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Teknium b0b9ef0c86 ci: split Tests workflow into 4 parallel shards via pytest-split
Reduces CI wall time by running the test suite as 4 parallel matrix
jobs instead of a single job. Each shard runs ~3,000 tests in
parallel, so total wall time drops from ~4min to ~60-90s.

Changes:
- Add pytest-split to dev extras (deterministic test splitting,
  composes with pytest-xdist's -n auto inside each shard).
- Matrix-split tests.yml 'test' job into 4 groups. Each shard runs
  'pytest ... --splits 4 --group N' and parallelizes inside with
  the -n auto already in pyproject.toml's addopts.
- fail-fast: false so all shards finish even if one fails
  (consistent with current behavior when there's no matrix).

Expected CI timing:
  Before: 243s single-job (4m03s)
  After:  ~60-90s per shard in parallel + ~25s install overhead
          \u2192 total CI ~90-115s

No test-file changes. Deterministic hash-based distribution (no
.test_durations file yet; can add one later for better balance).

The e2e job is unchanged — it's already small (20s) and runs
separately.
2026-04-17 04:21:02 -07:00
Teknium 2367c6ffd5 test: remove 169 change-detector tests across 21 files (#11472)
First pass of test-suite reduction to address flaky CI and bloat.

Removed tests that fall into these change-detector patterns:

1. Source-grep tests (tests/gateway/test_feishu.py, test_email.py): tests
   that call inspect.getsource() on production modules and grep for string
   literals. Break on any refactor/rename even when behavior is correct.

2. Platform enum tautologies (every gateway/test_X.py): assertions like
   `Platform.X.value == 'x'` duplicated across ~9 adapter test files.

3. Toolset/PLATFORM_HINTS/setup-wizard registry-presence checks: tests that
   only verify a key exists in a dict. Data-layout tests, not behavior.

4. Argparse wiring tests (test_argparse_flag_propagation, test_subparser_routing
   _fallback): tests that do parser.parse_args([...]) then assert args.field.
   Tests Python's argparse, not our code.

5. Pure dispatch tests (test_plugins_cmd.TestPluginsCommandDispatch): patch
   cmd_X, call plugins_command with matching action, assert mock called.
   Tests the if/elif chain, not behavior.

6. Kwarg-to-mock verification (test_auxiliary_client ~45 tests,
   test_web_tools_config, test_gemini_cloudcode, test_retaindb_plugin): tests
   that mock the external API client, call our function, and assert exact
   kwargs. Break on refactor even when behavior is preserved.

7. Schedule-internal "function-was-called" tests (acp/test_server scheduling
   tests): tests that patch own helper method, then assert it was called.

Kept behavioral tests throughout: error paths (pytest.raises), security
tests (path traversal, SSRF, redaction), message alternation invariants,
provider API format conversion, streaming logic, memory contract, real
config load/merge tests.

Net reduction: 169 tests removed. 38 empty classes cleaned up.

Collected before: 12,522 tests
Collected after:  12,353 tests
2026-04-17 01:05:09 -07:00
Teknium e33cb65a98 fix(insights): hide cache read/write and cost metrics from display (#11477)
The cache-read, cache-write, and total estimated-cost values shown in
/insights (and the per-model Cost column) were unreliable. Hide them from
both terminal and gateway renderings.

The underlying data pipeline is untouched — sessions still store
cache_read_tokens, cache_write_tokens, and estimated_cost_usd; the web
server, /usage command, and status bar are unaffected. Only the
InsightsEngine display layer is trimmed.

Changes:
- format_terminal: drop 'Cache read / Cache write' line, drop 'Est. cost'
  from the Total tokens row, drop per-model 'Cost' column, drop the
  '* Cost N/A for custom/self-hosted' footnote.
- format_gateway: drop cache breakdown from Tokens line, drop 'Est. cost'
  line, drop per-model cost suffix.
- Tests updated to assert these strings are now absent.
2026-04-17 01:02:06 -07:00
Teknium 3f74dafaee fix(nous): respect 'Skip (keep current)' after OAuth login (#11476)
* feat(skills): add 'hermes skills reset' to un-stick bundled skills

When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.

Adds an escape hatch for this case.

  hermes skills reset <name>
      Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
      re-baselines against the user's current copy. Future 'hermes update'
      runs accept upstream changes again. Non-destructive.

  hermes skills reset <name> --restore
      Also deletes the user's copy and re-copies the bundled version.
      Use when you want the pristine upstream skill back.

Also available as /skills reset in chat.

- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
  handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
  repro, --restore, unknown-skill error, upstream-removed-skill, and
  no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
  section explaining the origin-hash mechanic + reset usage

* fix(nous): respect 'Skip (keep current)' after OAuth login

When a user already set up on another provider (e.g. OpenRouter) runs
`hermes model` and picks Nous Portal, OAuth succeeds and then a model
picker is shown.  If the user picks 'Skip (keep current)', the previous
provider + model should be preserved.

