")
detail = f" {url}" if url else (f" ref={ref}" if ref else "")
return f"[{tool_name}]{detail} ({content_len:,} chars)"
if tool_name == "web_search":
query = args.get("query", "?")
return f"[web_search] query='{query}' ({content_len:,} chars result)"
if tool_name == "web_extract":
urls = args.get("urls", [])
url_desc = urls[0] if isinstance(urls, list) and urls else "?"
if isinstance(urls, list) and len(urls) > 1:
url_desc += f" (+{len(urls) - 1} more)"
return f"[web_extract] {url_desc} ({content_len:,} chars)"
if tool_name == "delegate_task":
goal = args.get("goal", "")
if len(goal) > 60:
goal = goal[:57] + "..."
return f"[delegate_task] '{goal}' ({content_len:,} chars result)"
if tool_name == "execute_code":
code_preview = (args.get("code") or "")[:60].replace("\n", " ")
if len(args.get("code", "")) > 60:
code_preview += "..."
return f"[execute_code] `{code_preview}` ({line_count} lines output)"
if tool_name in ("skill_view", "skills_list", "skill_manage"):
name = args.get("name", "?")
return f"[{tool_name}] name={name} ({content_len:,} chars)"
if tool_name == "vision_analyze":
question = args.get("question", "")[:50]
return f"[vision_analyze] '{question}' ({content_len:,} chars)"
if tool_name == "memory":
action = args.get("action", "?")
target = args.get("target", "?")
return f"[memory] {action} on {target}"
if tool_name == "todo":
return "[todo] updated task list"
if tool_name == "clarify":
return "[clarify] asked user a question"
if tool_name == "text_to_speech":
return f"[text_to_speech] generated audio ({content_len:,} chars)"
if tool_name == "cronjob":
action = args.get("action", "?")
return f"[cronjob] {action}"
if tool_name == "process":
action = args.get("action", "?")
sid = args.get("session_id", "?")
return f"[process] {action} session={sid}"
# Generic fallback
first_arg = ""
for k, v in list(args.items())[:2]:
sv = str(v)[:40]
first_arg += f" {k}={sv}"
return f"[{tool_name}]{first_arg} ({content_len:,} chars result)"
class ContextCompressor(ContextEngine):
"""Default context engine — compresses conversation context via lossy summarization.
@@ -78,6 +203,8 @@ class ContextCompressor(ContextEngine):
self._context_probed = False
self._context_probe_persistable = False
self._previous_summary = None
self._last_compression_savings_pct = 100.0
self._ineffective_compression_count = 0
def update_model(
self,
@@ -167,6 +294,9 @@ class ContextCompressor(ContextEngine):
# Stores the previous compaction summary for iterative updates
self._previous_summary: Optional[str] = None
# Anti-thrashing: track whether last compression was effective
self._last_compression_savings_pct: float = 100.0
self._ineffective_compression_count: int = 0
self._summary_failure_cooldown_until: float = 0.0
def update_from_response(self, usage: Dict[str, Any]):
@@ -175,9 +305,26 @@ class ContextCompressor(ContextEngine):
self.last_completion_tokens = usage.get("completion_tokens", 0)
def should_compress(self, prompt_tokens: int = None) -> bool:
"""Check if context exceeds the compression threshold."""
"""Check if context exceeds the compression threshold.
Includes anti-thrashing protection: if the last two compressions
each saved less than 10%, skip compression to avoid infinite loops
where each pass removes only 1-2 messages.
"""
tokens = prompt_tokens if prompt_tokens is not None else self.last_prompt_tokens
return tokens >= self.threshold_tokens
if tokens < self.threshold_tokens:
return False
# Anti-thrashing: back off if recent compressions were ineffective
if self._ineffective_compression_count >= 2:
if not self.quiet_mode:
logger.warning(
"Compression skipped — last %d compressions saved <10%% each. "
"Consider /new to start a fresh session, or /compress <topic> "
"for focused compression.",
self._ineffective_compression_count,
)
return False
return True
# ------------------------------------------------------------------
# Tool output pruning (cheap pre-pass, no LLM call)
@@ -187,7 +334,16 @@ class ContextCompressor(ContextEngine):
self, messages: List[Dict[str, Any]], protect_tail_count: int,
protect_tail_tokens: int | None = None,
) -> tuple[List[Dict[str, Any]], int]:
"""Replace old tool result contents with a short placeholder.
"""Replace old tool result contents with informative 1-line summaries.
Instead of a generic placeholder, generates a summary like::
[terminal] ran `npm test` -> exit 0, 47 lines output
[read_file] read config.py from line 1 (3,400 chars)
Also deduplicates identical tool results (e.g. reading the same file
5x keeps only the newest full copy) and truncates large tool_call
arguments in assistant messages outside the protected tail.
Walks backward from the end, protecting the most recent messages that
fall within ``protect_tail_tokens`` (when provided) OR the last
@@ -203,6 +359,22 @@ class ContextCompressor(ContextEngine):
result = [m.copy() for m in messages]
pruned = 0
# Build index: tool_call_id -> (tool_name, arguments_json)
call_id_to_tool: Dict[str, tuple] = {}
for msg in result:
if msg.get("role") == "assistant":
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
cid = tc.get("id", "")
fn = tc.get("function", {})
call_id_to_tool[cid] = (fn.get("name", "unknown"), fn.get("arguments", ""))
else:
cid = getattr(tc, "id", "") or ""
fn = getattr(tc, "function", None)
name = getattr(fn, "name", "unknown") if fn else "unknown"
args_str = getattr(fn, "arguments", "") if fn else ""
call_id_to_tool[cid] = (name, args_str)
# Determine the prune boundary
if protect_tail_tokens is not None and protect_tail_tokens > 0:
# Token-budget approach: walk backward accumulating tokens
@@ -211,7 +383,8 @@ class ContextCompressor(ContextEngine):
min_protect = min(protect_tail_count, len(result) - 1)
for i in range(len(result) - 1, -1, -1):
msg = result[i]
content_len = len(msg.get("content") or "")
raw_content = msg.get("content") or ""
content_len = sum(len(p.get("text", "")) for p in raw_content) if isinstance(raw_content, list) else len(raw_content)
msg_tokens = content_len // _CHARS_PER_TOKEN + 10
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
@@ -226,18 +399,69 @@ class ContextCompressor(ContextEngine):
else:
prune_boundary = len(result) - protect_tail_count
# Pass 1: Deduplicate identical tool results.
# When the same file is read multiple times, keep only the most recent
# full copy and replace older duplicates with a back-reference.
content_hashes: dict = {} # hash -> (index, tool_call_id)
for i in range(len(result) - 1, -1, -1):
msg = result[i]
if msg.get("role") != "tool":
continue
content = msg.get("content") or ""
# Skip multimodal content (list of content blocks)
if isinstance(content, list):
continue
if len(content) < 200:
continue
h = hashlib.md5(content.encode("utf-8", errors="replace")).hexdigest()[:12]
if h in content_hashes:
# This is an older duplicate — replace with back-reference
result[i] = {**msg, "content": "[Duplicate tool output — same content as a more recent call]"}
pruned += 1
else:
content_hashes[h] = (i, msg.get("tool_call_id", "?"))
# Pass 2: Replace old tool results with informative summaries
for i in range(prune_boundary):
msg = result[i]
if msg.get("role") != "tool":
continue
content = msg.get("content", "")
# Skip multimodal content (list of content blocks)
if isinstance(content, list):
continue
if not content or content == _PRUNED_TOOL_PLACEHOLDER:
continue
# Skip already-deduplicated or previously-summarized results
if content.startswith("[Duplicate tool output"):
continue
# Only prune if the content is substantial (>200 chars)
if len(content) > 200:
result[i] = {**msg, "content": _PRUNED_TOOL_PLACEHOLDER}
call_id = msg.get("tool_call_id", "")
tool_name, tool_args = call_id_to_tool.get(call_id, ("unknown", ""))
summary = _summarize_tool_result(tool_name, tool_args, content)
result[i] = {**msg, "content": summary}
pruned += 1
# Pass 3: Truncate large tool_call arguments in assistant messages
# outside the protected tail. write_file with 50KB content, for
# example, survives pruning entirely without this.
for i in range(prune_boundary):
msg = result[i]
if msg.get("role") != "assistant" or not msg.get("tool_calls"):
continue
new_tcs = []
modified = False
for tc in msg["tool_calls"]:
if isinstance(tc, dict):
args = tc.get("function", {}).get("arguments", "")
if len(args) > 500:
tc = {**tc, "function": {**tc["function"], "arguments": args[:200] + "...[truncated]"}}
modified = True
new_tcs.append(tc)
if modified:
result[i] = {**msg, "tool_calls": new_tcs}
return result, pruned
# ------------------------------------------------------------------
@@ -357,29 +581,37 @@ class ContextCompressor(ContextEngine):
)
# Shared structured template (used by both paths).
# Key changes vs v1:
# - "Pending User Asks" section (from Claude Code) explicitly tracks
# unanswered questions so the model knows what's resolved vs open
# - "Remaining Work" replaces "Next Steps" to avoid reading as active
# instructions
# - "Resolved Questions" makes it clear which questions were already
# answered (prevents model from re-answering them)
_template_sections = f"""## Goal
[What the user is trying to accomplish]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions]
## Progress
### Done
[Completed work include specific file paths, commands run, results obtained]
### In Progress
[Work currently underway]
### Blocked
[Any blockers or issues encountered]
## Completed Actions
[Numbered list of concrete actions taken include tool used, target, and outcome.
Format each as: N. ACTION target outcome [tool: name]
Example:
1. READ config.py:45 found `==` should be `!=` [tool: read_file]
2. PATCH config.py:45 changed `==` to `!=` [tool: patch]
3. TEST `pytest tests/` 3/50 failed: test_parse, test_validate, test_edge [tool: terminal]
Be specific with file paths, commands, line numbers, and results.]
## Active State
[Current working state include:
- Working directory and branch (if applicable)
- Modified/created files with brief note on each
- Test status (X/Y passing)
- Any running processes or servers
- Environment details that matter]
## In Progress
[Work currently underway what was being done when compaction fired]
## Blocked
[Any blockers, errors, or issues not yet resolved. Include exact error messages.]
## Key Decisions
[Important technical decisions and why they were made]
[Important technical decisions and WHY they were made]
## Resolved Questions
[Questions the user asked that were ALREADY answered include the answer so the next assistant does not re-answer them]
@@ -396,10 +628,7 @@ class ContextCompressor(ContextEngine):
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
## Tools & Patterns
[Which tools were used, how they were used effectively, and any tool-specific discoveries]
Target ~{summary_budget} tokens. Be specific include file paths, command outputs, error messages, and concrete values rather than vague descriptions.
Target ~{summary_budget} tokens. Be CONCRETE include file paths, command outputs, error messages, line numbers, and specific values. Avoid vague descriptions like "made some changes" say exactly what changed.
Write only the summary body. Do not include any preamble or prefix."""
@@ -415,7 +644,7 @@ PREVIOUS SUMMARY:
NEW TURNS TO INCORPORATE:
{content_to_summarize}
Update the summary using this exact structure. PRESERVE all existing information that is still relevant. ADD new progress. Move items from "In Progress" to "Done" when completed. Move answered questions to "Resolved Questions". Remove information only if it is clearly obsolete.
Update the summary using this exact structure. PRESERVE all existing information that is still relevant. ADD new completed actions to the numbered list (continue numbering). Move items from "In Progress" to "Completed Actions" when done. Move answered questions to "Resolved Questions". Update "Active State" to reflect current state. Remove information only if it is clearly obsolete.
{_template_sections}"""
else:
@@ -450,7 +679,7 @@ The user has requested that this compaction PRIORITISE preserving all informatio
"api_mode": self.api_mode,
},
"messages": [{"role": "user", "content": prompt}],
"max_tokens": summary_budget * 2,
"max_tokens": int(summary_budget * 1.3),
# timeout resolved from auxiliary.compression.timeout config by call_llm
}
if self.summary_model:
@@ -464,8 +693,10 @@ The user has requested that this compaction PRIORITISE preserving all informatio
# Store for iterative updates on next compaction
self._previous_summary = summary
self._summary_failure_cooldown_until = 0.0
self._summary_model_fallen_back = False
return self._with_summary_prefix(summary)
except RuntimeError:
# No provider configured — long cooldown, unlikely to self-resolve
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning("Context compression: no provider available for "
"summary. Middle turns will be dropped without summary "
@@ -473,12 +704,42 @@ The user has requested that this compaction PRIORITISE preserving all informatio
_SUMMARY_FAILURE_COOLDOWN_SECONDS)
return None
except Exception as e:
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
# If the summary model is different from the main model and the
# error looks permanent (model not found, 503, 404), fall back to
# using the main model instead of entering cooldown that leaves
# context growing unbounded. (#8620 sub-issue 4)
_status = getattr(e, "status_code", None) or getattr(getattr(e, "response", None), "status_code", None)
_err_str = str(e).lower()
_is_model_not_found = (
_status in (404, 503)
or "model_not_found" in _err_str
or "does not exist" in _err_str
or "no available channel" in _err_str
)
if (
_is_model_not_found
and self.summary_model
and self.summary_model != self.model
and not getattr(self, "_summary_model_fallen_back", False)
):
self._summary_model_fallen_back = True
logging.warning(
"Summary model '%s' not available (%s). "
"Falling back to main model '%s' for compression.",
self.summary_model, e, self.model,
)
self.summary_model = "" # empty = use main model
self._summary_failure_cooldown_until = 0.0 # no cooldown
return self._generate_summary(messages, summary_budget) # retry immediately
# Transient errors (timeout, rate limit, network) — shorter cooldown
_transient_cooldown = 60
self._summary_failure_cooldown_until = time.monotonic() + _transient_cooldown
logging.warning(
"Failed to generate context summary: %s. "
"Further summary attempts paused for %d seconds.",
e,
_SUMMARY_FAILURE_COOLDOWN_SECONDS,
_transient_cooldown,
)
return None
@@ -744,11 +1005,11 @@ The user has requested that this compaction PRIORITISE preserving all informatio
compressed = []
for i in range(compress_start):
msg = messages[i].copy()
if i == 0 and msg.get("role") == "system" and self.compression_count == 0:
msg["content"] = (
(msg.get("content") or "")
+ "\n\n[Note: Some earlier conversation turns have been compacted into a handoff summary to preserve context space. The current session state may still reflect earlier work, so build on that summary and state rather than re-doing work.]"
)
if i == 0 and msg.get("role") == "system":
existing = msg.get("content") or ""
_compression_note = "[Note: Some earlier conversation turns have been compacted into a handoff summary to preserve context space. The current session state may still reflect earlier work, so build on that summary and state rather than re-doing work.]"
if _compression_note not in existing:
msg["content"] = existing + "\n\n" + _compression_note
compressed.append(msg)
# If LLM summary failed, insert a static fallback so the model
@@ -806,14 +1067,24 @@ The user has requested that this compaction PRIORITISE preserving all informatio
compressed = self._sanitize_tool_pairs(compressed)
new_estimate = estimate_messages_tokens_rough(compressed)
saved_estimate = display_tokens - new_estimate
# Anti-thrashing: track compression effectiveness
savings_pct = (saved_estimate / display_tokens * 100) if display_tokens > 0 else 0
self._last_compression_savings_pct = savings_pct
if savings_pct < 10:
self._ineffective_compression_count += 1
else:
self._ineffective_compression_count = 0
if not self.quiet_mode:
new_estimate = estimate_messages_tokens_rough(compressed)
saved_estimate = display_tokens - new_estimate
logger.info(
"Compressed: %d -> %d messages (~%d tokens saved)",
"Compressed: %d -> %d messages (~%d tokens saved, %.0f%%)",
n_messages,
len(compressed),
saved_estimate,
savings_pct,
)
logger.info("Compression #%d complete", self.compression_count)
+1 -1
View File
@@ -26,7 +26,7 @@ Lifecycle:
"""
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional
from typing import Any, Dict, List
class ContextEngine(ABC):
+53 -1
View File
@@ -18,7 +18,6 @@ import hermes_cli.auth as auth_mod
from hermes_cli.auth import (
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
DEFAULT_AGENT_KEY_MIN_TTL_SECONDS,
KIMI_CODE_BASE_URL,
PROVIDER_REGISTRY,
_auth_store_lock,
_codex_access_token_is_expiring,
@@ -1153,6 +1152,59 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
},
)
elif provider == "copilot":
# Copilot tokens are resolved dynamically via `gh auth token` or
# env vars (COPILOT_GITHUB_TOKEN / GH_TOKEN). They don't live in
# the auth store or credential pool, so we resolve them here.
try:
from hermes_cli.copilot_auth import resolve_copilot_token
token, source = resolve_copilot_token()
if token:
source_name = "gh_cli" if "gh" in source.lower() else f"env:{source}"
active_sources.add(source_name)
changed |= _upsert_entry(
entries,
provider,
source_name,
{
"source": source_name,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": token,
"label": source,
},
)
except Exception as exc:
logger.debug("Copilot token seed failed: %s", exc)
elif provider == "qwen-oauth":
# Qwen OAuth tokens live in ~/.qwen/oauth_creds.json, written by
# the Qwen CLI (`qwen auth qwen-oauth`). They aren't in the
# Hermes auth store or env vars, so resolve them here.
# Use refresh_if_expiring=False to avoid network calls during
# pool loading / provider discovery.
try:
from hermes_cli.auth import resolve_qwen_runtime_credentials
creds = resolve_qwen_runtime_credentials(refresh_if_expiring=False)
token = creds.get("api_key", "")
if token:
source_name = creds.get("source", "qwen-cli")
active_sources.add(source_name)
changed |= _upsert_entry(
entries,
provider,
source_name,
{
"source": source_name,
"auth_type": AUTH_TYPE_OAUTH,
"access_token": token,
"expires_at_ms": creds.get("expires_at_ms"),
"base_url": creds.get("base_url", ""),
"label": creds.get("auth_file", source_name),
},
)
except Exception as exc:
logger.debug("Qwen OAuth token seed failed: %s", exc)
elif provider == "openai-codex":
state = _load_provider_state(auth_store, "openai-codex")
tokens = state.get("tokens") if isinstance(state, dict) else None
-6
View File
@@ -77,12 +77,6 @@ def _diff_ansi() -> dict[str, str]:
return _diff_colors_cached
def reset_diff_colors() -> None:
"""Reset cached diff colors (call after /skin switch)."""
global _diff_colors_cached
_diff_colors_cached = None
# Module-level helpers — each call resolves from the active skin lazily.
def _diff_dim(): return _diff_ansi()["dim"]
def _diff_file(): return _diff_ansi()["file"]
+12 -1
View File
@@ -13,7 +13,6 @@ from __future__ import annotations
import enum
import logging
import re
from dataclasses import dataclass, field
from typing import Any, Dict, Optional
@@ -157,6 +156,18 @@ _CONTEXT_OVERFLOW_PATTERNS = [
"prompt exceeds max length",
"max_tokens",
"maximum number of tokens",
# vLLM / local inference server patterns
"exceeds the max_model_len",
"max_model_len",
"prompt length", # "engine prompt length X exceeds"
"input is too long",
"maximum model length",
# Ollama patterns
"context length exceeded",
"truncating input",
# llama.cpp / llama-server patterns
"slot context", # "slot context: N tokens, prompt N tokens"
"n_ctx_slot",
# Chinese error messages (some providers return these)
"超过最大长度",
"上下文长度",
-1
View File
@@ -27,7 +27,6 @@ from agent.usage_pricing import (
DEFAULT_PRICING,
estimate_usage_cost,
format_duration_compact,
get_pricing,
has_known_pricing,
)
-1
View File
@@ -28,7 +28,6 @@ Usage in run_agent.py:
from __future__ import annotations
import json
import logging
import re
from typing import Any, Dict, List, Optional
+14 -3
View File
@@ -5,7 +5,6 @@ and run_agent.py for pre-flight context checks.
"""
import logging
import os
import re
import time
from pathlib import Path
@@ -28,6 +27,7 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"qwen-oauth",
"xiaomi",
"arcee",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
@@ -35,6 +35,8 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"github-models", "kimi", "moonshot", "kimi-cn", "moonshot-cn", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"mimo", "xiaomi-mimo",
"arcee-ai", "arceeai",
"xai", "x-ai", "x.ai", "grok",
"qwen-portal",
})
@@ -105,9 +107,15 @@ DEFAULT_CONTEXT_LENGTHS = {
"claude-sonnet-4.6": 1000000,
# Catch-all for older Claude models (must sort after specific entries)
"claude": 200000,
# OpenAI
# OpenAI — GPT-5 family (most have 400k; specific overrides first)
# Source: https://developers.openai.com/api/docs/models
"gpt-5.4-nano": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4-mini": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4": 1050000, # GPT-5.4, GPT-5.4 Pro (1.05M context)
"gpt-5.3-codex-spark": 128000, # Spark variant has reduced 128k context
"gpt-5.1-chat": 128000, # Chat variant has 128k context
"gpt-5": 400000, # GPT-5.x base, mini, codex variants (400k)
"gpt-4.1": 1047576,
"gpt-5": 128000,
"gpt-4": 128000,
# Google
"gemini": 1048576,
@@ -149,6 +157,8 @@ DEFAULT_CONTEXT_LENGTHS = {
"kimi": 262144,
# Arcee
"trinity": 262144,
# OpenRouter
"elephant": 262144,
# Hugging Face Inference Providers — model IDs use org/name format
"Qwen/Qwen3.5-397B-A17B": 131072,
"Qwen/Qwen3.5-35B-A3B": 131072,
@@ -213,6 +223,7 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.moonshot.ai": "kimi-coding",
"api.moonshot.cn": "kimi-coding-cn",
"api.kimi.com": "kimi-coding",
"api.arcee.ai": "arcee",
"api.minimax": "minimax",
"dashscope.aliyuncs.com": "alibaba",
"dashscope-intl.aliyuncs.com": "alibaba",
-96
View File
@@ -18,10 +18,8 @@ Other modules should import the dataclasses and query functions from here
rather than parsing the raw JSON themselves.
"""
import difflib
import json
import logging
import os
import time
from dataclasses import dataclass
from pathlib import Path
@@ -177,13 +175,6 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
_MODELS_DEV_TO_PROVIDER: Optional[Dict[str, str]] = None
def _get_reverse_mapping() -> Dict[str, str]:
"""Return models.dev ID → Hermes provider ID mapping."""
global _MODELS_DEV_TO_PROVIDER
if _MODELS_DEV_TO_PROVIDER is None:
_MODELS_DEV_TO_PROVIDER = {v: k for k, v in PROVIDER_TO_MODELS_DEV.items()}
return _MODELS_DEV_TO_PROVIDER
def _get_cache_path() -> Path:
"""Return path to disk cache file."""
@@ -464,93 +455,6 @@ def list_agentic_models(provider: str) -> List[str]:
return result
def search_models_dev(
query: str, provider: str = None, limit: int = 5
) -> List[Dict[str, Any]]:
"""Fuzzy search across models.dev catalog. Returns matching model entries.
Args:
query: Search string to match against model IDs.
provider: Optional Hermes provider ID to restrict search scope.
If None, searches across all providers in PROVIDER_TO_MODELS_DEV.
limit: Maximum number of results to return.
Returns:
List of dicts, each containing 'provider', 'model_id', and the full
model 'entry' from models.dev.
"""
data = fetch_models_dev()
if not data:
return []
# Build list of (provider_id, model_id, entry) candidates
candidates: List[tuple] = []
if provider is not None:
# Search only the specified provider
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return []
provider_data = data.get(mdev_provider_id, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((provider, mid, mdata))
else:
# Search across all mapped providers
for hermes_prov, mdev_prov in PROVIDER_TO_MODELS_DEV.items():
provider_data = data.get(mdev_prov, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((hermes_prov, mid, mdata))
if not candidates:
return []
# Use difflib for fuzzy matching — case-insensitive comparison
model_ids_lower = [c[1].lower() for c in candidates]
query_lower = query.lower()
# First try exact substring matches (more intuitive than pure edit-distance)
substring_matches = []
for prov, mid, mdata in candidates:
if query_lower in mid.lower():
substring_matches.append({"provider": prov, "model_id": mid, "entry": mdata})
# Then add difflib fuzzy matches for any remaining slots
fuzzy_ids = difflib.get_close_matches(
query_lower, model_ids_lower, n=limit * 2, cutoff=0.4
)
seen_ids: set = set()
results: List[Dict[str, Any]] = []
# Prioritize substring matches
for match in substring_matches:
key = (match["provider"], match["model_id"])
if key not in seen_ids:
seen_ids.add(key)
results.append(match)
if len(results) >= limit:
return results
# Add fuzzy matches
for fid in fuzzy_ids:
# Find original-case candidates matching this lowered ID
for prov, mid, mdata in candidates:
if mid.lower() == fid:
key = (prov, mid)
if key not in seen_ids:
seen_ids.add(key)
results.append({"provider": prov, "model_id": mid, "entry": mdata})
if len(results) >= limit:
return results
return results
# ---------------------------------------------------------------------------
# Rich dataclass constructors — parse raw models.dev JSON into dataclasses
+6
View File
@@ -376,6 +376,12 @@ PLATFORM_HINTS = {
"downloaded and sent as native photos. Do NOT tell the user you lack file-sending "
"capability — use MEDIA: syntax whenever a file delivery is appropriate."
),
"qqbot": (
"You are on QQ, a popular Chinese messaging platform. QQ supports markdown formatting "
"and emoji. You can send media files natively: include MEDIA:/absolute/path/to/file in "
"your response. Images are sent as native photos, and other files arrive as downloadable "
"documents."
),
}
# ---------------------------------------------------------------------------
+1 -1
View File
@@ -24,7 +24,7 @@ from __future__ import annotations
import time
from dataclasses import dataclass, field
from typing import Any, Dict, Mapping, Optional
from typing import Any, Mapping, Optional
@dataclass
+3 -1
View File
@@ -12,6 +12,8 @@ from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Optional
from hermes_constants import display_hermes_home
logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
@@ -108,7 +110,7 @@ def _inject_skill_config(loaded_skill: dict[str, Any], parts: list[str]) -> None
if not resolved:
return
lines = ["", "[Skill config (from ~/.hermes/config.yaml):"]
lines = ["", f"[Skill config (from {display_hermes_home()}/config.yaml):"]
for key, value in resolved.items():
display_val = str(value) if value else "(not set)"
lines.append(f" {key} = {display_val}")
+23 -1
View File
@@ -10,7 +10,7 @@ import os
import re
import sys
from pathlib import Path
from typing import Any, Dict, List, Set, Tuple
from typing import Any, Dict, List, Optional, Set, Tuple
from hermes_constants import get_config_path, get_skills_dir
@@ -441,3 +441,25 @@ def iter_skill_index_files(skills_dir: Path, filename: str):
matches.append(Path(root) / filename)
for path in sorted(matches, key=lambda p: str(p.relative_to(skills_dir))):
yield path
# ── Namespace helpers for plugin-provided skills ───────────────────────────
_NAMESPACE_RE = re.compile(r"^[a-zA-Z0-9_-]+$")
def parse_qualified_name(name: str) -> Tuple[Optional[str], str]:
"""Split ``'namespace:skill-name'`` into ``(namespace, bare_name)``.
Returns ``(None, name)`` when there is no ``':'``.
"""
if ":" not in name:
return None, name
return tuple(name.split(":", 1)) # type: ignore[return-value]
def is_valid_namespace(candidate: Optional[str]) -> bool:
"""Check whether *candidate* is a valid namespace (``[a-zA-Z0-9_-]+``)."""
if not candidate:
return False
return bool(_NAMESPACE_RE.match(candidate))
-19
View File
@@ -575,25 +575,6 @@ def has_known_pricing(
return entry is not None
def get_pricing(
model_name: str,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Dict[str, float]:
"""Backward-compatible thin wrapper for legacy callers.
Returns only non-cache input/output fields when a pricing entry exists.
Unknown routes return zeroes.
"""
entry = get_pricing_entry(model_name, provider=provider, base_url=base_url, api_key=api_key)
if not entry:
return {"input": 0.0, "output": 0.0}
return {
"input": float(entry.input_cost_per_million or _ZERO),
"output": float(entry.output_cost_per_million or _ZERO),
}
def format_duration_compact(seconds: float) -> str:
if seconds < 60:
+4 -1
View File
@@ -25,6 +25,7 @@ model:
# "minimax-cn" - MiniMax China (requires: MINIMAX_CN_API_KEY)
# "huggingface" - Hugging Face Inference (requires: HF_TOKEN)
# "xiaomi" - Xiaomi MiMo (requires: XIAOMI_API_KEY)
# "arcee" - Arcee AI Trinity models (requires: ARCEEAI_API_KEY)
# "kilocode" - KiloCode gateway (requires: KILOCODE_API_KEY)
# "ai-gateway" - Vercel AI Gateway (requires: AI_GATEWAY_API_KEY)
#
@@ -522,7 +523,7 @@ agent:
# - A preset like "hermes-cli" or "hermes-telegram" (curated tool set)
# - A list of individual toolsets to compose your own (see list below)
#
# Supported platform keys: cli, telegram, discord, whatsapp, slack
# Supported platform keys: cli, telegram, discord, whatsapp, slack, qqbot
#
# Examples:
#
@@ -551,6 +552,7 @@ agent:
# slack: hermes-slack (same as telegram)
# signal: hermes-signal (same as telegram)
# homeassistant: hermes-homeassistant (same as telegram)
# qqbot: hermes-qqbot (same as telegram)
#
platform_toolsets:
cli: [hermes-cli]
@@ -560,6 +562,7 @@ platform_toolsets:
slack: [hermes-slack]
signal: [hermes-signal]
homeassistant: [hermes-homeassistant]
qqbot: [hermes-qqbot]
# ─────────────────────────────────────────────────────────────────────────────
# Available toolsets (use these names in platform_toolsets or the toolsets list)
+58 -79
View File
@@ -988,19 +988,20 @@ def _prune_orphaned_branches(repo_root: str) -> None:
# ANSI building blocks for conversation display
_ACCENT_ANSI_DEFAULT = "\033[1;38;2;255;215;0m" # True-color #FFD700 bold — fallback
_BOLD = "\033[1m"
_DIM = "\033[2m"
_RST = "\033[0m"
_STREAM_PAD = " " # 4-space indent for streamed response text (matches Panel padding)
def _hex_to_ansi_bold(hex_color: str) -> str:
"""Convert a hex color like '#268bd2' to a bold true-color ANSI escape."""
def _hex_to_ansi(hex_color: str, *, bold: bool = False) -> str:
"""Convert a hex color like '#268bd2' to a true-color ANSI escape."""
try:
r = int(hex_color[1:3], 16)
g = int(hex_color[3:5], 16)
b = int(hex_color[5:7], 16)
return f"\033[1;38;2;{r};{g};{b}m"
prefix = "1;" if bold else ""
return f"\033[{prefix}38;2;{r};{g};{b}m"
except (ValueError, IndexError):
return _ACCENT_ANSI_DEFAULT
return _ACCENT_ANSI_DEFAULT if bold else "\033[38;2;184;134;11m"
class _SkinAwareAnsi:
@@ -1010,20 +1011,22 @@ class _SkinAwareAnsi:
force re-resolution after a ``/skin`` switch.
"""
def __init__(self, skin_key: str, fallback_hex: str = "#FFD700"):
def __init__(self, skin_key: str, fallback_hex: str = "#FFD700", *, bold: bool = False):
self._skin_key = skin_key
self._fallback_hex = fallback_hex
self._bold = bold
self._cached: str | None = None
def __str__(self) -> str:
if self._cached is None:
try:
from hermes_cli.skin_engine import get_active_skin
self._cached = _hex_to_ansi_bold(
get_active_skin().get_color(self._skin_key, self._fallback_hex)
self._cached = _hex_to_ansi(
get_active_skin().get_color(self._skin_key, self._fallback_hex),
bold=self._bold,
)
except Exception:
self._cached = _hex_to_ansi_bold(self._fallback_hex)
self._cached = _hex_to_ansi(self._fallback_hex, bold=self._bold)
return self._cached
def __add__(self, other: str) -> str:
@@ -1037,7 +1040,8 @@ class _SkinAwareAnsi:
self._cached = None
_ACCENT = _SkinAwareAnsi("response_border", "#FFD700")
_ACCENT = _SkinAwareAnsi("response_border", "#FFD700", bold=True)
_DIM = _SkinAwareAnsi("banner_dim", "#B8860B")
def _accent_hex() -> str:
@@ -1709,9 +1713,9 @@ class HermesCLI:
# Parse and validate toolsets
self.enabled_toolsets = toolsets
if toolsets and "all" not in toolsets and "*" not in toolsets:
# Validate each toolset — MCP server names are added by
# _get_platform_tools() but aren't registered in TOOLSETS yet
# (that happens later in _sync_mcp_toolsets), so exclude them.
# Validate each toolset — MCP server names are resolved via
# live registry aliases (registered during discover_mcp_tools),
# but discovery hasn't run yet at this point, so exclude them.
mcp_names = set((CLI_CONFIG.get("mcp_servers") or {}).keys())
invalid = [t for t in toolsets if not validate_toolset(t) and t not in mcp_names]
if invalid:
@@ -2577,7 +2581,7 @@ class HermesCLI:
_tc = getattr(self, "_stream_text_ansi", "")
while "\n" in self._stream_buf:
line, self._stream_buf = self._stream_buf.split("\n", 1)
_cprint(f"{_tc}{line}{_RST}" if _tc else line)
_cprint(f"{_STREAM_PAD}{_tc}{line}{_RST}" if _tc else f"{_STREAM_PAD}{line}")
def _flush_stream(self) -> None:
"""Emit any remaining partial line from the stream buffer and close the box."""
@@ -2594,7 +2598,7 @@ class HermesCLI:
if self._stream_buf:
_tc = getattr(self, "_stream_text_ansi", "")
_cprint(f"{_tc}{self._stream_buf}{_RST}" if _tc else self._stream_buf)
_cprint(f"{_STREAM_PAD}{_tc}{self._stream_buf}{_RST}" if _tc else f"{_STREAM_PAD}{self._stream_buf}")
self._stream_buf = ""
# Close the response box
@@ -4474,53 +4478,6 @@ class HermesCLI:
_ask()
return result[0]
def _interactive_provider_selection(
self, providers: list, current_model: str, current_provider: str
) -> str | None:
"""Show provider picker, return slug or None on cancel."""
choices = []
for p in providers:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count} model{'s' if count != 1 else ''})"
if p.get("is_current"):
label += " ← current"
choices.append(label)
default_idx = next(
(i for i, p in enumerate(providers) if p.get("is_current")), 0
)
idx = self._run_curses_picker(
f"Select a provider (current: {current_model} on {current_provider}):",
choices,
default_index=default_idx,
)
if idx is None:
return None
return providers[idx]["slug"]
def _interactive_model_selection(
self, model_list: list, provider_data: dict
) -> str | None:
"""Show model picker for a given provider, return model_id or None on cancel."""
pname = provider_data.get("name", provider_data.get("slug", ""))
total = provider_data.get("total_models", len(model_list))
if not model_list:
_cprint(f"\n No models listed for {pname}.")
return self._prompt_text_input(" Enter model name manually (or Enter to cancel): ")
choices = list(model_list) + ["Enter custom model name"]
idx = self._run_curses_picker(
f"Select model from {pname} ({len(model_list)} of {total}):",
choices,
)
if idx is None:
return None
if idx < len(model_list):
return model_list[idx]
return self._prompt_text_input(" Enter model name: ")
def _open_model_picker(self, providers: list, current_model: str, current_provider: str, user_provs=None, custom_provs=None) -> None:
"""Open prompt_toolkit-native /model picker modal."""
self._capture_modal_input_snapshot()
@@ -4631,16 +4588,19 @@ class HermesCLI:
self._close_model_picker()
return
provider_data = providers[selected]
model_list = []
try:
from hermes_cli.models import provider_model_ids
live = provider_model_ids(provider_data["slug"])
if live:
model_list = live
except Exception:
pass
# Use the curated model list from list_authenticated_providers()
# (same lists as `hermes model` and gateway pickers).
# Only fall back to the live provider catalog when the curated
# list is empty (e.g. user-defined endpoints with no curated list).
model_list = provider_data.get("models", [])
if not model_list:
model_list = provider_data.get("models", [])
try:
from hermes_cli.models import provider_model_ids
live = provider_model_ids(provider_data["slug"])
if live:
model_list = live
except Exception:
pass
state["stage"] = "model"
state["provider_data"] = provider_data
state["model_list"] = model_list
@@ -5805,7 +5765,7 @@ class HermesCLI:
border_style=_resp_color,
style=_resp_text,
box=rich_box.HORIZONTALS,
padding=(1, 2),
padding=(1, 4),
))
else:
_cprint(" (No response generated)")
@@ -5929,7 +5889,7 @@ class HermesCLI:
title_align="left",
border_style=_resp_color,
box=rich_box.HORIZONTALS,
padding=(1, 2),
padding=(1, 4),
))
else:
_cprint(" 💬 /btw: (no response)")
@@ -5996,7 +5956,7 @@ class HermesCLI:
parts = cmd.strip().split(None, 1)
sub = parts[1].lower().strip() if len(parts) > 1 else "status"
_DEFAULT_CDP = "http://localhost:9222"
_DEFAULT_CDP = "http://127.0.0.1:9222"
current = os.environ.get("BROWSER_CDP_URL", "").strip()
if sub.startswith("connect"):
@@ -6203,6 +6163,7 @@ class HermesCLI:
set_active_skin(new_skin)
_ACCENT.reset() # Re-resolve ANSI color for the new skin
_DIM.reset() # Re-resolve dim/secondary ANSI color for the new skin
if save_config_value("display.skin", new_skin):
print(f" Skin set to: {new_skin} (saved)")
else:
@@ -7691,7 +7652,7 @@ class HermesCLI:
label = " ⚕ Hermes "
fill = w - 2 - len(label)
_cprint(f"\n{_ACCENT}╭─{label}{'' * max(fill - 1, 0)}{_RST}")
_cprint(sentence.rstrip())
_cprint(f"{_STREAM_PAD}{sentence.rstrip()}")
tts_thread = threading.Thread(
target=stream_tts_to_speaker,
@@ -7922,7 +7883,7 @@ class HermesCLI:
border_style=_resp_color,
style=_resp_text,
box=rich_box.HORIZONTALS,
padding=(1, 2),
padding=(1, 4),
))
@@ -8674,6 +8635,24 @@ class HermesCLI:
self._should_exit = True
event.app.exit()
_modal_prompt_active = Condition(
lambda: bool(self._secret_state or self._sudo_state)
)
@kb.add('escape', filter=_modal_prompt_active, eager=True)
def handle_escape_modal(event):
"""ESC cancels active secret/sudo prompts."""
if self._secret_state:
self._cancel_secret_capture()
event.app.current_buffer.reset()
event.app.invalidate()
return
if self._sudo_state:
self._sudo_state["response_queue"].put("")
self._sudo_state = None
event.app.invalidate()
return
@kb.add('c-z')
def handle_ctrl_z(event):
"""Handle Ctrl+Z - suspend process to background (Unix only)."""
@@ -8971,9 +8950,9 @@ class HermesCLI:
if cli_ref._voice_processing:
return "transcribing..."
if cli_ref._sudo_state:
return "type password (hidden), Enter to skip"
return "type password (hidden), Enter to submit · ESC to skip"
if cli_ref._secret_state:
return "type secret (hidden), Enter to skip"
return "type secret (hidden), Enter to submit · ESC to skip"
if cli_ref._approval_state:
return ""
if cli_ref._clarify_freetext:
@@ -9216,7 +9195,7 @@ class HermesCLI:
prompt = state.get("prompt") or f"Enter value for {state.get('var_name', 'secret')}"
metadata = state.get("metadata") or {}
help_text = metadata.get("help")
body = 'Enter secret below (hidden), or press Enter to skip'
body = 'Enter secret below (hidden), ESC or Ctrl+C to skip'
content_lines = [prompt, body]
if help_text:
content_lines.insert(1, str(help_text))
+5 -1
View File
@@ -45,6 +45,7 @@ _KNOWN_DELIVERY_PLATFORMS = frozenset({
"telegram", "discord", "slack", "whatsapp", "signal",
"matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
"wecom", "wecom_callback", "weixin", "sms", "email", "webhook", "bluebubbles",
"qqbot",
})
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
@@ -254,6 +255,7 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
"email": Platform.EMAIL,
"sms": Platform.SMS,
"bluebubbles": Platform.BLUEBUBBLES,
"qqbot": Platform.QQBOT,
}
platform = platform_map.get(platform_name.lower())
if not platform:
@@ -286,11 +288,13 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
if wrap_response:
task_name = job.get("name", job["id"])
job_id = job.get("id", "")
delivery_content = (
f"Cronjob Response: {task_name}\n"
f"(job_id: {job_id})\n"
f"-------------\n\n"
f"{content}\n\n"
f"Note: The agent cannot see this message, and therefore cannot respond to it."
f"To stop or manage this job, send me a new message (e.g. \"stop reminder {task_name}\")."