Previously, \_update_config_for_provider was called unconditionally after
login, which flipped config.yaml model.provider to 'nous' while keeping
the old model.default (e.g. anthropic/claude-opus-4.6 from OpenRouter),
leaving the user with a mismatched provider/model pair on the next
request.

Fix: snapshot the prior active_provider before login, and if no model is
selected (Skip, or no models available, or fetch failure), restore the
prior active_provider and leave config.yaml untouched.  The Nous OAuth
tokens stay saved so future `hermes model` -> Nous works without
re-authenticating.

Test plan:
- New tests cover Skip path (preserves provider+model, saves creds),
  pick-a-model path (switches to nous), and fresh-install Skip path
  (active_provider cleared, not stuck as 'nous').
2026-04-17 00:52:42 -07:00
Teknium 3438d274f6 fix(dingtalk): repair _extract_text for dingtalk-stream >= 0.20 SDK shape
The cherry-picked SDK compat fix (previous commit) wired process() to
parse CallbackMessage.data into a ChatbotMessage, but _extract_text()
was still written against the pre-0.20 payload shape:

  * message.text changed from dict {content: ...} → TextContent object.
    The old code's str(text) fallback produced 'TextContent(content=...)'
    as the agent's input, so every received message came in mangled.
  * rich_text moved from message.rich_text (list) to
    message.rich_text_content.rich_text_list.

This preserves legacy fallbacks (dict-shaped text, bare rich_text list)
while handling the current SDK layout via hasattr(text, 'content').

Adds regression tests covering:
  * webhook domain allowlist (api.*, oapi.*, and hostile lookalikes)
  * _IncomingHandler.process is a coroutine function
  * _extract_text against TextContent object, dict, rich_text_content,
    legacy rich_text, and empty-message cases

Also adds kevinskysunny to scripts/release.py AUTHOR_MAP (release CI
blocks unmapped emails).
2026-04-17 00:52:35 -07:00
Kevin S. Sunny c3d2895b18 fix(dingtalk): support dingtalk-stream 0.24+ and oapi webhooks 2026-04-17 00:52:35 -07:00
Teknium e5cde568b7 feat(skills): add 'hermes skills reset' to un-stick bundled skills (#11468)
When a user edits a bundled skill, sync flags it as user_modified and
skips it forever. The problem: if the user later tries to undo the edit
by copying the current bundled version back into ~/.hermes/skills/, the
manifest still holds the old origin hash from the last successful
sync, so the fresh bundled hash still doesn't match and the skill stays
stuck as user_modified.

Adds an escape hatch for this case.

  hermes skills reset <name>
      Drops the skill's entry from ~/.hermes/skills/.bundled_manifest and
      re-baselines against the user's current copy. Future 'hermes update'
      runs accept upstream changes again. Non-destructive.

  hermes skills reset <name> --restore
      Also deletes the user's copy and re-copies the bundled version.
      Use when you want the pristine upstream skill back.

Also available as /skills reset in chat.

- tools/skills_sync.py: new reset_bundled_skill(name, restore=False)
- hermes_cli/skills_hub.py: do_reset() + wired into skills_command and
  handle_skills_slash; added to the slash /skills help panel
- hermes_cli/main.py: argparse entry for 'hermes skills reset'
- tests/tools/test_skills_sync.py: 5 new tests covering the stuck-flag
  repro, --restore, unknown-skill error, upstream-removed-skill, and
  no-op on already-clean state
- website/docs/user-guide/features/skills.md: new 'Bundled skill updates'
  section explaining the origin-hash mechanic + reset usage
2026-04-17 00:41:31 -07:00
Teknium a55a133387 fix(tests): attach caplog to specific logger in 3 order-dependent tests (#11453)
Three tests in tests/test_plugin_skills.py and tests/hermes_cli/test_plugins.py
used caplog.at_level(logging.WARNING) without specifying a logger. When another
test earlier in the same xdist worker touched propagation on tools.skills_tool
or hermes_cli.plugins, caplog would miss the warning and the assertion would
fail intermittently in CI.

These three tests accounted for 15 of the last ~30 Tests workflow failures
(5 each), including the recent main failure on commit 436a7359 (PR #11398).

Fix: pass logger="tools.skills_tool" / logger="hermes_cli.plugins" to
caplog.at_level() so the handler attaches directly to the logger under test
and capture is independent of global propagation state.

Affected tests:
- tests/test_plugin_skills.py::TestSkillViewPluginGuards::test_injection_logged_but_served
- tests/hermes_cli/test_plugins.py::TestPluginCommands::test_register_command_empty_name_rejected
- tests/hermes_cli/test_plugins.py::TestPluginCommands::test_register_command_builtin_conflict_rejected

No production code change. Verified passing under xdist (-n 4) alongside
test_hermes_logging.py (the test most likely to poison the logger state).
2026-04-17 00:20:40 -07:00
Teknium 816e3e3774 test(feishu): cover new SDK event handler registrations
Extends test_build_event_handler_registers_reaction_and_card_processors
to assert that register_p2_im_chat_access_event_bot_p2p_chat_entered_v1
and register_p2_im_message_recalled_v1 are called when building the
event handler, matching the production registrations.

Also adds Fatty911 to scripts/release.py AUTHOR_MAP for credit on the
salvaged event-handler fix.
2026-04-16 22:08:11 -07:00
Fatty911 94168b7f60 fix: register missing Feishu event handlers for P2P chat entered and message recalled 2026-04-16 22:08:11 -07:00
Teknium 220fa7db90 feat(image_gen): upgrade Recraft V3 → V4 Pro, Nano Banana → Pro (#11406)
* feat(image_gen): upgrade Recraft V3 → V4 Pro, Nano Banana → Pro

Upstream asked for these two upgrades ASAP — the old entries show
stale models when newer, higher-quality versions are available on FAL.

Recraft V3 → Recraft V4 Pro
  ID:    fal-ai/recraft-v3 → fal-ai/recraft/v4/pro/text-to-image
  Price: $0.04/image → $0.25/image (6x — V4 Pro is premium tier)
  Schema: V4 dropped the required `style` enum entirely; defaults
          handle taste now. Added `colors` and `background_color`
          to supports for brand-palette control. `seed` is not
          supported by V4 per the API docs.

Nano Banana → Nano Banana Pro
  ID:    fal-ai/nano-banana → fal-ai/nano-banana-pro
  Price: $0.08/image → $0.15/image (1K); $0.30 at 4K
  Schema: Aspect ratio family unchanged. Added `resolution`
          (1K/2K/4K, default 1K for billing predictability),
          `enable_web_search` (real-time info grounding, +$0.015),
          and `limit_generations` (force exactly 1 image).
  Architecture: Gemini 2.5 Flash → Gemini 3 Pro Image. Quality
                and reasoning depth improved; slower (~6s → ~8s).

Migration: users who had the old IDs in `image_gen.model` will
fall through the existing 'unknown model → default' warning path
in `_resolve_fal_model()` and get the Klein 9B default on the next
run. Re-run `hermes tools` → Image Generation to pick the new
version. No silent cost-upgrade aliasing — the 2-6x price jump
on these tiers warrants explicit user re-selection.

Portal note: both new model IDs need to be allowlisted on the
Nous fal-queue-gateway alongside the previous 7 additions, or
users on Nous Subscription will see the 'managed gateway rejected
model' error we added previously (which is clear and
self-remediating, just noisy).

* docs: wrap '<1s' in backticks to unblock MDX compilation

Docusaurus's MDX parser treats unquoted '<' as the start of JSX, and
'<1s' fails because '1' isn't a valid tag-name start character. This
was broken on main since PR #11265 (never noticed because
docs-site-checks was failing on OTHER issues at the time and we
admin-merged through it).

Wrapping in backticks also gives the cell monospace styling which
reads more cleanly alongside the inline-code model ID in the same row.

The other '<1s' occurrence (line 52) is inside a fenced code block
and is already safe — code fences bypass MDX parsing.
2026-04-16 22:05:41 -07:00
Teknium 70768665a4 fix(mcp): consolidate OAuth handling, pick up external token refreshes (#11383)
* feat(mcp-oauth): scaffold MCPOAuthManager

Central manager for per-server MCP OAuth state. Provides
get_or_build_provider (cached), remove (evicts cache + deletes
disk), invalidate_if_disk_changed (mtime watch, core fix for
external-refresh workflow), and handle_401 (dedup'd recovery).

No behavior change yet — existing call sites still use
build_oauth_auth directly. Task 1 of 8 in the MCP OAuth
consolidation (fixes Cthulhu's BetterStack reliability issues).

* feat(mcp-oauth): add HermesMCPOAuthProvider with pre-flow disk watch

Subclasses the MCP SDK's OAuthClientProvider to inject a disk
mtime check before every async_auth_flow, via the central
manager. When a subclass instance is used, external token
refreshes (cron, another CLI instance) are picked up before
the next API call.

Still dead code: the manager's _build_provider still delegates
to build_oauth_auth and returns the plain OAuthClientProvider.
Task 4 wires this subclass in. Task 2 of 8.

* refactor(mcp-oauth): extract build_oauth_auth helpers

Decomposes build_oauth_auth into _configure_callback_port,
_build_client_metadata, _maybe_preregister_client, and
_parse_base_url. Public API preserved. These helpers let
MCPOAuthManager._build_provider reuse the same logic in Task 4
instead of duplicating the construction dance.

Also updates the SDK version hint in the warning from 1.10.0 to
1.26.0 (which is what we actually require for the OAuth types
used here). Task 3 of 8.