)
else:
delivery_content = content
Regular → Executable
+13 -6
View File
@@ -1,13 +1,14 @@
#!/bin/bash
# Docker entrypoint: bootstrap config files into the mounted volume, then run hermes.
# Docker/Podman entrypoint: bootstrap config files into the mounted volume, then run hermes.
set -e
HERMES_HOME="/opt/data"
HERMES_HOME="${HERMES_HOME:-/opt/data}"
INSTALL_DIR="/opt/hermes"
# --- Privilege dropping via gosu ---
# When started as root (the default), optionally remap the hermes user/group
# to match host-side ownership, fix volume permissions, then re-exec as hermes.
# When started as root (the default for Docker, or fakeroot in rootless Podman),
# optionally remap the hermes user/group to match host-side ownership, fix volume
# permissions, then re-exec as hermes.
if [ "$(id -u)" = "0" ]; then
if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "$(id -u hermes)" ]; then
echo "Changing hermes UID to $HERMES_UID"
@@ -16,13 +17,19 @@ if [ "$(id -u)" = "0" ]; then
if [ -n "$HERMES_GID" ] && [ "$HERMES_GID" != "$(id -g hermes)" ]; then
echo "Changing hermes GID to $HERMES_GID"
groupmod -g "$HERMES_GID" hermes
# -o allows non-unique GID (e.g. macOS GID 20 "staff" may already exist
# as "dialout" in the Debian-based container image)
groupmod -o -g "$HERMES_GID" hermes 2>/dev/null || true
fi
actual_hermes_uid=$(id -u hermes)
if [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
echo "$HERMES_HOME is not owned by $actual_hermes_uid, fixing"
chown -R hermes:hermes "$HERMES_HOME"
# In rootless Podman the container's "root" is mapped to an unprivileged
# host UID — chown will fail. That's fine: the volume is already owned
# by the mapped user on the host side.
chown -R hermes:hermes "$HERMES_HOME" 2>/dev/null || \
echo "Warning: chown failed (rootless container?) — continuing anyway"
fi
echo "Dropping root privileges"
+8
View File
@@ -41,6 +41,14 @@ colors:
session_label: "#DAA520" # Session label
session_border: "#8B8682" # Session ID dim color
# TUI surfaces
status_bar_bg: "#1a1a2e" # Status / usage bar background
voice_status_bg: "#1a1a2e" # Voice-mode badge background
completion_menu_bg: "#1a1a2e" # Completion list background
completion_menu_current_bg: "#333355" # Active completion row background
completion_menu_meta_bg: "#1a1a2e" # Completion meta column background
completion_menu_meta_current_bg: "#333355" # Active completion meta background
# ── Spinner ─────────────────────────────────────────────────────────────────
# Customize the animated spinner shown during API calls and tool execution.
spinner:
-2
View File
@@ -18,9 +18,7 @@ suppress delivery.
"""
import logging
import os
import threading
from pathlib import Path
logger = logging.getLogger("hooks.boot-md")
+35
View File
@@ -66,6 +66,7 @@ class Platform(Enum):
WECOM_CALLBACK = "wecom_callback"
WEIXIN = "weixin"
BLUEBUBBLES = "bluebubbles"
QQBOT = "qqbot"
@dataclass
@@ -303,6 +304,9 @@ class GatewayConfig:
# BlueBubbles uses extra dict for local server config
elif platform == Platform.BLUEBUBBLES and config.extra.get("server_url") and config.extra.get("password"):
connected.append(platform)
# QQBot uses extra dict for app credentials
elif platform == Platform.QQBOT and config.extra.get("app_id") and config.extra.get("client_secret"):
connected.append(platform)
return connected
def get_home_channel(self, platform: Platform) -> Optional[HomeChannel]:
@@ -621,6 +625,11 @@ def load_gateway_config() -> GatewayConfig:
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["TELEGRAM_FREE_RESPONSE_CHATS"] = str(frc)
ignored_threads = telegram_cfg.get("ignored_threads")
if ignored_threads is not None and not os.getenv("TELEGRAM_IGNORED_THREADS"):
if isinstance(ignored_threads, list):
ignored_threads = ",".join(str(v) for v in ignored_threads)
os.environ["TELEGRAM_IGNORED_THREADS"] = str(ignored_threads)
if "reactions" in telegram_cfg and not os.getenv("TELEGRAM_REACTIONS"):
os.environ["TELEGRAM_REACTIONS"] = str(telegram_cfg["reactions"]).lower()
@@ -1109,6 +1118,32 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
name=os.getenv("BLUEBUBBLES_HOME_CHANNEL_NAME", "Home"),
)
# QQ (Official Bot API v2)
qq_app_id = os.getenv("QQ_APP_ID")
qq_client_secret = os.getenv("QQ_CLIENT_SECRET")
if qq_app_id or qq_client_secret:
if Platform.QQBOT not in config.platforms:
config.platforms[Platform.QQBOT] = PlatformConfig()
config.platforms[Platform.QQBOT].enabled = True
extra = config.platforms[Platform.QQBOT].extra
if qq_app_id:
extra["app_id"] = qq_app_id
if qq_client_secret:
extra["client_secret"] = qq_client_secret
qq_allowed_users = os.getenv("QQ_ALLOWED_USERS", "").strip()
if qq_allowed_users:
extra["allow_from"] = qq_allowed_users
qq_group_allowed = os.getenv("QQ_GROUP_ALLOWED_USERS", "").strip()
if qq_group_allowed:
extra["group_allow_from"] = qq_group_allowed
qq_home = os.getenv("QQ_HOME_CHANNEL", "").strip()
if qq_home:
config.platforms[Platform.QQBOT].home_channel = HomeChannel(
platform=Platform.QQBOT,
chat_id=qq_home,
name=os.getenv("QQ_HOME_CHANNEL_NAME", "Home"),
)
# Session settings
idle_minutes = os.getenv("SESSION_IDLE_MINUTES")
if idle_minutes:
+1 -1
View File
@@ -12,7 +12,7 @@ import logging
from pathlib import Path
from datetime import datetime
from dataclasses import dataclass
from typing import Dict, List, Optional, Any, Union
from typing import Dict, List, Optional, Any
from hermes_cli.config import get_hermes_home
+11 -23
View File
@@ -9,6 +9,10 @@ Resolution order (first non-None wins):
3. ``_PLATFORM_DEFAULTS[<platform>][<key>]`` built-in sensible default
4. ``_GLOBAL_DEFAULTS[<key>]`` built-in global default
Exception: ``display.streaming`` is CLI-only. Gateway streaming follows the
top-level ``streaming`` config unless ``display.platforms.<platform>.streaming``
sets an explicit per-platform override.
Backward compatibility: ``display.tool_progress_overrides`` is still read as a
fallback for ``tool_progress`` when no ``display.platforms`` entry exists. A
config migration (version bump) automatically moves the old format into the new
@@ -143,10 +147,13 @@ def resolve_display_setting(
if val is not None:
return _normalise(setting, val)
# 2. Global user setting (display.<key>)
val = display_cfg.get(setting)
if val is not None:
return _normalise(setting, val)
# 2. Global user setting (display.<key>). Skip display.streaming because
# that key controls only CLI terminal streaming; gateway token streaming is
# governed by the top-level streaming config plus per-platform overrides.
if setting != "streaming":
val = display_cfg.get(setting)
if val is not None:
return _normalise(setting, val)
# 3. Built-in platform default
plat_defaults = _PLATFORM_DEFAULTS.get(platform_key)
@@ -163,25 +170,6 @@ def resolve_display_setting(
return fallback
def get_platform_defaults(platform_key: str) -> dict[str, Any]:
"""Return the built-in default display settings for a platform.
Falls back to ``_GLOBAL_DEFAULTS`` for unknown platforms.
"""
return dict(_PLATFORM_DEFAULTS.get(platform_key, _GLOBAL_DEFAULTS))
def get_effective_display(user_config: dict, platform_key: str) -> dict[str, Any]:
"""Return the fully-resolved display settings for a platform.
Useful for status commands that want to show all effective settings.
"""
return {
key: resolve_display_setting(user_config, platform_key, key)
for key in OVERRIDEABLE_KEYS
}
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
+2
View File
@@ -9,9 +9,11 @@ Each adapter handles:
"""
from .base import BasePlatformAdapter, MessageEvent, SendResult
from .qqbot import QQAdapter
__all__ = [
"BasePlatformAdapter",
"MessageEvent",
"SendResult",
"QQAdapter",
]
+535 -3
View File
@@ -10,6 +10,7 @@ Exposes an HTTP server with endpoints:
- POST /v1/runs start a run, returns run_id immediately (202)
- GET /v1/runs/{run_id}/events SSE stream of structured lifecycle events
- GET /health health check
- GET /health/detailed rich status for cross-container dashboard probing
Any OpenAI-compatible frontend (Open WebUI, LobeChat, LibreChat,
AnythingLLM, NextChat, ChatBox, etc.) can connect to hermes-agent
@@ -514,6 +515,8 @@ class APIServerAdapter(BasePlatformAdapter):
session_id: Optional[str] = None,
stream_delta_callback=None,
tool_progress_callback=None,
tool_start_callback=None,
tool_complete_callback=None,
) -> Any:
"""
Create an AIAgent instance using the gateway's runtime config.
@@ -552,6 +555,8 @@ class APIServerAdapter(BasePlatformAdapter):
platform="api_server",
stream_delta_callback=stream_delta_callback,
tool_progress_callback=tool_progress_callback,
tool_start_callback=tool_start_callback,
tool_complete_callback=tool_complete_callback,
session_db=self._ensure_session_db(),
fallback_model=fallback_model,
)
@@ -565,6 +570,27 @@ class APIServerAdapter(BasePlatformAdapter):
"""GET /health — simple health check."""
return web.json_response({"status": "ok", "platform": "hermes-agent"})
async def _handle_health_detailed(self, request: "web.Request") -> "web.Response":
"""GET /health/detailed — rich status for cross-container dashboard probing.
Returns gateway state, connected platforms, PID, and uptime so the
dashboard can display full status without needing a shared PID file or
/proc access. No authentication required.
"""
from gateway.status import read_runtime_status
runtime = read_runtime_status() or {}
return web.json_response({
"status": "ok",
"platform": "hermes-agent",
"gateway_state": runtime.get("gateway_state"),
"platforms": runtime.get("platforms", {}),
"active_agents": runtime.get("active_agents", 0),
"exit_reason": runtime.get("exit_reason"),
"updated_at": runtime.get("updated_at"),
"pid": os.getpid(),
})
async def _handle_models(self, request: "web.Request") -> "web.Response":
"""GET /v1/models — return hermes-agent as an available model."""
auth_err = self._check_auth(request)
@@ -943,6 +969,427 @@ class APIServerAdapter(BasePlatformAdapter):
return response
async def _write_sse_responses(
self,
request: "web.Request",
response_id: str,
model: str,
created_at: int,
stream_q,
agent_task,
agent_ref,
conversation_history: List[Dict[str, str]],
user_message: str,
instructions: Optional[str],
conversation: Optional[str],
store: bool,
session_id: str,
) -> "web.StreamResponse":
"""Write an SSE stream for POST /v1/responses (OpenAI Responses API).
Emits spec-compliant event types as the agent runs:
- ``response.created`` initial envelope (status=in_progress)
- ``response.output_text.delta`` / ``response.output_text.done``
streamed assistant text
- ``response.output_item.added`` / ``response.output_item.done``
with ``item.type == "function_call"`` when the agent invokes a
tool (both events fire; the ``done`` event carries the finalized
``arguments`` string)
- ``response.output_item.added`` with
``item.type == "function_call_output"`` tool result with
``{call_id, output, status}``
- ``response.completed`` terminal event carrying the full
response object with all output items + usage (same payload
shape as the non-streaming path for parity)
- ``response.failed`` terminal event on agent error
If the client disconnects mid-stream, ``agent.interrupt()`` is
called so the agent stops issuing upstream LLM calls, then the
asyncio task is cancelled. When ``store=True`` the full response
is persisted to the ResponseStore in a ``finally`` block so GET
/v1/responses/{id} and ``previous_response_id`` chaining work the
same as the batch path.
"""
import queue as _q
sse_headers = {
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
}
origin = request.headers.get("Origin", "")
cors = self._cors_headers_for_origin(origin) if origin else None
if cors:
sse_headers.update(cors)
if session_id:
sse_headers["X-Hermes-Session-Id"] = session_id
response = web.StreamResponse(status=200, headers=sse_headers)
await response.prepare(request)
# State accumulated during the stream
final_text_parts: List[str] = []
# Track open function_call items by name so we can emit a matching
# ``done`` event when the tool completes. Order preserved.
pending_tool_calls: List[Dict[str, Any]] = []
# Output items we've emitted so far (used to build the terminal
# response.completed payload). Kept in the order they appeared.
emitted_items: List[Dict[str, Any]] = []
# Monotonic counter for output_index (spec requires it).
output_index = 0
# Monotonic counter for call_id generation if the agent doesn't
# provide one (it doesn't, from tool_progress_callback).
call_counter = 0
# Canonical Responses SSE events include a monotonically increasing
# sequence_number. Add it server-side for every emitted event so
# clients that validate the OpenAI event schema can parse our stream.
sequence_number = 0
# Track the assistant message item id + content index for text
# delta events — the spec ties deltas to a specific item.
message_item_id = f"msg_{uuid.uuid4().hex[:24]}"
message_output_index: Optional[int] = None
message_opened = False
async def _write_event(event_type: str, data: Dict[str, Any]) -> None:
nonlocal sequence_number
if "sequence_number" not in data:
data["sequence_number"] = sequence_number
sequence_number += 1
payload = f"event: {event_type}\ndata: {json.dumps(data)}\n\n"
await response.write(payload.encode())
def _envelope(status: str) -> Dict[str, Any]:
env: Dict[str, Any] = {
"id": response_id,
"object": "response",
"status": status,
"created_at": created_at,
"model": model,
}
return env
final_response_text = ""
agent_error: Optional[str] = None
usage: Dict[str, int] = {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0}
try:
# response.created — initial envelope, status=in_progress
created_env = _envelope("in_progress")
created_env["output"] = []
await _write_event("response.created", {
"type": "response.created",
"response": created_env,
})
last_activity = time.monotonic()
async def _open_message_item() -> None:
"""Emit response.output_item.added for the assistant message
the first time any text delta arrives."""
nonlocal message_opened, message_output_index, output_index
if message_opened:
return
message_opened = True
message_output_index = output_index
output_index += 1
item = {
"id": message_item_id,
"type": "message",
"status": "in_progress",
"role": "assistant",
"content": [],
}
await _write_event("response.output_item.added", {
"type": "response.output_item.added",
"output_index": message_output_index,
"item": item,
})
async def _emit_text_delta(delta_text: str) -> None:
await _open_message_item()
final_text_parts.append(delta_text)
await _write_event("response.output_text.delta", {
"type": "response.output_text.delta",
"item_id": message_item_id,
"output_index": message_output_index,
"content_index": 0,
"delta": delta_text,
"logprobs": [],
})
async def _emit_tool_started(payload: Dict[str, Any]) -> str:
"""Emit response.output_item.added for a function_call.
Returns the call_id so the matching completion event can
reference it. Prefer the real ``tool_call_id`` from the
agent when available; fall back to a generated call id for
safety in tests or older code paths.
"""
nonlocal output_index, call_counter
call_counter += 1
call_id = payload.get("tool_call_id") or f"call_{response_id[5:]}_{call_counter}"
args = payload.get("arguments", {})
if isinstance(args, dict):
arguments_str = json.dumps(args)
else:
arguments_str = str(args)
item = {
"id": f"fc_{uuid.uuid4().hex[:24]}",
"type": "function_call",
"status": "in_progress",
"name": payload.get("name", ""),
"call_id": call_id,
"arguments": arguments_str,
}
idx = output_index
output_index += 1
pending_tool_calls.append({
"call_id": call_id,
"name": payload.get("name", ""),
"arguments": arguments_str,
"item_id": item["id"],
"output_index": idx,
})
emitted_items.append({
"type": "function_call",
"name": payload.get("name", ""),
"arguments": arguments_str,
"call_id": call_id,
})
await _write_event("response.output_item.added", {
"type": "response.output_item.added",
"output_index": idx,
"item": item,
})
return call_id
async def _emit_tool_completed(payload: Dict[str, Any]) -> None:
"""Emit response.output_item.done (function_call) followed
by response.output_item.added (function_call_output)."""
nonlocal output_index
call_id = payload.get("tool_call_id")
result = payload.get("result", "")
pending = None
if call_id:
for i, p in enumerate(pending_tool_calls):
if p["call_id"] == call_id:
pending = pending_tool_calls.pop(i)
break
if pending is None:
# Completion without a matching start — skip to avoid
# emitting orphaned done events.
return
# function_call done
done_item = {
"id": pending["item_id"],
"type": "function_call",
"status": "completed",
"name": pending["name"],
"call_id": pending["call_id"],
"arguments": pending["arguments"],
}
await _write_event("response.output_item.done", {
"type": "response.output_item.done",
"output_index": pending["output_index"],
"item": done_item,
})
# function_call_output added (result)
result_str = result if isinstance(result, str) else json.dumps(result)
output_parts = [{"type": "input_text", "text": result_str}]
output_item = {
"id": f"fco_{uuid.uuid4().hex[:24]}",
"type": "function_call_output",
"call_id": pending["call_id"],
"output": output_parts,
"status": "completed",
}
idx = output_index
output_index += 1
emitted_items.append({
"type": "function_call_output",
"call_id": pending["call_id"],
"output": output_parts,
})
await _write_event("response.output_item.added", {
"type": "response.output_item.added",
"output_index": idx,
"item": output_item,
})
await _write_event("response.output_item.done", {
"type": "response.output_item.done",
"output_index": idx,
"item": output_item,
})
# Main drain loop — thread-safe queue fed by agent callbacks.
async def _dispatch(it) -> None:
"""Route a queue item to the correct SSE emitter.
Plain strings are text deltas. Tagged tuples with
``__tool_started__`` / ``__tool_completed__`` prefixes
are tool lifecycle events.
"""
if isinstance(it, tuple) and len(it) == 2 and isinstance(it[0], str):
tag, payload = it
if tag == "__tool_started__":
await _emit_tool_started(payload)
elif tag == "__tool_completed__":
await _emit_tool_completed(payload)
# Unknown tags are silently ignored (forward-compat).
elif isinstance(it, str):
await _emit_text_delta(it)
# Other types (non-string, non-tuple) are silently dropped.
loop = asyncio.get_event_loop()
while True:
try:
item = await loop.run_in_executor(None, lambda: stream_q.get(timeout=0.5))
except _q.Empty:
if agent_task.done():
# Drain remaining
while True:
try:
item = stream_q.get_nowait()
if item is None:
break
await _dispatch(item)
last_activity = time.monotonic()
except _q.Empty:
break
break
if time.monotonic() - last_activity >= CHAT_COMPLETIONS_SSE_KEEPALIVE_SECONDS:
await response.write(b": keepalive\n\n")
last_activity = time.monotonic()
continue
if item is None: # EOS sentinel
break
await _dispatch(item)
last_activity = time.monotonic()
# Pick up agent result + usage from the completed task
try:
result, agent_usage = await agent_task
usage = agent_usage or usage
# If the agent produced a final_response but no text
# deltas were streamed (e.g. some providers only emit
# the full response at the end), emit a single fallback
# delta so Responses clients still receive a live text part.
agent_final = result.get("final_response", "") if isinstance(result, dict) else ""
if agent_final and not final_text_parts:
await _emit_text_delta(agent_final)
if agent_final and not final_response_text:
final_response_text = agent_final
if isinstance(result, dict) and result.get("error") and not final_response_text:
agent_error = result["error"]
except Exception as e: # noqa: BLE001
logger.error("Error running agent for streaming responses: %s", e, exc_info=True)
agent_error = str(e)
# Close the message item if it was opened
final_response_text = "".join(final_text_parts) or final_response_text
if message_opened:
await _write_event("response.output_text.done", {
"type": "response.output_text.done",
"item_id": message_item_id,
"output_index": message_output_index,
"content_index": 0,
"text": final_response_text,
"logprobs": [],
})
msg_done_item = {
"id": message_item_id,
"type": "message",
"status": "completed",
"role": "assistant",
"content": [
{"type": "output_text", "text": final_response_text}
],
}
await _write_event("response.output_item.done", {
"type": "response.output_item.done",
"output_index": message_output_index,
"item": msg_done_item,
})
# Always append a final message item in the completed
# response envelope so clients that only parse the terminal
# payload still see the assistant text. This mirrors the
# shape produced by _extract_output_items in the batch path.
final_items: List[Dict[str, Any]] = list(emitted_items)
final_items.append({
"type": "message",
"role": "assistant",
"content": [
{"type": "output_text", "text": final_response_text or (agent_error or "")}
],
})
if agent_error:
failed_env = _envelope("failed")
failed_env["output"] = final_items
failed_env["error"] = {"message": agent_error, "type": "server_error"}
failed_env["usage"] = {
"input_tokens": usage.get("input_tokens", 0),
"output_tokens": usage.get("output_tokens", 0),
"total_tokens": usage.get("total_tokens", 0),
}
await _write_event("response.failed", {
"type": "response.failed",
"response": failed_env,
})
else:
completed_env = _envelope("completed")
completed_env["output"] = final_items
completed_env["usage"] = {
"input_tokens": usage.get("input_tokens", 0),
"output_tokens": usage.get("output_tokens", 0),
"total_tokens": usage.get("total_tokens", 0),
}
await _write_event("response.completed", {
"type": "response.completed",
"response": completed_env,
})
# Persist for future chaining / GET retrieval, mirroring
# the batch path behavior.
if store:
full_history = list(conversation_history)
full_history.append({"role": "user", "content": user_message})
if isinstance(result, dict) and result.get("messages"):
full_history.extend(result["messages"])
else:
full_history.append({"role": "assistant", "content": final_response_text})
self._response_store.put(response_id, {
"response": completed_env,
"conversation_history": full_history,
"instructions": instructions,
"session_id": session_id,
})
if conversation:
self._response_store.set_conversation(conversation, response_id)
except (ConnectionResetError, ConnectionAbortedError, BrokenPipeError, OSError):
# Client disconnected — interrupt the agent so it stops
# making upstream LLM calls, then cancel the task.
agent = agent_ref[0] if agent_ref else None
if agent is not None:
try:
agent.interrupt("SSE client disconnected")
except Exception:
pass
if not agent_task.done():
agent_task.cancel()
try:
await agent_task
except (asyncio.CancelledError, Exception):
pass
logger.info("SSE client disconnected; interrupted agent task %s", response_id)
return response
async def _handle_responses(self, request: "web.Request") -> "web.Response":
"""POST /v1/responses — OpenAI Responses API format."""
auth_err = self._check_auth(request)
@@ -1013,11 +1460,13 @@ class APIServerAdapter(BasePlatformAdapter):
if previous_response_id:
logger.debug("Both conversation_history and previous_response_id provided; using conversation_history")
stored_session_id = None
if not conversation_history and previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored is None:
return web.json_response(_openai_error(f"Previous response not found: {previous_response_id}"), status=404)
conversation_history = list(stored.get("conversation_history", []))
stored_session_id = stored.get("session_id")
# If no instructions provided, carry forward from previous
if instructions is None:
instructions = stored.get("instructions")
@@ -1035,8 +1484,83 @@ class APIServerAdapter(BasePlatformAdapter):
if body.get("truncation") == "auto" and len(conversation_history) > 100:
conversation_history = conversation_history[-100:]
# Run the agent (with Idempotency-Key support)
session_id = str(uuid.uuid4())
# Reuse session from previous_response_id chain so the dashboard
# groups the entire conversation under one session entry.
session_id = stored_session_id or str(uuid.uuid4())
stream = bool(body.get("stream", False))
if stream:
# Streaming branch — emit OpenAI Responses SSE events as the
# agent runs so frontends can render text deltas and tool
# calls in real time. See _write_sse_responses for details.
import queue as _q
_stream_q: _q.Queue = _q.Queue()
def _on_delta(delta):
# None from the agent is a CLI box-close signal, not EOS.
# Forwarding would kill the SSE stream prematurely; the
# SSE writer detects completion via agent_task.done().
if delta is not None:
_stream_q.put(delta)
def _on_tool_progress(event_type, name, preview, args, **kwargs):
"""Queue non-start tool progress events if needed in future.
The structured Responses stream uses ``tool_start_callback``
and ``tool_complete_callback`` for exact call-id correlation,
so progress events are currently ignored here.
"""
return
def _on_tool_start(tool_call_id, function_name, function_args):
"""Queue a started tool for live function_call streaming."""
_stream_q.put(("__tool_started__", {
"tool_call_id": tool_call_id,
"name": function_name,
"arguments": function_args or {},
}))
def _on_tool_complete(tool_call_id, function_name, function_args, function_result):
"""Queue a completed tool result for live function_call_output streaming."""
_stream_q.put(("__tool_completed__", {
"tool_call_id": tool_call_id,
"name": function_name,
"arguments": function_args or {},
"result": function_result,
}))
agent_ref = [None]
agent_task = asyncio.ensure_future(self._run_agent(
user_message=user_message,
conversation_history=conversation_history,
ephemeral_system_prompt=instructions,
session_id=session_id,
stream_delta_callback=_on_delta,
tool_progress_callback=_on_tool_progress,
tool_start_callback=_on_tool_start,
tool_complete_callback=_on_tool_complete,
agent_ref=agent_ref,
))
response_id = f"resp_{uuid.uuid4().hex[:28]}"
model_name = body.get("model", self._model_name)
created_at = int(time.time())
return await self._write_sse_responses(
request=request,
response_id=response_id,
model=model_name,
created_at=created_at,
stream_q=_stream_q,
agent_task=agent_task,
agent_ref=agent_ref,
conversation_history=conversation_history,
user_message=user_message,
instructions=instructions,
conversation=conversation,
store=store,
session_id=session_id,
)
async def _compute_response():
return await self._run_agent(
@@ -1111,6 +1635,7 @@ class APIServerAdapter(BasePlatformAdapter):
"response": response_data,
"conversation_history": full_history,
"instructions": instructions,
"session_id": session_id,
})
# Update conversation mapping so the next request with the same
# conversation name automatically chains to this response
@@ -1464,6 +1989,8 @@ class APIServerAdapter(BasePlatformAdapter):
session_id: Optional[str] = None,
stream_delta_callback=None,
tool_progress_callback=None,
tool_start_callback=None,
tool_complete_callback=None,
agent_ref: Optional[list] = None,
) -> tuple:
"""
@@ -1485,6 +2012,8 @@ class APIServerAdapter(BasePlatformAdapter):
session_id=session_id,
stream_delta_callback=stream_delta_callback,
tool_progress_callback=tool_progress_callback,
tool_start_callback=tool_start_callback,
tool_complete_callback=tool_complete_callback,
)
if agent_ref is not None:
agent_ref[0] = agent
@@ -1621,10 +2150,12 @@ class APIServerAdapter(BasePlatformAdapter):
if previous_response_id:
logger.debug("Both conversation_history and previous_response_id provided; using conversation_history")
stored_session_id = None
if not conversation_history and previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored:
conversation_history = list(stored.get("conversation_history", []))
stored_session_id = stored.get("session_id")
if instructions is None:
instructions = stored.get("instructions")
@@ -1643,7 +2174,7 @@ class APIServerAdapter(BasePlatformAdapter):
)
conversation_history.append({"role": msg["role"], "content": str(content)})
session_id = body.get("session_id") or run_id
session_id = body.get("session_id") or stored_session_id or run_id
ephemeral_system_prompt = instructions
async def _run_and_close():
@@ -1783,6 +2314,7 @@ class APIServerAdapter(BasePlatformAdapter):
self._app = web.Application(middlewares=mws)
self._app["api_server_adapter"] = self
self._app.router.add_get("/health", self._handle_health)
self._app.router.add_get("/health/detailed", self._handle_health_detailed)
self._app.router.add_get("/v1/health", self._handle_health)
self._app.router.add_get("/v1/models", self._handle_models)
self._app.router.add_post("/v1/chat/completions", self._handle_chat_completions)
+15
View File
@@ -1624,6 +1624,21 @@ class BasePlatformAdapter(ABC):
# streaming already delivered the text (already_sent=True) or
# when the message was queued behind an active agent. Log at
# DEBUG to avoid noisy warnings for expected behavior.
#
# Suppress stale response when the session was interrupted by a
# new message that hasn't been consumed yet. The pending message
# is processed by the pending-message handler below (#8221/#2483).
if (
response
and interrupt_event.is_set()
and session_key in self._pending_messages
):
logger.info(
"[%s] Suppressing stale response for interrupted session %s",
self.name,
session_key,
)
response = None
if not response:
logger.debug("[%s] Handler returned empty/None response for %s", self.name, event.source.chat_id)
if response:
+24 -32
View File
@@ -224,6 +224,21 @@ class BlueBubblesAdapter(BasePlatformAdapter):
host = "localhost"
return f"http://{host}:{self.webhook_port}{self.webhook_path}"
@property
def _webhook_register_url(self) -> str:
"""Webhook URL registered with BlueBubbles, including the password as
a query param so inbound webhook POSTs carry credentials.
BlueBubbles posts events to the exact URL registered via
``/api/v1/webhook``. Its webhook registration API does not support
custom headers, so embedding the password in the URL is the only
way to authenticate inbound webhooks without disabling auth.
"""
base = self._webhook_url
if self.password:
return f"{base}?password={quote(self.password, safe='')}"
return base
async def _find_registered_webhooks(self, url: str) -> list:
"""Return list of BB webhook entries matching *url*."""
try:
@@ -245,7 +260,7 @@ class BlueBubblesAdapter(BasePlatformAdapter):
if not self.client:
return False
webhook_url = self._webhook_url
webhook_url = self._webhook_register_url
# Crash resilience — reuse an existing registration if present
existing = await self._find_registered_webhooks(webhook_url)
@@ -257,7 +272,7 @@ class BlueBubblesAdapter(BasePlatformAdapter):
payload = {
"url": webhook_url,
"events": ["new-message", "updated-message", "message"],
"events": ["new-message", "updated-message"],
}
try:
@@ -292,7 +307,7 @@ class BlueBubblesAdapter(BasePlatformAdapter):
if not self.client:
return False
webhook_url = self._webhook_url
webhook_url = self._webhook_register_url
removed = False
try:
@@ -604,35 +619,6 @@ class BlueBubblesAdapter(BasePlatformAdapter):
# Tapback reactions
# ------------------------------------------------------------------
async def send_reaction(
self,
chat_id: str,
message_guid: str,
reaction: str,
part_index: int = 0,
) -> SendResult:
"""Send a tapback reaction (requires Private API helper)."""
if not self._private_api_enabled or not self._helper_connected:
return SendResult(
success=False, error="Private API helper not connected"
)
guid = await self._resolve_chat_guid(chat_id)
if not guid:
return SendResult(success=False, error=f"Chat not found: {chat_id}")
try:
res = await self._api_post(
"/api/v1/message/react",
{
"chatGuid": guid,
"selectedMessageGuid": message_guid,
"reaction": reaction,
"partIndex": part_index,
},
)
return SendResult(success=True, raw_response=res)
except Exception as exc:
return SendResult(success=False, error=str(exc))
# ------------------------------------------------------------------
# Chat info
# ------------------------------------------------------------------
@@ -864,6 +850,12 @@ class BlueBubblesAdapter(BasePlatformAdapter):
payload.get("chat_guid"),
payload.get("guid"),
)
# Fallback: BlueBubbles v1.9+ webhook payloads omit top-level chatGuid;
# the chat GUID is nested under data.chats[0].guid instead.
if not chat_guid:
_chats = record.get("chats") or []
if _chats and isinstance(_chats[0], dict):
chat_guid = _chats[0].get("guid") or _chats[0].get("chatGuid")
chat_identifier = self._value(
record.get("chatIdentifier"),
record.get("identifier"),
-1
View File
@@ -21,7 +21,6 @@ import asyncio
import logging
import os
import re
import time
import uuid
from datetime import datetime, timezone
from typing import Any, Dict, Optional
+145 -28
View File
@@ -10,7 +10,6 @@ Uses discord.py library for:
"""
import asyncio
import json
import logging
import os
import struct
@@ -19,7 +18,6 @@ import tempfile
import threading
import time
from collections import defaultdict
from pathlib import Path
from typing import Callable, Dict, Optional, Any
logger = logging.getLogger(__name__)
@@ -1381,6 +1379,68 @@ class DiscordAdapter(BasePlatformAdapter):
)
return await super().send_image(chat_id, image_url, caption, reply_to)
async def send_animation(
self,
chat_id: str,
animation_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an animated GIF natively as a Discord file attachment."""
if not self._client:
return SendResult(success=False, error="Not connected")
if not is_safe_url(animation_url):
logger.warning("[%s] Blocked unsafe animation URL during Discord send_animation", self.name)
return await super().send_animation(chat_id, animation_url, caption, reply_to, metadata=metadata)
try:
import aiohttp
channel = self._client.get_channel(int(chat_id))
if not channel:
channel = await self._client.fetch_channel(int(chat_id))
if not channel:
return SendResult(success=False, error=f"Channel {chat_id} not found")
# Download the GIF and send as a Discord file attachment
# (Discord renders .gif attachments as auto-playing animations inline)
from gateway.platforms.base import resolve_proxy_url, proxy_kwargs_for_aiohttp
_proxy = resolve_proxy_url(platform_env_var="DISCORD_PROXY")
_sess_kw, _req_kw = proxy_kwargs_for_aiohttp(_proxy)
async with aiohttp.ClientSession(**_sess_kw) as session:
async with session.get(animation_url, timeout=aiohttp.ClientTimeout(total=30), **_req_kw) as resp:
if resp.status != 200:
raise Exception(f"Failed to download animation: HTTP {resp.status}")
animation_data = await resp.read()
import io
file = discord.File(io.BytesIO(animation_data), filename="animation.gif")
msg = await channel.send(
content=caption if caption else None,
file=file,
)
return SendResult(success=True, message_id=str(msg.id))
except ImportError:
logger.warning(
"[%s] aiohttp not installed, falling back to URL. Run: pip install aiohttp",
self.name,
exc_info=True,
)
return await super().send_animation(chat_id, animation_url, caption, reply_to, metadata=metadata)
except Exception as e: # pragma: no cover - defensive logging
logger.error(
"[%s] Failed to send animation attachment, falling back to URL: %s",
self.name,
e,
exc_info=True,
)
return await super().send_animation(chat_id, animation_url, caption, reply_to, metadata=metadata)
async def send_video(
self,
chat_id: str,
@@ -1698,6 +1758,10 @@ class DiscordAdapter(BasePlatformAdapter):
async def slash_update(interaction: discord.Interaction):
await self._run_simple_slash(interaction, "/update", "Update initiated~")
@tree.command(name="restart", description="Gracefully restart the Hermes gateway")
async def slash_restart(interaction: discord.Interaction):
await self._run_simple_slash(interaction, "/restart", "Restart requested~")
@tree.command(name="approve", description="Approve a pending dangerous command")
@discord.app_commands.describe(scope="Optional: 'all', 'session', 'always', 'all session', 'all always'")
async def slash_approve(interaction: discord.Interaction, scope: str = ""):
@@ -1738,46 +1802,90 @@ class DiscordAdapter(BasePlatformAdapter):
async def slash_btw(interaction: discord.Interaction, question: str):
await self._run_simple_slash(interaction, f"/btw {question}")
# Register installed skills as native slash commands (parity with
# Telegram, which uses telegram_menu_commands() in commands.py).
# Discord allows up to 100 application commands globally.
_DISCORD_CMD_LIMIT = 100
# Register skills under a single /skill command group with category
# subcommand groups. This uses 1 top-level slot instead of N,
# supporting up to 25 categories × 25 skills = 625 skills.
self._register_skill_group(tree)
def _register_skill_group(self, tree) -> None:
"""Register a ``/skill`` command group with category subcommand groups.
Skills are organized by their directory category under ``SKILLS_DIR``.
Each category becomes a subcommand group; root-level skills become
direct subcommands. Discord supports 25 subcommand groups × 25
subcommands each = 625 skills well beyond the old 100-command cap.
"""
try:
from hermes_cli.commands import discord_skill_commands
from hermes_cli.commands import discord_skill_commands_by_category
existing_names = {cmd.name for cmd in tree.get_commands()}
remaining_slots = max(0, _DISCORD_CMD_LIMIT - len(existing_names))
existing_names = set()
try:
existing_names = {cmd.name for cmd in tree.get_commands()}
except Exception:
pass
skill_entries, skipped = discord_skill_commands(
max_slots=remaining_slots,
categories, uncategorized, hidden = discord_skill_commands_by_category(
reserved_names=existing_names,
)
for discord_name, description, cmd_key in skill_entries:
# Closure factory to capture cmd_key per iteration
def _make_skill_handler(_key: str):
async def _skill_slash(interaction: discord.Interaction, args: str = ""):
await self._run_simple_slash(interaction, f"{_key} {args}".strip())
return _skill_slash
if not categories and not uncategorized:
return
handler = _make_skill_handler(cmd_key)
handler.__name__ = f"skill_{discord_name.replace('-', '_')}"
skill_group = discord.app_commands.Group(
name="skill",
description="Run a Hermes skill",
)
# ── Helper: build a callback for a skill command key ──
def _make_handler(_key: str):
@discord.app_commands.describe(args="Optional arguments for the skill")
async def _handler(interaction: discord.Interaction, args: str = ""):
await self._run_simple_slash(interaction, f"{_key} {args}".strip())
_handler.__name__ = f"skill_{_key.lstrip('/').replace('-', '_')}"
return _handler
# ── Uncategorized (root-level) skills → direct subcommands ──
for discord_name, description, cmd_key in uncategorized:
cmd = discord.app_commands.Command(
name=discord_name,
description=description,
callback=handler,
description=description or f"Run the {discord_name} skill",
callback=_make_handler(cmd_key),
)
discord.app_commands.describe(args="Optional arguments for the skill")(cmd)
tree.add_command(cmd)
skill_group.add_command(cmd)
if skipped:
# ── Category subcommand groups ──
for cat_name in sorted(categories):
cat_desc = f"{cat_name.replace('-', ' ').title()} skills"
if len(cat_desc) > 100:
cat_desc = cat_desc[:97] + "..."
cat_group = discord.app_commands.Group(
name=cat_name,
description=cat_desc,
parent=skill_group,
)
for discord_name, description, cmd_key in categories[cat_name]:
cmd = discord.app_commands.Command(
name=discord_name,
description=description or f"Run the {discord_name} skill",
callback=_make_handler(cmd_key),
)
cat_group.add_command(cmd)
tree.add_command(skill_group)
total = sum(len(v) for v in categories.values()) + len(uncategorized)
logger.info(
"[%s] Registered /skill group: %d skill(s) across %d categories"
" + %d uncategorized",
self.name, total, len(categories), len(uncategorized),
)
if hidden:
logger.warning(
"[%s] Discord slash command limit reached (%d): %d skill(s) not registered",
self.name, _DISCORD_CMD_LIMIT, skipped,
"[%s] %d skill(s) not registered (Discord subcommand limits)",
self.name, hidden,
)
except Exception as exc:
logger.warning("[%s] Failed to register skill slash commands: %s", self.name, exc)
logger.warning("[%s] Failed to register /skill group: %s", self.name, exc)
def _build_slash_event(self, interaction: discord.Interaction, text: str) -> MessageEvent:
"""Build a MessageEvent from a Discord slash command interaction."""