* feat(mcp-oauth): manager now builds HermesMCPOAuthProvider directly

_build_provider constructs the disk-watching subclass using the
helpers from Task 3, instead of delegating to the plain
build_oauth_auth factory. Any consumer using the manager now gets
pre-flow disk-freshness checks automatically.

build_oauth_auth is preserved as the public API for backwards
compatibility. The code path is now:

    MCPOAuthManager.get_or_build_provider  ->
      _build_provider  ->
        _configure_callback_port
        _build_client_metadata
        _maybe_preregister_client
        _parse_base_url
        HermesMCPOAuthProvider(...)

Task 4 of 8.

* feat(mcp): wire OAuth manager + add _reconnect_event

MCPServerTask gains _reconnect_event alongside _shutdown_event.
When set, _run_http / _run_stdio exit their async-with blocks
cleanly (no exception), and the outer run() loop re-enters the
transport to rebuild the MCP session with fresh credentials.
This is the recovery path for OAuth failures that the SDK's
in-place httpx.Auth cannot handle (e.g. cron externally consumed
the refresh_token, or server-side session invalidation).

_run_http now asks MCPOAuthManager for the OAuth provider
instead of calling build_oauth_auth directly. Config-time,
runtime, and reconnect paths all share one provider instance
with pre-flow disk-watch active.

shutdown() defensively sets both events so there is no race
between reconnect and shutdown signalling.

Task 5 of 8.

* feat(mcp): detect auth failures in tool handlers, trigger reconnect

All 5 MCP tool handlers (tool call, list_resources, read_resource,
list_prompts, get_prompt) now detect auth failures and route
through MCPOAuthManager.handle_401:

  1. If the manager says recovery is viable (disk has fresh tokens,
     or SDK can refresh in-place), signal MCPServerTask._reconnect_event
     to tear down and rebuild the MCP session with fresh credentials,
     then retry the tool call once.

  2. If no recovery path exists, return a structured needs_reauth
     JSON error so the model stops hallucinating manual refresh
     attempts (the 'let me curl the token endpoint' loop Cthulhu
     pasted from Discord).

_is_auth_error catches OAuthFlowError, OAuthTokenError,
OAuthNonInteractiveError, and httpx.HTTPStatusError(401). Non-auth
exceptions still surface via the generic error path unchanged.

Task 6 of 8.

* feat(mcp-cli): route add/remove through manager, add 'hermes mcp login'

cmd_mcp_add and cmd_mcp_remove now go through MCPOAuthManager
instead of calling build_oauth_auth / remove_oauth_tokens
directly. This means CLI config-time state and runtime MCP
session state are backed by the same provider cache — removing
a server evicts the live provider, adding a server populates
the same cache the MCP session will read from.

New 'hermes mcp login <name>' command:
  - Wipes both the on-disk tokens file and the in-memory
    MCPOAuthManager cache
  - Triggers a fresh OAuth browser flow via the existing probe
    path
  - Intended target for the needs_reauth error Task 6 returns
    to the model

Task 7 of 8.

* test(mcp-oauth): end-to-end integration tests

Five new tests exercising the full consolidation with real file
I/O and real imports (no transport mocks):

  1. external_refresh_picked_up_without_restart — Cthulhu's cron
     workflow. External process writes fresh tokens to disk;
     on the next auth flow the manager's mtime-watch flips
     _initialized and the SDK re-reads from storage.

  2. handle_401_deduplicates_concurrent_callers — 10 concurrent
     handlers for the same failed token fire exactly ONE recovery
     attempt (thundering-herd protection).

  3. handle_401_returns_false_when_no_provider — defensive path
     for unknown servers.

  4. invalidate_if_disk_changed_handles_missing_file — pre-auth
     state returns False cleanly.

  5. provider_is_reused_across_reconnects — cache stickiness so
     reconnects preserve the disk-watch baseline mtime.

Task 8 of 8 — consolidation complete.
2026-04-16 21:57:10 -07:00
Teknium 436a7359cd feat: add claude-opus-4.7 to Nous Portal curated model list (#11398)
Mirrors OpenRouter which already lists anthropic/claude-opus-4.7 as
recommended. Surfaces the model in the `hermes model` picker and the
gateway /model flow for Nous Portal users.

Context length (1M) is already covered by the existing claude-opus-4.7
entry in agent/model_metadata.py DEFAULT_CONTEXT_LENGTHS.
2026-04-16 21:37:06 -07:00
Teknium 24fa055763 fix(ci): resolve 4 pre-existing main failures (docs lint + 3 stale tests) (#11373)
* docs: fix ascii-guard border alignment errors

Three docs pages had ASCII diagram boxes with off-by-one column
alignment issues that failed docs-site-checks CI:

- architecture.md: outer box is 71 cols but inner-box content lines
  and border corners were offset by 1 col, making content-line right
  border at col 70/72 while top/bottom border was at col 71. Inner
  boxes also had border corners at cols 19/36/53 but content pipes
  at cols 20/37/54. Rewrote the diagram with consistent 71-col width
  throughout, aligned inner boxes at cols 4-19, 22-37, 40-55 with
  2-space gaps and 15-space trailing padding.