@@ -2476,6 +2584,14 @@ class DiscordAdapter(BasePlatformAdapter):
_parent_id = str(getattr(_chan, "parent_id", "") or "")
_chan_id = str(getattr(_chan, "id", ""))
_skills = self._resolve_channel_skills(_chan_id, _parent_id or None)
reply_to_id = None
reply_to_text = None
if message.reference:
reply_to_id = str(message.reference.message_id)
if message.reference.resolved:
reply_to_text = getattr(message.reference.resolved, "content", None) or None
event = MessageEvent(
text=event_text,
message_type=msg_type,
@@ -2484,7 +2600,8 @@ class DiscordAdapter(BasePlatformAdapter):
message_id=str(message.id),
media_urls=media_urls,
media_types=media_types,
reply_to_message_id=str(message.reference.message_id) if message.reference else None,
reply_to_message_id=reply_to_id,
reply_to_text=reply_to_text,
timestamp=message.created_at,
auto_skill=_skills,
)
+109 -87
View File
@@ -72,7 +72,10 @@ try:
UpdateMessageRequestBody,
)
from lark_oapi.core.const import FEISHU_DOMAIN, LARK_DOMAIN
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
from lark_oapi.event.callback.model.p2_card_action_trigger import (
CallBackCard,
P2CardActionTriggerResponse,
)
from lark_oapi.event.dispatcher_handler import EventDispatcherHandler
from lark_oapi.ws import Client as FeishuWSClient
@@ -80,6 +83,7 @@ try:
except ImportError:
FEISHU_AVAILABLE = False
lark = None # type: ignore[assignment]
CallBackCard = None # type: ignore[assignment]
P2CardActionTriggerResponse = None # type: ignore[assignment]
EventDispatcherHandler = None # type: ignore[assignment]
FeishuWSClient = None # type: ignore[assignment]
@@ -169,6 +173,19 @@ _FEISHU_WEBHOOK_BODY_TIMEOUT_SECONDS = 30 # max seconds to read request
_FEISHU_WEBHOOK_ANOMALY_THRESHOLD = 25 # consecutive error responses before WARNING log
_FEISHU_WEBHOOK_ANOMALY_TTL_SECONDS = 6 * 60 * 60 # anomaly tracker TTL (6 hours) — matches openclaw
_FEISHU_CARD_ACTION_DEDUP_TTL_SECONDS = 15 * 60 # card action token dedup window (15 min)
_APPROVAL_CHOICE_MAP: Dict[str, str] = {
"approve_once": "once",
"approve_session": "session",
"approve_always": "always",
"deny": "deny",
}
_APPROVAL_LABEL_MAP: Dict[str, str] = {
"once": "Approved once",
"session": "Approved for session",
"always": "Approved permanently",
"deny": "Denied",
}
_FEISHU_BOT_MSG_TRACK_SIZE = 512 # LRU size for tracking sent message IDs
_FEISHU_REPLY_FALLBACK_CODES = frozenset({230011, 231003}) # reply target withdrawn/missing → create fallback
_FEISHU_ACK_EMOJI = "OK"
@@ -430,14 +447,6 @@ def _build_markdown_post_payload(content: str) -> str:
)
def parse_feishu_post_content(raw_content: str) -> FeishuPostParseResult:
try:
parsed = json.loads(raw_content) if raw_content else {}
except json.JSONDecodeError:
return FeishuPostParseResult(text_content=FALLBACK_POST_TEXT)
return parse_feishu_post_payload(parsed)
def parse_feishu_post_payload(payload: Any) -> FeishuPostParseResult:
resolved = _resolve_post_payload(payload)
if not resolved:
@@ -1498,14 +1507,12 @@ class FeishuAdapter(BasePlatformAdapter):
logger.warning("[Feishu] send_exec_approval failed: %s", exc)
return SendResult(success=False, error=str(exc))
async def _update_approval_card(
self, message_id: str, label: str, user_name: str, choice: str,
) -> None:
"""Replace the approval card with a resolved status card."""
if not self._client or not message_id:
return
@staticmethod
def _build_resolved_approval_card(*, choice: str, user_name: str) -> Dict[str, Any]:
"""Build raw card JSON for a resolved approval action."""
icon = "" if choice == "deny" else ""
card = {
label = _APPROVAL_LABEL_MAP.get(choice, "Resolved")
return {
"config": {"wide_screen_mode": True},
"header": {
"title": {"content": f"{icon} {label}", "tag": "plain_text"},
@@ -1518,13 +1525,6 @@ class FeishuAdapter(BasePlatformAdapter):
},
],
}
try:
payload = json.dumps(card, ensure_ascii=False)
body = self._build_update_message_body(msg_type="interactive", content=payload)
request = self._build_update_message_request(message_id=message_id, request_body=body)
await asyncio.to_thread(self._client.im.v1.message.update, request)
except Exception as exc:
logger.warning("[Feishu] Failed to update approval card %s: %s", message_id, exc)
async def send_voice(
self,
@@ -1853,20 +1853,82 @@ class FeishuAdapter(BasePlatformAdapter):
future.add_done_callback(self._log_background_failure)
def _on_card_action_trigger(self, data: Any) -> Any:
"""Schedule Feishu card actions on the adapter loop and acknowledge immediately."""
"""Handle card-action callback from the Feishu SDK (synchronous).
For approval actions: parses the event once, returns the resolved card
inline (the only reliable way to sync all clients), and schedules a
lightweight async method to actually unblock the agent.
For other card actions: delegates to ``_handle_card_action_event``.
"""
loop = self._loop
if loop is None or bool(getattr(loop, "is_closed", lambda: False)()):
if not self._loop_accepts_callbacks(loop):
logger.warning("[Feishu] Dropping card action before adapter loop is ready")
else:
future = asyncio.run_coroutine_threadsafe(
self._handle_card_action_event(data),
loop,
)
future.add_done_callback(self._log_background_failure)
return P2CardActionTriggerResponse() if P2CardActionTriggerResponse else None
event = getattr(data, "event", None)
action = getattr(event, "action", None)
action_value = getattr(action, "value", {}) or {}
hermes_action = action_value.get("hermes_action") if isinstance(action_value, dict) else None
if hermes_action:
return self._handle_approval_card_action(event=event, action_value=action_value, loop=loop)
self._submit_on_loop(loop, self._handle_card_action_event(data))
if P2CardActionTriggerResponse is None:
return None
return P2CardActionTriggerResponse()
@staticmethod
def _loop_accepts_callbacks(loop: Any) -> bool:
"""Return True when the adapter loop can accept thread-safe submissions."""
return loop is not None and not bool(getattr(loop, "is_closed", lambda: False)())
def _submit_on_loop(self, loop: Any, coro: Any) -> None:
"""Schedule background work on the adapter loop with shared failure logging."""
future = asyncio.run_coroutine_threadsafe(coro, loop)
future.add_done_callback(self._log_background_failure)
def _handle_approval_card_action(self, *, event: Any, action_value: Dict[str, Any], loop: Any) -> Any:
"""Schedule approval resolution and build the synchronous callback response."""
approval_id = action_value.get("approval_id")
if approval_id is None:
logger.debug("[Feishu] Card action missing approval_id, ignoring")
return P2CardActionTriggerResponse() if P2CardActionTriggerResponse else None
choice = _APPROVAL_CHOICE_MAP.get(action_value.get("hermes_action"), "deny")
operator = getattr(event, "operator", None)
open_id = str(getattr(operator, "open_id", "") or "")
user_name = self._get_cached_sender_name(open_id) or open_id
self._submit_on_loop(loop, self._resolve_approval(approval_id, choice, user_name))
if P2CardActionTriggerResponse is None:
return None
response = P2CardActionTriggerResponse()
if CallBackCard is not None:
card = CallBackCard()
card.type = "raw"
card.data = self._build_resolved_approval_card(choice=choice, user_name=user_name)
response.card = card
return response
async def _resolve_approval(self, approval_id: Any, choice: str, user_name: str) -> None:
"""Pop approval state and unblock the waiting agent thread."""
state = self._approval_state.pop(approval_id, None)
if not state:
logger.debug("[Feishu] Approval %s already resolved or unknown", approval_id)
return
try:
from tools.approval import resolve_gateway_approval
count = resolve_gateway_approval(state["session_key"], choice)
logger.info(
"Feishu button resolved %d approval(s) for session %s (choice=%s, user=%s)",
count, state["session_key"], choice, user_name,
)
except Exception as exc:
logger.error("Failed to resolve gateway approval from Feishu button: %s", exc)
async def _handle_reaction_event(self, event_type: str, data: Any) -> None:
"""Fetch the reacted-to message; if it was sent by this bot, emit a synthetic text event."""
if not self._client:
@@ -1958,51 +2020,6 @@ class FeishuAdapter(BasePlatformAdapter):
action_tag = str(getattr(action, "tag", "") or "button")
action_value = getattr(action, "value", {}) or {}
# --- Exec approval button intercept ---
hermes_action = action_value.get("hermes_action") if isinstance(action_value, dict) else None
if hermes_action:
approval_id = action_value.get("approval_id")
state = self._approval_state.pop(approval_id, None)
if not state:
logger.debug("[Feishu] Approval %s already resolved or unknown", approval_id)
return
choice_map = {
"approve_once": "once",
"approve_session": "session",
"approve_always": "always",
"deny": "deny",
}
choice = choice_map.get(hermes_action, "deny")
label_map = {
"once": "Approved once",
"session": "Approved for session",
"always": "Approved permanently",
"deny": "Denied",
}
label = label_map.get(choice, "Resolved")
# Resolve sender name for the status card
sender_id = SimpleNamespace(open_id=open_id, user_id=None, union_id=None)
sender_profile = await self._resolve_sender_profile(sender_id)
user_name = sender_profile.get("user_name") or open_id
# Resolve the approval — unblocks the agent thread
try:
from tools.approval import resolve_gateway_approval
count = resolve_gateway_approval(state["session_key"], choice)
logger.info(
"Feishu button resolved %d approval(s) for session %s (choice=%s, user=%s)",
count, state["session_key"], choice, user_name,
)
except Exception as exc:
logger.error("Failed to resolve gateway approval from Feishu button: %s", exc)
# Update the card to show the decision
await self._update_approval_card(state.get("message_id", ""), label, user_name, choice)
return
synthetic_text = f"/card {action_tag}"
if action_value:
try:
@@ -2688,12 +2705,6 @@ class FeishuAdapter(BasePlatformAdapter):
return self._resolve_media_message_type(media_types[0] if media_types else "", default=MessageType.DOCUMENT)
return MessageType.TEXT
def _normalize_inbound_text(self, text: str) -> str:
"""Strip Feishu mention placeholders from inbound text."""
text = _MENTION_RE.sub(" ", text or "")
text = _MULTISPACE_RE.sub(" ", text)
return text.strip()
async def _maybe_extract_text_document(self, cached_path: str, media_type: str) -> str:
if not cached_path or not media_type.startswith("text/"):
return ""
@@ -2911,6 +2922,19 @@ class FeishuAdapter(BasePlatformAdapter):
"user_id_alt": union_id,
}
def _get_cached_sender_name(self, sender_id: Optional[str]) -> Optional[str]:
"""Return a cached sender name only while its TTL is still valid."""
if not sender_id:
return None
cached = self._sender_name_cache.get(sender_id)
if cached is None:
return None
name, expire_at = cached
if time.time() < expire_at:
return name
self._sender_name_cache.pop(sender_id, None)
return None
async def _resolve_sender_name_from_api(self, sender_id: Optional[str]) -> Optional[str]:
"""Fetch the sender's display name from the Feishu contact API with a 10-minute cache.
@@ -2923,11 +2947,9 @@ class FeishuAdapter(BasePlatformAdapter):
if not trimmed:
return None
now = time.time()
cached = self._sender_name_cache.get(trimmed)
if cached is not None:
name, expire_at = cached
if now < expire_at:
return name
cached_name = self._get_cached_sender_name(trimmed)
if cached_name is not None:
return cached_name
try:
from lark_oapi.api.contact.v3 import GetUserRequest # lazy import
if trimmed.startswith("ou_"):
+18 -59
View File
@@ -25,7 +25,6 @@ Environment variables:
from __future__ import annotations
import asyncio
import json
import logging
import mimetypes
import os
@@ -730,6 +729,14 @@ class MatrixAdapter(BasePlatformAdapter):
except Exception:
pass
async def stop_typing(self, chat_id: str) -> None:
"""Stop the Matrix typing indicator."""
if self._client:
try:
await self._client.set_typing(RoomID(chat_id), timeout=0)
except Exception:
pass
async def edit_message(
self, chat_id: str, message_id: str, content: str
) -> SendResult:
@@ -959,6 +966,16 @@ class MatrixAdapter(BasePlatformAdapter):
sync_data = await client.sync(
since=next_batch, timeout=30000,
)
# nio returns SyncError objects (not exceptions) for auth
# failures like M_UNKNOWN_TOKEN. Detect and stop immediately.
_sync_msg = getattr(sync_data, "message", None)
if _sync_msg and isinstance(_sync_msg, str):
_lower = _sync_msg.lower()
if "m_unknown_token" in _lower or "unknown_token" in _lower:
logger.error("Matrix: permanent auth error from sync: %s — stopping", _sync_msg)
return
if isinstance(sync_data, dict):
# Update joined rooms from sync response.
rooms_join = sync_data.get("rooms", {}).get("join", {})
@@ -1612,52 +1629,6 @@ class MatrixAdapter(BasePlatformAdapter):
logger.warning("Matrix: redact error: %s", exc)
return False
# ------------------------------------------------------------------
# Room history
# ------------------------------------------------------------------
async def fetch_room_history(
self,
room_id: str,
limit: int = 50,
start: str = "",
) -> list:
"""Fetch recent messages from a room."""
if not self._client:
return []
try:
resp = await self._client.get_messages(
RoomID(room_id),
direction=PaginationDirection.BACKWARD,
from_token=SyncToken(start) if start else None,
limit=limit,
)
except Exception as exc:
logger.warning("Matrix: get_messages failed for %s: %s", room_id, exc)
return []
if not resp:
return []
events = getattr(resp, "chunk", []) or (resp.get("chunk", []) if isinstance(resp, dict) else [])
messages = []
for event in reversed(events):
body = ""
content = getattr(event, "content", None)
if content:
if hasattr(content, "body"):
body = content.body or ""
elif isinstance(content, dict):
body = content.get("body", "")
messages.append({
"event_id": str(getattr(event, "event_id", "")),
"sender": str(getattr(event, "sender", "")),
"body": body,
"timestamp": getattr(event, "timestamp", 0) or getattr(event, "server_timestamp", 0),
"type": type(event).__name__,
})
return messages
# ------------------------------------------------------------------
# Room creation & management
# ------------------------------------------------------------------
@@ -1761,18 +1732,6 @@ class MatrixAdapter(BasePlatformAdapter):
except Exception as exc:
return SendResult(success=False, error=str(exc))
async def send_emote(
self, chat_id: str, text: str, metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an emote message (/me style action)."""
return await self._send_simple_message(chat_id, text, "m.emote")
async def send_notice(
self, chat_id: str, text: str, metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send a notice message (bot-appropriate, non-alerting)."""
return await self._send_simple_message(chat_id, text, "m.notice")
# ------------------------------------------------------------------
# Helpers
# ------------------------------------------------------------------
File diff suppressed because it is too large Load Diff
-16
View File
@@ -17,7 +17,6 @@ import json
import logging
import os
import random
import re
import time
from datetime import datetime, timezone
from pathlib import Path
@@ -781,21 +780,6 @@ class SignalAdapter(BasePlatformAdapter):
# Typing Indicators
# ------------------------------------------------------------------
async def _start_typing_indicator(self, chat_id: str) -> None:
"""Start a typing indicator loop for a chat."""
if chat_id in self._typing_tasks:
return # Already running
async def _typing_loop():
try:
while True:
await self.send_typing(chat_id)
await asyncio.sleep(TYPING_INTERVAL)
except asyncio.CancelledError:
pass
self._typing_tasks[chat_id] = asyncio.create_task(_typing_loop())
async def _stop_typing_indicator(self, chat_id: str) -> None:
"""Stop a typing indicator loop for a chat."""
task = self._typing_tasks.pop(chat_id, None)
+41 -2
View File
@@ -1916,9 +1916,20 @@ class TelegramAdapter(BasePlatformAdapter):
)
# 9) Convert blockquotes: > at line start → protect > from escaping
# Handle both regular blockquotes (> text) and expandable blockquotes
# (Telegram MarkdownV2: **> for expandable start, || to end the quote)
def _convert_blockquote(m):
prefix = m.group(1) # >, >>, >>>, **>, or **>> etc.
content = m.group(2)
# Check if content ends with || (expandable blockquote end marker)
# In this case, preserve the trailing || unescaped for Telegram
if prefix.startswith('**') and content.endswith('||'):
return _ph(f'{prefix} {_escape_mdv2(content[:-2])}||')
return _ph(f'{prefix} {_escape_mdv2(content)}')
text = re.sub(
r'^(>{1,3}) (.+)$',
lambda m: _ph(m.group(1) + ' ' + _escape_mdv2(m.group(2))),
r'^((?:\*\*)?>{1,3}) (.+)$',
_convert_blockquote,
text,
flags=re.MULTILINE,
)
@@ -1991,6 +2002,27 @@ class TelegramAdapter(BasePlatformAdapter):
return {str(part).strip() for part in raw if str(part).strip()}
return {part.strip() for part in str(raw).split(",") if part.strip()}
def _telegram_ignored_threads(self) -> set[int]:
raw = self.config.extra.get("ignored_threads")
if raw is None:
raw = os.getenv("TELEGRAM_IGNORED_THREADS", "")
if isinstance(raw, list):
values = raw
else:
values = str(raw).split(",")
ignored: set[int] = set()
for value in values:
text = str(value).strip()
if not text:
continue
try:
ignored.add(int(text))
except (TypeError, ValueError):
logger.warning("[%s] Ignoring invalid Telegram thread id: %r", self.name, value)
return ignored
def _compile_mention_patterns(self) -> List[re.Pattern]:
"""Compile optional regex wake-word patterns for group triggers."""
patterns = self.config.extra.get("mention_patterns")
@@ -2102,6 +2134,13 @@ class TelegramAdapter(BasePlatformAdapter):
"""
if not self._is_group_chat(message):
return True
thread_id = getattr(message, "message_thread_id", None)
if thread_id is not None:
try:
if int(thread_id) in self._telegram_ignored_threads():
return False
except (TypeError, ValueError):
logger.warning("[%s] Ignoring non-numeric Telegram message_thread_id: %r", self.name, thread_id)
if str(getattr(getattr(message, "chat", None), "id", "")) in self._telegram_free_response_chats():
return True
if not self._telegram_require_mention():
-1
View File
@@ -12,7 +12,6 @@ from __future__ import annotations
import asyncio
import ipaddress
import logging
import os
import socket
from typing import Iterable, Optional
+1 -1
View File
@@ -27,7 +27,6 @@ import hashlib
import hmac
import json
import logging
import os
import re
import subprocess
import time
@@ -204,6 +203,7 @@ class WebhookAdapter(BasePlatformAdapter):
"wecom_callback",
"weixin",
"bluebubbles",
"qqbot",
):
return await self._deliver_cross_platform(
deliver_type, content, delivery
-1
View File
@@ -37,7 +37,6 @@ import logging
import mimetypes
import os
import re
import time
import uuid
from datetime import datetime, timezone
from pathlib import Path
+701 -60
View File
@@ -573,6 +573,7 @@ class GatewayRunner:
self._running_agents: Dict[str, Any] = {}
self._running_agents_ts: Dict[str, float] = {} # start timestamp per session
self._pending_messages: Dict[str, str] = {} # Queued messages during interrupt
self._busy_ack_ts: Dict[str, float] = {} # last busy-ack timestamp per session (debounce)
# Cache AIAgent instances per session to preserve prompt caching.
# Without this, a new AIAgent is created per message, rebuilding the
@@ -1329,26 +1330,100 @@ class GatewayRunner:
merge_pending_message_event(adapter._pending_messages, session_key, event)
async def _handle_active_session_busy_message(self, event: MessageEvent, session_key: str) -> bool:
if not self._draining:
return False
# --- Draining case (gateway restarting/stopping) ---
if self._draining:
adapter = self.adapters.get(event.source.platform)
if not adapter:
return True
thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None
if self._queue_during_drain_enabled():
self._queue_or_replace_pending_event(session_key, event)
message = f"⏳ Gateway {self._status_action_gerund()} — queued for the next turn after it comes back."
else:
message = f"⏳ Gateway is {self._status_action_gerund()} and is not accepting another turn right now."
await adapter._send_with_retry(
chat_id=event.source.chat_id,
content=message,
reply_to=event.message_id,
metadata=thread_meta,
)
return True
# --- Normal busy case (agent actively running a task) ---
# The user sent a message while the agent is working. Interrupt the
# agent immediately so it stops the current tool-calling loop and
# processes the new message. The pending message is stored in the
# adapter so the base adapter picks it up once the interrupted run
# returns. A brief ack tells the user what's happening (debounced
# to avoid spam when they fire multiple messages quickly).
adapter = self.adapters.get(event.source.platform)
if not adapter:
return True
return False # let default path handle it
# Store the message so it's processed as the next turn after the
# interrupt causes the current run to exit.
from gateway.platforms.base import merge_pending_message_event
merge_pending_message_event(adapter._pending_messages, session_key, event)
# Interrupt the running agent — this aborts in-flight tool calls and
# causes the agent loop to exit at the next check point.
running_agent = self._running_agents.get(session_key)
if running_agent and running_agent is not _AGENT_PENDING_SENTINEL:
try:
running_agent.interrupt(event.text)
except Exception:
pass # don't let interrupt failure block the ack
# Debounce: only send an acknowledgment once every 30 seconds per session
# to avoid spamming the user when they send multiple messages quickly
_BUSY_ACK_COOLDOWN = 30
now = time.time()
last_ack = self._busy_ack_ts.get(session_key, 0)
if now - last_ack < _BUSY_ACK_COOLDOWN:
return True # interrupt sent, ack already delivered recently
self._busy_ack_ts[session_key] = now
# Build a status-rich acknowledgment
status_parts = []
if running_agent and running_agent is not _AGENT_PENDING_SENTINEL:
try:
summary = running_agent.get_activity_summary()
iteration = summary.get("api_call_count", 0)
max_iter = summary.get("max_iterations", 0)
current_tool = summary.get("current_tool")
start_ts = self._running_agents_ts.get(session_key, 0)
if start_ts:
elapsed_min = int((now - start_ts) / 60)
if elapsed_min > 0:
status_parts.append(f"{elapsed_min} min elapsed")
if max_iter:
status_parts.append(f"iteration {iteration}/{max_iter}")
if current_tool:
status_parts.append(f"running: {current_tool}")
except Exception:
pass
status_detail = f" ({', '.join(status_parts)})" if status_parts else ""
message = (
f"⚡ Interrupting current task{status_detail}. "
f"I'll respond to your message shortly."
)
thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None
if self._queue_during_drain_enabled():
self._queue_or_replace_pending_event(session_key, event)
message = f"⏳ Gateway {self._status_action_gerund()} — queued for the next turn after it comes back."
else:
message = f"⏳ Gateway is {self._status_action_gerund()} and is not accepting another turn right now."
try:
await adapter._send_with_retry(
chat_id=event.source.chat_id,
content=message,
reply_to=event.message_id,
metadata=thread_meta,
)
except Exception as e:
logger.debug("Failed to send busy-ack: %s", e)
await adapter._send_with_retry(
chat_id=event.source.chat_id,
content=message,
reply_to=event.message_id,
metadata=thread_meta,
)
return True
async def _drain_active_agents(self, timeout: float) -> tuple[Dict[str, Any], bool]:
@@ -1391,6 +1466,65 @@ class GatewayRunner:
except Exception as e:
logger.debug("Failed interrupting agent during shutdown: %s", e)
async def _notify_active_sessions_of_shutdown(self) -> None:
"""Send a notification to every chat with an active agent.
Called at the very start of stop() adapters are still connected so
messages can be delivered. Best-effort: individual send failures are
logged and swallowed so they never block the shutdown sequence.
"""
active = self._snapshot_running_agents()
if not active:
return
action = "restarting" if self._restart_requested else "shutting down"
hint = (
"Your current task will be interrupted. "
"Send any message after restart to resume where it left off."
if self._restart_requested
else "Your current task will be interrupted."
)
msg = f"⚠️ Gateway {action}{hint}"
notified: set = set()
for session_key in active:
# Parse platform + chat_id from the session key.
# Format: agent:main:{platform}:{chat_type}:{chat_id}[:{extra}...]
parts = session_key.split(":")
if len(parts) < 5:
continue
platform_str = parts[2]
chat_id = parts[4]
# Deduplicate: one notification per chat, even if multiple
# sessions (different users/threads) share the same chat.
dedup_key = (platform_str, chat_id)
if dedup_key in notified:
continue
try:
platform = Platform(platform_str)
adapter = self.adapters.get(platform)
if not adapter:
continue
# Include thread_id if present so the message lands in the
# correct forum topic / thread.
thread_id = parts[5] if len(parts) > 5 else None
metadata = {"thread_id": thread_id} if thread_id else None
await adapter.send(chat_id, msg, metadata=metadata)
notified.add(dedup_key)
logger.info(
"Sent shutdown notification to %s:%s",
platform_str, chat_id,
)
except Exception as e:
logger.debug(
"Failed to send shutdown notification to %s:%s: %s",
platform_str, chat_id, e,
)
def _finalize_shutdown_agents(self, active_agents: Dict[str, Any]) -> None:
for agent in active_agents.values():
try:
@@ -1416,6 +1550,106 @@ class GatewayRunner:
except Exception:
pass
_STUCK_LOOP_THRESHOLD = 3 # restarts while active before auto-suspend
_STUCK_LOOP_FILE = ".restart_failure_counts"
def _increment_restart_failure_counts(self, active_session_keys: set) -> None:
"""Increment restart-failure counters for sessions active at shutdown.
Persists to a JSON file so counters survive across restarts.
Sessions NOT in active_session_keys are removed (they completed
successfully, so the loop is broken).
"""
import json
path = _hermes_home / self._STUCK_LOOP_FILE
try:
counts = json.loads(path.read_text()) if path.exists() else {}
except Exception:
counts = {}
# Increment active sessions, remove inactive ones (loop broken)
new_counts = {}
for key in active_session_keys:
new_counts[key] = counts.get(key, 0) + 1
# Keep any entries that are still above 0 even if not active now
# (they might become active again next restart)
try:
path.write_text(json.dumps(new_counts))
except Exception:
pass
def _suspend_stuck_loop_sessions(self) -> int:
"""Suspend sessions that have been active across too many restarts.
Returns the number of sessions suspended. Called on gateway startup
AFTER suspend_recently_active() to catch the stuck-loop pattern:
session loads agent gets stuck gateway restarts repeat.
"""
import json
path = _hermes_home / self._STUCK_LOOP_FILE
if not path.exists():
return 0
try:
counts = json.loads(path.read_text())
except Exception:
return 0
suspended = 0
stuck_keys = [k for k, v in counts.items() if v >= self._STUCK_LOOP_THRESHOLD]
for session_key in stuck_keys:
try:
entry = self.session_store._entries.get(session_key)
if entry and not entry.suspended:
entry.suspended = True
suspended += 1
logger.warning(
"Auto-suspended stuck session %s (active across %d "
"consecutive restarts — likely a stuck loop)",
session_key[:30], counts[session_key],
)
except Exception:
pass
if suspended:
try:
self.session_store._save()
except Exception:
pass
# Clear the file — counters start fresh after suspension
try:
path.unlink(missing_ok=True)
except Exception:
pass
return suspended
def _clear_restart_failure_count(self, session_key: str) -> None:
"""Clear the restart-failure counter for a session that completed OK.
Called after a successful agent turn to signal the loop is broken.
"""
import json
path = _hermes_home / self._STUCK_LOOP_FILE
if not path.exists():
return
try:
counts = json.loads(path.read_text())
if session_key in counts:
del counts[session_key]
if counts:
path.write_text(json.dumps(counts))
else:
path.unlink(missing_ok=True)
except Exception:
pass
async def _launch_detached_restart_command(self) -> None:
import shutil
import subprocess
@@ -1499,6 +1733,7 @@ class GatewayRunner:
"WECOM_CALLBACK_ALLOWED_USERS",
"WEIXIN_ALLOWED_USERS",
"BLUEBUBBLES_ALLOWED_USERS",
"QQ_ALLOWED_USERS",
"GATEWAY_ALLOWED_USERS")
)
_allow_all = os.getenv("GATEWAY_ALLOW_ALL_USERS", "").lower() in ("true", "1", "yes") or any(
@@ -1512,7 +1747,8 @@ class GatewayRunner:
"WECOM_ALLOW_ALL_USERS",
"WECOM_CALLBACK_ALLOW_ALL_USERS",
"WEIXIN_ALLOW_ALL_USERS",
"BLUEBUBBLES_ALLOW_ALL_USERS")
"BLUEBUBBLES_ALLOW_ALL_USERS",
"QQ_ALLOW_ALL_USERS")
)
if not _any_allowlist and not _allow_all:
logger.warning(
@@ -1557,6 +1793,17 @@ class GatewayRunner:
except Exception as e:
logger.warning("Session suspension on startup failed: %s", e)
# Stuck-loop detection (#7536): if a session has been active across
# 3+ consecutive restarts, it's probably stuck in a loop (the same
# history keeps causing the agent to hang). Auto-suspend it so the
# user gets a clean slate on the next message.
try:
stuck = self._suspend_stuck_loop_sessions()
if stuck:
logger.warning("Auto-suspended %d stuck-loop session(s)", stuck)
except Exception as e:
logger.debug("Stuck-loop detection failed: %s", e)
connected_count = 0
enabled_platform_count = 0
startup_nonretryable_errors: list[str] = []
@@ -2016,6 +2263,10 @@ class GatewayRunner:
self._running = False
self._draining = True
# Notify all chats with active agents BEFORE draining.
# Adapters are still connected here, so messages can be sent.
await self._notify_active_sessions_of_shutdown()
timeout = self._restart_drain_timeout
active_agents, timed_out = await self._drain_active_agents(timeout)
if timed_out:
@@ -2061,6 +2312,8 @@ class GatewayRunner:
self._running_agents.clear()
self._pending_messages.clear()
self._pending_approvals.clear()
if hasattr(self, '_busy_ack_ts'):
self._busy_ack_ts.clear()
self._shutdown_event.set()
# Global cleanup: kill any remaining tool subprocesses not tied
@@ -2086,12 +2339,31 @@ class GatewayRunner:
# Write a clean-shutdown marker so the next startup knows this
# wasn't a crash. suspend_recently_active() only needs to run
# after unexpected exits — graceful shutdowns already drain
# active agents, so there's no stuck-session risk.
try:
(_hermes_home / ".clean_shutdown").touch()
except Exception:
pass
# after unexpected exits. However, if the drain timed out and
# agents were force-interrupted, their sessions may be in an
# incomplete state (trailing tool response, no final assistant
# message). Skip the marker in that case so the next startup
# suspends those sessions — giving users a clean slate instead
# of resuming a half-finished tool loop.
if not timed_out:
try:
(_hermes_home / ".clean_shutdown").touch()
except Exception:
pass
else:
logger.info(
"Skipping .clean_shutdown marker — drain timed out with "
"interrupted agents; next startup will suspend recently "
"active sessions."
)
# Track sessions that were active at shutdown for stuck-loop
# detection (#7536). On each restart, the counter increments
# for sessions that were running. If a session hits the
# threshold (3 consecutive restarts while active), the next
# startup auto-suspends it — breaking the loop.
if active_agents:
self._increment_restart_failure_counts(set(active_agents.keys()))
if self._restart_requested and self._restart_via_service:
self._exit_code = GATEWAY_SERVICE_RESTART_EXIT_CODE
@@ -2255,8 +2527,15 @@ class GatewayRunner:
return None
return BlueBubblesAdapter(config)
elif platform == Platform.QQBOT:
from gateway.platforms.qqbot import QQAdapter, check_qq_requirements
if not check_qq_requirements():
logger.warning("QQBot: aiohttp/httpx missing or QQ_APP_ID/QQ_CLIENT_SECRET not configured")
return None
return QQAdapter(config)
return None
def _is_user_authorized(self, source: SessionSource) -> bool:
"""
Check if a user is authorized to use the bot.
@@ -2296,6 +2575,7 @@ class GatewayRunner:
Platform.WECOM_CALLBACK: "WECOM_CALLBACK_ALLOWED_USERS",
Platform.WEIXIN: "WEIXIN_ALLOWED_USERS",
Platform.BLUEBUBBLES: "BLUEBUBBLES_ALLOWED_USERS",
Platform.QQBOT: "QQ_ALLOWED_USERS",
}
platform_allow_all_map = {
Platform.TELEGRAM: "TELEGRAM_ALLOW_ALL_USERS",
@@ -2313,6 +2593,7 @@ class GatewayRunner:
Platform.WECOM_CALLBACK: "WECOM_CALLBACK_ALLOW_ALL_USERS",
Platform.WEIXIN: "WEIXIN_ALLOW_ALL_USERS",
Platform.BLUEBUBBLES: "BLUEBUBBLES_ALLOW_ALL_USERS",
Platform.QQBOT: "QQ_ALLOW_ALL_USERS",
}
# Per-platform allow-all flag (e.g., DISCORD_ALLOW_ALL_USERS=true)
@@ -2517,6 +2798,7 @@ class GatewayRunner:
)
del self._running_agents[_quick_key]
self._running_agents_ts.pop(_quick_key, None)
self._busy_ack_ts.pop(_quick_key, None)
if _quick_key in self._running_agents:
if event.get_command() == "status":
@@ -2546,11 +2828,8 @@ class GatewayRunner:
self._pending_messages.pop(_quick_key, None)
if _quick_key in self._running_agents:
del self._running_agents[_quick_key]
# Mark session suspended so the next message starts fresh
# instead of resuming the stuck context (#7536).
self.session_store.suspend_session(_quick_key)
logger.info("HARD STOP for session %s — suspended, session lock released", _quick_key[:20])
return "⚡ Force-stopped. The session is suspended — your next message will start fresh."
logger.info("STOP for session %s — agent interrupted, session lock released", _quick_key[:20])
return "⚡ Stopped. You can continue this session."
# /reset and /new must bypass the running-agent guard so they
# actually dispatch as commands instead of being queued as user
@@ -3585,6 +3864,12 @@ class GatewayRunner:
_response_time, _api_calls, _resp_len,
)
# Successful turn — clear any stuck-loop counter for this session.
# This ensures the counter only accumulates across CONSECUTIVE
# restarts where the session was active (never completed).
if session_key:
self._clear_restart_failure_count(session_key)
# Surface error details when the agent failed silently (final_response=None)
if not response and agent_result.get("failed"):
error_detail = agent_result.get("error", "unknown error")
@@ -3691,14 +3976,11 @@ class GatewayRunner:
# intermediate reasoning) so sessions can be resumed with full context
# and transcripts are useful for debugging and training data.
#
# IMPORTANT: When the agent failed before producing any response
# (e.g. context-overflow 400), do NOT persist the user's message.
# IMPORTANT: When the agent failed (e.g. context-overflow 400,
# compression exhausted), do NOT persist the user's message.
# Persisting it would make the session even larger, causing the
# same failure on the next attempt — an infinite loop. (#1630)
agent_failed_early = (
agent_result.get("failed")
and not agent_result.get("final_response")
)
# same failure on the next attempt — an infinite loop. (#1630, #9893)
agent_failed_early = bool(agent_result.get("failed"))
if agent_failed_early:
logger.info(
"Skipping transcript persistence for failed request in "
@@ -3706,6 +3988,24 @@ class GatewayRunner:
session_entry.session_id,
)
# When compression is exhausted, the session is permanently too
# large to process. Auto-reset it so the next message starts
# fresh instead of replaying the same oversized context in an
# infinite fail loop. (#9893)
if agent_result.get("compression_exhausted") and session_entry and session_key:
logger.info(
"Auto-resetting session %s after compression exhaustion.",
session_entry.session_id,
)
self.session_store.reset_session(session_key)
self._evict_cached_agent(session_key)
self._session_model_overrides.pop(session_key, None)
response = (response or "") + (
"\n\n🔄 Session auto-reset — the conversation exceeded the "
"maximum context size and could not be compressed further. "
"Your next message will start a fresh session."
)
ts = datetime.now().isoformat()
# If this is a fresh session (no history), write the full tool
@@ -3813,6 +4113,8 @@ class GatewayRunner:
_hist_len = len(history) if 'history' in locals() else 0
if status_code == 401:
status_hint = " Check your API key or run `claude /login` to refresh OAuth credentials."
elif status_code == 402:
status_hint = " Your API balance or quota is exhausted. Check your provider dashboard."
elif status_code == 429:
# Check if this is a plan usage limit (resets on a schedule) vs a transient rate limit
_err_body = getattr(e, "response", None)
@@ -3963,6 +4265,11 @@ class GatewayRunner:
_cached = self._agent_cache.get(session_key)
_old_agent = _cached[0] if isinstance(_cached, tuple) else _cached if _cached else None
if _old_agent is not None:
try:
if hasattr(_old_agent, "shutdown_memory_provider"):
_old_agent.shutdown_memory_provider()
except Exception:
pass
try:
if hasattr(_old_agent, "close"):
_old_agent.close()
@@ -4120,9 +4427,7 @@ class GatewayRunner:
only through normal command dispatch (no running agent) or as a
fallback. Force-clean the session lock in all cases for safety.
When there IS a running/pending agent, the session is also marked
as *suspended* so the next message starts a fresh session instead
of resuming the stuck context (#7536).
The session is preserved so the user can continue the conversation.
"""
source = event.source
session_entry = self.session_store.get_or_create_session(source)
@@ -4133,17 +4438,15 @@ class GatewayRunner:
# Force-clean the sentinel so the session is unlocked.
if session_key in self._running_agents:
del self._running_agents[session_key]
self.session_store.suspend_session(session_key)
logger.info("HARD STOP (pending) for session %s — suspended, sentinel cleared", session_key[:20])
return "⚡ Force-stopped. The agent was still starting — your next message will start fresh."
logger.info("STOP (pending) for session %s — sentinel cleared", session_key[:20])
return "⚡ Stopped. The agent hadn't started yet — you can continue this session."
if agent:
agent.interrupt("Stop requested")
# Force-clean the session lock so a truly hung agent doesn't
# keep it locked forever.
if session_key in self._running_agents:
del self._running_agents[session_key]
self.session_store.suspend_session(session_key)
return "⚡ Force-stopped. Your next message will start a fresh session."
return "⚡ Stopped. You can continue this session."
else:
return "No active task to stop."
@@ -6303,7 +6606,7 @@ class GatewayRunner:
"""Handle /reload-mcp command -- disconnect and reconnect all MCP servers."""
loop = asyncio.get_event_loop()
try:
from tools.mcp_tool import shutdown_mcp_servers, discover_mcp_tools, _load_mcp_config, _servers, _lock
from tools.mcp_tool import shutdown_mcp_servers, discover_mcp_tools, _servers, _lock
# Capture old server names before shutdown
with _lock:
@@ -6476,7 +6779,7 @@ class GatewayRunner:
Platform.TELEGRAM, Platform.DISCORD, Platform.SLACK, Platform.WHATSAPP,
Platform.SIGNAL, Platform.MATTERMOST, Platform.MATRIX,
Platform.HOMEASSISTANT, Platform.EMAIL, Platform.SMS, Platform.DINGTALK,
Platform.FEISHU, Platform.WECOM, Platform.WECOM_CALLBACK, Platform.WEIXIN, Platform.BLUEBUBBLES, Platform.LOCAL,
Platform.FEISHU, Platform.WECOM, Platform.WECOM_CALLBACK, Platform.WEIXIN, Platform.BLUEBUBBLES, Platform.QQBOT, Platform.LOCAL,
})
async def _handle_debug_command(self, event: MessageEvent) -> str:
@@ -7399,6 +7702,263 @@ class GatewayRunner:
with _lock:
self._agent_cache.pop(session_key, None)
# ------------------------------------------------------------------
# Proxy mode: forward messages to a remote Hermes API server
# ------------------------------------------------------------------
def _get_proxy_url(self) -> Optional[str]:
"""Return the proxy URL if proxy mode is configured, else None.
Checks GATEWAY_PROXY_URL env var first (convenient for Docker),
then ``gateway.proxy_url`` in config.yaml.
"""
url = os.getenv("GATEWAY_PROXY_URL", "").strip()
if url:
return url.rstrip("/")
cfg = _load_gateway_config()
url = (cfg.get("gateway") or {}).get("proxy_url", "").strip()
if url:
return url.rstrip("/")
return None
async def _run_agent_via_proxy(
self,
message: str,
context_prompt: str,
history: List[Dict[str, Any]],
source: "SessionSource",
session_id: str,
session_key: str = None,
event_message_id: Optional[str] = None,
) -> Dict[str, Any]:
"""Forward the message to a remote Hermes API server instead of
running a local AIAgent.
When ``GATEWAY_PROXY_URL`` (or ``gateway.proxy_url`` in config.yaml)
is set, the gateway becomes a thin relay: it handles platform I/O
(encryption, threading, media) and delegates all agent work to the
remote server via ``POST /v1/chat/completions`` with SSE streaming.
This lets a Docker container handle Matrix E2EE while the actual
agent runs on the host with full access to local files, memory,
skills, and a unified session store.