- gateway-internals.md: same class of issue — outer box at 51 cols,
  inner content lines varied 52-54 cols. Rewrote with consistent
  51-col width, inner boxes at cols 4-15, 18-29, 32-43. Also
  restructured the bottom-half message flow so it's bare text
  (not half-open box cells) matching the intent of the original.

- agent-loop.md line 112-114: box 2 (API thread) content lines had
  one extra space pushing the right border to col 46 while the top
  and bottom borders of that box sat at col 45. Trimmed one trailing
  space from each of the three content lines.

All 123 docs files now pass `npm run lint:diagrams`:
  ✓ Errors: 0  (warnings: 6, non-fatal)

Pre-existing failures on main — unrelated to any open PR.

* test(setup): accept description kwarg in prompt_choice mock lambdas

setup.py's `_curses_prompt_choice` gained an optional `description`
parameter (used for rendering context hints alongside the prompt).
`prompt_choice` forwards it via keyword arg. The two existing tests
mocked `_curses_prompt_choice` with lambdas that didn't accept the
new kwarg, so the forwarded call raised TypeError.

Fix: add `description=None` to both mock lambda signatures so they
absorb the new kwarg without changing behavior.

* test(matrix): update stale audio-caching assertion

test_regular_audio_has_http_url asserted that non-voice audio
messages keep their HTTP URL and are NOT downloaded/cached. That
was true when the caching code only triggered on
`is_voice_message`. Since bec02f37 (encrypted-media caching
refactor), matrix.py caches all media locally — photos, audio,
video, documents — so downstream tools can read them as real
files via media_urls. This applies to regular audio too.

Renamed the test to `test_regular_audio_is_cached_locally`,
flipped the assertions accordingly, and documented the
intentional behavior change in the docstring. Other tests in
the file (voice-specific caching, message-type detection,
reply-to threading) continue to pass.

* test(413): allow multi-pass preflight compression

run_agent.py's preflight compression runs up to 3 passes in a loop
for very large sessions (each pass summarizes the middle N turns,
then re-checks tokens). The loop breaks when a pass returns a
message list no shorter than its input (can't compress further).

test_preflight_compresses_oversized_history used a static mock
return value that returned the same 2 messages regardless of input,
so the loop ran pass 1 (41 -> 2) and pass 2 (2 -> 2 -> break),
making call_count == 2. The assert_called_once() assertion was
strictly wrong under the multi-pass design.

The invariant the test actually cares about is: preflight ran, and
its first invocation received the full oversized history. Replaced
the count assertion with those two invariants.

* docs: drop '...' from gateway diagram, merge side-by-side boxes

ascii-guard 2.3.0 flagged two remaining issues after the initial fix
pass:

1. gateway-internals.md L33: the '...' suffix after inner box 3's
   right border got parsed as 'extra characters after inner-box right
   border'. Dropped the '...' — the surrounding prose already conveys
   'and more platforms' without needing the visual hint.

2. agent-loop.md: ascii-guard can't cleanly parse two side-by-side
   boxes of different heights (main thread 7 rows, API thread 5 rows).
   Even equalizing heights didn't help — the linter treats the left
   box's right border as the end of the diagram. Merged into a single
   54-char-wide outer box with both threads labeled as regions inside,
   keeping the ▶ arrow to preserve the main→API flow direction.
2026-04-16 20:43:41 -07:00
Teknium fdefd98aa3 docs(skills): make descriptions self-contained, not cross-dependent
Previous pass assumed both skills would always be loaded together, so
each description pointed at the other ('use concept-diagrams instead').
That breaks when only one skill is active — the agent reads 'use the
other skill' and there is no other skill.

Now each skill's description and scope section is fully self-contained:

- States what it's best suited for
- Lists subjects where a more specialized skill (if available) would be
  a better fit, naming them only as 'consider X if available'
- Explicitly offers itself as a general SVG diagram fallback when no
  more specialized skill exists

An agent loading either skill alone gets unambiguous guidance; an
agent with both loaded still gets useful routing via the 'consider X
if available' hints and the related_skills metadata.
2026-04-16 20:39:55 -07:00
Teknium 7d535969ff docs(skills): make architecture-diagram vs concept-diagrams routing explicit
Both skills generate SVG system diagrams, but for very different subjects
and aesthetics. The old descriptions didn't make the split clear, so an
agent loading either one couldn't confidently pick.

Changes:

- Rewrote both frontmatter descriptions to state the scope up front plus
  an explicit 'for X, use the other skill instead' pointer.
- Added a symmetric 'When to use this skill vs <other>' decision table
  to the top of each SKILL.md body, so the guidance is visible whether
  the agent is reading frontmatter or full content.
- Added architecture-diagram <-> concept-diagrams to each other's
  related_skills metadata.