"""
try:
from aiohttp import ClientSession as _AioClientSession, ClientTimeout
except ImportError:
return {
"final_response": "⚠️ Proxy mode requires aiohttp. Install with: pip install aiohttp",
"messages": [],
"api_calls": 0,
"tools": [],
}
proxy_url = self._get_proxy_url()
if not proxy_url:
return {
"final_response": "⚠️ Proxy URL not configured (GATEWAY_PROXY_URL or gateway.proxy_url)",
"messages": [],
"api_calls": 0,
"tools": [],
}
proxy_key = os.getenv("GATEWAY_PROXY_KEY", "").strip()
# Build messages in OpenAI chat format --------------------------
#
# The remote api_server can maintain session continuity via
# X-Hermes-Session-Id, so it loads its own history. We only
# need to send the current user message. If the remote has
# no history for this session yet, include what we have locally
# so the first exchange has context.
#
# We always include the current message. For history, send a
# compact version (text-only user/assistant turns) — the remote
# handles tool replay and system prompts.
api_messages: List[Dict[str, str]] = []
if context_prompt:
api_messages.append({"role": "system", "content": context_prompt})
for msg in history:
role = msg.get("role")
content = msg.get("content")
if role in ("user", "assistant") and content:
api_messages.append({"role": role, "content": content})
api_messages.append({"role": "user", "content": message})
# HTTP headers ---------------------------------------------------
headers: Dict[str, str] = {"Content-Type": "application/json"}
if proxy_key:
headers["Authorization"] = f"Bearer {proxy_key}"
if session_id:
headers["X-Hermes-Session-Id"] = session_id
body = {
"model": "hermes-agent",
"messages": api_messages,
"stream": True,
}
# Set up platform streaming if available -------------------------
_stream_consumer = None
_scfg = getattr(getattr(self, "config", None), "streaming", None)
if _scfg is None:
from gateway.config import StreamingConfig
_scfg = StreamingConfig()
platform_key = _platform_config_key(source.platform)
user_config = _load_gateway_config()
from gateway.display_config import resolve_display_setting
_plat_streaming = resolve_display_setting(
user_config, platform_key, "streaming"
)
_streaming_enabled = (
_scfg.enabled and _scfg.transport != "off"
if _plat_streaming is None
else bool(_plat_streaming)
)
if source.thread_id:
_thread_metadata: Optional[Dict[str, Any]] = {"thread_id": source.thread_id}
else:
_thread_metadata = None
if _streaming_enabled:
try:
from gateway.stream_consumer import GatewayStreamConsumer, StreamConsumerConfig
from gateway.config import Platform
_adapter = self.adapters.get(source.platform)
if _adapter:
_adapter_supports_edit = getattr(_adapter, "SUPPORTS_MESSAGE_EDITING", True)
_effective_cursor = _scfg.cursor if _adapter_supports_edit else ""
if source.platform == Platform.MATRIX:
_effective_cursor = ""
_consumer_cfg = StreamConsumerConfig(
edit_interval=_scfg.edit_interval,
buffer_threshold=_scfg.buffer_threshold,
cursor=_effective_cursor,
)
_stream_consumer = GatewayStreamConsumer(
adapter=_adapter,
chat_id=source.chat_id,
config=_consumer_cfg,
metadata=_thread_metadata,
)
except Exception as _sc_err:
logger.debug("Proxy: could not set up stream consumer: %s", _sc_err)
# Run the stream consumer task in the background
stream_task = None
if _stream_consumer:
stream_task = asyncio.create_task(_stream_consumer.run())
# Send typing indicator
_adapter = self.adapters.get(source.platform)
if _adapter:
try:
await _adapter.send_typing(source.chat_id, metadata=_thread_metadata)
except Exception:
pass
# Make the HTTP request with SSE streaming -----------------------
full_response = ""
_start = time.time()
try:
_timeout = ClientTimeout(total=0, sock_read=1800)
async with _AioClientSession(timeout=_timeout) as session:
async with session.post(
f"{proxy_url}/v1/chat/completions",
json=body,
headers=headers,
) as resp:
if resp.status != 200:
error_text = await resp.text()
logger.warning(
"Proxy error (%d) from %s: %s",
resp.status, proxy_url, error_text[:500],
)
return {
"final_response": f"⚠️ Proxy error ({resp.status}): {error_text[:300]}",
"messages": [],
"api_calls": 0,
"tools": [],
}
# Parse SSE stream
buffer = ""
async for chunk in resp.content.iter_any():
text = chunk.decode("utf-8", errors="replace")
buffer += text
# Process complete SSE lines
while "\n" in buffer:
line, buffer = buffer.split("\n", 1)
line = line.strip()
if not line:
continue
if line.startswith("data: "):
data = line[6:]
if data.strip() == "[DONE]":
break
try:
obj = json.loads(data)
choices = obj.get("choices", [])
if choices:
delta = choices[0].get("delta", {})
content = delta.get("content", "")
if content:
full_response += content
if _stream_consumer:
_stream_consumer.on_delta(content)
except json.JSONDecodeError:
pass
except asyncio.CancelledError:
raise
except Exception as e:
logger.error("Proxy connection error to %s: %s", proxy_url, e)
if not full_response:
return {
"final_response": f"⚠️ Proxy connection error: {e}",
"messages": [],
"api_calls": 0,
"tools": [],
}
# Partial response — return what we got
finally:
# Finalize stream consumer
if _stream_consumer:
_stream_consumer.finish()
if stream_task:
try:
await asyncio.wait_for(stream_task, timeout=5.0)
except (asyncio.TimeoutError, asyncio.CancelledError):
stream_task.cancel()
_elapsed = time.time() - _start
logger.info(
"proxy response: url=%s session=%s time=%.1fs response=%d chars",
proxy_url, (session_id or "")[:20], _elapsed, len(full_response),
)
return {
"final_response": full_response or "(No response from remote agent)",
"messages": [
{"role": "user", "content": message},
{"role": "assistant", "content": full_response},
],
"api_calls": 1,
"tools": [],
"history_offset": len(history),
"session_id": session_id,
"response_previewed": _stream_consumer is not None and bool(full_response),
}
# ------------------------------------------------------------------
async def _run_agent(
self,
message: str,
@@ -7422,6 +7982,18 @@ class GatewayRunner:
This is run in a thread pool to not block the event loop.
Supports interruption via new messages.
"""
# ---- Proxy mode: delegate to remote API server ----
if self._get_proxy_url():
return await self._run_agent_via_proxy(
message=message,
context_prompt=context_prompt,
history=history,
source=source,
session_id=session_id,
session_key=session_key,
event_message_id=event_message_id,
)
from run_agent import AIAgent
import queue
@@ -7816,13 +8388,19 @@ class GatewayRunner:
_adapter = self.adapters.get(source.platform)
if _adapter:
# Platforms that don't support editing sent messages
# (e.g. WeChat) must not show a cursor in intermediate
# sends — the cursor would be permanently visible because
# it can never be edited away. Use an empty cursor for
# such platforms so streaming still delivers the final
# response, just without the typing indicator.
# (e.g. QQ, WeChat) should skip streaming entirely —
# without edit support, the consumer sends a partial
# first message that can never be updated, resulting in
# duplicate messages (partial + final).
_adapter_supports_edit = getattr(_adapter, "SUPPORTS_MESSAGE_EDITING", True)
_effective_cursor = _scfg.cursor if _adapter_supports_edit else ""
if not _adapter_supports_edit:
raise RuntimeError("skip streaming for non-editable platform")
_effective_cursor = _scfg.cursor
# Some Matrix clients render the streaming cursor
# as a visible tofu/white-box artifact. Keep
# streaming text on Matrix, but suppress the cursor.
if source.platform == Platform.MATRIX:
_effective_cursor = ""
_consumer_cfg = StreamConsumerConfig(
edit_interval=_scfg.edit_interval,
buffer_threshold=_scfg.buffer_threshold,
@@ -7880,6 +8458,12 @@ class GatewayRunner:
cached = _cache.get(session_key)
if cached and cached[1] == _sig:
agent = cached[0]
# Reset activity timestamp so the inactivity timeout
# handler doesn't see stale idle time from the previous
# turn and immediately kill this agent. (#9051)
agent._last_activity_ts = time.time()
agent._last_activity_desc = "starting new turn (cached)"
agent._api_call_count = 0
logger.debug("Reusing cached agent for session %s", session_key)
if agent is None:
@@ -8092,6 +8676,21 @@ class GatewayRunner:
if _msn:
message = _msn + "\n\n" + message
# Auto-continue: if the loaded history ends with a tool result,
# the previous agent turn was interrupted mid-work (gateway
# restart, crash, SIGTERM). Prepend a system note so the model
# finishes processing the pending tool results before addressing
# the user's new message. (#4493)
if agent_history and agent_history[-1].get("role") == "tool":
message = (
"[System note: Your previous turn was interrupted before you could "
"process the last tool result(s). The conversation history contains "
"tool outputs you haven't responded to yet. Please finish processing "
"those results and summarize what was accomplished, then address the "
"user's new message below.]\n\n"
+ message
)
_approval_session_key = session_key or ""
_approval_session_token = set_current_session_key(_approval_session_key)
register_gateway_notify(_approval_session_key, _approval_notify_sync)
@@ -8126,6 +8725,8 @@ class GatewayRunner:
"final_response": error_msg,
"messages": result.get("messages", []),
"api_calls": result.get("api_calls", 0),
"failed": result.get("failed", False),
"compression_exhausted": result.get("compression_exhausted", False),
"tools": tools_holder[0] or [],
"history_offset": len(agent_history),
"last_prompt_tokens": _last_prompt_toks,
@@ -8630,15 +9231,11 @@ class GatewayRunner:
pass
except Exception as e:
logger.debug("Stream consumer wait before queued message failed: %s", e)
_response_previewed = bool(result.get("response_previewed"))
_already_streamed = bool(
_sc
and (
getattr(_sc, "final_response_sent", False)
or (
_response_previewed
and getattr(_sc, "already_sent", False)
)
or getattr(_sc, "already_sent", False)
)
)
first_response = result.get("final_response", "")
@@ -8722,13 +9319,9 @@ class GatewayRunner:
# them even if streaming had sent earlier partial output.
_sc = stream_consumer_holder[0]
if _sc and isinstance(response, dict) and not response.get("failed"):
_response_previewed = bool(response.get("response_previewed"))
if (
getattr(_sc, "final_response_sent", False)
or (
_response_previewed
and getattr(_sc, "already_sent", False)
)
or getattr(_sc, "already_sent", False)
):
response["already_sent"] = True
@@ -8903,8 +9496,41 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
runner = GatewayRunner(config)
# Track whether a signal initiated the shutdown (vs. internal request).
# When an unexpected SIGTERM kills the gateway, we exit non-zero so
# systemd's Restart=on-failure revives the process. systemctl stop
# is safe: systemd tracks stop-requested state independently of exit
# code, so Restart= never fires for a deliberate stop.
_signal_initiated_shutdown = False
# Set up signal handlers
def shutdown_signal_handler():
nonlocal _signal_initiated_shutdown
_signal_initiated_shutdown = True
logger.info("Received SIGTERM/SIGINT — initiating shutdown")
# Diagnostic: log all hermes-related processes so we can identify
# what triggered the signal (hermes update, hermes gateway restart,
# a stale detached subprocess, etc.).
try:
import subprocess as _sp
_ps = _sp.run(
["ps", "aux"],
capture_output=True, text=True, timeout=3,
)
_hermes_procs = [
line for line in _ps.stdout.splitlines()
if ("hermes" in line.lower() or "gateway" in line.lower())
and str(os.getpid()) not in line.split()[1:2] # exclude self
]
if _hermes_procs:
logger.warning(
"Shutdown diagnostic — other hermes processes running:\n %s",
"\n ".join(_hermes_procs),
)
else:
logger.info("Shutdown diagnostic — no other hermes processes found")
except Exception:
pass
asyncio.create_task(runner.stop())
def restart_signal_handler():
@@ -8974,6 +9600,21 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
if runner.exit_code is not None:
raise SystemExit(runner.exit_code)
# When a signal (SIGTERM/SIGINT) caused the shutdown and it wasn't a
# planned restart (/restart, /update, SIGUSR1), exit non-zero so
# systemd's Restart=on-failure revives the process. This covers:
# - hermes update killing the gateway mid-work
# - External kill commands
# - WSL2/container runtime sending unexpected signals
# systemctl stop is safe: systemd tracks "stop requested" state
# independently of exit code, so Restart= never fires for it.
if _signal_initiated_shutdown and not runner._restart_requested:
logger.info(
"Exiting with code 1 (signal-initiated shutdown without restart "
"request) so systemd Restart=on-failure can revive the gateway."
)
return False # → sys.exit(1) in the caller
return True
-1
View File
@@ -12,7 +12,6 @@ import hashlib
import logging
import os
import json
import re
import threading
import uuid
from pathlib import Path
+18 -2
View File
@@ -266,9 +266,25 @@ def read_runtime_status() -> Optional[dict[str, Any]]:
def remove_pid_file() -> None:
"""Remove the gateway PID file if it exists."""
"""Remove the gateway PID file, but only if it belongs to this process.
During --replace handoffs, the old process's atexit handler can fire AFTER
the new process has written its own PID file. Blindly removing the file
would delete the new process's record, leaving the gateway running with no
PID file (invisible to ``get_running_pid()``).
"""
try:
_get_pid_path().unlink(missing_ok=True)
path = _get_pid_path()
record = _read_json_file(path)
if record is not None:
try:
file_pid = int(record["pid"])
except (KeyError, TypeError, ValueError):
file_pid = None
if file_pid is not None and file_pid != os.getpid():
# PID file belongs to a different process — leave it alone.
return
path.unlink(missing_ok=True)
except Exception:
pass
+160 -1
View File
@@ -64,6 +64,18 @@ class GatewayStreamConsumer:
# progressive edits for the remainder of the stream.
_MAX_FLOOD_STRIKES = 3
# Reasoning/thinking tags that models emit inline in content.
# Must stay in sync with cli.py _OPEN_TAGS/_CLOSE_TAGS and
# run_agent.py _strip_think_blocks() tag variants.
_OPEN_THINK_TAGS = (
"<REASONING_SCRATCHPAD>", "<think>", "<reasoning>",
"<THINKING>", "<thinking>", "<thought>",
)
_CLOSE_THINK_TAGS = (
"</REASONING_SCRATCHPAD>", "</think>", "</reasoning>",
"</THINKING>", "</thinking>", "</thought>",
)
def __init__(
self,
adapter: Any,
@@ -88,6 +100,10 @@ class GatewayStreamConsumer:
self._current_edit_interval = self.cfg.edit_interval # Adaptive backoff
self._final_response_sent = False
# Think-block filter state (mirrors CLI's _stream_delta tag suppression)
self._in_think_block = False
self._think_buffer = ""
@property
def already_sent(self) -> bool:
"""True if at least one message was sent or edited during the run."""
@@ -132,6 +148,112 @@ class GatewayStreamConsumer:
"""Signal that the stream is complete."""
self._queue.put(_DONE)
# ── Think-block filtering ────────────────────────────────────────
# Models like MiniMax emit inline <think>...</think> blocks in their
# content. The CLI's _stream_delta suppresses these via a state
# machine; we do the same here so gateway users never see raw
# reasoning tags. The agent also strips them from the final
# response (run_agent.py _strip_think_blocks), but the stream
# consumer sends intermediate edits before that stripping happens.
def _filter_and_accumulate(self, text: str) -> None:
"""Add a text delta to the accumulated buffer, suppressing think blocks.
Uses a state machine that tracks whether we are inside a
reasoning/thinking block. Text inside such blocks is silently
discarded. Partial tags at buffer boundaries are held back in
``_think_buffer`` until enough characters arrive to decide.
"""
buf = self._think_buffer + text
self._think_buffer = ""
while buf:
if self._in_think_block:
# Look for the earliest closing tag
best_idx = -1
best_len = 0
for tag in self._CLOSE_THINK_TAGS:
idx = buf.find(tag)
if idx != -1 and (best_idx == -1 or idx < best_idx):
best_idx = idx
best_len = len(tag)
if best_len:
# Found closing tag — discard block, process remainder
self._in_think_block = False
buf = buf[best_idx + best_len:]
else:
# No closing tag yet — hold tail that could be a
# partial closing tag prefix, discard the rest.
max_tag = max(len(t) for t in self._CLOSE_THINK_TAGS)
self._think_buffer = buf[-max_tag:] if len(buf) > max_tag else buf
return
else:
# Look for earliest opening tag at a block boundary
# (start of text / preceded by newline + optional whitespace).
# This prevents false positives when models *mention* tags
# in prose (e.g. "the <think> tag is used for…").
best_idx = -1
best_len = 0
for tag in self._OPEN_THINK_TAGS:
search_start = 0
while True:
idx = buf.find(tag, search_start)
if idx == -1:
break
# Block-boundary check (mirrors cli.py logic)
if idx == 0:
is_boundary = (
not self._accumulated
or self._accumulated.endswith("\n")
)
else:
preceding = buf[:idx]
last_nl = preceding.rfind("\n")
if last_nl == -1:
is_boundary = (
(not self._accumulated
or self._accumulated.endswith("\n"))
and preceding.strip() == ""
)
else:
is_boundary = preceding[last_nl + 1:].strip() == ""
if is_boundary and (best_idx == -1 or idx < best_idx):
best_idx = idx
best_len = len(tag)
break # first boundary hit for this tag is enough
search_start = idx + 1
if best_len:
# Emit text before the tag, enter think block
self._accumulated += buf[:best_idx]
self._in_think_block = True
buf = buf[best_idx + best_len:]
else:
# No opening tag — check for a partial tag at the tail
held_back = 0
for tag in self._OPEN_THINK_TAGS:
for i in range(1, len(tag)):
if buf.endswith(tag[:i]) and i > held_back:
held_back = i
if held_back:
self._accumulated += buf[:-held_back]
self._think_buffer = buf[-held_back:]
else:
self._accumulated += buf
return
def _flush_think_buffer(self) -> None:
"""Flush any held-back partial-tag buffer into accumulated text.
Called when the stream ends (got_done) so that partial text that
was held back waiting for a possible opening tag is not lost.
"""
if self._think_buffer and not self._in_think_block:
self._accumulated += self._think_buffer
self._think_buffer = ""
async def run(self) -> None:
"""Async task that drains the queue and edits the platform message."""
# Platform message length limit — leave room for cursor + formatting
@@ -156,10 +278,16 @@ class GatewayStreamConsumer:
if isinstance(item, tuple) and len(item) == 2 and item[0] is _COMMENTARY:
commentary_text = item[1]
break
self._accumulated += item
self._filter_and_accumulate(item)
except queue.Empty:
break
# Flush any held-back partial-tag buffer on stream end
# so trailing text that was waiting for a potential open
# tag is not lost.
if got_done:
self._flush_think_buffer()
# Decide whether to flush an edit
now = time.monotonic()
elapsed = now - self._last_edit_time
@@ -280,6 +408,14 @@ class GatewayStreamConsumer:
await self._send_or_edit(self._accumulated)
except Exception:
pass
# If we delivered any content before being cancelled, mark the
# final response as sent so the gateway's already_sent check
# doesn't trigger a duplicate message. The 5-second
# stream_task timeout (gateway/run.py) can cancel us while
# waiting on a slow Telegram API call — without this flag the
# gateway falls through to the normal send path.
if self._already_sent:
self._final_response_sent = True
except Exception as e:
logger.error("Stream consumer error: %s", e)
@@ -491,8 +627,31 @@ class GatewayStreamConsumer:
# Media files are delivered as native attachments after the stream
# finishes (via _deliver_media_from_response in gateway/run.py).
text = self._clean_for_display(text)
# A bare streaming cursor is not meaningful user-visible content and
# can render as a stray tofu/white-box message on some clients.
visible_without_cursor = text
if self.cfg.cursor:
visible_without_cursor = visible_without_cursor.replace(self.cfg.cursor, "")
_visible_stripped = visible_without_cursor.strip()
if not _visible_stripped:
return True # cursor-only / whitespace-only update
if not text.strip():
return True # nothing to send is "success"
# Guard: do not create a brand-new standalone message when the only
# visible content is a handful of characters alongside the streaming
# cursor. During rapid tool-calling the model often emits 1-2 tokens
# before switching to tool calls; the resulting "X ▉" message risks
# leaving the cursor permanently visible if the follow-up edit (to
# strip the cursor on segment break) is rate-limited by the platform.
# This was reported on Telegram, Matrix, and other clients where the
# ▉ block character renders as a visible white box ("tofu").
# Existing messages (edits) are unaffected — only first sends gated.
_MIN_NEW_MSG_CHARS = 4
if (self._message_id is None
and self.cfg.cursor
and self.cfg.cursor in text
and len(_visible_stripped) < _MIN_NEW_MSG_CHARS):
return True # too short for a standalone message — accumulate more
try:
if self._message_id is not None:
if self._edit_supported:
+160
View File
@@ -0,0 +1,160 @@
# Hermes Agent Has Had "Routines" Since March
Anthropic just announced [Claude Code Routines](https://claude.com/blog/introducing-routines-in-claude-code) — scheduled tasks, GitHub event triggers, and API-triggered agent runs. Bundled prompt + repo + connectors, running on their infrastructure.
It's a good feature. We shipped it two months ago.
---
## The Three Trigger Types — Side by Side
Claude Code Routines offers three ways to trigger an automation:
**1. Scheduled (cron)**
> "Every night at 2am: pull the top bug from Linear, attempt a fix, and open a draft PR."
Hermes equivalent — works today:
```bash
hermes cron create "0 2 * * *" \
"Pull the top bug from the issue tracker, attempt a fix, and open a draft PR." \
--name "Nightly bug fix" \
--deliver telegram
```
**2. GitHub Events (webhook)**
> "Flag PRs that touch the /auth-provider module and post to #auth-changes."
Hermes equivalent — works today:
```bash
hermes webhook subscribe auth-watch \
--events "pull_request" \
--prompt "PR #{pull_request.number}: {pull_request.title} by {pull_request.user.login}. Check if it touches the auth-provider module. If yes, summarize the changes." \
--deliver slack
```
**3. API Triggers**
> "Read the alert payload, find the owning service, post a triage summary to #oncall."
Hermes equivalent — works today:
```bash
hermes webhook subscribe alert-triage \
--prompt "Alert: {alert.name} — Severity: {alert.severity}. Find the owning service, investigate, and post a triage summary with proposed first steps." \
--deliver slack
```
Every use case in their blog post — backlog triage, docs drift, deploy verification, alert correlation, library porting, bespoke PR review — has a working Hermes implementation. No new features needed. It's been shipping since March 2026.
---
## What's Different
| | Claude Code Routines | Hermes Agent |
|---|---|---|
| **Scheduled tasks** | ✅ Schedule-based | ✅ Any cron expression + human-readable intervals |
| **GitHub triggers** | ✅ PR, issue, push events | ✅ Any GitHub event via webhook subscriptions |
| **API triggers** | ✅ POST to unique endpoint | ✅ POST to webhook routes with HMAC auth |
| **MCP connectors** | ✅ Native connectors | ✅ Full MCP client support |
| **Script pre-processing** | ❌ | ✅ Python scripts run before agent, inject context |
| **Skill chaining** | ❌ | ✅ Load multiple skills per automation |
| **Daily limit** | 5-25 runs/day | **Unlimited** |
| **Model choice** | Claude only | **Any model** — Claude, GPT, Gemini, DeepSeek, Qwen, local |
| **Delivery targets** | GitHub comments | Telegram, Discord, Slack, SMS, email, GitHub comments, webhooks, local files |
| **Infrastructure** | Anthropic's servers | **Your infrastructure** — VPS, home server, laptop |
| **Data residency** | Anthropic's cloud | **Your machines** |
| **Cost** | Pro/Max/Team/Enterprise subscription | Your API key, your rates |
| **Open source** | No | **Yes** — MIT license |
---
## Things Hermes Does That Routines Can't
### Script Injection
Run a Python script *before* the agent. The script's stdout becomes context. The script handles mechanical work (fetching, diffing, computing); the agent handles reasoning.
```bash
hermes cron create "every 1h" \
"If CHANGE DETECTED, summarize what changed. If NO_CHANGE, respond with [SILENT]." \
--script ~/.hermes/scripts/watch-site.py \
--name "Pricing monitor" \
--deliver telegram
```
The `[SILENT]` pattern means you only get notified when something actually happens. No spam.
### Multi-Skill Workflows
Chain specialized skills together. Each skill teaches the agent a specific capability, and the prompt ties them together.
```bash
hermes cron create "0 8 * * *" \
"Search arXiv for papers on language model reasoning. Save the top 3 as Obsidian notes." \
--skills "arxiv,obsidian" \
--name "Paper digest"
```
### Deliver Anywhere
One automation, any destination:
```bash
--deliver telegram # Telegram home channel
--deliver discord # Discord home channel
--deliver slack # Slack channel
--deliver sms:+15551234567 # Text message
--deliver telegram:-1001234567890:42 # Specific Telegram forum topic
--deliver local # Save to file, no notification
```
### Model-Agnostic
Your nightly triage can run on Claude. Your deploy verification can run on GPT. Your cost-sensitive monitors can run on DeepSeek or a local model. Same automation system, any backend.
---
## The Limits Tell the Story
Claude Code Routines: **5 routines per day** on Pro. **25 on Enterprise.** That's their ceiling.
Hermes has no daily limit. Run 500 automations a day if you want. The only constraint is your API budget, and you choose which models to use for which tasks.
A nightly backlog triage on Sonnet costs roughly $0.02-0.05. A monitoring check on DeepSeek costs fractions of a cent. You control the economics.
---
## Get Started
Hermes Agent is open source and free. The automation infrastructure — cron scheduler, webhook platform, skill system, multi-platform delivery — is built in.
```bash
pip install hermes-agent
hermes setup
```
Set up a scheduled task in 30 seconds:
```bash
hermes cron create "0 9 * * 1" \
"Generate a weekly AI news digest. Search the web for major announcements, trending repos, and notable papers. Keep it under 500 words with links." \
--name "Weekly digest" \
--deliver telegram
```
Set up a GitHub webhook in 60 seconds:
```bash
hermes gateway setup # enable webhooks
hermes webhook subscribe pr-review \
--events "pull_request" \
--prompt "Review PR #{pull_request.number}: {pull_request.title}" \
--skills "github-code-review" \
--deliver github_comment
```
Full automation templates gallery: [hermes-agent.nousresearch.com/docs/guides/automation-templates](https://hermes-agent.nousresearch.com/docs/guides/automation-templates)
Documentation: [hermes-agent.nousresearch.com](https://hermes-agent.nousresearch.com)
GitHub: [github.com/NousResearch/hermes-agent](https://github.com/NousResearch/hermes-agent)
---
*Hermes Agent is built by [Nous Research](https://nousresearch.com). Open source, model-agnostic, runs on your infrastructure.*
+82 -35
View File
@@ -167,6 +167,14 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
inference_base_url="https://api.moonshot.cn/v1",
api_key_env_vars=("KIMI_CN_API_KEY",),
),
"arcee": ProviderConfig(
id="arcee",
name="Arcee AI",
auth_type="api_key",
inference_base_url="https://api.arcee.ai/api/v1",
api_key_env_vars=("ARCEEAI_API_KEY",),
base_url_env_var="ARCEE_BASE_URL",
),
"minimax": ProviderConfig(
id="minimax",
name="MiniMax",
@@ -216,7 +224,7 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
),
"ai-gateway": ProviderConfig(
id="ai-gateway",
name="AI Gateway",
name="Vercel AI Gateway",
auth_type="api_key",
inference_base_url="https://ai-gateway.vercel.sh/v1",
api_key_env_vars=("AI_GATEWAY_API_KEY",),
@@ -375,13 +383,16 @@ def _resolve_api_key_provider_secret(
# Z.AI has separate billing for general vs coding plans, and global vs China
# endpoints. A key that works on one may return "Insufficient balance" on
# another. We probe at setup time and store the working endpoint.
# Each entry lists candidate models to try in order — newer coding plan accounts
# may only have access to recent models (glm-5.1, glm-5v-turbo) while older
# ones still use glm-4.7.
ZAI_ENDPOINTS = [
# (id, base_url, default_model, label)
("global", "https://api.z.ai/api/paas/v4", "glm-5", "Global"),
("cn", "https://open.bigmodel.cn/api/paas/v4", "glm-5", "China"),
("coding-global", "https://api.z.ai/api/coding/paas/v4", "glm-4.7", "Global (Coding Plan)"),
("coding-cn", "https://open.bigmodel.cn/api/coding/paas/v4", "glm-4.7", "China (Coding Plan)"),
# (id, base_url, probe_models, label)
("global", "https://api.z.ai/api/paas/v4", ["glm-5"], "Global"),
("cn", "https://open.bigmodel.cn/api/paas/v4", ["glm-5"], "China"),
("coding-global", "https://api.z.ai/api/coding/paas/v4", ["glm-5.1", "glm-5v-turbo", "glm-4.7"], "Global (Coding Plan)"),
("coding-cn", "https://open.bigmodel.cn/api/coding/paas/v4", ["glm-5.1", "glm-5v-turbo", "glm-4.7"], "China (Coding Plan)"),
]
@@ -389,35 +400,37 @@ def detect_zai_endpoint(api_key: str, timeout: float = 8.0) -> Optional[Dict[str
"""Probe z.ai endpoints to find one that accepts this API key.
Returns {"id": ..., "base_url": ..., "model": ..., "label": ...} for the
first working endpoint, or None if all fail.
first working endpoint, or None if all fail. For endpoints with multiple
candidate models, tries each in order and returns the first that succeeds.
"""
for ep_id, base_url, model, label in ZAI_ENDPOINTS:
try:
resp = httpx.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model,
"stream": False,
"max_tokens": 1,
"messages": [{"role": "user", "content": "ping"}],
},
timeout=timeout,
)
if resp.status_code == 200:
logger.debug("Z.AI endpoint probe: %s (%s) OK", ep_id, base_url)
return {
"id": ep_id,
"base_url": base_url,
"model": model,
"label": label,
}
logger.debug("Z.AI endpoint probe: %s returned %s", ep_id, resp.status_code)
except Exception as exc:
logger.debug("Z.AI endpoint probe: %s failed: %s", ep_id, exc)
for ep_id, base_url, probe_models, label in ZAI_ENDPOINTS:
for model in probe_models:
try:
resp = httpx.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model,
"stream": False,
"max_tokens": 1,
"messages": [{"role": "user", "content": "ping"}],
},
timeout=timeout,
)
if resp.status_code == 200:
logger.debug("Z.AI endpoint probe: %s (%s) model=%s OK", ep_id, base_url, model)
return {
"id": ep_id,
"base_url": base_url,
"model": model,
"label": label,
}
logger.debug("Z.AI endpoint probe: %s model=%s returned %s", ep_id, model, resp.status_code)
except Exception as exc:
logger.debug("Z.AI endpoint probe: %s model=%s failed: %s", ep_id, model, exc)
return None
@@ -900,6 +913,7 @@ def resolve_provider(
"google": "gemini", "google-gemini": "gemini", "google-ai-studio": "gemini",
"kimi": "kimi-coding", "kimi-for-coding": "kimi-coding", "moonshot": "kimi-coding",
"kimi-cn": "kimi-coding-cn", "moonshot-cn": "kimi-coding-cn",
"arcee-ai": "arcee", "arceeai": "arcee",
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
"claude": "anthropic", "claude-code": "anthropic",
"github": "copilot", "github-copilot": "copilot",
@@ -2253,7 +2267,40 @@ def resolve_nous_runtime_credentials(
# =============================================================================
def get_nous_auth_status() -> Dict[str, Any]:
"""Status snapshot for `hermes status` output."""
"""Status snapshot for `hermes status` output.
Checks the credential pool first (where the dashboard device-code flow
and ``hermes auth`` store credentials), then falls back to the legacy
auth-store provider state.
"""
# Check credential pool first — the dashboard device-code flow saves
# here but may not have written to the auth store yet.
try:
from agent.credential_pool import load_pool
pool = load_pool("nous")
if pool and pool.has_credentials():
entry = pool.select()
if entry is not None:
access_token = (
getattr(entry, "access_token", None)
or getattr(entry, "runtime_api_key", "")
)
if access_token:
return {
"logged_in": True,
"portal_base_url": getattr(entry, "portal_base_url", None)
or getattr(entry, "base_url", None),
"inference_base_url": getattr(entry, "inference_base_url", None)
or getattr(entry, "base_url", None),
"access_token": access_token,
"access_expires_at": getattr(entry, "expires_at", None),
"agent_key_expires_at": getattr(entry, "agent_key_expires_at", None),
"has_refresh_token": bool(getattr(entry, "refresh_token", None)),
}
except Exception:
pass
# Fall back to auth-store provider state
state = get_provider_auth_state("nous")
if not state:
return {
-1
View File
@@ -5,7 +5,6 @@ Pure display functions with no HermesCLI state dependency.
import json
import logging
import os
import shutil
import subprocess
import threading
+3 -3
View File
@@ -75,12 +75,12 @@ def prompt_for_secret(cli, var_name: str, prompt: str, metadata=None) -> dict:
if not hasattr(cli, "_secret_deadline"):
cli._secret_deadline = 0
try:
value = getpass.getpass(f"{prompt} (hidden, Enter to skip): ")
value = getpass.getpass(f"{prompt} (hidden, ESC or empty Enter to skip): ")
except (EOFError, KeyboardInterrupt):
value = ""
if not value:
cprint(f"\n{_DIM} ⏭ Secret entry cancelled{_RST}")
cprint(f"\n{_DIM} ⏭ Secret entry skipped{_RST}")
return {
"success": True,
"reason": "cancelled",
@@ -133,7 +133,7 @@ def prompt_for_secret(cli, var_name: str, prompt: str, metadata=None) -> dict:
cli._app.invalidate()
if not value:
cprint(f"\n{_DIM} ⏭ Secret entry cancelled{_RST}")
cprint(f"\n{_DIM} ⏭ Secret entry skipped{_RST}")
return {
"success": True,
"reason": "cancelled",
-1
View File
@@ -6,7 +6,6 @@ mcp_config.py, and memory_setup.py.
"""
import getpass
import sys
from hermes_cli.colors import Colors, color
+244 -82
View File
@@ -12,6 +12,9 @@ from __future__ import annotations
import os
import re
import shutil
import subprocess
import time
from collections.abc import Callable, Mapping
from dataclasses import dataclass
from typing import Any
@@ -190,52 +193,6 @@ def resolve_command(name: str) -> CommandDef | None:
return _COMMAND_LOOKUP.get(name.lower().lstrip("/"))
def rebuild_lookups() -> None:
"""Rebuild all derived lookup dicts from the current COMMAND_REGISTRY.
Called after plugin commands are registered so they appear in help,
autocomplete, gateway dispatch, Telegram menu, and Slack mapping.
"""
global GATEWAY_KNOWN_COMMANDS
_COMMAND_LOOKUP.clear()
_COMMAND_LOOKUP.update(_build_command_lookup())
COMMANDS.clear()
for cmd in COMMAND_REGISTRY:
if not cmd.gateway_only:
COMMANDS[f"/{cmd.name}"] = _build_description(cmd)
for alias in cmd.aliases:
COMMANDS[f"/{alias}"] = f"{cmd.description} (alias for /{cmd.name})"
COMMANDS_BY_CATEGORY.clear()
for cmd in COMMAND_REGISTRY:
if not cmd.gateway_only:
cat = COMMANDS_BY_CATEGORY.setdefault(cmd.category, {})
cat[f"/{cmd.name}"] = COMMANDS[f"/{cmd.name}"]
for alias in cmd.aliases:
cat[f"/{alias}"] = COMMANDS[f"/{alias}"]
SUBCOMMANDS.clear()
for cmd in COMMAND_REGISTRY:
if cmd.subcommands:
SUBCOMMANDS[f"/{cmd.name}"] = list(cmd.subcommands)
for cmd in COMMAND_REGISTRY:
key = f"/{cmd.name}"
if key in SUBCOMMANDS or not cmd.args_hint:
continue
m = _PIPE_SUBS_RE.search(cmd.args_hint)
if m:
SUBCOMMANDS[key] = m.group(0).split("|")
GATEWAY_KNOWN_COMMANDS = frozenset(
name
for cmd in COMMAND_REGISTRY
if not cmd.cli_only or cmd.gateway_config_gate
for name in (cmd.name, *cmd.aliases)
)
def _build_description(cmd: CommandDef) -> str:
"""Build a CLI-facing description string including usage hint."""
if cmd.args_hint:
@@ -625,6 +582,116 @@ def discord_skill_commands(
)
def discord_skill_commands_by_category(
reserved_names: set[str],
) -> tuple[dict[str, list[tuple[str, str, str]]], list[tuple[str, str, str]], int]:
"""Return skill entries organized by category for Discord ``/skill`` subcommand groups.
Skills whose directory is nested at least 2 levels under ``SKILLS_DIR``
(e.g. ``creative/ascii-art/SKILL.md``) are grouped by their top-level
category. Root-level skills (e.g. ``dogfood/SKILL.md``) are returned as
*uncategorized* the caller should register them as direct subcommands
of the ``/skill`` group.
The same filtering as :func:`discord_skill_commands` is applied: hub
skills excluded, per-platform disabled excluded, names clamped.
Returns:
``(categories, uncategorized, hidden_count)``
- *categories*: ``{category_name: [(name, description, cmd_key), ...]}``
- *uncategorized*: ``[(name, description, cmd_key), ...]``
- *hidden_count*: skills dropped due to Discord group limits
(25 subcommand groups, 25 subcommands per group)
"""
from pathlib import Path as _P
_platform_disabled: set[str] = set()
try:
from agent.skill_utils import get_disabled_skill_names
_platform_disabled = get_disabled_skill_names(platform="discord")
except Exception:
pass
# Collect raw skill data --------------------------------------------------
categories: dict[str, list[tuple[str, str, str]]] = {}
uncategorized: list[tuple[str, str, str]] = []
_names_used: set[str] = set(reserved_names)
hidden = 0
try:
from agent.skill_commands import get_skill_commands
from tools.skills_tool import SKILLS_DIR
_skills_dir = SKILLS_DIR.resolve()
_hub_dir = (SKILLS_DIR / ".hub").resolve()
skill_cmds = get_skill_commands()
for cmd_key in sorted(skill_cmds):
info = skill_cmds[cmd_key]
skill_path = info.get("skill_md_path", "")
if not skill_path:
continue
sp = _P(skill_path).resolve()
# Skip skills outside SKILLS_DIR or from the hub
if not str(sp).startswith(str(_skills_dir)):
continue
if str(sp).startswith(str(_hub_dir)):
continue
skill_name = info.get("name", "")
if skill_name in _platform_disabled:
continue
raw_name = cmd_key.lstrip("/")
# Clamp to 32 chars (Discord limit)
discord_name = raw_name[:32]
if discord_name in _names_used:
continue
_names_used.add(discord_name)
desc = info.get("description", "")
if len(desc) > 100:
desc = desc[:97] + "..."
# Determine category from the relative path within SKILLS_DIR.
# e.g. creative/ascii-art/SKILL.md → parts = ("creative", "ascii-art")
try:
rel = sp.parent.relative_to(_skills_dir)
except ValueError:
continue
parts = rel.parts
if len(parts) >= 2:
cat = parts[0]
categories.setdefault(cat, []).append((discord_name, desc, cmd_key))
else:
uncategorized.append((discord_name, desc, cmd_key))
except Exception:
pass
# Enforce Discord limits: 25 subcommand groups, 25 subcommands each ------
_MAX_GROUPS = 25
_MAX_PER_GROUP = 25
trimmed_categories: dict[str, list[tuple[str, str, str]]] = {}
group_count = 0
for cat in sorted(categories):
if group_count >= _MAX_GROUPS:
hidden += len(categories[cat])
continue
entries = categories[cat][:_MAX_PER_GROUP]
hidden += max(0, len(categories[cat]) - _MAX_PER_GROUP)
trimmed_categories[cat] = entries
group_count += 1
# Uncategorized skills also count against the 25 top-level limit
remaining_slots = _MAX_GROUPS - group_count
if len(uncategorized) > remaining_slots:
hidden += len(uncategorized) - remaining_slots
uncategorized = uncategorized[:remaining_slots]
return trimmed_categories, uncategorized, hidden
def slack_subcommand_map() -> dict[str, str]:
"""Return subcommand -> /command mapping for Slack /hermes handler.
@@ -656,6 +723,10 @@ class SlashCommandCompleter(Completer):
) -> None:
self._skill_commands_provider = skill_commands_provider
self._command_filter = command_filter
# Cached project file list for fuzzy @ completions
self._file_cache: list[str] = []
self._file_cache_time: float = 0.0
self._file_cache_cwd: str = ""
def _command_allowed(self, slash_command: str) -> bool:
if self._command_filter is None:
@@ -773,8 +844,7 @@ class SlashCommandCompleter(Completer):
return None
return word
@staticmethod
def _context_completions(word: str, limit: int = 30):
def _context_completions(self, word: str, limit: int = 30):
"""Yield Claude Code-style @ context completions.