Rule of thumb baked into both skills:
  software/cloud infra -> architecture-diagram
  physical / scientific / educational -> concept-diagrams
2026-04-16 20:39:55 -07:00
Teknium 19c589a20b refactor(concept-diagrams): rename + tighten v1k22's skill for merge
Salvage of PR #11045 (original by v1k22). Changes on top of the
original commit:

- Rename 'architecture-visualization-svg-diagrams' -> 'concept-diagrams'
  to differentiate from the existing architecture-diagram skill.
  architecture-diagram stays as the dark-themed Cocoon-style option for
  software/infra; concept-diagrams covers physics, chemistry, math,
  engineering, physical objects, and educational visuals.
- Trigger description scoped to actual use cases; removed the 'always
  use this skill' language and long phrase-capture list to stop
  colliding with architecture-diagram, excalidraw, generative-widgets,
  manim-video.
- Default output is now a standalone self-contained HTML file (works
  offline, no server). The preview server is opt-in and no longer part
  of the default workflow.
- When the server IS used: bind to 127.0.0.1 instead of 0.0.0.0 (was a
  LAN exposure hazard on shared networks) and let the OS pick a free
  ephemeral port instead of hard-coding 22223 (collision prone).
- Shrink SKILL.md from 1540 to 353 lines by extracting reusable
  material into linked files:
    - templates/template.html (host page with full CSS design system)
    - references/physical-shape-cookbook.md
    - references/infrastructure-patterns.md
    - references/dashboard-patterns.md
  All 15 examples kept intact.
- Add dhandhalyabhavik@gmail.com -> v1k22 to AUTHOR_MAP.

Preserves v1k22's authorship on the underlying commit.
2026-04-16 20:39:55 -07:00
v1k22 9a4766fc18 feat: add architecture-visualization-svg-diagrams skill to creative category
- SKILL.md with full SVG design system (color palette, typography, spacing, dark mode)
- 15 example diagrams covering flowcharts, physical structures, chemistry, charts, floor plans, and more
- Supports 8 diagram types: flowchart, structural, API map, microservice, data flow, physical, infrastructure, UI mockups
- Auto-hosts diagrams on 0.0.0.0:22223 as interactive web pages
2026-04-16 20:39:55 -07:00
Teknium 7af9bf3a54 fix(feishu): queue inbound events when adapter loop not ready (#5499) (#11372)
Inbound Feishu messages arriving during brief windows when the adapter
loop is unavailable (startup/restart transitions, network-flap reconnect)
were silently dropped with a WARNING log. This matches the symptom in
issue #5499 — and users have reported seeing only a subset of their
messages reach the agent.

Fix: queue pending events in a thread-safe list and spawn a single
drainer thread that replays them once the loop becomes ready. Covers
these scenarios:

  * Queue events instead of dropping when loop is None/closed
  * Single drainer handles the full queue (not thread-per-event)
  * Thread-safe with threading.Lock on the queue and schedule flag
  * Handles mid-drain bursts (new events arrive while drainer is working)
  * Handles RuntimeError if loop closes between check and submit
  * Depth cap (1000) prevents unbounded growth during extended outages
  * Drops queue cleanly on disconnect rather than holding forever
  * Safety timeout (120s) prevents infinite retention on broken adapters

Based on the approach proposed in #4789 by milkoor, rewritten for
thread-safety and correctness.

Test plan:
  * 5 new unit tests (TestPendingInboundQueue) — all passing
  * E2E test with real asyncio loop + fake WS thread: 10-event burst
    before loop ready → all 10 delivered in order
  * E2E concurrent burst test: 20 events queued, 20 more arrive during
    drainer dispatch → all 40 delivered, no loss, no duplicates
  * All 111 existing feishu tests pass

Related: #5499, #4789

Co-authored-by: milkoor <milkoor@users.noreply.github.com>
2026-04-16 20:36:59 -07:00
Teknium 01906e99dd feat(image_gen): multi-model FAL support with picker in hermes tools (#11265)
* feat(image_gen): multi-model FAL support with picker in hermes tools

Adds 8 FAL text-to-image models selectable via `hermes tools` →
Image Generation → (FAL.ai | Nous Subscription) → model picker.

Models supported:
- fal-ai/flux-2/klein/9b (new default, <1s, $0.006/MP)
- fal-ai/flux-2-pro (previous default, kept backward-compat upscaling)
- fal-ai/z-image/turbo (Tongyi-MAI, bilingual EN/CN)
- fal-ai/nano-banana (Gemini 2.5 Flash Image)
- fal-ai/gpt-image-1.5 (with quality tier: low/medium/high)
- fal-ai/ideogram/v3 (best typography)
- fal-ai/recraft-v3 (vector, brand styles)
- fal-ai/qwen-image (LLM-based)

Architecture:
- FAL_MODELS catalog declares per-model size family, defaults, supports
  whitelist, and upscale flag. Three size families handled uniformly:
  image_size_preset (flux family), aspect_ratio (nano-banana), and
  gpt_literal (gpt-image-1.5).
- _build_fal_payload() translates unified inputs (prompt + aspect_ratio)
  into model-specific payloads, merges defaults, applies caller overrides,
  wires GPT quality_setting, then filters to the supports whitelist — so
  models never receive rejected keys.
- IMAGEGEN_BACKENDS registry in tools_config prepares for future imagegen
  providers (Replicate, Stability, etc.); each provider entry tags itself
  with imagegen_backend: 'fal' to select the right catalog.
- Upscaler (Clarity) defaults off for new models (preserves <1s value
  prop), on for flux-2-pro (backward-compat). Per-model via FAL_MODELS.

Config:
  image_gen.model           = fal-ai/flux-2/klein/9b  (new)
  image_gen.quality_setting = medium                  (new, GPT only)
  image_gen.use_gateway     = bool                    (existing)

Agent-facing schema unchanged (prompt + aspect_ratio only) — model
choice is a user-level config decision, not an agent-level arg.

Picker uses curses_radiolist (arrow keys, auto numbered-fallback on
non-TTY). Column-aligned: Model / Speed / Strengths / Price.

Docs: image-generation.md rewritten with the model table and picker
walkthrough. tools-reference, tool-gateway, overview updated to drop
the stale "FLUX 2 Pro" wording.

Tests: 42 new in tests/tools/test_image_generation.py covering catalog
integrity, all 3 size families, supports filter, default merging, GPT
quality wiring, model resolution fallback. 8 new in
tests/hermes_cli/test_tools_config.py for picker wiring (registry,
config writes, GPT quality follow-up prompt, corrupt-config repair).

* feat(image_gen): translate managed-gateway 4xx to actionable error

When the Nous Subscription managed FAL proxy rejects a model with 4xx
(likely portal-side allowlist miss or billing gate), surface a clear
message explaining:
  1. The rejected model ID + HTTP status
  2. Two remediation paths: set FAL_KEY for direct access, or
     pick a different model via `hermes tools`

5xx, connection errors, and direct-FAL errors pass through unchanged
(those have different root causes and reasonable native messages).

Motivation: new FAL models added to this release (flux-2-klein-9b,
z-image-turbo, nano-banana, gpt-image-1.5, ideogram-v3, recraft-v3,
qwen-image) are untested against the Nous Portal proxy. If the portal
allowlists model IDs, users on Nous Subscription will hit cryptic
4xx errors without guidance on how to work around it.

Tests: 8 new cases covering status extraction across httpx/fal error
shapes and 4xx-vs-5xx-vs-ConnectionError translation policy.

Docs: brief note in image-generation.md for Nous subscribers.

Operator action (Nous Portal side): verify that fal-queue-gateway
passes through these 7 new FAL model IDs. If the proxy has an
allowlist, add them; otherwise Nous Subscription users will see the
new translated error and fall back to direct FAL.

* feat(image_gen): pin GPT-Image quality to medium (no user choice)

Previously the tools picker asked a follow-up question for GPT-Image
quality tier (low / medium / high) and persisted the answer to
`image_gen.quality_setting`. This created two problems:

1. Nous Portal billing complexity — the 22x cost spread between tiers
   ($0.009 low / $0.20 high) forces the gateway to meter per-tier per
   user, which the portal team can't easily support at launch.
2. User footgun — anyone picking `high` by mistake burns through
   credit ~6x faster than `medium`.

This commit pins quality at medium by baking it into FAL_MODELS
defaults for gpt-image-1.5 and removes all user-facing override paths:

- Removed `_resolve_gpt_quality()` runtime lookup
- Removed `honors_quality_setting` flag on the model entry
- Removed `_configure_gpt_quality_setting()` picker helper
- Removed `_GPT_QUALITY_CHOICES` constant
- Removed the follow-up prompt call in `_configure_imagegen_model()`
- Even if a user manually edits `image_gen.quality_setting` in
  config.yaml, no code path reads it — always sends medium.

Tests:
- Replaced TestGptQualitySetting (6 tests) with TestGptQualityPinnedToMedium
  (5 tests) — proves medium is baked in, config is ignored, flag is
  removed, helper is removed, non-gpt models never get quality.
- Replaced test_picker_with_gpt_image_also_prompts_quality with
  test_picker_with_gpt_image_does_not_prompt_quality — proves only 1
  picker call fires when gpt-image is selected (no quality follow-up).

Docs updated: image-generation.md replaces the quality-tier table
with a short note explaining the pinning decision.