Bare ``@`` or ``@partial`` shows static references and matching
@@ -840,46 +910,138 @@ class SlashCommandCompleter(Completer):
count += 1
return
# Bare @ or @partial — show matching files/folders from cwd
# Bare @ or @partial — fuzzy project-wide file search
query = word[1:] # strip the @
if not query:
search_dir, match_prefix = ".", ""
else:
expanded = os.path.expanduser(query)
if expanded.endswith("/"):
search_dir, match_prefix = expanded, ""
else:
search_dir = os.path.dirname(expanded) or "."
match_prefix = os.path.basename(expanded)
yield from self._fuzzy_file_completions(word, query, limit)
try:
entries = os.listdir(search_dir)
except OSError:
def _get_project_files(self) -> list[str]:
"""Return cached list of project files (refreshed every 5s)."""
cwd = os.getcwd()
now = time.monotonic()
if (
self._file_cache
and self._file_cache_cwd == cwd
and now - self._file_cache_time < 5.0
):
return self._file_cache
files: list[str] = []
# Try rg first (fast, respects .gitignore), then fd, then find.
for cmd in [
["rg", "--files", "--sortr=modified", cwd],
["rg", "--files", cwd],
["fd", "--type", "f", "--base-directory", cwd],
]:
tool = cmd[0]
if not shutil.which(tool):
continue
try:
proc = subprocess.run(
cmd, capture_output=True, text=True, timeout=2,
cwd=cwd,
)
if proc.returncode == 0 and proc.stdout.strip():
raw = proc.stdout.strip().split("\n")
# Store relative paths
for p in raw[:5000]:
rel = os.path.relpath(p, cwd) if os.path.isabs(p) else p
files.append(rel)
break
except (subprocess.TimeoutExpired, OSError):
continue
self._file_cache = files
self._file_cache_time = now
self._file_cache_cwd = cwd
return files
@staticmethod
def _score_path(filepath: str, query: str) -> int:
"""Score a file path against a fuzzy query. Higher = better match."""
if not query:
return 1 # show everything when query is empty
filename = os.path.basename(filepath)
lower_file = filename.lower()
lower_path = filepath.lower()
lower_q = query.lower()
# Exact filename match
if lower_file == lower_q:
return 100
# Filename starts with query
if lower_file.startswith(lower_q):
return 80
# Filename contains query as substring
if lower_q in lower_file:
return 60
# Full path contains query
if lower_q in lower_path:
return 40
# Initials / abbreviation match: e.g. "fo" matches "file_operations"
# Check if query chars appear in order in filename
qi = 0
for c in lower_file:
if qi < len(lower_q) and c == lower_q[qi]:
qi += 1
if qi == len(lower_q):
# Bonus if matches land on word boundaries (after _, -, /, .)
boundary_hits = 0
qi = 0
prev = "_" # treat start as boundary
for c in lower_file:
if qi < len(lower_q) and c == lower_q[qi]:
if prev in "_-./":
boundary_hits += 1
qi += 1
prev = c
if boundary_hits >= len(lower_q) * 0.5:
return 35
return 25
return 0
def _fuzzy_file_completions(self, word: str, query: str, limit: int = 20):
"""Yield fuzzy file completions for bare @query."""
files = self._get_project_files()
if not query:
# No query — show recently modified files (already sorted by mtime)
for fp in files[:limit]:
is_dir = fp.endswith("/")
filename = os.path.basename(fp)
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(
os.path.join(os.getcwd(), fp)
)
yield Completion(
f"@{kind}:{fp}",
start_position=-len(word),
display=filename,
display_meta=meta,
)
return
count = 0
prefix_lower = match_prefix.lower()
for entry in sorted(entries):
if match_prefix and not entry.lower().startswith(prefix_lower):
continue
if entry.startswith("."):
continue # skip hidden files in bare @ mode
if count >= limit:
break
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
display_path = os.path.relpath(full_path)
suffix = "/" if is_dir else ""
# Score and rank
scored = []
for fp in files:
s = self._score_path(fp, query)
if s > 0:
scored.append((s, fp))
scored.sort(key=lambda x: (-x[0], x[1]))
for _, fp in scored[:limit]:
is_dir = fp.endswith("/")
filename = os.path.basename(fp)
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(full_path)
completion = f"@{kind}:{display_path}{suffix}"
yield Completion(
completion,
start_position=-len(word),
display=entry + suffix,
display_meta=meta,
meta = "dir" if is_dir else _file_size_label(
os.path.join(os.getcwd(), fp)
)
yield Completion(
f"@{kind}:{fp}",
start_position=-len(word),
display=filename,
display_meta=f"{fp} {meta}" if meta else fp,
)
count += 1
def _model_completions(self, sub_text: str, sub_lower: str):
"""Yield completions for /model from config aliases + built-in aliases."""
+315
View File
@@ -0,0 +1,315 @@
"""Shell completion script generation for hermes CLI.
Walks the live argparse parser tree to generate accurate, always-up-to-date
completion scripts no hardcoded subcommand lists, no extra dependencies.
Supports bash, zsh, and fish.
"""
from __future__ import annotations
import argparse
from typing import Any
def _walk(parser: argparse.ArgumentParser) -> dict[str, Any]:
"""Recursively extract subcommands and flags from a parser.
Uses _SubParsersAction._choices_actions to get canonical names (no aliases)
along with their help text.
"""
flags: list[str] = []
subcommands: dict[str, Any] = {}
for action in parser._actions:
if isinstance(action, argparse._SubParsersAction):
# _choices_actions has one entry per canonical name; aliases are
# omitted, which keeps completion lists clean.
seen: set[str] = set()
for pseudo in action._choices_actions:
name = pseudo.dest
if name in seen:
continue
seen.add(name)
subparser = action.choices.get(name)
if subparser is None:
continue
info = _walk(subparser)
info["help"] = _clean(pseudo.help or "")
subcommands[name] = info
elif action.option_strings:
flags.extend(o for o in action.option_strings if o.startswith("-"))
return {"flags": flags, "subcommands": subcommands}
def _clean(text: str, maxlen: int = 60) -> str:
"""Strip shell-unsafe characters and truncate."""
return text.replace("'", "").replace('"', "").replace("\\", "")[:maxlen]
# ---------------------------------------------------------------------------
# Bash
# ---------------------------------------------------------------------------
def generate_bash(parser: argparse.ArgumentParser) -> str:
tree = _walk(parser)
top_cmds = " ".join(sorted(tree["subcommands"]))
cases: list[str] = []
for cmd in sorted(tree["subcommands"]):
info = tree["subcommands"][cmd]
if cmd == "profile" and info["subcommands"]:
# Profile subcommand: complete actions, then profile names for
# actions that accept a profile argument.
subcmds = " ".join(sorted(info["subcommands"]))
profile_actions = "use delete show alias rename export"
cases.append(
f" profile)\n"
f" case \"$prev\" in\n"
f" profile)\n"
f" COMPREPLY=($(compgen -W \"{subcmds}\" -- \"$cur\"))\n"
f" return\n"
f" ;;\n"
f" {profile_actions.replace(' ', '|')})\n"
f" COMPREPLY=($(compgen -W \"$(_hermes_profiles)\" -- \"$cur\"))\n"
f" return\n"
f" ;;\n"
f" esac\n"
f" ;;"
)
elif info["subcommands"]:
subcmds = " ".join(sorted(info["subcommands"]))
cases.append(
f" {cmd})\n"
f" COMPREPLY=($(compgen -W \"{subcmds}\" -- \"$cur\"))\n"
f" return\n"
f" ;;"
)
elif info["flags"]:
flags = " ".join(info["flags"])
cases.append(
f" {cmd})\n"
f" COMPREPLY=($(compgen -W \"{flags}\" -- \"$cur\"))\n"
f" return\n"
f" ;;"
)
cases_str = "\n".join(cases)
return f"""# Hermes Agent bash completion
# Add to ~/.bashrc:
# eval "$(hermes completion bash)"
_hermes_profiles() {{
local profiles_dir="$HOME/.hermes/profiles"
local profiles="default"
if [ -d "$profiles_dir" ]; then
profiles="$profiles $(ls "$profiles_dir" 2>/dev/null)"
fi
echo "$profiles"
}}
_hermes_completion() {{
local cur prev
COMPREPLY=()
cur="${{COMP_WORDS[COMP_CWORD]}}"
prev="${{COMP_WORDS[COMP_CWORD-1]}}"
# Complete profile names after -p / --profile
if [[ "$prev" == "-p" || "$prev" == "--profile" ]]; then
COMPREPLY=($(compgen -W "$(_hermes_profiles)" -- "$cur"))
return
fi
if [[ $COMP_CWORD -ge 2 ]]; then
case "${{COMP_WORDS[1]}}" in
{cases_str}
esac
fi
if [[ $COMP_CWORD -eq 1 ]]; then
COMPREPLY=($(compgen -W "{top_cmds}" -- "$cur"))
fi
}}
complete -F _hermes_completion hermes
"""
# ---------------------------------------------------------------------------
# Zsh
# ---------------------------------------------------------------------------
def generate_zsh(parser: argparse.ArgumentParser) -> str:
tree = _walk(parser)
top_cmds_lines: list[str] = []
for cmd in sorted(tree["subcommands"]):
help_text = _clean(tree["subcommands"][cmd].get("help", ""))
top_cmds_lines.append(f" '{cmd}:{help_text}'")
top_cmds_str = "\n".join(top_cmds_lines)
sub_cases: list[str] = []
for cmd in sorted(tree["subcommands"]):
info = tree["subcommands"][cmd]
if not info["subcommands"]:
continue
if cmd == "profile":
# Profile subcommand: complete actions, then profile names for
# actions that accept a profile argument.
sub_lines: list[str] = []
for sc in sorted(info["subcommands"]):
sh = _clean(info["subcommands"][sc].get("help", ""))
sub_lines.append(f" '{sc}:{sh}'")
sub_str = "\n".join(sub_lines)
sub_cases.append(
f" profile)\n"
f" case ${{line[2]}} in\n"
f" use|delete|show|alias|rename|export)\n"
f" _hermes_profiles\n"
f" ;;\n"
f" *)\n"
f" local -a profile_cmds\n"
f" profile_cmds=(\n"
f"{sub_str}\n"
f" )\n"
f" _describe 'profile command' profile_cmds\n"
f" ;;\n"
f" esac\n"
f" ;;"
)
else:
sub_lines = []
for sc in sorted(info["subcommands"]):
sh = _clean(info["subcommands"][sc].get("help", ""))
sub_lines.append(f" '{sc}:{sh}'")
sub_str = "\n".join(sub_lines)
safe = cmd.replace("-", "_")
sub_cases.append(
f" {cmd})\n"
f" local -a {safe}_cmds\n"
f" {safe}_cmds=(\n"
f"{sub_str}\n"
f" )\n"
f" _describe '{cmd} command' {safe}_cmds\n"
f" ;;"
)
sub_cases_str = "\n".join(sub_cases)
return f"""#compdef hermes
# Hermes Agent zsh completion
# Add to ~/.zshrc:
# eval "$(hermes completion zsh)"
_hermes_profiles() {{
local -a profiles
profiles=(default)
if [[ -d "$HOME/.hermes/profiles" ]]; then
profiles+=("${{(@f)$(ls $HOME/.hermes/profiles 2>/dev/null)}}")
fi
_describe 'profile' profiles
}}
_hermes() {{
local context state line
typeset -A opt_args
_arguments -C \\
'(-h --help){{-h,--help}}[Show help and exit]' \\
'(-V --version){{-V,--version}}[Show version and exit]' \\
'(-p --profile){{-p,--profile}}[Profile name]:profile:_hermes_profiles' \\
'1:command:->commands' \\
'*::arg:->args'
case $state in
commands)
local -a subcmds
subcmds=(
{top_cmds_str}
)
_describe 'hermes command' subcmds
;;
args)
case ${{line[1]}} in
{sub_cases_str}
esac
;;
esac
}}
_hermes "$@"
"""
# ---------------------------------------------------------------------------
# Fish
# ---------------------------------------------------------------------------
def generate_fish(parser: argparse.ArgumentParser) -> str:
tree = _walk(parser)
top_cmds = sorted(tree["subcommands"])
top_cmds_str = " ".join(top_cmds)
lines: list[str] = [
"# Hermes Agent fish completion",
"# Add to your config:",
"# hermes completion fish | source",
"",
"# Helper: list available profiles",
"function __hermes_profiles",
" echo default",
" if test -d $HOME/.hermes/profiles",
" ls $HOME/.hermes/profiles 2>/dev/null",
" end",
"end",
"",
"# Disable file completion by default",
"complete -c hermes -f",
"",
"# Complete profile names after -p / --profile",
"complete -c hermes -f -s p -l profile"
" -d 'Profile name' -xa '(__hermes_profiles)'",
"",
"# Top-level subcommands",
]
for cmd in top_cmds:
info = tree["subcommands"][cmd]
help_text = _clean(info.get("help", ""))
lines.append(
f"complete -c hermes -f "
f"-n 'not __fish_seen_subcommand_from {top_cmds_str}' "
f"-a {cmd} -d '{help_text}'"
)
lines.append("")
lines.append("# Subcommand completions")
profile_name_actions = {"use", "delete", "show", "alias", "rename", "export"}
for cmd in top_cmds:
info = tree["subcommands"][cmd]
if not info["subcommands"]:
continue
lines.append(f"# {cmd}")
for sc in sorted(info["subcommands"]):
sinfo = info["subcommands"][sc]
sh = _clean(sinfo.get("help", ""))
lines.append(
f"complete -c hermes -f "
f"-n '__fish_seen_subcommand_from {cmd}' "
f"-a {sc} -d '{sh}'"
)
# For profile subcommand, complete profile names for relevant actions
if cmd == "profile":
for action in sorted(profile_name_actions):
lines.append(
f"complete -c hermes -f "
f"-n '__fish_seen_subcommand_from {action}; "
f"and __fish_seen_subcommand_from profile' "
f"-a '(__hermes_profiles)' -d 'Profile name'"
)
lines.append("")
return "\n".join(lines)
+128 -2
View File
@@ -45,6 +45,9 @@ _EXTRA_ENV_KEYS = frozenset({
"WEIXIN_HOME_CHANNEL", "WEIXIN_HOME_CHANNEL_NAME", "WEIXIN_DM_POLICY", "WEIXIN_GROUP_POLICY",
"WEIXIN_ALLOWED_USERS", "WEIXIN_GROUP_ALLOWED_USERS", "WEIXIN_ALLOW_ALL_USERS",
"BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_PASSWORD",
"QQ_APP_ID", "QQ_CLIENT_SECRET", "QQ_HOME_CHANNEL", "QQ_HOME_CHANNEL_NAME",
"QQ_ALLOWED_USERS", "QQ_GROUP_ALLOWED_USERS", "QQ_ALLOW_ALL_USERS", "QQ_MARKDOWN_SUPPORT",
"QQ_STT_API_KEY", "QQ_STT_BASE_URL", "QQ_STT_MODEL",
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
@@ -824,6 +827,22 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"ARCEEAI_API_KEY": {
"description": "Arcee AI API key",
"prompt": "Arcee AI API key",
"url": "https://chat.arcee.ai/",
"password": True,
"category": "provider",
"advanced": True,
},
"ARCEE_BASE_URL": {
"description": "Arcee AI base URL override",
"prompt": "Arcee base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"MINIMAX_API_KEY": {
"description": "MiniMax API key (international)",
"prompt": "MiniMax API key",
@@ -1176,7 +1195,7 @@ OPTIONAL_ENV_VARS = {
"SLACK_BOT_TOKEN": {
"description": "Slack bot token (xoxb-). Get from OAuth & Permissions after installing your app. "
"Required scopes: chat:write, app_mentions:read, channels:history, groups:history, "
"im:history, im:read, im:write, users:read, files:write",
"im:history, im:read, im:write, users:read, files:read, files:write",
"prompt": "Slack Bot Token (xoxb-...)",
"url": "https://api.slack.com/apps",
"password": True,
@@ -1315,6 +1334,53 @@ OPTIONAL_ENV_VARS = {
"password": False,
"category": "messaging",
},
"BLUEBUBBLES_ALLOW_ALL_USERS": {
"description": "Allow all BlueBubbles users without allowlist",
"prompt": "Allow All BlueBubbles Users",
"category": "messaging",
},
"QQ_APP_ID": {
"description": "QQ Bot App ID from QQ Open Platform (q.qq.com)",
"prompt": "QQ App ID",
"url": "https://q.qq.com",
"category": "messaging",
},
"QQ_CLIENT_SECRET": {
"description": "QQ Bot Client Secret from QQ Open Platform",
"prompt": "QQ Client Secret",
"password": True,
"category": "messaging",
},
"QQ_ALLOWED_USERS": {
"description": "Comma-separated QQ user IDs allowed to use the bot",
"prompt": "QQ Allowed Users",
"category": "messaging",
},
"QQ_GROUP_ALLOWED_USERS": {
"description": "Comma-separated QQ group IDs allowed to interact with the bot",
"prompt": "QQ Group Allowed Users",
"category": "messaging",
},
"QQ_ALLOW_ALL_USERS": {
"description": "Allow all QQ users without an allowlist (true/false)",
"prompt": "Allow All QQ Users",
"category": "messaging",
},
"QQ_HOME_CHANNEL": {
"description": "Default QQ channel/group for cron delivery and notifications",
"prompt": "QQ Home Channel",
"category": "messaging",
},
"QQ_HOME_CHANNEL_NAME": {
"description": "Display name for the QQ home channel",
"prompt": "QQ Home Channel Name",
"category": "messaging",
},
"QQ_SANDBOX": {
"description": "Enable QQ sandbox mode for development testing (true/false)",
"prompt": "QQ Sandbox Mode",
"category": "messaging",
},
"GATEWAY_ALLOW_ALL_USERS": {
"description": "Allow all users to interact with messaging bots (true/false). Default: false.",
"prompt": "Allow all users (true/false)",
@@ -1363,6 +1429,22 @@ OPTIONAL_ENV_VARS = {
"category": "messaging",
"advanced": True,
},
"GATEWAY_PROXY_URL": {
"description": "URL of a remote Hermes API server to forward messages to (proxy mode). When set, the gateway handles platform I/O only — all agent work is delegated to the remote server. Use for Docker E2EE containers that relay to a host agent. Also configurable via gateway.proxy_url in config.yaml.",
"prompt": "Remote Hermes API server URL (e.g. http://192.168.1.100:8642)",
"url": None,
"password": False,
"category": "messaging",
"advanced": True,
},
"GATEWAY_PROXY_KEY": {
"description": "Bearer token for authenticating with the remote Hermes API server (proxy mode). Must match the API_SERVER_KEY on the remote host.",
"prompt": "Remote API server auth key",
"url": None,
"password": True,
"category": "messaging",
"advanced": True,
},
"WEBHOOK_ENABLED": {
"description": "Enable the webhook platform adapter for receiving events from GitHub, GitLab, etc.",
"prompt": "Enable webhooks (true/false)",
@@ -1656,7 +1738,8 @@ def get_compatible_custom_providers(
provider_key = str(entry.get("provider_key", "") or "").strip().lower()
name = str(entry.get("name", "") or "").strip().lower()
base_url = str(entry.get("base_url", "") or "").strip().rstrip("/").lower()
pair = (name, base_url)
model = str(entry.get("model", "") or "").strip().lower()
pair = (name, base_url, model)
if provider_key and provider_key in seen_provider_keys:
return
@@ -2683,6 +2766,47 @@ def sanitize_env_file() -> int:
return fixes
def _check_non_ascii_credential(key: str, value: str) -> str:
"""Warn and strip non-ASCII characters from credential values.
API keys and tokens must be pure ASCII they are sent as HTTP header
values which httpx/httpcore encode as ASCII. Non-ASCII characters
(commonly introduced by copy-pasting from rich-text editors or PDFs
that substitute lookalike Unicode glyphs for ASCII letters) cause
``UnicodeEncodeError: 'ascii' codec can't encode character`` at
request time.
Returns the sanitized (ASCII-only) value. Prints a warning if any
non-ASCII characters were found and removed.
"""
try:
value.encode("ascii")
return value # all ASCII — nothing to do
except UnicodeEncodeError:
pass
# Build a readable list of the offending characters
bad_chars: list[str] = []
for i, ch in enumerate(value):
if ord(ch) > 127:
bad_chars.append(f" position {i}: {ch!r} (U+{ord(ch):04X})")
sanitized = value.encode("ascii", errors="ignore").decode("ascii")
import sys
print(
f"\n Warning: {key} contains non-ASCII characters that will break API requests.\n"
f" This usually happens when copy-pasting from a PDF, rich-text editor,\n"
f" or web page that substitutes lookalike Unicode glyphs for ASCII letters.\n"
f"\n"
+ "\n".join(f" {line}" for line in bad_chars[:5])
+ ("\n ... and more" if len(bad_chars) > 5 else "")
+ f"\n\n The non-ASCII characters have been stripped automatically.\n"
f" If authentication fails, re-copy the key from the provider's dashboard.\n",
file=sys.stderr,
)
return sanitized
def save_env_value(key: str, value: str):
"""Save or update a value in ~/.hermes/.env."""
if is_managed():
@@ -2691,6 +2815,8 @@ def save_env_value(key: str, value: str):
if not _ENV_VAR_NAME_RE.match(key):
raise ValueError(f"Invalid environment variable name: {key!r}")
value = value.replace("\n", "").replace("\r", "")
# API keys / tokens must be ASCII — strip non-ASCII with a warning.
value = _check_non_ascii_credential(key, value)
ensure_hermes_home()
env_path = get_env_path()
+86 -3
View File
@@ -8,6 +8,7 @@ import os
import sys
import subprocess
import shutil
from pathlib import Path
from hermes_cli.config import get_project_root, get_hermes_home, get_env_path
from hermes_constants import display_hermes_home
@@ -42,6 +43,7 @@ _PROVIDER_ENV_HINTS = (
"ZAI_API_KEY",
"Z_AI_API_KEY",
"KIMI_API_KEY",
"KIMI_CN_API_KEY",
"MINIMAX_API_KEY",
"MINIMAX_CN_API_KEY",
"KILOCODE_API_KEY",
@@ -512,7 +514,87 @@ def run_doctor(args):
pass
_check_gateway_service_linger(issues)
# =========================================================================
# Check: Command installation (hermes bin symlink)
# =========================================================================
if sys.platform != "win32":
print()
print(color("◆ Command Installation", Colors.CYAN, Colors.BOLD))
# Determine the venv entry point location
_venv_bin = None
for _venv_name in ("venv", ".venv"):
_candidate = PROJECT_ROOT / _venv_name / "bin" / "hermes"
if _candidate.exists():
_venv_bin = _candidate
break
# Determine the expected command link directory (mirrors install.sh logic)
_prefix = os.environ.get("PREFIX", "")
_is_termux_env = bool(os.environ.get("TERMUX_VERSION")) or "com.termux/files/usr" in _prefix
if _is_termux_env and _prefix:
_cmd_link_dir = Path(_prefix) / "bin"
_cmd_link_display = "$PREFIX/bin"
else:
_cmd_link_dir = Path.home() / ".local" / "bin"
_cmd_link_display = "~/.local/bin"
_cmd_link = _cmd_link_dir / "hermes"
if _venv_bin is None:
check_warn(
"Venv entry point not found",
"(hermes not in venv/bin/ or .venv/bin/ — reinstall with pip install -e '.[all]')"
)
manual_issues.append(
f"Reinstall entry point: cd {PROJECT_ROOT} && source venv/bin/activate && pip install -e '.[all]'"
)
else:
check_ok(f"Venv entry point exists ({_venv_bin.relative_to(PROJECT_ROOT)})")
# Check the symlink at the command link location
if _cmd_link.is_symlink():
_target = _cmd_link.resolve()
_expected = _venv_bin.resolve()
if _target == _expected:
check_ok(f"{_cmd_link_display}/hermes → correct target")
else:
check_warn(
f"{_cmd_link_display}/hermes points to wrong target",
f"(→ {_target}, expected → {_expected})"
)
if should_fix:
_cmd_link.unlink()
_cmd_link.symlink_to(_venv_bin)
check_ok(f"Fixed symlink: {_cmd_link_display}/hermes → {_venv_bin}")
fixed_count += 1
else:
issues.append(f"Broken symlink at {_cmd_link_display}/hermes — run 'hermes doctor --fix'")
elif _cmd_link.exists():
# It's a regular file, not a symlink — possibly a wrapper script
check_ok(f"{_cmd_link_display}/hermes exists (non-symlink)")
else:
check_fail(
f"{_cmd_link_display}/hermes not found",
"(hermes command may not work outside the venv)"
)
if should_fix:
_cmd_link_dir.mkdir(parents=True, exist_ok=True)
_cmd_link.symlink_to(_venv_bin)
check_ok(f"Created symlink: {_cmd_link_display}/hermes → {_venv_bin}")
fixed_count += 1
# Check if the link dir is on PATH
_path_dirs = os.environ.get("PATH", "").split(os.pathsep)
if str(_cmd_link_dir) not in _path_dirs:
check_warn(
f"{_cmd_link_display} is not on your PATH",
"(add it to your shell config: export PATH=\"$HOME/.local/bin:$PATH\")"
)
manual_issues.append(f"Add {_cmd_link_display} to your PATH")
else:
issues.append(f"Missing {_cmd_link_display}/hermes symlink — run 'hermes doctor --fix'")
# =========================================================================
# Check: External tools
# =========================================================================
@@ -722,13 +804,14 @@ def run_doctor(args):
("Z.AI / GLM", ("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"), "https://api.z.ai/api/paas/v4/models", "GLM_BASE_URL", True),
("Kimi / Moonshot", ("KIMI_API_KEY",), "https://api.moonshot.ai/v1/models", "KIMI_BASE_URL", True),
("Kimi / Moonshot (China)", ("KIMI_CN_API_KEY",), "https://api.moonshot.cn/v1/models", None, True),
("Arcee AI", ("ARCEEAI_API_KEY",), "https://api.arcee.ai/api/v1/models", "ARCEE_BASE_URL", True),
("DeepSeek", ("DEEPSEEK_API_KEY",), "https://api.deepseek.com/v1/models", "DEEPSEEK_BASE_URL", True),
("Hugging Face", ("HF_TOKEN",), "https://router.huggingface.co/v1/models", "HF_BASE_URL", True),
("Alibaba/DashScope", ("DASHSCOPE_API_KEY",), "https://dashscope-intl.aliyuncs.com/compatible-mode/v1/models", "DASHSCOPE_BASE_URL", True),
# MiniMax: the /anthropic endpoint doesn't support /models, but the /v1 endpoint does.
("MiniMax", ("MINIMAX_API_KEY",), "https://api.minimax.io/v1/models", "MINIMAX_BASE_URL", True),
("MiniMax (China)", ("MINIMAX_CN_API_KEY",), "https://api.minimaxi.com/v1/models", "MINIMAX_CN_BASE_URL", True),
("AI Gateway", ("AI_GATEWAY_API_KEY",), "https://ai-gateway.vercel.sh/v1/models", "AI_GATEWAY_BASE_URL", True),
("Vercel AI Gateway", ("AI_GATEWAY_API_KEY",), "https://ai-gateway.vercel.sh/v1/models", "AI_GATEWAY_BASE_URL", True),
("Kilo Code", ("KILOCODE_API_KEY",), "https://api.kilo.ai/api/gateway/models", "KILOCODE_BASE_URL", True),
("OpenCode Zen", ("OPENCODE_ZEN_API_KEY",), "https://opencode.ai/zen/v1/models", "OPENCODE_ZEN_BASE_URL", True),
("OpenCode Go", ("OPENCODE_GO_API_KEY",), "https://opencode.ai/zen/go/v1/models", "OPENCODE_GO_BASE_URL", True),
@@ -748,7 +831,7 @@ def run_doctor(args):
print(f" Checking {_pname} API...", end="", flush=True)
try:
import httpx
_base = os.getenv(_base_env, "")
_base = os.getenv(_base_env, "") if _base_env else ""
# Auto-detect Kimi Code keys (sk-kimi-) → api.kimi.com
if not _base and _key.startswith("sk-kimi-"):
_base = "https://api.kimi.com/coding/v1"
+1
View File
@@ -131,6 +131,7 @@ def _configured_platforms() -> list[str]:
"wecom": "WECOM_BOT_ID",
"wecom_callback": "WECOM_CALLBACK_CORP_ID",
"weixin": "WEIXIN_ACCOUNT_ID",
"qqbot": "QQ_APP_ID",
}
return [name for name, env in checks.items() if os.getenv(env)]
+29
View File
@@ -8,11 +8,40 @@ from pathlib import Path
from dotenv import load_dotenv
# Env var name suffixes that indicate credential values. These are the
# only env vars whose values we sanitize on load — we must not silently
# alter arbitrary user env vars, but credentials are known to require
# pure ASCII (they become HTTP header values).
_CREDENTIAL_SUFFIXES = ("_API_KEY", "_TOKEN", "_SECRET", "_KEY")
def _sanitize_loaded_credentials() -> None:
"""Strip non-ASCII characters from credential env vars in os.environ.
Called after dotenv loads so the rest of the codebase never sees
non-ASCII API keys. Only touches env vars whose names end with
known credential suffixes (``_API_KEY``, ``_TOKEN``, etc.).
"""
for key, value in list(os.environ.items()):
if not any(key.endswith(suffix) for suffix in _CREDENTIAL_SUFFIXES):
continue
try:
value.encode("ascii")
except UnicodeEncodeError:
os.environ[key] = value.encode("ascii", errors="ignore").decode("ascii")
def _load_dotenv_with_fallback(path: Path, *, override: bool) -> None:
try:
load_dotenv(dotenv_path=path, override=override, encoding="utf-8")
except UnicodeDecodeError:
load_dotenv(dotenv_path=path, override=override, encoding="latin-1")
# Strip non-ASCII characters from credential env vars that were just
# loaded. API keys must be pure ASCII since they're sent as HTTP
# header values (httpx encodes headers as ASCII). Non-ASCII chars
# typically come from copy-pasting keys from PDFs or rich-text editors
# that substitute Unicode lookalike glyphs (e.g. ʋ U+028B for v).
_sanitize_loaded_credentials()
def _sanitize_env_file_if_needed(path: Path) -> None:
+133 -3
View File
@@ -715,7 +715,9 @@ def _detect_venv_dir() -> Path | None:
"""Detect the active virtualenv directory.
Checks ``sys.prefix`` first (works regardless of the directory name),
then falls back to probing common directory names under PROJECT_ROOT.
then ``VIRTUAL_ENV`` env var (covers uv-managed environments where
sys.prefix == sys.base_prefix), then falls back to probing common
directory names under PROJECT_ROOT.
Returns ``None`` when no virtualenv can be found.
"""
# If we're running inside a virtualenv, sys.prefix points to it.
@@ -724,6 +726,15 @@ def _detect_venv_dir() -> Path | None:
if venv.is_dir():
return venv
# uv and some other tools set VIRTUAL_ENV without changing sys.prefix.
# This catches `uv run` where sys.prefix == sys.base_prefix but the
# environment IS a venv. (#8620)
_virtual_env = os.environ.get("VIRTUAL_ENV")
if _virtual_env:
venv = Path(_virtual_env)
if venv.is_dir():
return venv
# Fallback: check common virtualenv directory names under the project root.
for candidate in (".venv", "venv"):
venv = PROJECT_ROOT / candidate
@@ -1128,7 +1139,62 @@ def systemd_restart(system: bool = False):
pid = get_running_pid()
if pid is not None and _request_gateway_self_restart(pid):
print(f"{_service_scope_label(system).capitalize()} service restart requested")
# SIGUSR1 sent — the gateway will drain active agents, exit with
# code 75, and systemd will restart it after RestartSec (30s).
# Wait for the old process to die and the new one to become active
# so the CLI doesn't return while the service is still restarting.
import time
scope_label = _service_scope_label(system).capitalize()
svc = get_service_name()
scope_cmd = _systemctl_cmd(system)
# Phase 1: wait for old process to exit (drain + shutdown)
print(f"{scope_label} service draining active work...")
deadline = time.time() + 90
while time.time() < deadline:
try:
os.kill(pid, 0)
time.sleep(1)
except (ProcessLookupError, PermissionError):
break # old process is gone
else:
print(f"⚠ Old process (PID {pid}) still alive after 90s")
# Phase 2: wait for systemd to start the new process
print(f"⏳ Waiting for {svc} to restart...")
deadline = time.time() + 60
while time.time() < deadline:
try:
result = subprocess.run(
scope_cmd + ["is-active", svc],
capture_output=True, text=True, timeout=5,
)
if result.stdout.strip() == "active":
# Verify it's a NEW process, not the old one somehow
new_pid = get_running_pid()
if new_pid and new_pid != pid:
print(f"{scope_label} service restarted (PID {new_pid})")
return
except (subprocess.TimeoutExpired, FileNotFoundError):
pass
time.sleep(2)
# Timed out — check final state
try:
result = subprocess.run(
scope_cmd + ["is-active", svc],
capture_output=True, text=True, timeout=5,
)
if result.stdout.strip() == "active":
print(f"{scope_label} service restarted")
return
except Exception:
pass
print(
f"{scope_label} service did not become active within 60s.\n"
f" Check status: {'sudo ' if system else ''}hermes gateway status\n"
f" Check logs: journalctl {'--user ' if not system else ''}-u {svc} --since '2 min ago'"
)
return
_run_systemctl(["reload-or-restart", get_service_name()], system=system, check=True, timeout=90)
print(f"{_service_scope_label(system).capitalize()} service restarted")
@@ -1634,7 +1700,7 @@ _PLATFORMS = [
" Create an App-Level Token with scope: connections:write → copy xapp-... token",
"3. Add Bot Token Scopes: Features → OAuth & Permissions → Scopes",
" Required: chat:write, app_mentions:read, channels:history, channels:read,",
" groups:history, im:history, im:read, im:write, users:read, files:write",
" groups:history, im:history, im:read, im:write, users:read, files:read, files:write",
"4. Subscribe to Events: Features → Event Subscriptions → Enable",
" Required events: message.im, message.channels, app_mention",
" Optional: message.groups (for private channels)",
@@ -1913,6 +1979,29 @@ _PLATFORMS = [
"help": "Phone number or Apple ID to deliver cron results and notifications to."},
],
},
{
"key": "qqbot",
"label": "QQ Bot",
"emoji": "🐧",
"token_var": "QQ_APP_ID",
"setup_instructions": [
"1. Register a QQ Bot application at q.qq.com",
"2. Note your App ID and App Secret from the application page",
"3. Enable the required intents (C2C, Group, Guild messages)",
"4. Configure sandbox or publish the bot",
],
"vars": [
{"name": "QQ_APP_ID", "prompt": "QQ Bot App ID", "password": False,
"help": "Your QQ Bot App ID from q.qq.com."},
{"name": "QQ_CLIENT_SECRET", "prompt": "QQ Bot App Secret", "password": True,
"help": "Your QQ Bot App Secret from q.qq.com."},
{"name": "QQ_ALLOWED_USERS", "prompt": "Allowed user OpenIDs (comma-separated, leave empty for open access)", "password": False,
"is_allowlist": True,
"help": "Optional — restrict DM access to specific user OpenIDs."},
{"name": "QQ_HOME_CHANNEL", "prompt": "Home channel (user/group OpenID for cron delivery, or empty)", "password": False,
"help": "OpenID to deliver cron results and notifications to."},
],
},
]
@@ -2841,6 +2930,15 @@ def gateway_command(args):
elif subcmd == "start":
system = getattr(args, 'system', False)
start_all = getattr(args, 'all', False)
if start_all:
# Kill all stale gateway processes across all profiles before starting
killed = kill_gateway_processes(all_profiles=True)
if killed:
print(f"✓ Killed {killed} stale gateway process(es) across all profiles")
_wait_for_gateway_exit(timeout=10.0, force_after=5.0)
if is_termux():
print("Gateway service start is not supported on Termux because there is no system service manager.")
print("Run manually: hermes gateway")
@@ -2926,7 +3024,39 @@ def gateway_command(args):
# Try service first, fall back to killing and restarting
service_available = False
system = getattr(args, 'system', False)
restart_all = getattr(args, 'all', False)
service_configured = False
if restart_all:
# --all: stop every gateway process across all profiles, then start fresh
service_stopped = False
if supports_systemd_services() and (get_systemd_unit_path(system=False).exists() or get_systemd_unit_path(system=True).exists()):
try:
systemd_stop(system=system)
service_stopped = True
except subprocess.CalledProcessError:
pass
elif is_macos() and get_launchd_plist_path().exists():
try:
launchd_stop()
service_stopped = True
except subprocess.CalledProcessError:
pass
killed = kill_gateway_processes(all_profiles=True)
total = killed + (1 if service_stopped else 0)
if total:
print(f"✓ Stopped {total} gateway process(es) across all profiles")
_wait_for_gateway_exit(timeout=10.0, force_after=5.0)
# Start the current profile's service fresh
print("Starting gateway...")
if supports_systemd_services() and (get_systemd_unit_path(system=False).exists() or get_systemd_unit_path(system=True).exists()):
systemd_start(system=system)
elif is_macos() and get_launchd_plist_path().exists():
launchd_start()
else:
run_gateway(verbose=0)
return
if supports_systemd_services() and (get_systemd_unit_path(system=False).exists() or get_systemd_unit_path(system=True).exists()):
service_configured = True
+131 -111
View File
@@ -1034,29 +1034,9 @@ def select_provider_and_model(args=None):
if active == "openrouter" and get_env_value("OPENAI_BASE_URL"):
active = "custom"
provider_labels = {
"openrouter": "OpenRouter",
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"qwen-oauth": "Qwen OAuth",
"copilot-acp": "GitHub Copilot ACP",
"copilot": "GitHub Copilot",
"anthropic": "Anthropic",
"gemini": "Google AI Studio",
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"kimi-coding-cn": "Kimi / Moonshot (China)",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"opencode-zen": "OpenCode Zen",
"opencode-go": "OpenCode Go",
"ai-gateway": "AI Gateway",
"kilocode": "Kilo Code",
"alibaba": "Alibaba Cloud (DashScope)",
"huggingface": "Hugging Face",
"xiaomi": "Xiaomi MiMo",
"custom": "Custom endpoint",
}
from hermes_cli.models import CANONICAL_PROVIDERS, _PROVIDER_LABELS
provider_labels = dict(_PROVIDER_LABELS) # derive from canonical list
active_label = provider_labels.get(active, active) if active else "none"
print()
@@ -1064,32 +1044,8 @@ def select_provider_and_model(args=None):
print(f" Active provider: {active_label}")
print()
# Step 1: Provider selection — top providers shown first, rest behind "More..."
top_providers = [
("nous", "Nous Portal (Nous Research subscription)"),
("openrouter", "OpenRouter (100+ models, pay-per-use)"),
("anthropic", "Anthropic (Claude models — API key or Claude Code)"),
("openai-codex", "OpenAI Codex"),
("qwen-oauth", "Qwen OAuth (reuses local Qwen CLI login)"),
("copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
("huggingface", "Hugging Face Inference Providers (20+ open models)"),
]
extended_providers = [
("copilot-acp", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
("gemini", "Google AI Studio (Gemini models — OpenAI-compatible endpoint)"),
("zai", "Z.AI / GLM (Zhipu AI direct API)"),
("kimi-coding", "Kimi / Moonshot (Moonshot AI direct API)"),
("kimi-coding-cn", "Kimi / Moonshot China (Moonshot CN direct API)"),
("minimax", "MiniMax (global direct API)"),
("minimax-cn", "MiniMax China (domestic direct API)"),
("kilocode", "Kilo Code (Kilo Gateway API)"),
("opencode-zen", "OpenCode Zen (35+ curated models, pay-as-you-go)"),
("opencode-go", "OpenCode Go (open models, $10/month subscription)"),
("ai-gateway", "AI Gateway (Vercel — 200+ models, pay-per-use)"),
("alibaba", "Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
("xiaomi", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
]
# Step 1: Provider selection — flat list from CANONICAL_PROVIDERS
all_providers = [(p.slug, p.tui_desc) for p in CANONICAL_PROVIDERS]
def _named_custom_provider_map(cfg) -> dict[str, dict[str, str]]:
custom_provider_map = {}
@@ -1126,29 +1082,22 @@ def select_provider_and_model(args=None):
short_url = base_url.replace("https://", "").replace("http://", "").rstrip("/")
saved_model = provider_info.get("model", "")
model_hint = f"{saved_model}" if saved_model else ""
top_providers.append((key, f"{name} ({short_url}){model_hint}"))
all_providers.append((key, f"{name} ({short_url}){model_hint}"))
top_keys = {k for k, _ in top_providers}
extended_keys = {k for k, _ in extended_providers}
# If the active provider is in the extended list, promote it into top
if active and active in extended_keys:
promoted = [(k, l) for k, l in extended_providers if k == active]
extended_providers = [(k, l) for k, l in extended_providers if k != active]
top_providers = promoted + top_providers
top_keys.add(active)
# Build the primary menu
# Build the menu
ordered = []
default_idx = 0
for key, label in top_providers:
for key, label in all_providers:
if active and key == active:
ordered.append((key, f"{label} ← currently active"))
default_idx = len(ordered) - 1
else:
ordered.append((key, label))
ordered.append(("more", "More providers..."))
ordered.append(("custom", "Custom endpoint (enter URL manually)"))
_has_saved_custom_list = isinstance(config.get("custom_providers"), list) and bool(config.get("custom_providers"))
if _has_saved_custom_list:
ordered.append(("remove-custom", "Remove a saved custom provider"))
ordered.append(("cancel", "Cancel"))
provider_idx = _prompt_provider_choice(
@@ -1160,23 +1109,6 @@ def select_provider_and_model(args=None):
selected_provider = ordered[provider_idx][0]
# "More providers..." — show the extended list
if selected_provider == "more":
ext_ordered = list(extended_providers)
ext_ordered.append(("custom", "Custom endpoint (enter URL manually)"))
_has_saved_custom_list = isinstance(config.get("custom_providers"), list) and bool(config.get("custom_providers"))
if _has_saved_custom_list:
ext_ordered.append(("remove-custom", "Remove a saved custom provider"))
ext_ordered.append(("cancel", "Cancel"))
ext_idx = _prompt_provider_choice(
[label for _, label in ext_ordered], default=0,
)
if ext_idx is None or ext_ordered[ext_idx][0] == "cancel":
print("No change.")
return
selected_provider = ext_ordered[ext_idx][0]
# Step 2: Provider-specific setup + model selection
if selected_provider == "openrouter":
_model_flow_openrouter(config, current_model)
@@ -1207,7 +1139,7 @@ def select_provider_and_model(args=None):
_model_flow_anthropic(config, current_model)
elif selected_provider == "kimi-coding":
_model_flow_kimi(config, current_model)
elif selected_provider in ("gemini", "zai", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "opencode-zen", "opencode-go", "ai-gateway", "alibaba", "huggingface", "xiaomi"):
elif selected_provider in ("gemini", "deepseek", "xai", "zai", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "opencode-zen", "opencode-go", "ai-gateway", "alibaba", "huggingface", "xiaomi", "arcee"):
_model_flow_api_key_provider(config, selected_provider, current_model)
# ── Post-switch cleanup: clear stale OPENAI_BASE_URL ──────────────
@@ -1686,6 +1618,10 @@ def _model_flow_custom(config):
model_name = input("Model name (e.g. gpt-4, llama-3-70b): ").strip()
context_length_str = input("Context length in tokens [leave blank for auto-detect]: ").strip()
# Prompt for a display name — shown in the provider menu on future runs
default_name = _auto_provider_name(effective_url)
display_name = input(f"Display name [{default_name}]: ").strip() or default_name
except (KeyboardInterrupt, EOFError):
print("\nCancelled.")
return
@@ -1741,15 +1677,37 @@ def _model_flow_custom(config):
print("Endpoint saved. Use `/model` in chat or `hermes model` to set a model.")
# Auto-save to custom_providers so it appears in the menu next time
_save_custom_provider(effective_url, effective_key, model_name or "", context_length=context_length)
_save_custom_provider(effective_url, effective_key, model_name or "",
context_length=context_length, name=display_name)
def _save_custom_provider(base_url, api_key="", model="", context_length=None):
def _auto_provider_name(base_url: str) -> str:
"""Generate a display name from a custom endpoint URL.
Returns a human-friendly label like "Local (localhost:11434)" or
"RunPod (xyz.runpod.io)". Used as the default when prompting the
user for a display name during custom endpoint setup.
"""
import re
clean = base_url.replace("https://", "").replace("http://", "").rstrip("/")
clean = re.sub(r"/v1/?$", "", clean)
name = clean.split("/")[0]
if "localhost" in name or "127.0.0.1" in name:
name = f"Local ({name})"
elif "runpod" in name.lower():
name = f"RunPod ({name})"
else:
name = name.capitalize()
return name
def _save_custom_provider(base_url, api_key="", model="", context_length=None,
name=None):
"""Save a custom endpoint to custom_providers in config.yaml.
Deduplicates by base_url if the URL already exists, updates the
model name and context_length but doesn't add a duplicate entry.
Auto-generates a display name from the URL hostname.
Uses *name* when provided, otherwise auto-generates from the URL.
"""
from hermes_cli.config import load_config, save_config
@@ -1777,20 +1735,9 @@ def _save_custom_provider(base_url, api_key="", model="", context_length=None):
save_config(cfg)
return # already saved, updated if needed
# Auto-generate a name from the URL
import re
clean = base_url.replace("https://", "").replace("http://", "").rstrip("/")
# Remove /v1 suffix for cleaner names
clean = re.sub(r"/v1/?$", "", clean)
# Use hostname:port as the name
name = clean.split("/")[0]
# Capitalize for readability
if "localhost" in name or "127.0.0.1" in name:
name = f"Local ({name})"
elif "runpod" in name.lower():
name = f"RunPod ({name})"
else:
name = name.capitalize()
# Use provided name or auto-generate from URL
if not name:
name = _auto_provider_name(base_url)
entry = {"name": name, "base_url": base_url}
if api_key:
@@ -2696,13 +2643,12 @@ def _run_anthropic_oauth_flow(save_env_value):
def _model_flow_anthropic(config, current_model=""):
"""Flow for Anthropic provider — OAuth subscription, API key, or Claude Code creds."""
import os
from hermes_cli.auth import (
PROVIDER_REGISTRY, _prompt_model_selection, _save_model_choice,
_prompt_model_selection, _save_model_choice,
deactivate_provider,
)
from hermes_cli.config import (
get_env_value, save_env_value, load_config, save_config,
save_env_value, load_config, save_config,
save_anthropic_api_key,
)
from hermes_cli.models import _PROVIDER_MODELS
@@ -4090,7 +4036,40 @@ def cmd_update(args):
capture_output=True, text=True, timeout=15,
)
if restart.returncode == 0:
restarted_services.append(svc_name)
# Verify the service actually survived the
# restart. systemctl restart returns 0 even
# if the new process crashes immediately.
import time as _time
_time.sleep(3)
verify = subprocess.run(
scope_cmd + ["is-active", svc_name],
capture_output=True, text=True, timeout=5,
)
if verify.stdout.strip() == "active":
restarted_services.append(svc_name)
else:
# Retry once — transient startup failures
# (stale module cache, import race) often
# resolve on the second attempt.
print(f"{svc_name} died after restart, retrying...")
retry = subprocess.run(
scope_cmd + ["restart", svc_name],
capture_output=True, text=True, timeout=15,
)
_time.sleep(3)
verify2 = subprocess.run(
scope_cmd + ["is-active", svc_name],
capture_output=True, text=True, timeout=5,
)
if verify2.stdout.strip() == "active":
restarted_services.append(svc_name)
print(f"{svc_name} recovered on retry")
else:
print(
f"{svc_name} failed to stay running after restart.\n"
f" Check logs: journalctl --user -u {svc_name} --since '2 min ago'\n"
f" Restart manually: systemctl {'--user ' if scope == 'user' else ''}restart {svc_name}"
)
else:
print(f" ⚠ Failed to restart {svc_name}: {restart.stderr.strip()}")
except (FileNotFoundError, subprocess.TimeoutExpired):
@@ -4178,6 +4157,8 @@ def _coalesce_session_name_args(argv: list) -> list:
"status", "cron", "doctor", "config", "pairing", "skills", "tools",
"mcp", "sessions", "insights", "version", "update", "uninstall",
"profile", "dashboard",
"honcho", "claw", "plugins", "acp",
"webhook", "memory", "dump", "debug", "backup", "import", "completion", "logs",
}
_SESSION_FLAGS = {"-c", "--continue", "-r", "--resume"}
@@ -4473,17 +4454,20 @@ def cmd_dashboard(args):
host=args.host,
port=args.port,
open_browser=not args.no_open,
allow_public=getattr(args, "insecure", False),
)
def cmd_completion(args):
def cmd_completion(args, parser=None):
"""Print shell completion script."""
from hermes_cli.profiles import generate_bash_completion, generate_zsh_completion
from hermes_cli.completion import generate_bash, generate_zsh, generate_fish
shell = getattr(args, "shell", "bash")
if shell == "zsh":
print(generate_zsh_completion())
print(generate_zsh(parser))
elif shell == "fish":
print(generate_fish(parser))
else:
print(generate_bash_completion())
print(generate_bash(parser))
def cmd_logs(args):
@@ -4628,7 +4612,7 @@ For more help on a command:
)
chat_parser.add_argument(
"--provider",
choices=["auto", "openrouter", "nous", "openai-codex", "copilot-acp", "copilot", "anthropic", "gemini", "huggingface", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "xiaomi"],
choices=["auto", "openrouter", "nous", "openai-codex", "copilot-acp", "copilot", "anthropic", "gemini", "huggingface", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "xiaomi", "arcee"],
default=None,
help="Inference provider (default: auto)"
)
@@ -4765,6 +4749,7 @@ For more help on a command:
# gateway start
gateway_start = gateway_subparsers.add_parser("start", help="Start the installed systemd/launchd background service")
gateway_start.add_argument("--system", action="store_true", help="Target the Linux system-level gateway service")
gateway_start.add_argument("--all", action="store_true", help="Kill ALL stale gateway processes across all profiles before starting")
# gateway stop
gateway_stop = gateway_subparsers.add_parser("stop", help="Stop gateway service")
@@ -4774,6 +4759,7 @@ For more help on a command:
# gateway restart
gateway_restart = gateway_subparsers.add_parser("restart", help="Restart gateway service")
gateway_restart.add_argument("--system", action="store_true", help="Target the Linux system-level gateway service")
gateway_restart.add_argument("--all", action="store_true", help="Kill ALL gateway processes across all profiles before restarting")
# gateway status
gateway_status = gateway_subparsers.add_parser("status", help="Show gateway status")
@@ -5963,13 +5949,13 @@ Examples:
# =========================================================================
completion_parser = subparsers.add_parser(
"completion",
help="Print shell completion script (bash or zsh)",
help="Print shell completion script (bash, zsh, or fish)",
)
completion_parser.add_argument(
"shell", nargs="?", default="bash", choices=["bash", "zsh"],
"shell", nargs="?", default="bash", choices=["bash", "zsh", "fish"],
help="Shell type (default: bash)",
)
completion_parser.set_defaults(func=cmd_completion)
completion_parser.set_defaults(func=lambda args: cmd_completion(args, parser))
# =========================================================================
# dashboard command
@@ -5982,6 +5968,10 @@ Examples:
dashboard_parser.add_argument("--port", type=int, default=9119, help="Port (default 9119)")
dashboard_parser.add_argument("--host", default="127.0.0.1", help="Host (default 127.0.0.1)")
dashboard_parser.add_argument("--no-open", action="store_true", help="Don't open browser automatically")
dashboard_parser.add_argument(
"--insecure", action="store_true",
help="Allow binding to non-localhost (DANGEROUS: exposes API keys on the network)",
)
dashboard_parser.set_defaults(func=cmd_dashboard)
# =========================================================================
@@ -6056,7 +6046,37 @@ Examples:
sys.exit(1)
_processed_argv = _coalesce_session_name_args(sys.argv[1:])
args = parser.parse_args(_processed_argv)
# ── Defensive subparser routing (bpo-9338 workaround) ───────────
# On some Python versions (notably <3.11), argparse fails to route
# subcommand tokens when the parent parser has nargs='?' optional
# arguments (--continue). The symptom: "unrecognized arguments: model"
# even though 'model' is a registered subcommand.
#
# Fix: when argv contains a token matching a known subcommand, set
# subparsers.required=True to force deterministic routing. If that
# fails (e.g. 'hermes -c model' where 'model' is consumed as the
# session name for --continue), fall back to the default behaviour.
import io as _io
_known_cmds = set(subparsers.choices.keys()) if hasattr(subparsers, "choices") else set()
_has_cmd_token = any(t in _known_cmds for t in _processed_argv if not t.startswith("-"))
if _has_cmd_token:
subparsers.required = True
_saved_stderr = sys.stderr
try:
sys.stderr = _io.StringIO()
args = parser.parse_args(_processed_argv)
sys.stderr = _saved_stderr
except SystemExit:
sys.stderr = _saved_stderr
# Subcommand name was consumed as a flag value (e.g. -c model).
# Fall back to optional subparsers so argparse handles it normally.
subparsers.required = False
args = parser.parse_args(_processed_argv)
else:
subparsers.required = False
args = parser.parse_args(_processed_argv)
# Handle --version flag
if args.version:
+9 -5
View File
@@ -324,6 +324,9 @@ def cmd_setup(args) -> None:
val = _prompt(desc, default=str(effective_default) if effective_default else None)
if val:
provider_config[key] = val
# Also write to .env if this field has an env_var
if env_var and env_var not in env_writes:
env_writes[env_var] = val
# Write activation key to config.yaml
config["memory"]["provider"] = name
@@ -409,12 +412,13 @@ def cmd_status(args) -> None:
else:
print(f" Status: not available ✗")
schema = p.get_config_schema() if hasattr(p, "get_config_schema") else []
secrets = [f for f in schema if f.get("secret")]
if secrets:
# Check all fields that have env_var (both secret and non-secret)
required_fields = [f for f in schema if f.get("env_var")]
if required_fields:
print(f" Missing:")
for s in secrets:
env_var = s.get("env_var", "")
url = s.get("url", "")
for f in required_fields:
env_var = f.get("env_var", "")
url = f.get("url", "")
is_set = bool(os.environ.get(env_var))
mark = "" if is_set else ""
line = f" {mark} {env_var}"
+2
View File
@@ -51,6 +51,7 @@ _VENDOR_PREFIXES: dict[str, str] = {
"grok": "x-ai",
"qwen": "qwen",
"mimo": "xiaomi",
"trinity": "arcee-ai",
"nemotron": "nvidia",
"llama": "meta-llama",
"step": "stepfun",
@@ -94,6 +95,7 @@ _MATCHING_PREFIX_STRIP_PROVIDERS: frozenset[str] = frozenset({
"alibaba",
"qwen-oauth",
"xiaomi",
"arcee",
"custom",
})
+88 -11
View File
@@ -41,7 +41,6 @@ from agent.models_dev import (
get_model_capabilities,
get_model_info,
list_provider_models,
search_models_dev,
)
logger = logging.getLogger(__name__)
@@ -706,6 +705,10 @@ def switch_model(
error_message=msg,
)
# Apply auto-correction if validation found a closer match
if validation.get("corrected_model"):
new_model = validation["corrected_model"]
# --- OpenCode api_mode override ---
if target_provider in {"opencode-zen", "opencode-go", "opencode", "opencode-go"}:
api_mode = opencode_model_api_mode(target_provider, new_model)
@@ -935,6 +938,65 @@ def list_authenticated_providers(
seen_slugs.add(pid)
seen_slugs.add(hermes_slug)
# --- 2b. Cross-check canonical provider list ---
# Catches providers that are in CANONICAL_PROVIDERS but weren't found
# in PROVIDER_TO_MODELS_DEV or HERMES_OVERLAYS (keeps /model in sync
# with `hermes model`).
try:
from hermes_cli.models import CANONICAL_PROVIDERS as _canon_provs
except ImportError:
_canon_provs = []
for _cp in _canon_provs:
if _cp.slug in seen_slugs:
continue
# Check credentials via PROVIDER_REGISTRY (auth.py)
_cp_config = _auth_registry.get(_cp.slug)
_cp_has_creds = False
if _cp_config and _cp_config.api_key_env_vars:
_cp_has_creds = any(os.environ.get(ev) for ev in _cp_config.api_key_env_vars)
# Also check auth store and credential pool
if not _cp_has_creds:
try:
from hermes_cli.auth import _load_auth_store
_cp_store = _load_auth_store()
_cp_providers_store = _cp_store.get("providers", {})
_cp_pool_store = _cp_store.get("credential_pool", {})
if _cp_store and (
_cp.slug in _cp_providers_store
or _cp.slug in _cp_pool_store
):
_cp_has_creds = True
except Exception:
pass
if not _cp_has_creds:
try:
from agent.credential_pool import load_pool
_cp_pool = load_pool(_cp.slug)
if _cp_pool.has_credentials():
_cp_has_creds = True
except Exception:
pass
if not _cp_has_creds:
continue
_cp_model_ids = curated.get(_cp.slug, [])
_cp_total = len(_cp_model_ids)
_cp_top = _cp_model_ids[:max_models]
results.append({
"slug": _cp.slug,
"name": _cp.label,
"is_current": _cp.slug == current_provider,
"is_user_defined": False,
"models": _cp_top,
"total_models": _cp_total,
"source": "canonical",
})
seen_slugs.add(_cp.slug)
# --- 3. User-defined endpoints from config ---
if user_providers and isinstance(user_providers, dict):
for ep_name, ep_cfg in user_providers.items():
@@ -969,7 +1031,17 @@ def list_authenticated_providers(
})
# --- 4. Saved custom providers from config ---
# Each ``custom_providers`` entry represents one model under a named
# provider. Entries sharing the same provider name are grouped into a
# single picker row so that e.g. four Ollama Cloud entries
# (qwen3-coder, glm-5.1, kimi-k2, minimax-m2.7) appear as one
# "Ollama Cloud" row with four models inside instead of four
# duplicate "Ollama Cloud" rows. Entries with distinct provider names
# still produce separate rows (e.g. Ollama Cloud vs Moonshot).
if custom_providers and isinstance(custom_providers, list):
from collections import OrderedDict
groups: "OrderedDict[str, dict]" = OrderedDict()
for entry in custom_providers:
if not isinstance(entry, dict):
continue
@@ -985,23 +1057,28 @@ def list_authenticated_providers(
continue
slug = custom_provider_slug(display_name)
if slug not in groups:
groups[slug] = {
"name": display_name,
"api_url": api_url,
"models": [],
}
default_model = (entry.get("model") or "").strip()
if default_model and default_model not in groups[slug]["models"]:
groups[slug]["models"].append(default_model)
for slug, grp in groups.items():
if slug in seen_slugs:
continue
models_list = []
default_model = (entry.get("model") or "").strip()
if default_model:
models_list.append(default_model)
results.append({
"slug": slug,
"name": display_name,
"name": grp["name"],
"is_current": slug == current_provider,
"is_user_defined": True,
"models": models_list,
"total_models": len(models_list),
"models": grp["models"],
"total_models": len(grp["models"]),
"source": "user-config",
"api_url": api_url,
"api_url": grp["api_url"],
})
seen_slugs.add(slug)
+102 -42
View File
@@ -12,7 +12,7 @@ import os
import urllib.request
import urllib.error
from difflib import get_close_matches
from typing import Any, Optional
from typing import Any, NamedTuple, Optional
COPILOT_BASE_URL = "https://api.githubcopilot.com"
COPILOT_MODELS_URL = f"{COPILOT_BASE_URL}/models"
@@ -29,6 +29,7 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("qwen/qwen3.6-plus", ""),
("anthropic/claude-sonnet-4.5", ""),
("anthropic/claude-haiku-4.5", ""),
("openrouter/elephant-alpha", "free"),
("openai/gpt-5.4", ""),
("openai/gpt-5.4-mini", ""),
("xiaomi/mimo-v2-pro", ""),
@@ -43,6 +44,7 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("minimax/minimax-m2.7", ""),
("minimax/minimax-m2.5", ""),
("z-ai/glm-5.1", ""),
("z-ai/glm-5v-turbo", ""),
("z-ai/glm-5-turbo", ""),
("moonshotai/kimi-k2.5", ""),
("x-ai/grok-4.20", ""),
@@ -88,6 +90,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"minimax/minimax-m2.7",
"minimax/minimax-m2.5",
"z-ai/glm-5.1",
"z-ai/glm-5v-turbo",
"z-ai/glm-5-turbo",
"moonshotai/kimi-k2.5",
"x-ai/grok-4.20-beta",
@@ -97,6 +100,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"arcee-ai/trinity-large-thinking",
"openai/gpt-5.4-pro",
"openai/gpt-5.4-nano",
"openrouter/elephant-alpha",
],
"openai-codex": _codex_curated_models(),
"copilot-acp": [
@@ -132,6 +136,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"zai": [
"glm-5.1",
"glm-5",
"glm-5v-turbo",
"glm-5-turbo",
"glm-4.7",
"glm-4.5",
@@ -200,6 +205,11 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"mimo-v2-omni",
"mimo-v2-flash",
],
"arcee": [
"trinity-large-thinking",
"trinity-large-preview",
"trinity-mini",
],
"opencode-zen": [
"gpt-5.4-pro",
"gpt-5.4",
@@ -485,30 +495,52 @@ def check_nous_free_tier() -> bool:
return False # default to paid on error — don't block users
_PROVIDER_LABELS = {
"openrouter": "OpenRouter",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"nous": "Nous Portal",
"copilot": "GitHub Copilot",
"gemini": "Google AI Studio",
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"kimi-coding-cn": "Kimi / Moonshot (China)",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"anthropic": "Anthropic",
"deepseek": "DeepSeek",
"opencode-zen": "OpenCode Zen",
"opencode-go": "OpenCode Go",
"ai-gateway": "AI Gateway",
"kilocode": "Kilo Code",
"alibaba": "Alibaba Cloud (DashScope)",
"qwen-oauth": "Qwen OAuth (Portal)",
"huggingface": "Hugging Face",
"xiaomi": "Xiaomi MiMo",
"custom": "Custom endpoint",
}
# ---------------------------------------------------------------------------
# Canonical provider list — single source of truth for provider identity.
# Every code path that lists, displays, or iterates providers derives from
# this list: hermes model, /model, /provider, list_authenticated_providers.
#
# Fields:
# slug — internal provider ID (used in config.yaml, --provider flag)
# label — short display name
# tui_desc — longer description for the `hermes model` interactive picker
# ---------------------------------------------------------------------------
class ProviderEntry(NamedTuple):
slug: str
label: str
tui_desc: str # detailed description for `hermes model` TUI
CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("nous", "Nous Portal", "Nous Portal (Nous Research subscription)"),
ProviderEntry("openrouter", "OpenRouter", "OpenRouter (100+ models, pay-per-use)"),
ProviderEntry("anthropic", "Anthropic", "Anthropic (Claude models — API key or Claude Code)"),
ProviderEntry("openai-codex", "OpenAI Codex", "OpenAI Codex"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
ProviderEntry("qwen-oauth", "Qwen OAuth (Portal)", "Qwen OAuth (reuses local Qwen CLI login)"),
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
ProviderEntry("copilot-acp", "GitHub Copilot ACP", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
ProviderEntry("huggingface", "Hugging Face", "Hugging Face Inference Providers (20+ open models)"),
ProviderEntry("gemini", "Google AI Studio", "Google AI Studio (Gemini models — OpenAI-compatible endpoint)"),
ProviderEntry("deepseek", "DeepSeek", "DeepSeek (DeepSeek-V3, R1, coder — direct API)"),
ProviderEntry("xai", "xAI", "xAI (Grok models — direct API)"),
ProviderEntry("zai", "Z.AI / GLM", "Z.AI / GLM (Zhipu AI direct API)"),
ProviderEntry("kimi-coding", "Kimi / Moonshot", "Kimi / Moonshot (Moonshot AI direct API)"),
ProviderEntry("kimi-coding-cn", "Kimi / Moonshot (China)", "Kimi / Moonshot China (Moonshot CN direct API)"),
ProviderEntry("minimax", "MiniMax", "MiniMax (global direct API)"),
ProviderEntry("minimax-cn", "MiniMax (China)", "MiniMax China (domestic direct API)"),
ProviderEntry("alibaba", "Alibaba Cloud (DashScope)","Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
ProviderEntry("arcee", "Arcee AI", "Arcee AI (Trinity models — direct API)"),
ProviderEntry("kilocode", "Kilo Code", "Kilo Code (Kilo Gateway API)"),
ProviderEntry("opencode-zen", "OpenCode Zen", "OpenCode Zen (35+ curated models, pay-as-you-go)"),
ProviderEntry("opencode-go", "OpenCode Go", "OpenCode Go (open models, $10/month subscription)"),
ProviderEntry("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, pay-per-use)"),
]
# Derived dicts — used throughout the codebase
_PROVIDER_LABELS = {p.slug: p.label for p in CANONICAL_PROVIDERS}
_PROVIDER_LABELS["custom"] = "Custom endpoint" # special case: not a named provider
_PROVIDER_ALIASES = {
"glm": "zai",
@@ -528,6 +560,8 @@ _PROVIDER_ALIASES = {
"moonshot": "kimi-coding",
"kimi-cn": "kimi-coding-cn",
"moonshot-cn": "kimi-coding-cn",
"arcee-ai": "arcee",
"arceeai": "arcee",
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
"claude": "anthropic",
@@ -553,6 +587,9 @@ _PROVIDER_ALIASES = {
"huggingface-hub": "huggingface",
"mimo": "xiaomi",
"xiaomi-mimo": "xiaomi",
"grok": "xai",
"x-ai": "xai",
"x.ai": "xai",
}
@@ -639,13 +676,6 @@ def model_ids(*, force_refresh: bool = False) -> list[str]:
return [mid for mid, _ in fetch_openrouter_models(force_refresh=force_refresh)]
def menu_labels(*, force_refresh: bool = False) -> list[str]:
"""Return display labels like 'anthropic/claude-opus-4.6 (recommended)'."""
labels = []
for mid, desc in fetch_openrouter_models(force_refresh=force_refresh):
labels.append(f"{mid} ({desc})" if desc else mid)
return labels
# ---------------------------------------------------------------------------
@@ -845,23 +875,20 @@ def list_available_providers() -> list[dict[str, str]]:
Each dict has ``id``, ``label``, and ``aliases``.
Checks which providers have valid credentials configured.
Derives the provider list from :data:`CANONICAL_PROVIDERS` (single
source of truth shared with ``hermes model``, ``/model``, etc.).
"""
# Canonical providers in display order
_PROVIDER_ORDER = [
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "huggingface",
"zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "anthropic", "alibaba",
"qwen-oauth", "xiaomi",
"opencode-zen", "opencode-go",
"ai-gateway", "deepseek", "custom",
]
# Derive display order from canonical list + custom
provider_order = [p.slug for p in CANONICAL_PROVIDERS] + ["custom"]
# Build reverse alias map
aliases_for: dict[str, list[str]] = {}
for alias, canonical in _PROVIDER_ALIASES.items():
aliases_for.setdefault(canonical, []).append(alias)
result = []
for pid in _PROVIDER_ORDER:
for pid in provider_order:
label = _PROVIDER_LABELS.get(pid, pid)
alias_list = aliases_for.get(pid, [])
# Check if this provider has credentials available
@@ -1796,6 +1823,17 @@ def validate_requested_model(
"message": None,
}
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
@@ -1847,6 +1885,16 @@ def validate_requested_model(
"recognized": True,
"message": None,
}
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, codex_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested_for_lookup, codex_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
@@ -1879,6 +1927,18 @@ def validate_requested_model(
# the user may have access to models not shown in the public
# listing (e.g. Z.AI Pro/Max plans can use glm-5 on coding
# endpoints even though it's not in /models). Warn but allow.
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
+1
View File
@@ -35,6 +35,7 @@ PLATFORMS: OrderedDict[str, PlatformInfo] = OrderedDict([
("wecom", PlatformInfo(label="💬 WeCom", default_toolset="hermes-wecom")),
("wecom_callback", PlatformInfo(label="💬 WeCom Callback", default_toolset="hermes-wecom-callback")),
("weixin", PlatformInfo(label="💬 Weixin", default_toolset="hermes-weixin")),
("qqbot", PlatformInfo(label="💬 QQBot", default_toolset="hermes-qqbot")),
("webhook", PlatformInfo(label="🔗 Webhook", default_toolset="hermes-webhook")),
("api_server", PlatformInfo(label="🌐 API Server", default_toolset="hermes-api-server")),
])
+107 -11
View File
@@ -31,7 +31,6 @@ import importlib
import importlib.metadata
import importlib.util
import logging
import os
import sys
import types
from dataclasses import dataclass, field
@@ -263,6 +262,53 @@ class PluginContext:
self._manager._hooks.setdefault(hook_name, []).append(callback)
logger.debug("Plugin %s registered hook: %s", self.manifest.name, hook_name)
# -- skill registration -------------------------------------------------
def register_skill(
self,
name: str,
path: Path,
description: str = "",
) -> None:
"""Register a read-only skill provided by this plugin.
The skill becomes resolvable as ``'<plugin_name>:<name>'`` via
``skill_view()``. It does **not** enter the flat
``~/.hermes/skills/`` tree and is **not** listed in the system
prompt's ``<available_skills>`` index — plugin skills are
opt-in explicit loads only.
Raises:
ValueError: if *name* contains ``':'`` or invalid characters.
FileNotFoundError: if *path* does not exist.
"""
from agent.skill_utils import _NAMESPACE_RE
if ":" in name:
raise ValueError(
f"Skill name '{name}' must not contain ':' "
f"(the namespace is derived from the plugin name "
f"'{self.manifest.name}' automatically)."
)
if not name or not _NAMESPACE_RE.match(name):
raise ValueError(
f"Invalid skill name '{name}'. Must match [a-zA-Z0-9_-]+."
)
if not path.exists():
raise FileNotFoundError(f"SKILL.md not found at {path}")
qualified = f"{self.manifest.name}:{name}"
self._manager._plugin_skills[qualified] = {
"path": path,
"plugin": self.manifest.name,
"bare_name": name,
"description": description,
}
logger.debug(
"Plugin %s registered skill: %s",
self.manifest.name, qualified,
)
# ---------------------------------------------------------------------------
# PluginManager
@@ -279,6 +325,8 @@ class PluginManager:
self._context_engine = None # Set by a plugin via register_context_engine()
self._discovered: bool = False
self._cli_ref = None # Set by CLI after plugin discovery
# Plugin skill registry: qualified name → metadata dict.
self._plugin_skills: Dict[str, Dict[str, Any]] = {}
# -----------------------------------------------------------------------
# Public
@@ -555,6 +603,28 @@ class PluginManager:
)
return result
# -----------------------------------------------------------------------
# Plugin skill lookups
# -----------------------------------------------------------------------
def find_plugin_skill(self, qualified_name: str) -> Optional[Path]:
"""Return the ``Path`` to a plugin skill's SKILL.md, or ``None``."""
entry = self._plugin_skills.get(qualified_name)
return entry["path"] if entry else None
def list_plugin_skills(self, plugin_name: str) -> List[str]:
"""Return sorted bare names of all skills registered by *plugin_name*."""
prefix = f"{plugin_name}:"
return sorted(
e["bare_name"]
for qn, e in self._plugin_skills.items()
if qn.startswith(prefix)
)
def remove_plugin_skill(self, qualified_name: str) -> None:
"""Remove a stale registry entry (silently ignores missing keys)."""
self._plugin_skills.pop(qualified_name, None)
# ---------------------------------------------------------------------------
# Module-level singleton & convenience functions
@@ -584,18 +654,44 @@ def invoke_hook(hook_name: str, **kwargs: Any) -> List[Any]:
return get_plugin_manager().invoke_hook(hook_name, **kwargs)
def get_plugin_tool_names() -> Set[str]:
"""Return the set of tool names registered by plugins."""
return get_plugin_manager()._plugin_tool_names
def get_pre_tool_call_block_message(
tool_name: str,
args: Optional[Dict[str, Any]],
task_id: str = "",
session_id: str = "",
tool_call_id: str = "",
) -> Optional[str]:
"""Check ``pre_tool_call`` hooks for a blocking directive.
def get_plugin_cli_commands() -> Dict[str, dict]:
"""Return CLI commands registered by general plugins.
Plugins that need to enforce policy (rate limiting, security
restrictions, approval workflows) can return::
Returns a dict of ``{name: {help, setup_fn, handler_fn, ...}}``
suitable for wiring into argparse subparsers.
{"action": "block", "message": "Reason the tool was blocked"}
from their ``pre_tool_call`` callback. The first valid block
directive wins. Invalid or irrelevant hook return values are
silently ignored so existing observer-only hooks are unaffected.
"""
return dict(get_plugin_manager()._cli_commands)
hook_results = invoke_hook(
"pre_tool_call",
tool_name=tool_name,
args=args if isinstance(args, dict) else {},
task_id=task_id,
session_id=session_id,
tool_call_id=tool_call_id,
)
for result in hook_results:
if not isinstance(result, dict):
continue
if result.get("action") != "block":
continue
message = result.get("message")
if isinstance(message, str) and message:
return message
return None
def get_plugin_context_engine():
@@ -622,7 +718,7 @@ def get_plugin_toolsets() -> List[tuple]:
toolset_tools: Dict[str, List[str]] = {}
toolset_plugin: Dict[str, LoadedPlugin] = {}
for tool_name in manager._plugin_tool_names:
entry = registry._tools.get(tool_name)
entry = registry.get_entry(tool_name)
if not entry:
continue
ts = entry.toolset
@@ -631,7 +727,7 @@ def get_plugin_toolsets() -> List[tuple]:
# Map toolsets back to the plugin that registered them
for _name, loaded in manager._plugins.items():
for tool_name in loaded.tools_registered:
entry = registry._tools.get(tool_name)
entry = registry.get_entry(tool_name)
if entry and entry.toolset in toolset_tools:
toolset_plugin.setdefault(entry.toolset, loaded)
+9
View File
@@ -136,6 +136,11 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
transport="openai_chat",
base_url_env_var="XIAOMI_BASE_URL",
),
"arcee": HermesOverlay(
transport="openai_chat",
base_url_override="https://api.arcee.ai/api/v1",
base_url_env_var="ARCEE_BASE_URL",
),
}
@@ -231,6 +236,10 @@ ALIASES: Dict[str, str] = {
"mimo": "xiaomi",
"xiaomi-mimo": "xiaomi",
# arcee
"arcee-ai": "arcee",
"arceeai": "arcee",
# Local server aliases → virtual "local" concept (resolved via user config)
"lmstudio": "lmstudio",
"lm-studio": "lmstudio",
+4
View File
@@ -167,6 +167,7 @@ def _resolve_runtime_from_pool_entry(
api_mode = "chat_completions"
elif provider == "copilot":
api_mode = _copilot_runtime_api_mode(model_cfg, getattr(entry, "runtime_api_key", ""))
base_url = base_url or PROVIDER_REGISTRY["copilot"].inference_base_url
else:
configured_provider = str(model_cfg.get("provider") or "").strip().lower()
# Honour model.base_url from config.yaml when the configured provider
@@ -287,6 +288,9 @@ def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, An
# Resolve the API key from the env var name stored in key_env
key_env = str(entry.get("key_env", "") or "").strip()
resolved_api_key = os.getenv(key_env, "").strip() if key_env else ""
# Fall back to inline api_key when key_env is absent or unresolvable
if not resolved_api_key:
resolved_api_key = str(entry.get("api_key", "") or "").strip()
if requested_norm in {ep_name, name_norm, f"custom:{name_norm}"}:
# Found match by provider key
+64 -47
View File
@@ -43,14 +43,6 @@ def _model_config_dict(config: Dict[str, Any]) -> Dict[str, Any]:
return {}
def _set_default_model(config: Dict[str, Any], model_name: str) -> None:
if not model_name:
return
model_cfg = _model_config_dict(config)
model_cfg["default"] = model_name
config["model"] = model_cfg
def _get_credential_pool_strategies(config: Dict[str, Any]) -> Dict[str, str]:
strategies = config.get("credential_pool_strategies")
return dict(strategies) if isinstance(strategies, dict) else {}
@@ -107,6 +99,7 @@ _DEFAULT_PROVIDER_MODELS = {
"zai": ["glm-5.1", "glm-5", "glm-4.7", "glm-4.5", "glm-4.5-flash"],
"kimi-coding": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"kimi-coding-cn": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"arcee": ["trinity-large-thinking", "trinity-large-preview", "trinity-mini"],
"minimax": ["MiniMax-M2.7", "MiniMax-M2.5", "MiniMax-M2.1", "MiniMax-M2"],
"minimax-cn": ["MiniMax-M2.7", "MiniMax-M2.5", "MiniMax-M2.1", "MiniMax-M2"],
"ai-gateway": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5", "google/gemini-3-flash"],
@@ -136,43 +129,6 @@ def _set_reasoning_effort(config: Dict[str, Any], effort: str) -> None:
agent_cfg["reasoning_effort"] = effort
def _setup_copilot_reasoning_selection(
config: Dict[str, Any],
model_id: str,
prompt_choice,
*,
catalog: Optional[list[dict[str, Any]]] = None,
api_key: str = "",
) -> None:
from hermes_cli.models import github_model_reasoning_efforts, normalize_copilot_model_id
normalized_model = normalize_copilot_model_id(
model_id,
catalog=catalog,
api_key=api_key,
) or model_id
efforts = github_model_reasoning_efforts(normalized_model, catalog=catalog, api_key=api_key)
if not efforts:
return
current_effort = _current_reasoning_effort(config)
choices = list(efforts) + ["Disable reasoning", f"Keep current ({current_effort or 'default'})"]
if current_effort == "none":
default_idx = len(efforts)
elif current_effort in efforts:
default_idx = efforts.index(current_effort)
elif "medium" in efforts:
default_idx = efforts.index("medium")
else:
default_idx = len(choices) - 1
effort_idx = prompt_choice("Select reasoning effort:", choices, default_idx)
if effort_idx < len(efforts):
_set_reasoning_effort(config, efforts[effort_idx])
elif effort_idx == len(efforts):
_set_reasoning_effort(config, "none")
# Import config helpers
@@ -820,7 +776,7 @@ def setup_model_provider(config: dict, *, quick: bool = False):
"minimax": "MiniMax",
"minimax-cn": "MiniMax CN",
"anthropic": "Anthropic",
"ai-gateway": "AI Gateway",
"ai-gateway": "Vercel AI Gateway",
"custom": "your custom endpoint",
}
_prov_display = _prov_names.get(selected_provider, selected_provider or "your provider")
@@ -1781,7 +1737,7 @@ def _setup_slack():
print_info(" 3. Add Bot Token Scopes: Features → OAuth & Permissions")
print_info(" Required scopes: chat:write, app_mentions:read,")
print_info(" channels:history, channels:read, im:history,")
print_info(" im:read, im:write, users:read, files:write")
print_info(" im:read, im:write, users:read, files:read, files:write")
print_info(" Optional for private channels: groups:history")
print_info(" 4. Subscribe to Events: Features → Event Subscriptions → Enable")
print_info(" Required events: message.im, message.channels, app_mention")
@@ -2013,6 +1969,54 @@ def _setup_wecom_callback():
_gw_setup()
def _setup_qqbot():
"""Configure QQ Bot gateway."""
print_header("QQ Bot")
existing = get_env_value("QQ_APP_ID")
if existing:
print_info("QQ Bot: already configured")
if not prompt_yes_no("Reconfigure QQ Bot?", False):
return
print_info("Connects Hermes to QQ via the Official QQ Bot API (v2).")
print_info(" Requires a QQ Bot application at q.qq.com")
print_info(" Reference: https://bot.q.qq.com/wiki/develop/api-v2/")
print()
app_id = prompt("QQ Bot App ID")
if not app_id:
print_warning("App ID is required — skipping QQ Bot setup")
return
save_env_value("QQ_APP_ID", app_id.strip())
client_secret = prompt("QQ Bot App Secret", password=True)
if not client_secret:
print_warning("App Secret is required — skipping QQ Bot setup")
return
save_env_value("QQ_CLIENT_SECRET", client_secret)
print_success("QQ Bot credentials saved")
print()
print_info("🔒 Security: Restrict who can DM your bot")
print_info(" Use QQ user OpenIDs (found in event payloads)")
print()
allowed_users = prompt("Allowed user OpenIDs (comma-separated, leave empty for open access)")
if allowed_users:
save_env_value("QQ_ALLOWED_USERS", allowed_users.replace(" ", ""))
print_success("QQ Bot allowlist configured")
else:
print_info("⚠️ No allowlist set — anyone can DM the bot!")
print()
print_info("📬 Home Channel: OpenID for cron job delivery and notifications.")
home_channel = prompt("Home channel OpenID (leave empty to set later)")
if home_channel:
save_env_value("QQ_HOME_CHANNEL", home_channel)
print()
print_success("QQ Bot configured!")
def _setup_bluebubbles():
"""Configure BlueBubbles iMessage gateway."""
print_header("BlueBubbles (iMessage)")
@@ -2078,6 +2082,15 @@ def _setup_bluebubbles():
print_info(" Install: https://docs.bluebubbles.app/helper-bundle/installation")
def _setup_qqbot():
"""Configure QQ Bot (Official API v2) via standard platform setup."""
from hermes_cli.gateway import _PLATFORMS
qq_platform = next((p for p in _PLATFORMS if p["key"] == "qqbot"), None)
if qq_platform:
from hermes_cli.gateway import _setup_standard_platform
_setup_standard_platform(qq_platform)
def _setup_webhooks():
"""Configure webhook integration."""
print_header("Webhooks")
@@ -2141,6 +2154,7 @@ _GATEWAY_PLATFORMS = [
("WeCom Callback (Self-Built App)", "WECOM_CALLBACK_CORP_ID", _setup_wecom_callback),
("Weixin (WeChat)", "WEIXIN_ACCOUNT_ID", _setup_weixin),
("BlueBubbles (iMessage)", "BLUEBUBBLES_SERVER_URL", _setup_bluebubbles),
("QQ Bot", "QQ_APP_ID", _setup_qqbot),
("Webhooks (GitHub, GitLab, etc.)", "WEBHOOK_ENABLED", _setup_webhooks),
]
@@ -2192,6 +2206,7 @@ def setup_gateway(config: dict):
or get_env_value("WECOM_BOT_ID")
or get_env_value("WEIXIN_ACCOUNT_ID")
or get_env_value("BLUEBUBBLES_SERVER_URL")
or get_env_value("QQ_APP_ID")
or get_env_value("WEBHOOK_ENABLED")
)
if any_messaging:
@@ -2213,6 +2228,8 @@ def setup_gateway(config: dict):
missing_home.append("Slack")
if get_env_value("BLUEBUBBLES_SERVER_URL") and not get_env_value("BLUEBUBBLES_HOME_CHANNEL"):
missing_home.append("BlueBubbles")
if get_env_value("QQ_APP_ID") and not get_env_value("QQ_HOME_CHANNEL"):
missing_home.append("QQBot")
if missing_home:
print()
+1 -1
View File
@@ -15,7 +15,7 @@ from typing import List, Optional, Set
from hermes_cli.config import load_config, save_config
from hermes_cli.colors import Colors, color
from hermes_cli.platforms import PLATFORMS as _PLATFORMS, platform_label
from hermes_cli.platforms import PLATFORMS as _PLATFORMS
# Backward-compatible view: {key: label_string} so existing code that
# iterates ``PLATFORMS.items()`` or calls ``PLATFORMS.get(key)`` keeps
+102 -9
View File
@@ -32,6 +32,12 @@ All fields are optional. Missing values inherit from the ``default`` skin.
response_border: "#FFD700" # Response box border (ANSI)
session_label: "#DAA520" # Session label color
session_border: "#8B8682" # Session ID dim color
status_bar_bg: "#1a1a2e" # TUI status/usage bar background
voice_status_bg: "#1a1a2e" # TUI voice status background
completion_menu_bg: "#1a1a2e" # Completion menu background
completion_menu_current_bg: "#333355" # Active completion row background
completion_menu_meta_bg: "#1a1a2e" # Completion meta column background
completion_menu_meta_current_bg: "#333355" # Active completion meta background
# Spinner: customize the animated spinner during API calls
spinner:
@@ -87,6 +93,8 @@ BUILT-IN SKINS
- ``ares`` Crimson/bronze war-god theme with custom spinner wings
- ``mono`` Clean grayscale monochrome
- ``slate`` Cool blue developer-focused theme
- ``daylight`` Light background theme with dark text and blue accents
- ``warm-lightmode`` Warm brown/gold text for light terminal backgrounds
USER SKINS
==========
@@ -126,10 +134,6 @@ class SkinConfig:
"""Get a color value with fallback."""
return self.colors.get(key, fallback)
def get_spinner_list(self, key: str) -> List[str]:
"""Get a spinner list (faces, verbs, etc.)."""
return self.spinner.get(key, [])
def get_spinner_wings(self) -> List[Tuple[str, str]]:
"""Get spinner wing pairs, or empty list if none."""
raw = self.spinner.get("wings", [])
@@ -308,6 +312,80 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
},
"tool_prefix": "",
},
"daylight": {
"name": "daylight",
"description": "Light theme for bright terminals with dark text and cool blue accents",
"colors": {
"banner_border": "#2563EB",
"banner_title": "#0F172A",
"banner_accent": "#1D4ED8",
"banner_dim": "#475569",
"banner_text": "#111827",
"ui_accent": "#2563EB",
"ui_label": "#0F766E",
"ui_ok": "#15803D",
"ui_error": "#B91C1C",
"ui_warn": "#B45309",
"prompt": "#111827",
"input_rule": "#93C5FD",
"response_border": "#2563EB",
"session_label": "#1D4ED8",
"session_border": "#64748B",
"status_bar_bg": "#E5EDF8",
"voice_status_bg": "#E5EDF8",
"completion_menu_bg": "#F8FAFC",
"completion_menu_current_bg": "#DBEAFE",
"completion_menu_meta_bg": "#EEF2FF",
"completion_menu_meta_current_bg": "#BFDBFE",
},
"spinner": {},
"branding": {
"agent_name": "Hermes Agent",
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! ⚕",
"response_label": " ⚕ Hermes ",
"prompt_symbol": " ",
"help_header": "[?] Available Commands",
},
"tool_prefix": "",
},
"warm-lightmode": {
"name": "warm-lightmode",
"description": "Warm light mode — dark brown/gold text for light terminal backgrounds",
"colors": {
"banner_border": "#8B6914",
"banner_title": "#5C3D11",
"banner_accent": "#8B4513",
"banner_dim": "#8B7355",
"banner_text": "#2C1810",
"ui_accent": "#8B4513",
"ui_label": "#5C3D11",
"ui_ok": "#2E7D32",
"ui_error": "#C62828",
"ui_warn": "#E65100",
"prompt": "#2C1810",
"input_rule": "#8B6914",
"response_border": "#8B6914",
"session_label": "#5C3D11",
"session_border": "#A0845C",
"status_bar_bg": "#F5F0E8",
"voice_status_bg": "#F5F0E8",
"completion_menu_bg": "#F5EFE0",
"completion_menu_current_bg": "#E8DCC8",
"completion_menu_meta_bg": "#F0E8D8",
"completion_menu_meta_current_bg": "#DFCFB0",
},
"spinner": {},
"branding": {
"agent_name": "Hermes Agent",
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! \u2695",
"response_label": " \u2695 Hermes ",
"prompt_symbol": "\u276f ",
"help_header": "(^_^)? Available Commands",
},
"tool_prefix": "\u250a",
},
"poseidon": {
"name": "poseidon",
"description": "Ocean-god theme — deep blue and seafoam",
@@ -689,6 +767,12 @@ def get_prompt_toolkit_style_overrides() -> Dict[str, str]:
label = skin.get_color("ui_label", title)
warn = skin.get_color("ui_warn", "#FF8C00")
error = skin.get_color("ui_error", "#FF6B6B")
status_bg = skin.get_color("status_bar_bg", "#1a1a2e")
voice_bg = skin.get_color("voice_status_bg", status_bg)
menu_bg = skin.get_color("completion_menu_bg", "#1a1a2e")
menu_current_bg = skin.get_color("completion_menu_current_bg", "#333355")
menu_meta_bg = skin.get_color("completion_menu_meta_bg", menu_bg)
menu_meta_current_bg = skin.get_color("completion_menu_meta_current_bg", menu_current_bg)
return {
"input-area": prompt,
@@ -696,13 +780,20 @@ def get_prompt_toolkit_style_overrides() -> Dict[str, str]:
"prompt": prompt,
"prompt-working": f"{dim} italic",
"hint": f"{dim} italic",
"status-bar": f"bg:{status_bg} {text}",
"status-bar-strong": f"bg:{status_bg} {title} bold",
"status-bar-dim": f"bg:{status_bg} {dim}",
"status-bar-good": f"bg:{status_bg} {skin.get_color('ui_ok', '#8FBC8F')} bold",
"status-bar-warn": f"bg:{status_bg} {warn} bold",
"status-bar-bad": f"bg:{status_bg} {skin.get_color('banner_accent', warn)} bold",
"status-bar-critical": f"bg:{status_bg} {error} bold",
"input-rule": input_rule,
"image-badge": f"{label} bold",
"completion-menu": f"bg:#1a1a2e {text}",
"completion-menu.completion": f"bg:#1a1a2e {text}",
"completion-menu.completion.current": f"bg:#333355 {title}",
"completion-menu.meta.completion": f"bg:#1a1a2e {dim}",
"completion-menu.meta.completion.current": f"bg:#333355 {label}",
"completion-menu": f"bg:{menu_bg} {text}",
"completion-menu.completion": f"bg:{menu_bg} {text}",
"completion-menu.completion.current": f"bg:{menu_current_bg} {title}",
"completion-menu.meta.completion": f"bg:{menu_meta_bg} {dim}",
"completion-menu.meta.completion.current": f"bg:{menu_meta_current_bg} {label}",
"clarify-border": input_rule,
"clarify-title": f"{title} bold",
"clarify-question": f"{text} bold",
@@ -720,4 +811,6 @@ def get_prompt_toolkit_style_overrides() -> Dict[str, str]:
"approval-cmd": f"{dim} italic",
"approval-choice": dim,
"approval-selected": f"{title} bold",
"voice-status": f"bg:{voice_bg} {label}",
"voice-status-recording": f"bg:{voice_bg} {error} bold",
}
+1
View File
@@ -305,6 +305,7 @@ def show_status(args):
"WeCom Callback": ("WECOM_CALLBACK_CORP_ID", None),
"Weixin": ("WEIXIN_ACCOUNT_ID", "WEIXIN_HOME_CHANNEL"),
"BlueBubbles": ("BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_HOME_CHANNEL"),
"QQBot": ("QQ_APP_ID", "QQ_HOME_CHANNEL"),
}
for name, (token_var, home_var) in platforms.items():
+2 -4
View File
@@ -1,7 +1,7 @@
"""Random tips shown at CLI session start to help users discover features."""
import random
from typing import Optional
# ---------------------------------------------------------------------------
# Tip corpus — one-liners covering slash commands, CLI flags, config,
@@ -346,6 +346,4 @@ def get_random_tip(exclude_recent: int = 0) -> str:
return random.choice(TIPS)
def get_tip_count() -> int:
"""Return the total number of tips available."""
return len(TIPS)
+42 -18
View File
@@ -63,6 +63,7 @@ CONFIGURABLE_TOOLSETS = [
("clarify", "❓ Clarifying Questions", "clarify"),
("delegation", "👥 Task Delegation", "delegate_task"),
("cronjob", "⏰ Cron Jobs", "create/list/update/pause/resume/run, with optional attached skills"),
("messaging", "📨 Cross-Platform Messaging", "send_message"),
("rl", "🧪 RL Training", "Tinker-Atropos training tools"),
("homeassistant", "🏠 Home Assistant", "smart home device control"),
]
@@ -121,6 +122,7 @@ TOOL_CATEGORIES = {
"providers": [
{
"name": "Nous Subscription",
"badge": "subscription",
"tag": "Managed OpenAI TTS billed to your subscription",
"env_vars": [],
"tts_provider": "openai",
@@ -130,13 +132,15 @@ TOOL_CATEGORIES = {
},
{
"name": "Microsoft Edge TTS",
"tag": "Free - no API key needed",
"badge": "★ recommended · free",
"tag": "Good quality, no API key needed",
"env_vars": [],
"tts_provider": "edge",
},
{
"name": "OpenAI TTS",
"tag": "Premium - high quality voices",
"badge": "paid",
"tag": "High quality voices",
"env_vars": [
{"key": "VOICE_TOOLS_OPENAI_KEY", "prompt": "OpenAI API key", "url": "https://platform.openai.com/api-keys"},
],
@@ -144,7 +148,8 @@ TOOL_CATEGORIES = {
},
{
"name": "ElevenLabs",
"tag": "Premium - most natural voices",
"badge": "paid",
"tag": "Most natural voices",
"env_vars": [
{"key": "ELEVENLABS_API_KEY", "prompt": "ElevenLabs API key", "url": "https://elevenlabs.io/app/settings/api-keys"},
],
@@ -152,7 +157,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Mistral (Voxtral TTS)",
"tag": "Multilingual, native Opus, needs MISTRAL_API_KEY",
"badge": "paid",
"tag": "Multilingual, native Opus",
"env_vars": [
{"key": "MISTRAL_API_KEY", "prompt": "Mistral API key", "url": "https://console.mistral.ai/"},
],
@@ -168,6 +174,7 @@ TOOL_CATEGORIES = {
"providers": [
{
"name": "Nous Subscription",
"badge": "subscription",
"tag": "Managed Firecrawl billed to your subscription",
"web_backend": "firecrawl",
"env_vars": [],
@@ -177,7 +184,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Firecrawl Cloud",
"tag": "Hosted service - search, extract, and crawl",
"badge": "★ recommended",
"tag": "Full-featured search, extract, and crawl",
"web_backend": "firecrawl",
"env_vars": [
{"key": "FIRECRAWL_API_KEY", "prompt": "Firecrawl API key", "url": "https://firecrawl.dev"},
@@ -185,7 +193,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Exa",
"tag": "AI-native search and contents",
"badge": "paid",
"tag": "Neural search with semantic understanding",
"web_backend": "exa",
"env_vars": [
{"key": "EXA_API_KEY", "prompt": "Exa API key", "url": "https://exa.ai"},
@@ -193,7 +202,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Parallel",
"tag": "AI-native search and extract",
"badge": "paid",
"tag": "AI-powered search and extract",
"web_backend": "parallel",
"env_vars": [
{"key": "PARALLEL_API_KEY", "prompt": "Parallel API key", "url": "https://parallel.ai"},
@@ -201,7 +211,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Tavily",
"tag": "AI-native search, extract, and crawl",
"badge": "free tier",
"tag": "Search, extract, and crawl — 1000 free searches/mo",
"web_backend": "tavily",
"env_vars": [
{"key": "TAVILY_API_KEY", "prompt": "Tavily API key", "url": "https://app.tavily.com/home"},
@@ -209,7 +220,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Firecrawl Self-Hosted",
"tag": "Free - run your own instance",
"badge": "free · self-hosted",
"tag": "Run your own Firecrawl instance (Docker)",
"web_backend": "firecrawl",
"env_vars": [
{"key": "FIRECRAWL_API_URL", "prompt": "Your Firecrawl instance URL (e.g., http://localhost:3002)"},
@@ -223,6 +235,7 @@ TOOL_CATEGORIES = {
"providers": [
{
"name": "Nous Subscription",
"badge": "subscription",
"tag": "Managed FAL image generation billed to your subscription",
"env_vars": [],
"requires_nous_auth": True,
@@ -231,6 +244,7 @@ TOOL_CATEGORIES = {
},
{
"name": "FAL.ai",
"badge": "paid",
"tag": "FLUX 2 Pro with auto-upscaling",
"env_vars": [
{"key": "FAL_KEY", "prompt": "FAL API key", "url": "https://fal.ai/dashboard/keys"},
@@ -244,6 +258,7 @@ TOOL_CATEGORIES = {
"providers": [
{
"name": "Nous Subscription (Browser Use cloud)",
"badge": "subscription",
"tag": "Managed Browser Use billed to your subscription",
"env_vars": [],
"browser_provider": "browser-use",
@@ -254,14 +269,16 @@ TOOL_CATEGORIES = {
},
{
"name": "Local Browser",
"tag": "Free headless Chromium (no API key needed)",
"badge": "★ recommended · free",
"tag": "Headless Chromium, no API key needed",
"env_vars": [],
"browser_provider": "local",
"post_setup": "agent_browser",
},
{
"name": "Browserbase",
"tag": "Cloud browser with stealth & proxies",
"badge": "paid",
"tag": "Cloud browser with stealth and proxies",
"env_vars": [
{"key": "BROWSERBASE_API_KEY", "prompt": "Browserbase API key", "url": "https://browserbase.com"},
{"key": "BROWSERBASE_PROJECT_ID", "prompt": "Browserbase project ID"},
@@ -271,6 +288,7 @@ TOOL_CATEGORIES = {
},
{
"name": "Browser Use",
"badge": "paid",
"tag": "Cloud browser with remote execution",
"env_vars": [
{"key": "BROWSER_USE_API_KEY", "prompt": "Browser Use API key", "url": "https://browser-use.com"},
@@ -280,6 +298,7 @@ TOOL_CATEGORIES = {
},
{
"name": "Firecrawl",
"badge": "paid",
"tag": "Cloud browser with remote execution",
"env_vars": [
{"key": "FIRECRAWL_API_KEY", "prompt": "Firecrawl API key", "url": "https://firecrawl.dev"},
@@ -289,7 +308,8 @@ TOOL_CATEGORIES = {
},
{
"name": "Camofox",
"tag": "Local anti-detection browser (Firefox/Camoufox)",
"badge": "free · local",
"tag": "Anti-detection browser (Firefox/Camoufox)",
"env_vars": [
{"key": "CAMOFOX_URL", "prompt": "Camofox server URL", "default": "http://localhost:9377",
"url": "https://github.com/jo-inc/camofox-browser"},
@@ -362,7 +382,7 @@ def _run_post_setup(post_setup_key: str):
_print_warning(" Node.js not found - browser tools require: npm install (in hermes-agent directory)")
elif post_setup_key == "camofox":
camofox_dir = PROJECT_ROOT / "node_modules" / "@askjo" / "camoufox-browser"
camofox_dir = PROJECT_ROOT / "node_modules" / "@askjo" / "camofox-browser"
if not camofox_dir.exists() and shutil.which("npm"):
_print_info(" Installing Camofox browser server...")
import subprocess
@@ -376,7 +396,7 @@ def _run_post_setup(post_setup_key: str):
_print_warning(" npm install failed - run manually: npm install")
if camofox_dir.exists():
_print_info(" Start the Camofox server:")
_print_info(" npx @askjo/camoufox-browser")
_print_info(" npx @askjo/camofox-browser")
_print_info(" First run downloads the Camoufox engine (~300MB)")
_print_info(" Or use Docker: docker run -p 9377:9377 -e CAMOFOX_PORT=9377 jo-inc/camofox-browser")
elif not shutil.which("npm"):
@@ -426,6 +446,8 @@ def _get_enabled_platforms() -> List[str]:
enabled.append("slack")
if get_env_value("WHATSAPP_ENABLED"):
enabled.append("whatsapp")
if get_env_value("QQ_APP_ID"):
enabled.append("qqbot")
return enabled
@@ -836,7 +858,8 @@ def _configure_tool_category(ts_key: str, cat: dict, config: dict):
# Plain text labels only (no ANSI codes in menu items)
provider_choices = []
for p in providers:
tag = f" ({p['tag']})" if p.get("tag") else ""
badge = f" [{p['badge']}]" if p.get("badge") else ""
tag = f"{p['tag']}" if p.get("tag") else ""
configured = ""
env_vars = p.get("env_vars", [])
if not env_vars or all(get_env_value(v["key"]) for v in env_vars):
@@ -846,7 +869,7 @@ def _configure_tool_category(ts_key: str, cat: dict, config: dict):
configured = ""
else:
configured = " [configured]"
provider_choices.append(f"{p['name']}{tag}{configured}")
provider_choices.append(f"{p['name']}{badge}{tag}{configured}")
# Add skip option
provider_choices.append("Skip — keep defaults / configure later")
@@ -1102,7 +1125,8 @@ def _configure_tool_category_for_reconfig(ts_key: str, cat: dict, config: dict):
provider_choices = []
for p in providers:
tag = f" ({p['tag']})" if p.get("tag") else ""
badge = f" [{p['badge']}]" if p.get("badge") else ""
tag = f"{p['tag']}" if p.get("tag") else ""
configured = ""
env_vars = p.get("env_vars", [])
if not env_vars or all(get_env_value(v["key"]) for v in env_vars):
@@ -1112,7 +1136,7 @@ def _configure_tool_category_for_reconfig(ts_key: str, cat: dict, config: dict):
configured = ""
else:
configured = " [configured]"
provider_choices.append(f"{p['name']}{tag}{configured}")
provider_choices.append(f"{p['name']}{badge}{tag}{configured}")
default_idx = _detect_active_provider_index(providers, config)
-1
View File
@@ -7,7 +7,6 @@ Provides options for:
"""
import os
import platform
import shutil
import subprocess
from pathlib import Path
+307 -38
View File
@@ -10,6 +10,7 @@ Usage:
"""
import asyncio
import hmac
import json
import logging
import os
@@ -48,7 +49,7 @@ from gateway.status import get_running_pid, read_runtime_status
try:
from fastapi import FastAPI, HTTPException, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse, JSONResponse
from fastapi.responses import FileResponse, HTMLResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel
except ImportError:
@@ -85,6 +86,44 @@ app.add_middleware(
allow_headers=["*"],
)
# ---------------------------------------------------------------------------
# Endpoints that do NOT require the session token. Everything else under
# /api/ is gated by the auth middleware below. Keep this list minimal —
# only truly non-sensitive, read-only endpoints belong here.
# ---------------------------------------------------------------------------
_PUBLIC_API_PATHS: frozenset = frozenset({
"/api/status",
"/api/config/defaults",
"/api/config/schema",
"/api/model/info",
})
def _require_token(request: Request) -> None:
"""Validate the ephemeral session token. Raises 401 on mismatch.
Uses ``hmac.compare_digest`` to prevent timing side-channels.
"""
auth = request.headers.get("authorization", "")
expected = f"Bearer {_SESSION_TOKEN}"
if not hmac.compare_digest(auth.encode(), expected.encode()):
raise HTTPException(status_code=401, detail="Unauthorized")
@app.middleware("http")
async def auth_middleware(request: Request, call_next):
"""Require the session token on all /api/ routes except the public list."""
path = request.url.path
if path.startswith("/api/") and path not in _PUBLIC_API_PATHS:
auth = request.headers.get("authorization", "")
expected = f"Bearer {_SESSION_TOKEN}"
if not hmac.compare_digest(auth.encode(), expected.encode()):
return JSONResponse(
status_code=401,
content={"detail": "Unauthorized"},
)
return await call_next(request)
# ---------------------------------------------------------------------------
# Config schema — auto-generated from DEFAULT_CONFIG
@@ -97,6 +136,11 @@ _SCHEMA_OVERRIDES: Dict[str, Dict[str, Any]] = {
"description": "Default model (e.g. anthropic/claude-sonnet-4.6)",
"category": "general",
},
"model_context_length": {
"type": "number",
"description": "Context window override (0 = auto-detect from model metadata)",
"category": "general",
},
"terminal.backend": {
"type": "select",
"description": "Terminal execution backend",
@@ -247,6 +291,17 @@ def _build_schema_from_config(
CONFIG_SCHEMA = _build_schema_from_config(DEFAULT_CONFIG)
# Inject virtual fields that don't live in DEFAULT_CONFIG but are surfaced
# by the normalize/denormalize cycle. Insert model_context_length right after
# the "model" key so it renders adjacent in the frontend.
_mcl_entry = _SCHEMA_OVERRIDES["model_context_length"]
_ordered_schema: Dict[str, Dict[str, Any]] = {}
for _k, _v in CONFIG_SCHEMA.items():
_ordered_schema[_k] = _v
if _k == "model":
_ordered_schema["model_context_length"] = _mcl_entry
CONFIG_SCHEMA = _ordered_schema
class ConfigUpdate(BaseModel):
config: dict
@@ -265,12 +320,68 @@ class EnvVarReveal(BaseModel):
key: str
_GATEWAY_HEALTH_URL = os.getenv("GATEWAY_HEALTH_URL")
_GATEWAY_HEALTH_TIMEOUT = float(os.getenv("GATEWAY_HEALTH_TIMEOUT", "3"))
def _probe_gateway_health() -> tuple[bool, dict | None]:
"""Probe the gateway via its HTTP health endpoint (cross-container).
Uses ``/health/detailed`` first (returns full state), falling back to
the simpler ``/health`` endpoint. Returns ``(is_alive, body_dict)``.
Accepts any of these as ``GATEWAY_HEALTH_URL``:
- ``http://gateway:8642`` (base URL recommended)
- ``http://gateway:8642/health`` (explicit health path)
- ``http://gateway:8642/health/detailed`` (explicit detailed path)
This is a **blocking** call run via ``run_in_executor`` from async code.
"""
if not _GATEWAY_HEALTH_URL:
return False, None
# Normalise to base URL so we always probe the right paths regardless of
# whether the user included /health or /health/detailed in the env var.
base = _GATEWAY_HEALTH_URL.rstrip("/")
if base.endswith("/health/detailed"):
base = base[: -len("/health/detailed")]
elif base.endswith("/health"):
base = base[: -len("/health")]
for path in (f"{base}/health/detailed", f"{base}/health"):
try:
req = urllib.request.Request(path, method="GET")
with urllib.request.urlopen(req, timeout=_GATEWAY_HEALTH_TIMEOUT) as resp:
if resp.status == 200:
body = json.loads(resp.read())
return True, body
except Exception:
continue
return False, None
@app.get("/api/status")
async def get_status():
current_ver, latest_ver = check_config_version()
# --- Gateway liveness detection ---
# Try local PID check first (same-host). If that fails and a remote
# GATEWAY_HEALTH_URL is configured, probe the gateway over HTTP so the
# dashboard works when the gateway runs in a separate container.
gateway_pid = get_running_pid()
gateway_running = gateway_pid is not None
remote_health_body: dict | None = None
if not gateway_running and _GATEWAY_HEALTH_URL:
loop = asyncio.get_event_loop()
alive, remote_health_body = await loop.run_in_executor(
None, _probe_gateway_health
)
if alive:
gateway_running = True
# PID from the remote container (display only — not locally valid)
if remote_health_body:
gateway_pid = remote_health_body.get("pid")
gateway_state = None
gateway_platforms: dict = {}
@@ -287,7 +398,12 @@ async def get_status():
except Exception:
configured_gateway_platforms = None
# Prefer the detailed health endpoint response (has full state) when the
# local runtime status file is absent or stale (cross-container).
runtime = read_runtime_status()
if runtime is None and remote_health_body and remote_health_body.get("gateway_state"):
runtime = remote_health_body
if runtime:
gateway_state = runtime.get("gateway_state")
gateway_platforms = runtime.get("platforms") or {}
@@ -302,6 +418,17 @@ async def get_status():
if not gateway_running:
gateway_state = gateway_state if gateway_state in ("stopped", "startup_failed") else "stopped"
gateway_platforms = {}
elif gateway_running and remote_health_body is not None:
# The health probe confirmed the gateway is alive, but the local
# runtime status file may be stale (cross-container). Override
# stopped/None state so the dashboard shows the correct badge.
if gateway_state in (None, "stopped"):
gateway_state = "running"
# If there was no runtime info at all but the health probe confirmed alive,
# ensure we still report the gateway as running (no shared volume scenario).
if gateway_running and gateway_state is None and remote_health_body is not None:
gateway_state = "running"
active_sessions = 0
try:
@@ -409,11 +536,19 @@ def _normalize_config_for_web(config: Dict[str, Any]) -> Dict[str, Any]:
or a dict (``{default: ..., provider: ..., base_url: ...}``). The schema is built
from DEFAULT_CONFIG where ``model`` is a string, but user configs often have the
dict form. Normalize to the string form so the frontend schema matches.
Also surfaces ``model_context_length`` as a top-level field so the web UI can
display and edit it. A value of 0 means "auto-detect".
"""
config = dict(config) # shallow copy
model_val = config.get("model")
if isinstance(model_val, dict):
# Extract context_length before flattening the dict
ctx_len = model_val.get("context_length", 0)
config["model"] = model_val.get("default", model_val.get("name", ""))
config["model_context_length"] = ctx_len if isinstance(ctx_len, int) else 0
else:
config["model_context_length"] = 0
return config
@@ -434,6 +569,93 @@ async def get_schema():
return {"fields": CONFIG_SCHEMA, "category_order": _CATEGORY_ORDER}
_EMPTY_MODEL_INFO: dict = {
"model": "",
"provider": "",
"auto_context_length": 0,
"config_context_length": 0,
"effective_context_length": 0,
"capabilities": {},
}
@app.get("/api/model/info")
def get_model_info():
"""Return resolved model metadata for the currently configured model.
Calls the same context-length resolution chain the agent uses, so the
frontend can display "Auto-detected: 200K" alongside the override field.
Also returns model capabilities (vision, reasoning, tools) when available.
"""
try:
cfg = load_config()
model_cfg = cfg.get("model", "")
# Extract model name and provider from the config
if isinstance(model_cfg, dict):
model_name = model_cfg.get("default", model_cfg.get("name", ""))
provider = model_cfg.get("provider", "")
base_url = model_cfg.get("base_url", "")
config_ctx = model_cfg.get("context_length")
else:
model_name = str(model_cfg) if model_cfg else ""
provider = ""
base_url = ""
config_ctx = None
if not model_name:
return dict(_EMPTY_MODEL_INFO, provider=provider)
# Resolve auto-detected context length (pass config_ctx=None to get
# purely auto-detected value, then separately report the override)
try:
from agent.model_metadata import get_model_context_length
auto_ctx = get_model_context_length(
model=model_name,
base_url=base_url,
provider=provider,
config_context_length=None, # ignore override — we want auto value
)
except Exception:
auto_ctx = 0
config_ctx_int = 0
if isinstance(config_ctx, int) and config_ctx > 0:
config_ctx_int = config_ctx
# Effective is what the agent actually uses
effective_ctx = config_ctx_int if config_ctx_int > 0 else auto_ctx
# Try to get model capabilities from models.dev
caps = {}
try:
from agent.models_dev import get_model_capabilities
mc = get_model_capabilities(provider=provider, model=model_name)
if mc is not None:
caps = {
"supports_tools": mc.supports_tools,
"supports_vision": mc.supports_vision,
"supports_reasoning": mc.supports_reasoning,
"context_window": mc.context_window,
"max_output_tokens": mc.max_output_tokens,
"model_family": mc.model_family,
}
except Exception:
pass
return {
"model": model_name,
"provider": provider,
"auto_context_length": auto_ctx,
"config_context_length": config_ctx_int,
"effective_context_length": effective_ctx,
"capabilities": caps,
}
except Exception:
_log.exception("GET /api/model/info failed")
return dict(_EMPTY_MODEL_INFO)
def _denormalize_config_from_web(config: Dict[str, Any]) -> Dict[str, Any]:
"""Reverse _normalize_config_for_web before saving.
@@ -441,12 +663,24 @@ def _denormalize_config_from_web(config: Dict[str, Any]) -> Dict[str, Any]:
to recover model subkeys (provider, base_url, api_mode, etc.) that were
stripped from the GET response. The frontend only sees model as a flat
string; the rest is preserved transparently.
Also handles ``model_context_length`` writes it back into the model dict
as ``context_length``. A value of 0 or absent means "auto-detect" (omitted
from the dict so get_model_context_length() uses its normal resolution).
"""
config = dict(config)
# Remove any _model_meta that might have leaked in (shouldn't happen
# with the stripped GET response, but be defensive)
config.pop("_model_meta", None)
# Extract and remove model_context_length before processing model
ctx_override = config.pop("model_context_length", 0)
if not isinstance(ctx_override, int):
try:
ctx_override = int(ctx_override)
except (TypeError, ValueError):
ctx_override = 0
model_val = config.get("model")
if isinstance(model_val, str) and model_val:
# Read the current disk config to recover model subkeys
@@ -456,7 +690,20 @@ def _denormalize_config_from_web(config: Dict[str, Any]) -> Dict[str, Any]:
if isinstance(disk_model, dict):
# Preserve all subkeys, update default with the new value
disk_model["default"] = model_val
# Write context_length into the model dict (0 = remove/auto)
if ctx_override > 0:
disk_model["context_length"] = ctx_override
else:
disk_model.pop("context_length", None)
config["model"] = disk_model
else:
# Model was previously a bare string — upgrade to dict if
# user is setting a context_length override
if ctx_override > 0:
config["model"] = {
"default": model_val,
"context_length": ctx_override,
}
except Exception:
pass # can't read disk config — just use the string form
return config
@@ -472,17 +719,6 @@ async def update_config(body: ConfigUpdate):
raise HTTPException(status_code=500, detail="Internal server error")
@app.get("/api/auth/session-token")
async def get_session_token():
"""Return the ephemeral session token for this server instance.
The token protects sensitive endpoints (reveal). It's served to the SPA
which stores it in memory it's never persisted and dies when the server
process exits. CORS already restricts this to localhost origins.
"""
return {"token": _SESSION_TOKEN}
@app.get("/api/env")
async def get_env_vars():
env_on_disk = load_env()
@@ -536,9 +772,7 @@ async def reveal_env_var(body: EnvVarReveal, request: Request):
- Audit logging
"""
# --- Token check ---
auth = request.headers.get("authorization", "")
if auth != f"Bearer {_SESSION_TOKEN}":
raise HTTPException(status_code=401, detail="Unauthorized")
_require_token(request)
# --- Rate limit ---
now = time.time()
@@ -809,9 +1043,7 @@ async def list_oauth_providers():
@app.delete("/api/providers/oauth/{provider_id}")
async def disconnect_oauth_provider(provider_id: str, request: Request):
"""Disconnect an OAuth provider. Token-protected (matches /env/reveal)."""
auth = request.headers.get("authorization", "")
if auth != f"Bearer {_SESSION_TOKEN}":
raise HTTPException(status_code=401, detail="Unauthorized")
_require_token(request)
valid_ids = {p["id"] for p in _OAUTH_PROVIDER_CATALOG}
if provider_id not in valid_ids:
@@ -1217,6 +1449,22 @@ def _nous_poller(session_id: str) -> None:
"base_url": full_state.get("inference_base_url"),
})
pool.add_entry(entry)
# Also persist to auth store so get_nous_auth_status() sees it
# (matches what _login_nous in auth.py does for the CLI flow).
try:
from hermes_cli.auth import (
_load_auth_store, _save_provider_state, _save_auth_store,
_auth_store_lock,
)
with _auth_store_lock():
auth_store = _load_auth_store()
_save_provider_state(auth_store, "nous", full_state)
_save_auth_store(auth_store)
except Exception as store_exc:
_log.warning(
"oauth/device: credential pool saved but auth store write failed "
"(session=%s): %s", session_id, store_exc,
)
with _oauth_sessions_lock:
sess["status"] = "approved"
_log.info("oauth/device: nous login completed (session=%s)", session_id)
@@ -1367,9 +1615,7 @@ def _codex_full_login_worker(session_id: str) -> None:
@app.post("/api/providers/oauth/{provider_id}/start")
async def start_oauth_login(provider_id: str, request: Request):
"""Initiate an OAuth login flow. Token-protected."""
auth = request.headers.get("authorization", "")
if auth != f"Bearer {_SESSION_TOKEN}":
raise HTTPException(status_code=401, detail="Unauthorized")
_require_token(request)
_gc_oauth_sessions()
valid = {p["id"] for p in _OAUTH_PROVIDER_CATALOG}
if provider_id not in valid:
@@ -1401,9 +1647,7 @@ class OAuthSubmitBody(BaseModel):
@app.post("/api/providers/oauth/{provider_id}/submit")
async def submit_oauth_code(provider_id: str, body: OAuthSubmitBody, request: Request):
"""Submit the auth code for PKCE flows. Token-protected."""
auth = request.headers.get("authorization", "")
if auth != f"Bearer {_SESSION_TOKEN}":
raise HTTPException(status_code=401, detail="Unauthorized")
_require_token(request)
if provider_id == "anthropic":
return await asyncio.get_event_loop().run_in_executor(
None, _submit_anthropic_pkce, body.session_id, body.code,
@@ -1431,9 +1675,7 @@ async def poll_oauth_session(provider_id: str, session_id: str):
@app.delete("/api/providers/oauth/sessions/{session_id}")
async def cancel_oauth_session(session_id: str, request: Request):
"""Cancel a pending OAuth session. Token-protected."""
auth = request.headers.get("authorization", "")
if auth != f"Bearer {_SESSION_TOKEN}":
raise HTTPException(status_code=401, detail="Unauthorized")
_require_token(request)
with _oauth_sessions_lock:
sess = _oauth_sessions.pop(session_id, None)
if sess is None:
@@ -1781,7 +2023,12 @@ async def get_usage_analytics(days: int = 30):
def mount_spa(application: FastAPI):
"""Mount the built SPA. Falls back to index.html for client-side routing."""
"""Mount the built SPA. Falls back to index.html for client-side routing.
The session token is injected into index.html via a ``<script>`` tag so
the SPA can authenticate against protected API endpoints without a
separate (unauthenticated) token-dispensing endpoint.
"""
if not WEB_DIST.exists():
@application.get("/{full_path:path}")
async def no_frontend(full_path: str):
@@ -1791,6 +2038,20 @@ def mount_spa(application: FastAPI):
)
return
_index_path = WEB_DIST / "index.html"
def _serve_index():
"""Return index.html with the session token injected."""
html = _index_path.read_text()
token_script = (
f'<script>window.__HERMES_SESSION_TOKEN__="{_SESSION_TOKEN}";</script>'
)
html = html.replace("</head>", f"{token_script}</head>", 1)
return HTMLResponse(
html,
headers={"Cache-Control": "no-store, no-cache, must-revalidate"},
)
application.mount("/assets", StaticFiles(directory=WEB_DIST / "assets"), name="assets")
@application.get("/{full_path:path}")
@@ -1804,24 +2065,32 @@ def mount_spa(application: FastAPI):
and file_path.is_file()
):
return FileResponse(file_path)
return FileResponse(
WEB_DIST / "index.html",
headers={"Cache-Control": "no-store, no-cache, must-revalidate"},
)
return _serve_index()
mount_spa(app)
def start_server(host: str = "127.0.0.1", port: int = 9119, open_browser: bool = True):
def start_server(
host: str = "127.0.0.1",
port: int = 9119,
open_browser: bool = True,
allow_public: bool = False,
):
"""Start the web UI server."""
import uvicorn
if host not in ("127.0.0.1", "localhost", "::1"):
import logging
logging.warning(
"Binding to %s — the web UI exposes config and API keys. "
"Only bind to non-localhost if you trust all users on the network.", host,
_LOCALHOST = ("127.0.0.1", "localhost", "::1")
if host not in _LOCALHOST and not allow_public:
raise SystemExit(
f"Refusing to bind to {host} — the dashboard exposes API keys "
f"and config without robust authentication.\n"
f"Use --insecure to override (NOT recommended on untrusted networks)."
)
if host not in _LOCALHOST:
_log.warning(
"Binding to %s with --insecure — the dashboard has no robust "
"authentication. Only use on trusted networks.", host,
)
if open_browser:
-6
View File
@@ -237,10 +237,6 @@ def get_skills_dir() -> Path:
return get_hermes_home() / "skills"
def get_logs_dir() -> Path:
"""Return the path to the logs directory under HERMES_HOME."""
return get_hermes_home() / "logs"
def get_env_path() -> Path:
"""Return the path to the ``.env`` file under HERMES_HOME."""
@@ -296,5 +292,3 @@ OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"
OPENROUTER_MODELS_URL = f"{OPENROUTER_BASE_URL}/models"
AI_GATEWAY_BASE_URL = "https://ai-gateway.vercel.sh/v1"
NOUS_API_BASE_URL = "https://inference-api.nousresearch.com/v1"
+2 -6
View File
@@ -79,12 +79,7 @@ def set_session_context(session_id: str) -> None:
def clear_session_context() -> None:
"""Clear the session ID for the current thread.
Optional ``set_session_context()`` overwrites the previous value,
so explicit clearing is only needed if the thread is reused for
non-conversation work after ``run_conversation()`` returns.
"""
"""Clear the session ID for the current thread."""
_session_context.session_id = None
@@ -363,6 +358,7 @@ def _add_rotating_handler(
path.parent.mkdir(parents=True, exist_ok=True)
handler = _ManagedRotatingFileHandler(
str(path), maxBytes=max_bytes, backupCount=backup_count,
encoding="utf-8",
)
handler.setLevel(level)
handler.setFormatter(formatter)
+46 -61
View File
@@ -26,7 +26,7 @@ import logging
import threading
from typing import Dict, Any, List, Optional, Tuple
from tools.registry import registry
from tools.registry import discover_builtin_tools, registry
from toolsets import resolve_toolset, validate_toolset
logger = logging.getLogger(__name__)
@@ -129,45 +129,7 @@ def _run_async(coro):
# Tool Discovery (importing each module triggers its registry.register calls)
# =============================================================================
def _discover_tools():
"""Import all tool modules to trigger their registry.register() calls.
Wrapped in a function so import errors in optional tools (e.g., fal_client
not installed) don't prevent the rest from loading.
"""
_modules = [
"tools.web_tools",
"tools.terminal_tool",
"tools.file_tools",
"tools.vision_tools",
"tools.mixture_of_agents_tool",
"tools.image_generation_tool",
"tools.skills_tool",
"tools.skill_manager_tool",
"tools.browser_tool",
"tools.cronjob_tools",
"tools.rl_training_tool",
"tools.tts_tool",
"tools.todo_tool",
"tools.memory_tool",
"tools.session_search_tool",
"tools.clarify_tool",
"tools.code_execution_tool",
"tools.delegate_tool",
"tools.process_registry",
"tools.send_message_tool",
# "tools.honcho_tools", # Removed — Honcho is now a memory provider plugin
"tools.homeassistant_tool",
]
import importlib
for mod_name in _modules:
try:
importlib.import_module(mod_name)
except Exception as e:
logger.warning("Could not import tool module %s: %s", mod_name, e)
_discover_tools()
discover_builtin_tools()
# MCP tool discovery (external MCP servers from config)
try:
@@ -464,6 +426,7 @@ def handle_function_call(
session_id: Optional[str] = None,
user_task: Optional[str] = None,
enabled_tools: Optional[List[str]] = None,
skip_pre_tool_call_hook: bool = False,
) -> str:
"""
Main function call dispatcher that routes calls to the tool registry.
@@ -484,31 +447,53 @@ def handle_function_call(
# Coerce string arguments to their schema-declared types (e.g. "42"→42)
function_args = coerce_tool_args(function_name, function_args)
# Notify the read-loop tracker when a non-read/search tool runs,
# so the *consecutive* counter resets (reads after other work are fine).
if function_name not in _READ_SEARCH_TOOLS:
try:
from tools.file_tools import notify_other_tool_call
notify_other_tool_call(task_id or "default")
except Exception:
pass # file_tools may not be loaded yet
try:
if function_name in _AGENT_LOOP_TOOLS:
return json.dumps({"error": f"{function_name} must be handled by the agent loop"})
try:
from hermes_cli.plugins import invoke_hook
invoke_hook(
"pre_tool_call",
tool_name=function_name,
args=function_args,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
except Exception:
pass
# Check plugin hooks for a block directive (unless caller already
# checked — e.g. run_agent._invoke_tool passes skip=True to
# avoid double-firing the hook).
if not skip_pre_tool_call_hook:
block_message: Optional[str] = None
try:
from hermes_cli.plugins import get_pre_tool_call_block_message
block_message = get_pre_tool_call_block_message(
function_name,
function_args,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
except Exception:
pass
if block_message is not None:
return json.dumps({"error": block_message}, ensure_ascii=False)
else:
# Still fire the hook for observers — just don't check for blocking
# (the caller already did that).
try:
from hermes_cli.plugins import invoke_hook
invoke_hook(
"pre_tool_call",
tool_name=function_name,
args=function_args,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
except Exception:
pass
# Notify the read-loop tracker when a non-read/search tool runs,
# so the *consecutive* counter resets (reads after other work are fine).
if function_name not in _READ_SEARCH_TOOLS:
try:
from tools.file_tools import notify_other_tool_call
notify_other_tool_call(task_id or "default")
except Exception:
pass # file_tools may not be loaded yet
if function_name == "execute_code":
# Prefer the caller-provided list so subagents can't overwrite
@@ -0,0 +1,255 @@
---
name: fitness-nutrition
description: >
Gym workout planner and nutrition tracker. Search 690+ exercises by muscle,
equipment, or category via wger. Look up macros and calories for 380,000+
foods via USDA FoodData Central. Compute BMI, TDEE, one-rep max, macro
splits, and body fat — pure Python, no pip installs. Built for anyone
chasing gains, cutting weight, or just trying to eat better.
version: 1.0.0
authors:
- haileymarshall
license: MIT
metadata:
hermes:
tags: [health, fitness, nutrition, gym, workout, diet, exercise]
category: health
prerequisites:
commands: [curl, python3]
required_environment_variables:
- name: USDA_API_KEY
prompt: "USDA FoodData Central API key (free)"
help: "Get one free at https://fdc.nal.usda.gov/api-key-signup/ — or skip to use DEMO_KEY with lower rate limits"
required_for: "higher rate limits on food/nutrition lookups (DEMO_KEY works without signup)"
optional: true
---
# Fitness & Nutrition
Expert fitness coach and sports nutritionist skill. Two data sources
plus offline calculators — everything a gym-goer needs in one place.
**Data sources (all free, no pip dependencies):**
- **wger** (https://wger.de/api/v2/) — open exercise database, 690+ exercises with muscles, equipment, images. Public endpoints need zero authentication.
- **USDA FoodData Central** (https://api.nal.usda.gov/fdc/v1/) — US government nutrition database, 380,000+ foods. `DEMO_KEY` works instantly; free signup for higher limits.
**Offline calculators (pure stdlib Python):**
- BMI, TDEE (Mifflin-St Jeor), one-rep max (Epley/Brzycki/Lombardi), macro splits, body fat % (US Navy method)
---
## When to Use
Trigger this skill when the user asks about:
- Exercises, workouts, gym routines, muscle groups, workout splits
- Food macros, calories, protein content, meal planning, calorie counting
- Body composition: BMI, body fat, TDEE, caloric surplus/deficit
- One-rep max estimates, training percentages, progressive overload
- Macro ratios for cutting, bulking, or maintenance
---
## Procedure
### Exercise Lookup (wger API)
All wger public endpoints return JSON and require no auth. Always add
`format=json` and `language=2` (English) to exercise queries.
**Step 1 — Identify what the user wants:**
- By muscle → use `/api/v2/exercise/?muscles={id}&language=2&status=2&format=json`
- By category → use `/api/v2/exercise/?category={id}&language=2&status=2&format=json`
- By equipment → use `/api/v2/exercise/?equipment={id}&language=2&status=2&format=json`
- By name → use `/api/v2/exercise/search/?term={query}&language=english&format=json`
- Full details → use `/api/v2/exerciseinfo/{exercise_id}/?format=json`
**Step 2 — Reference IDs (so you don't need extra API calls):**
Exercise categories:
| ID | Category |
|----|-------------|
| 8 | Arms |
| 9 | Legs |
| 10 | Abs |
| 11 | Chest |
| 12 | Back |
| 13 | Shoulders |
| 14 | Calves |
| 15 | Cardio |
Muscles:
| ID | Muscle | ID | Muscle |
|----|---------------------------|----|-------------------------|
| 1 | Biceps brachii | 2 | Anterior deltoid |
| 3 | Serratus anterior | 4 | Pectoralis major |
| 5 | Obliquus externus | 6 | Gastrocnemius |
| 7 | Rectus abdominis | 8 | Gluteus maximus |
| 9 | Trapezius | 10 | Quadriceps femoris |
| 11 | Biceps femoris | 12 | Latissimus dorsi |
| 13 | Brachialis | 14 | Triceps brachii |
| 15 | Soleus | | |
Equipment:
| ID | Equipment |
|----|----------------|
| 1 | Barbell |
| 3 | Dumbbell |
| 4 | Gym mat |
| 5 | Swiss Ball |
| 6 | Pull-up bar |
| 7 | none (bodyweight) |
| 8 | Bench |
| 9 | Incline bench |
| 10 | Kettlebell |
**Step 3 — Fetch and present results:**
```bash
# Search exercises by name
QUERY="$1"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$QUERY")
curl -s "https://wger.de/api/v2/exercise/search/?term=${ENCODED}&language=english&format=json" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
for s in data.get('suggestions',[])[:10]:
d=s.get('data',{})
print(f\" ID {d.get('id','?'):>4} | {d.get('name','N/A'):<35} | Category: {d.get('category','N/A')}\")
"
```
```bash
# Get full details for a specific exercise
EXERCISE_ID="$1"
curl -s "https://wger.de/api/v2/exerciseinfo/${EXERCISE_ID}/?format=json" \
| python3 -c "
import json,sys,html,re
data=json.load(sys.stdin)
trans=[t for t in data.get('translations',[]) if t.get('language')==2]
t=trans[0] if trans else data.get('translations',[{}])[0]
desc=re.sub('<[^>]+>','',html.unescape(t.get('description','N/A')))
print(f\"Exercise : {t.get('name','N/A')}\")
print(f\"Category : {data.get('category',{}).get('name','N/A')}\")
print(f\"Primary : {', '.join(m.get('name_en','') for m in data.get('muscles',[])) or 'N/A'}\")
print(f\"Secondary : {', '.join(m.get('name_en','') for m in data.get('muscles_secondary',[])) or 'none'}\")
print(f\"Equipment : {', '.join(e.get('name','') for e in data.get('equipment',[])) or 'bodyweight'}\")
print(f\"How to : {desc[:500]}\")
imgs=data.get('images',[])
if imgs: print(f\"Image : {imgs[0].get('image','')}\")
"
```
```bash
# List exercises filtering by muscle, category, or equipment
# Combine filters as needed: ?muscles=4&equipment=1&language=2&status=2
FILTER="$1" # e.g. "muscles=4" or "category=11" or "equipment=3"
curl -s "https://wger.de/api/v2/exercise/?${FILTER}&language=2&status=2&limit=20&format=json" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
print(f'Found {data.get(\"count\",0)} exercises.')
for ex in data.get('results',[]):
print(f\" ID {ex['id']:>4} | muscles: {ex.get('muscles',[])} | equipment: {ex.get('equipment',[])}\")
"
```
### Nutrition Lookup (USDA FoodData Central)
Uses `USDA_API_KEY` env var if set, otherwise falls back to `DEMO_KEY`.
DEMO_KEY = 30 requests/hour. Free signup key = 1,000 requests/hour.
```bash
# Search foods by name
FOOD="$1"
API_KEY="${USDA_API_KEY:-DEMO_KEY}"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$FOOD")
curl -s "https://api.nal.usda.gov/fdc/v1/foods/search?api_key=${API_KEY}&query=${ENCODED}&pageSize=5&dataType=Foundation,SR%20Legacy" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
foods=data.get('foods',[])
if not foods: print('No foods found.'); sys.exit()
for f in foods:
n={x['nutrientName']:x.get('value','?') for x in f.get('foodNutrients',[])}
cal=n.get('Energy','?'); prot=n.get('Protein','?')
fat=n.get('Total lipid (fat)','?'); carb=n.get('Carbohydrate, by difference','?')
print(f\"{f.get('description','N/A')}\")
print(f\" Per 100g: {cal} kcal | {prot}g protein | {fat}g fat | {carb}g carbs\")
print(f\" FDC ID: {f.get('fdcId','N/A')}\")
print()
"
```
```bash
# Detailed nutrient profile by FDC ID
FDC_ID="$1"
API_KEY="${USDA_API_KEY:-DEMO_KEY}"
curl -s "https://api.nal.usda.gov/fdc/v1/food/${FDC_ID}?api_key=${API_KEY}" \
| python3 -c "
import json,sys
d=json.load(sys.stdin)
print(f\"Food: {d.get('description','N/A')}\")
print(f\"{'Nutrient':<40} {'Amount':>8} {'Unit'}\")
print('-'*56)
for x in sorted(d.get('foodNutrients',[]),key=lambda x:x.get('nutrient',{}).get('rank',9999)):
nut=x.get('nutrient',{}); amt=x.get('amount',0)
if amt and float(amt)>0:
print(f\" {nut.get('name',''):<38} {amt:>8} {nut.get('unitName','')}\")
"
```
### Offline Calculators
Use the helper scripts in `scripts/` for batch operations,
or run inline for single calculations:
- `python3 scripts/body_calc.py bmi <weight_kg> <height_cm>`
- `python3 scripts/body_calc.py tdee <weight_kg> <height_cm> <age> <M|F> <activity 1-5>`
- `python3 scripts/body_calc.py 1rm <weight> <reps>`
- `python3 scripts/body_calc.py macros <tdee_kcal> <cut|maintain|bulk>`
- `python3 scripts/body_calc.py bodyfat <M|F> <neck_cm> <waist_cm> [hip_cm] <height_cm>`
See `references/FORMULAS.md` for the science behind each formula.
---
## Pitfalls
- wger exercise endpoint returns **all languages by default** — always add `language=2` for English
- wger includes **unverified user submissions** — add `status=2` to only get approved exercises
- USDA `DEMO_KEY` has **30 req/hour** — add `sleep 2` between batch requests or get a free key
- USDA data is **per 100g** — remind users to scale to their actual portion size
- BMI does not distinguish muscle from fat — high BMI in muscular people is not necessarily unhealthy
- Body fat formulas are **estimates** (±3-5%) — recommend DEXA scans for precision
- 1RM formulas lose accuracy above 10 reps — use sets of 3-5 for best estimates
- wger's `exercise/search` endpoint uses `term` not `query` as the parameter name
---
## Verification
After running exercise search: confirm results include exercise names, muscle groups, and equipment.
After nutrition lookup: confirm per-100g macros are returned with kcal, protein, fat, carbs.
After calculators: sanity-check outputs (e.g. TDEE should be 1500-3500 for most adults).
---
## Quick Reference
| Task | Source | Endpoint |
|------|--------|----------|
| Search exercises by name | wger | `GET /api/v2/exercise/search/?term=&language=english` |
| Exercise details | wger | `GET /api/v2/exerciseinfo/{id}/` |
| Filter by muscle | wger | `GET /api/v2/exercise/?muscles={id}&language=2&status=2` |
| Filter by equipment | wger | `GET /api/v2/exercise/?equipment={id}&language=2&status=2` |
| List categories | wger | `GET /api/v2/exercisecategory/` |
| List muscles | wger | `GET /api/v2/muscle/` |
| Search foods | USDA | `GET /fdc/v1/foods/search?query=&dataType=Foundation,SR Legacy` |
| Food details | USDA | `GET /fdc/v1/food/{fdcId}` |
| BMI / TDEE / 1RM / macros | offline | `python3 scripts/body_calc.py` |
@@ -0,0 +1,100 @@
# Formulas Reference
Scientific references for all calculators used in the fitness-nutrition skill.
## BMI (Body Mass Index)
**Formula:** BMI = weight (kg) / height (m)²
| Category | BMI Range |
|-------------|------------|
| Underweight | < 18.5 |
| Normal | 18.5 24.9 |
| Overweight | 25.0 29.9 |
| Obese | 30.0+ |
**Limitation:** BMI does not distinguish muscle from fat. A muscular person
can have a high BMI while being lean. Use body fat % for a better picture.
Reference: Quetelet, A. (1832). Keys et al., Int J Obes (1972).
## TDEE (Total Daily Energy Expenditure)
Uses the **Mifflin-St Jeor equation** — the most accurate BMR predictor for
the general population according to the ADA (2005).
**BMR formulas:**
- Male: BMR = 10 × weight(kg) + 6.25 × height(cm) 5 × age + 5
- Female: BMR = 10 × weight(kg) + 6.25 × height(cm) 5 × age 161
**Activity multipliers:**
| Level | Description | Multiplier |
|-------|--------------------------------|------------|
| 1 | Sedentary (desk job) | 1.200 |
| 2 | Lightly active (1-3 days/wk) | 1.375 |
| 3 | Moderately active (3-5 days) | 1.550 |
| 4 | Very active (6-7 days) | 1.725 |
| 5 | Extremely active (2x/day) | 1.900 |
Reference: Mifflin et al., Am J Clin Nutr 51, 241-247 (1990).
## One-Rep Max (1RM)
Three validated formulas. Average of all three is most reliable.
- **Epley:** 1RM = w × (1 + r/30)
- **Brzycki:** 1RM = w × 36 / (37 r)
- **Lombardi:** 1RM = w × r^0.1
All formulas are most accurate for r ≤ 10. Above 10 reps, error increases.
Reference: LeSuer et al., J Strength Cond Res 11(4), 211-213 (1997).
## Macro Splits
Recommended splits based on goal:
| Goal | Protein | Fat | Carbs | Calorie Offset |
|-------------|---------|------|-------|----------------|
| Fat loss | 40% | 30% | 30% | 500 kcal |
| Maintenance | 30% | 30% | 40% | 0 |
| Lean bulk | 30% | 25% | 45% | +400 kcal |
Protein targets for muscle growth: 1.62.2 g/kg body weight per day.
Minimum fat intake: 0.5 g/kg to support hormone production.
Conversion: Protein = 4 kcal/g, Fat = 9 kcal/g, Carbs = 4 kcal/g.
Reference: Morton et al., Br J Sports Med 52, 376384 (2018).
## Body Fat % (US Navy Method)
**Male:**
BF% = 86.010 × log₁₀(waist neck) 70.041 × log₁₀(height) + 36.76
**Female:**
BF% = 163.205 × log₁₀(waist + hip neck) 97.684 × log₁₀(height) 78.387
All measurements in centimeters.
| Category | Male | Female |
|--------------|--------|--------|
| Essential | 2-5% | 10-13% |
| Athletic | 6-13% | 14-20% |
| Fitness | 14-17% | 21-24% |
| Average | 18-24% | 25-31% |
| Obese | 25%+ | 32%+ |
Accuracy: ±3-5% compared to DEXA. Measure at the navel (waist),
at the Adam's apple (neck), and widest point (hip, females only).
Reference: Hodgdon & Beckett, Naval Health Research Center (1984).
## APIs
- wger: https://wger.de/api/v2/ — AGPL-3.0, exercise data is CC-BY-SA 3.0
- USDA FoodData Central: https://api.nal.usda.gov/fdc/v1/ — public domain (CC0 1.0)
@@ -0,0 +1,210 @@
#!/usr/bin/env python3
"""
body_calc.py All-in-one fitness calculator.
Subcommands:
bmi <weight_kg> <height_cm>
tdee <weight_kg> <height_cm> <age> <M|F> <activity 1-5>
1rm <weight> <reps>
macros <tdee_kcal> <cut|maintain|bulk>
bodyfat <M|F> <neck_cm> <waist_cm> [hip_cm] <height_cm>
No external dependencies stdlib only.
"""
import sys
import math
def bmi(weight_kg, height_cm):
h = height_cm / 100
val = weight_kg / (h * h)
if val < 18.5:
cat = "Underweight"
elif val < 25:
cat = "Normal weight"
elif val < 30:
cat = "Overweight"
else:
cat = "Obese"
print(f"BMI: {val:.1f}{cat}")
print()
print("Ranges:")
print(f" Underweight : < 18.5")
print(f" Normal : 18.5 24.9")
print(f" Overweight : 25.0 29.9")
print(f" Obese : 30.0+")
def tdee(weight_kg, height_cm, age, sex, activity):
if sex.upper() == "M":
bmr = 10 * weight_kg + 6.25 * height_cm - 5 * age + 5
else:
bmr = 10 * weight_kg + 6.25 * height_cm - 5 * age - 161
multipliers = {
1: ("Sedentary (desk job, no exercise)", 1.2),
2: ("Lightly active (1-3 days/week)", 1.375),
3: ("Moderately active (3-5 days/week)", 1.55),
4: ("Very active (6-7 days/week)", 1.725),
5: ("Extremely active (athlete + physical job)", 1.9),
}
label, mult = multipliers.get(activity, ("Moderate", 1.55))
total = bmr * mult
print(f"BMR (Mifflin-St Jeor): {bmr:.0f} kcal/day")
print(f"Activity: {label} (x{mult})")
print(f"TDEE: {total:.0f} kcal/day")
print()
print("Calorie targets:")
print(f" Aggressive cut (-750): {total - 750:.0f} kcal/day")
print(f" Fat loss (-500): {total - 500:.0f} kcal/day")
print(f" Mild cut (-250): {total - 250:.0f} kcal/day")
print(f" Maintenance : {total:.0f} kcal/day")
print(f" Lean bulk (+250): {total + 250:.0f} kcal/day")
print(f" Bulk (+500): {total + 500:.0f} kcal/day")
def one_rep_max(weight, reps):
if reps < 1:
print("Error: reps must be at least 1.")
sys.exit(1)
if reps == 1:
print(f"1RM = {weight:.1f} (actual single)")
return
epley = weight * (1 + reps / 30)
brzycki = weight * (36 / (37 - reps)) if reps < 37 else 0
lombardi = weight * (reps ** 0.1)
avg = (epley + brzycki + lombardi) / 3
print(f"Estimated 1RM ({weight} x {reps} reps):")
print(f" Epley : {epley:.1f}")
print(f" Brzycki : {brzycki:.1f}")
print(f" Lombardi : {lombardi:.1f}")
print(f" Average : {avg:.1f}")
print()
print("Training percentages off average 1RM:")
for pct, rep_range in [
(100, "1"), (95, "1-2"), (90, "3-4"), (85, "4-6"),
(80, "6-8"), (75, "8-10"), (70, "10-12"),
(65, "12-15"), (60, "15-20"),
]:
print(f" {pct:>3}% = {avg * pct / 100:>7.1f} (~{rep_range} reps)")
def macros(tdee_kcal, goal):
goal = goal.lower()
if goal in ("cut", "lose", "deficit"):
cals = tdee_kcal - 500
p, f, c = 0.40, 0.30, 0.30
label = "Fat Loss (-500 kcal)"
elif goal in ("bulk", "gain", "surplus"):
cals = tdee_kcal + 400
p, f, c = 0.30, 0.25, 0.45
label = "Lean Bulk (+400 kcal)"
else:
cals = tdee_kcal
p, f, c = 0.30, 0.30, 0.40
label = "Maintenance"
prot_g = cals * p / 4
fat_g = cals * f / 9
carb_g = cals * c / 4
print(f"Goal: {label}")
print(f"Daily calories: {cals:.0f} kcal")
print()
print(f" Protein : {prot_g:>6.0f}g ({p * 100:.0f}%) = {prot_g * 4:.0f} kcal")
print(f" Fat : {fat_g:>6.0f}g ({f * 100:.0f}%) = {fat_g * 9:.0f} kcal")
print(f" Carbs : {carb_g:>6.0f}g ({c * 100:.0f}%) = {carb_g * 4:.0f} kcal")
print()
print(f"Per meal (3 meals): P {prot_g / 3:.0f}g | F {fat_g / 3:.0f}g | C {carb_g / 3:.0f}g")
print(f"Per meal (4 meals): P {prot_g / 4:.0f}g | F {fat_g / 4:.0f}g | C {carb_g / 4:.0f}g")
def bodyfat(sex, neck_cm, waist_cm, hip_cm, height_cm):
sex = sex.upper()
if sex == "M":
if waist_cm <= neck_cm:
print("Error: waist must be larger than neck."); sys.exit(1)
bf = 86.010 * math.log10(waist_cm - neck_cm) - 70.041 * math.log10(height_cm) + 36.76
else:
if (waist_cm + hip_cm) <= neck_cm:
print("Error: waist + hip must be larger than neck."); sys.exit(1)
bf = 163.205 * math.log10(waist_cm + hip_cm - neck_cm) - 97.684 * math.log10(height_cm) - 78.387
print(f"Estimated body fat: {bf:.1f}%")
if sex == "M":
ranges = [
(6, "Essential fat (2-5%)"),
(14, "Athletic (6-13%)"),
(18, "Fitness (14-17%)"),
(25, "Average (18-24%)"),
]
default = "Obese (25%+)"
else:
ranges = [
(14, "Essential fat (10-13%)"),
(21, "Athletic (14-20%)"),
(25, "Fitness (21-24%)"),
(32, "Average (25-31%)"),
]
default = "Obese (32%+)"
cat = default
for threshold, label in ranges:
if bf < threshold:
cat = label
break
print(f"Category: {cat}")
print(f"Method: US Navy circumference formula")
def usage():
print(__doc__)
sys.exit(1)
def main():
if len(sys.argv) < 2:
usage()
cmd = sys.argv[1].lower()
try:
if cmd == "bmi":
bmi(float(sys.argv[2]), float(sys.argv[3]))
elif cmd == "tdee":
tdee(
float(sys.argv[2]), float(sys.argv[3]),
int(sys.argv[4]), sys.argv[5], int(sys.argv[6]),
)
elif cmd in ("1rm", "orm"):
one_rep_max(float(sys.argv[2]), int(sys.argv[3]))
elif cmd == "macros":
macros(float(sys.argv[2]), sys.argv[3])
elif cmd == "bodyfat":
sex = sys.argv[2]
if sex.upper() == "M":
bodyfat(sex, float(sys.argv[3]), float(sys.argv[4]), 0, float(sys.argv[5]))
else:
bodyfat(sex, float(sys.argv[3]), float(sys.argv[4]), float(sys.argv[5]), float(sys.argv[6]))
else:
print(f"Unknown command: {cmd}")
usage()
except (IndexError, ValueError) as e:
print(f"Error: {e}")
usage()
if __name__ == "__main__":
main()
@@ -0,0 +1,86 @@
#!/usr/bin/env python3
"""
nutrition_search.py Search USDA FoodData Central for nutrition info.
Usage:
python3 nutrition_search.py "chicken breast"
python3 nutrition_search.py "rice" "eggs" "broccoli"
echo -e "oats\\nbanana\\nwhey protein" | python3 nutrition_search.py -
Reads USDA_API_KEY from environment, falls back to DEMO_KEY.
No external dependencies.
"""
import sys
import os
import json
import time
import urllib.request
import urllib.parse
import urllib.error
API_KEY = os.environ.get("USDA_API_KEY", "DEMO_KEY")
BASE = "https://api.nal.usda.gov/fdc/v1"
def search(query, max_results=3):
encoded = urllib.parse.quote(query)
url = (
f"{BASE}/foods/search?api_key={API_KEY}"
f"&query={encoded}&pageSize={max_results}"
f"&dataType=Foundation,SR%20Legacy"
)
try:
req = urllib.request.Request(url, headers={"Accept": "application/json"})
with urllib.request.urlopen(req, timeout=15) as r:
return json.loads(r.read())
except Exception as e:
print(f" API error: {e}", file=sys.stderr)
return None
def display(food):
nutrients = {n["nutrientName"]: n.get("value", "?") for n in food.get("foodNutrients", [])}
cal = nutrients.get("Energy", "?")
prot = nutrients.get("Protein", "?")
fat = nutrients.get("Total lipid (fat)", "?")
carb = nutrients.get("Carbohydrate, by difference", "?")
fib = nutrients.get("Fiber, total dietary", "?")
sug = nutrients.get("Sugars, total including NLEA", "?")
print(f" {food.get('description', 'N/A')}")
print(f" Calories : {cal} kcal")
print(f" Protein : {prot}g")
print(f" Fat : {fat}g")
print(f" Carbs : {carb}g (fiber: {fib}g, sugar: {sug}g)")
print(f" FDC ID : {food.get('fdcId', 'N/A')}")
def main():
if len(sys.argv) < 2:
print(__doc__)
sys.exit(1)
if sys.argv[1] == "-":
queries = [line.strip() for line in sys.stdin if line.strip()]
else:
queries = sys.argv[1:]
for query in queries:
print(f"\n--- {query.upper()} (per 100g) ---")
data = search(query, max_results=2)
if not data or not data.get("foods"):
print(" No results found.")
else:
for food in data["foods"]:
display(food)
print()
if len(queries) > 1:
time.sleep(1) # respect rate limits
if API_KEY == "DEMO_KEY":
print("\nTip: using DEMO_KEY (30 req/hr). Set USDA_API_KEY for 1000 req/hr.")
print("Free signup: https://fdc.nal.usda.gov/api-key-signup/")
if __name__ == "__main__":
main()
@@ -0,0 +1,226 @@
---
name: drug-discovery
description: >
Pharmaceutical research assistant for drug discovery workflows. Search
bioactive compounds on ChEMBL, calculate drug-likeness (Lipinski Ro5, QED,
TPSA, synthetic accessibility), look up drug-drug interactions via
OpenFDA, interpret ADMET profiles, and assist with lead optimization.
Use for medicinal chemistry questions, molecule property analysis, clinical
pharmacology, and open-science drug research.
version: 1.0.0
author: bennytimz
license: MIT
metadata:
hermes:
tags: [science, chemistry, pharmacology, research, health]
prerequisites:
commands: [curl, python3]
---
# Drug Discovery & Pharmaceutical Research
You are an expert pharmaceutical scientist and medicinal chemist with deep
knowledge of drug discovery, cheminformatics, and clinical pharmacology.
Use this skill for all pharma/chemistry research tasks.
## Core Workflows
### 1 — Bioactive Compound Search (ChEMBL)
Search ChEMBL (the world's largest open bioactivity database) for compounds
by target, activity, or molecule name. No API key required.
```bash
# Search compounds by target name (e.g. "EGFR", "COX-2", "ACE")
TARGET="$1"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$TARGET")
curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
targets=data.get('targets',[])[:5]
for t in targets:
print(f\"ChEMBL ID : {t.get('target_chembl_id')}\")
print(f\"Name : {t.get('pref_name')}\")
print(f\"Type : {t.get('target_type')}\")
print()
"
```
```bash
# Get bioactivity data for a ChEMBL target ID
TARGET_ID="$1" # e.g. CHEMBL203
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
acts=data.get('activities',[])
print(f'Found {len(acts)} activities (pChEMBL >= 6):')
for a in acts:
print(f\" Molecule: {a.get('molecule_chembl_id')} | {a.get('standard_type')}: {a.get('standard_value')} {a.get('standard_units')} | pChEMBL: {a.get('pchembl_value')}\")
"
```
```bash
# Look up a specific molecule by ChEMBL ID
MOL_ID="$1" # e.g. CHEMBL25 (aspirin)
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/${MOL_ID}?format=json" \
| python3 -c "
import json,sys
m=json.load(sys.stdin)
props=m.get('molecule_properties',{}) or {}
print(f\"Name : {m.get('pref_name','N/A')}\")
print(f\"SMILES : {m.get('molecule_structures',{}).get('canonical_smiles','N/A') if m.get('molecule_structures') else 'N/A'}\")
print(f\"MW : {props.get('full_mwt','N/A')} Da\")
print(f\"LogP : {props.get('alogp','N/A')}\")
print(f\"HBD : {props.get('hbd','N/A')}\")
print(f\"HBA : {props.get('hba','N/A')}\")
print(f\"TPSA : {props.get('psa','N/A')} Ų\")
print(f\"Ro5 violations: {props.get('num_ro5_violations','N/A')}\")
print(f\"QED : {props.get('qed_weighted','N/A')}\")
"
```
### 2 — Drug-Likeness Calculation (Lipinski Ro5 + Veber)
Assess any molecule against established oral bioavailability rules using
PubChem's free property API — no RDKit install needed.
```bash
COMPOUND="$1"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$COMPOUND")
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/property/MolecularWeight,XLogP,HBondDonorCount,HBondAcceptorCount,RotatableBondCount,TPSA,InChIKey/JSON" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
props=data['PropertyTable']['Properties'][0]
mw = float(props.get('MolecularWeight', 0))
logp = float(props.get('XLogP', 0))
hbd = int(props.get('HBondDonorCount', 0))
hba = int(props.get('HBondAcceptorCount', 0))
rot = int(props.get('RotatableBondCount', 0))
tpsa = float(props.get('TPSA', 0))
print('=== Lipinski Rule of Five (Ro5) ===')
print(f' MW {mw:.1f} Da {\"✓\" if mw<=500 else \"✗ VIOLATION (>500)\"}')
print(f' LogP {logp:.2f} {\"✓\" if logp<=5 else \"✗ VIOLATION (>5)\"}')
print(f' HBD {hbd} {\"✓\" if hbd<=5 else \"✗ VIOLATION (>5)\"}')
print(f' HBA {hba} {\"✓\" if hba<=10 else \"✗ VIOLATION (>10)\"}')
viol = sum([mw>500, logp>5, hbd>5, hba>10])
print(f' Violations: {viol}/4 {\"→ Likely orally bioavailable\" if viol<=1 else \"→ Poor oral bioavailability predicted\"}')
print()
print('=== Veber Oral Bioavailability Rules ===')
print(f' TPSA {tpsa:.1f} Ų {\"✓\" if tpsa<=140 else \"✗ VIOLATION (>140)\"}')
print(f' Rot. bonds {rot} {\"✓\" if rot<=10 else \"✗ VIOLATION (>10)\"}')
print(f' Both rules met: {\"Yes → good oral absorption predicted\" if tpsa<=140 and rot<=10 else \"No → reduced oral absorption\"}')
"
```
### 3 — Drug Interaction & Safety Lookup (OpenFDA)
```bash
DRUG="$1"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$DRUG")
curl -s "https://api.fda.gov/drug/label.json?search=drug_interactions:\"${ENCODED}\"&limit=3" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
results=data.get('results',[])
if not results:
print('No interaction data found in FDA labels.')
sys.exit()
for r in results[:2]:
brand=r.get('openfda',{}).get('brand_name',['Unknown'])[0]
generic=r.get('openfda',{}).get('generic_name',['Unknown'])[0]
interactions=r.get('drug_interactions',['N/A'])[0]
print(f'--- {brand} ({generic}) ---')
print(interactions[:800])
print()
"
```
```bash
DRUG="$1"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$DRUG")
curl -s "https://api.fda.gov/drug/event.json?search=patient.drug.medicinalproduct:\"${ENCODED}\"&count=patient.reaction.reactionmeddrapt.exact&limit=10" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
results=data.get('results',[])
if not results:
print('No adverse event data found.')
sys.exit()
print(f'Top adverse events reported:')
for r in results[:10]:
print(f\" {r['count']:>5}x {r['term']}\")
"
```
### 4 — PubChem Compound Search
```bash
COMPOUND="$1"
ENCODED=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$COMPOUND")
CID=$(curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/cids/TXT" | head -1 | tr -d '[:space:]')
echo "PubChem CID: $CID"
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/${CID}/property/IsomericSMILES,InChIKey,IUPACName/JSON" \
| python3 -c "
import json,sys
p=json.load(sys.stdin)['PropertyTable']['Properties'][0]
print(f\"IUPAC Name : {p.get('IUPACName','N/A')}\")
print(f\"SMILES : {p.get('IsomericSMILES','N/A')}\")
print(f\"InChIKey : {p.get('InChIKey','N/A')}\")
"
```
### 5 — Target & Disease Literature (OpenTargets)
```bash
GENE="$1"
curl -s -X POST "https://api.platform.opentargets.org/api/v4/graphql" \
-H "Content-Type: application/json" \
-d "{\"query\":\"{ search(queryString: \\\"${GENE}\\\", entityNames: [\\\"target\\\"], page: {index: 0, size: 1}) { hits { id score object { ... on Target { id approvedSymbol approvedName associatedDiseases(page: {index: 0, size: 5}) { count rows { score disease { id name } } } } } } } }\"}" \
| python3 -c "
import json,sys
data=json.load(sys.stdin)
hits=data.get('data',{}).get('search',{}).get('hits',[])
if not hits:
print('Target not found.')
sys.exit()
obj=hits[0]['object']
print(f\"Target: {obj.get('approvedSymbol')} — {obj.get('approvedName')}\")
assoc=obj.get('associatedDiseases',{})
print(f\"Associated with {assoc.get('count',0)} diseases. Top associations:\")
for row in assoc.get('rows',[]):
print(f\" Score {row['score']:.3f} | {row['disease']['name']}\")
"
```
## Reasoning Guidelines
When analysing drug-likeness or molecular properties, always:
1. **State raw values first** — MW, LogP, HBD, HBA, TPSA, RotBonds
2. **Apply rule sets** — Ro5 (Lipinski), Veber, Ghose filter where relevant
3. **Flag liabilities** — metabolic hotspots, hERG risk, high TPSA for CNS penetration
4. **Suggest optimizations** — bioisosteric replacements, prodrug strategies, ring truncation
5. **Cite the source API** — ChEMBL, PubChem, OpenFDA, or OpenTargets
For ADMET questions, reason through Absorption, Distribution, Metabolism, Excretion, Toxicity systematically. See references/ADMET_REFERENCE.md for detailed guidance.
## Important Notes
- All APIs are free, public, require no authentication
- ChEMBL rate limits: add sleep 1 between batch requests
- FDA data reflects reported adverse events, not necessarily causation
- Always recommend consulting a licensed pharmacist or physician for clinical decisions
## Quick Reference
| Task | API | Endpoint |
|------|-----|----------|
| Find target | ChEMBL | `/api/data/target/search?q=` |
| Get bioactivity | ChEMBL | `/api/data/activity?target_chembl_id=` |
| Molecule properties | PubChem | `/rest/pug/compound/name/{name}/property/` |
| Drug interactions | OpenFDA | `/drug/label.json?search=drug_interactions:` |
| Adverse events | OpenFDA | `/drug/event.json?search=...&count=reaction` |
| Gene-disease | OpenTargets | GraphQL POST `/api/v4/graphql` |
@@ -0,0 +1,66 @@
# ADMET Reference Guide
Comprehensive reference for Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) analysis in drug discovery.
## Drug-Likeness Rule Sets
### Lipinski's Rule of Five (Ro5)
| Property | Threshold |
|----------|-----------|
| Molecular Weight (MW) | ≤ 500 Da |
| Lipophilicity (LogP) | ≤ 5 |
| H-Bond Donors (HBD) | ≤ 5 |
| H-Bond Acceptors (HBA) | ≤ 10 |
Reference: Lipinski et al., Adv. Drug Deliv. Rev. 23, 325 (1997).
### Veber's Oral Bioavailability Rules
| Property | Threshold |
|----------|-----------|
| TPSA | ≤ 140 Ų |
| Rotatable Bonds | ≤ 10 |
Reference: Veber et al., J. Med. Chem. 45, 26152623 (2002).
### CNS Penetration (BBB)
| Property | CNS-Optimal |
|----------|-------------|
| MW | ≤ 400 Da |
| LogP | 13 |
| TPSA | < 90 Ų |
| HBD | ≤ 3 |
## CYP450 Metabolism
| Isoform | % Drugs | Notable inhibitors |
|---------|---------|-------------------|
| CYP3A4 | ~50% | Grapefruit, ketoconazole |
| CYP2D6 | ~25% | Fluoxetine, paroxetine |
| CYP2C9 | ~15% | Fluconazole, amiodarone |
| CYP2C19 | ~10% | Omeprazole, fluoxetine |
| CYP1A2 | ~5% | Fluvoxamine, ciprofloxacin |
## hERG Cardiac Toxicity Risk
Structural alerts: basic nitrogen (pKa 79) + aromatic ring + hydrophobic moiety, LogP > 3.5 + basic amine.
Mitigation: reduce basicity, introduce polar groups, break planarity.
## Common Bioisosteric Replacements
| Original | Bioisostere | Purpose |
|----------|-------------|---------|
| -COOH | -tetrazole, -SO₂NH₂ | Improve permeability |
| -OH (phenol) | -F, -CN | Reduce glucuronidation |
| Phenyl | Pyridine, thiophene | Reduce LogP |
| Ester | -CONHR | Reduce hydrolysis |
## Key APIs
- ChEMBL: https://www.ebi.ac.uk/chembl/api/data/
- PubChem: https://pubchem.ncbi.nlm.nih.gov/rest/pug/
- OpenFDA: https://api.fda.gov/drug/
- OpenTargets GraphQL: https://api.platform.opentargets.org/api/v4/graphql
@@ -0,0 +1,53 @@
#!/usr/bin/env python3
"""
chembl_target.py Search ChEMBL for a target and retrieve top active compounds.
Usage: python3 chembl_target.py "EGFR" --min-pchembl 7 --limit 20
No external dependencies.
"""
import sys, json, time, argparse
import urllib.request, urllib.parse, urllib.error
BASE = "https://www.ebi.ac.uk/chembl/api/data"
def get(endpoint):
try:
req = urllib.request.Request(f"{BASE}{endpoint}", headers={"Accept":"application/json"})
with urllib.request.urlopen(req, timeout=15) as r:
return json.loads(r.read())
except Exception as e:
print(f"API error: {e}", file=sys.stderr); return None
def main():
parser = argparse.ArgumentParser(description="ChEMBL target → active compounds")
parser.add_argument("target")
parser.add_argument("--min-pchembl", type=float, default=6.0)
parser.add_argument("--limit", type=int, default=10)
args = parser.parse_args()
enc = urllib.parse.quote(args.target)
data = get(f"/target/search?q={enc}&limit=5&format=json")
if not data or not data.get("targets"):
print("No targets found."); sys.exit(1)
t = data["targets"][0]
tid = t.get("target_chembl_id","")
print(f"\nTarget: {t.get('pref_name')} ({tid})")
print(f"Type: {t.get('target_type')} | Organism: {t.get('organism','N/A')}")
print(f"\nFetching compounds with pChEMBL ≥ {args.min_pchembl}...\n")
acts = get(f"/activity?target_chembl_id={tid}&pchembl_value__gte={args.min_pchembl}&assay_type=B&limit={args.limit}&order_by=-pchembl_value&format=json")
if not acts or not acts.get("activities"):
print("No activities found."); sys.exit(0)
print(f"{'Molecule':<18} {'pChEMBL':>8} {'Type':<12} {'Value':<10} {'Units'}")
print("-"*65)
seen = set()
for a in acts["activities"]:
mid = a.get("molecule_chembl_id","N/A")
if mid in seen: continue
seen.add(mid)
print(f"{mid:<18} {str(a.get('pchembl_value','N/A')):>8} {str(a.get('standard_type','N/A')):<12} {str(a.get('standard_value','N/A')):<10} {a.get('standard_units','N/A')}")
time.sleep(0.1)
print(f"\nTotal: {len(seen)} unique molecules")
if __name__ == "__main__": main()
@@ -0,0 +1,44 @@
#!/usr/bin/env python3
"""
ro5_screen.py Batch Lipinski Ro5 + Veber screening via PubChem API.
Usage: python3 ro5_screen.py aspirin ibuprofen paracetamol
No external dependencies beyond stdlib.
"""
import sys, json, time, argparse
import urllib.request, urllib.parse, urllib.error
BASE = "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name"
PROPS = "MolecularWeight,XLogP,HBondDonorCount,HBondAcceptorCount,RotatableBondCount,TPSA"
def fetch(name):
url = f"{BASE}/{urllib.parse.quote(name)}/property/{PROPS}/JSON"
try:
with urllib.request.urlopen(url, timeout=10) as r:
return json.loads(r.read())["PropertyTable"]["Properties"][0]
except Exception:
return None
def check(p):
mw,logp,hbd,hba,rot,tpsa = float(p.get("MolecularWeight",0)),float(p.get("XLogP",0)),int(p.get("HBondDonorCount",0)),int(p.get("HBondAcceptorCount",0)),int(p.get("RotatableBondCount",0)),float(p.get("TPSA",0))
v = sum([mw>500,logp>5,hbd>5,hba>10])
return dict(mw=mw,logp=logp,hbd=hbd,hba=hba,rot=rot,tpsa=tpsa,violations=v,ro5=v<=1,veber=tpsa<=140 and rot<=10,ok=v<=1 and tpsa<=140 and rot<=10)
def report(name, r):
if not r: print(f"{name:30s} — not found"); return
s = "✓ PASS" if r["ok"] else "✗ FAIL"
flags = (f" [Ro5 violations:{r['violations']}]" if not r["ro5"] else "") + (" [Veber fail]" if not r["veber"] else "")
print(f"{s} {name:28s} MW={r['mw']:.0f} LogP={r['logp']:.2f} HBD={r['hbd']} HBA={r['hba']} TPSA={r['tpsa']:.0f} RotB={r['rot']}{flags}")
def main():
compounds = sys.stdin.read().splitlines() if len(sys.argv)<2 or sys.argv[1]=="-" else sys.argv[1:]
print(f"\n{'Status':<8} {'Compound':<30} Properties\n" + "-"*85)
passed = 0
for name in compounds:
props = fetch(name.strip())
result = check(props) if props else None
report(name.strip(), result)
if result and result["ok"]: passed += 1
time.sleep(0.3)
print(f"\nSummary: {passed}/{len(compounds)} passed Ro5 + Veber.\n")
if __name__ == "__main__": main()

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