* docs(image_gen): drop stale 'wires GPT quality tier' line from internals section

Caught in a cleanup sweep after pinning quality to medium. The
"How It Works Internally" walkthrough still described the removed
quality-wiring step.
2026-04-16 20:19:53 -07:00
Teknium 0061dca950 fix(installer): make prompt_yes_no bash 3.2 compatible
The helper used ${var,,} (bash 4+ lowercase parameter expansion) and
[[ =~ ]], which fail on macOS default /bin/bash (3.2.57) with:

    bash: ${default,,}: bad substitution

With 'set -e' at the top of the script, that aborts the whole
installer for macOS users who don't have a newer bash on PATH.

Replace the lowercase expansions with POSIX-style case patterns
(`[yY]|[yY][eE][sS]|...`) that behave identically and parse cleanly
on bash 3.2. Verified with a 15-case behavior test on both bash 3.2
and bash 5.2 — all pass.
2026-04-16 20:14:02 -07:00
helix4u 5be8e95604 fix(installer): use line-based tty confirmation prompts 2026-04-16 20:14:02 -07:00
Teknium 8c478983ed fix: enable TCP keepalives to detect dead provider connections (#10324) (#11277)
Re-land of #10933, now guarded by the tests in #11266.

When a provider drops a TCP connection mid-stream, the socket can enter
CLOSE-WAIT and ''epoll_wait'' may never fire — no data or error signal
arrives, so the httpx read timeout never triggers and the agent hangs
indefinitely. The other defenses (''_force_close_tcp_sockets'', stale
stream detector) all ride on the socket layer reporting the dead
connection, which it never does without probes.

Inject ''SO_KEEPALIVE'' + ''TCP_KEEPIDLE''/''KEEPINTVL''/''KEEPCNT''
into the httpx transport. Kernel probes after 30s idle, retries every
10s, gives up after 3 → dead peer detected within ~60s instead of
hanging forever. Platform-aware: ''TCP_KEEPIDLE'' on Linux,
''TCP_KEEPALIVE'' on macOS. Silent no-op on Windows or anywhere
the socket options aren't available.

The original land (#10933) mutated ''client_kwargs'' in place when it
injected the ''httpx.Client''. Since callers pass ''self._client_kwargs''
by reference, the injected client leaked into the instance state. After
the first request, the OpenAI SDK closed its ''http_client'' — including
the injected one. The next ''_create_openai_client'' call re-read the
now-closed ''httpx.Client'' from ''self._client_kwargs'' and every
subsequent chat raised ''APIConnectionError'' with cause ''RuntimeError:
Cannot send a request, as the client has been closed'' (AlexKucera's
Discord report, 2026-04-16).

The defensive ''client_kwargs = dict(client_kwargs)'' copy already on
main (taeuk178's #10978) means this injection only lands in the
per-call local copy. Each ''_create_openai_client'' invocation gets
its OWN fresh ''httpx.Client'' whose lifetime is tied to the paired
''OpenAI'' client. When that ''OpenAI'' client is closed (rebuild,
teardown, credential rotation), its ''httpx.Client'' closes with it
and the next call constructs a fresh one — no stale closed transport
can be reused.

Full 4-test matrix all green (unit + live with real OpenRouter round
trips, HERMES_LIVE_TESTS=1):

    tests/run_agent/test_create_openai_client_kwargs_isolation.py      PASS
    tests/run_agent/test_create_openai_client_reuse.py                 PASS (2)
    tests/run_agent/test_sequential_chats_live.py                      PASS

Socket options verified on the live httpx transport:

    _socket_options: [(1, 9, 1), (6, 4, 30), (6, 5, 10), (6, 6, 3)]
    = (SO_KEEPALIVE=1, TCP_KEEPIDLE=30s, TCP_KEEPINTVL=10s, TCP_KEEPCNT=3)

Sequential-chat reproduction of the #10933 failure was explicitly
run against this patch — the defensive copy on main prevents the
closed transport from leaking back into ''self._client_kwargs'', so
every rebuild constructs a fresh transport.

Closes #10324
2026-04-16 20:04:54 -07:00
Teknium ab33ce1c86 fix(opencode): strip /v1 from base_url on mid-session /model switch to Anthropic-routed models (#11286)
PR #4918 fixed the double-/v1 bug at fresh agent init by stripping the
trailing /v1 from OpenCode base URLs when api_mode is anthropic_messages
(so the Anthropic SDK's own /v1/messages doesn't land on /v1/v1/messages).
The same logic was missing from the /model mid-session switch path.

Repro: start a session on opencode-go with GLM-5 (or any chat_completions
model), then `/model minimax-m2.7`. switch_model() correctly sets
api_mode=anthropic_messages via opencode_model_api_mode(), but base_url
passes through as https://opencode.ai/zen/go/v1. The Anthropic SDK then
POSTs to https://opencode.ai/zen/go/v1/v1/messages, which returns the
OpenCode website 404 HTML page (title 'Not Found | opencode').

Same bug affects `/model claude-sonnet-4-6` on opencode-zen.

Verified upstream: POST /v1/messages returns clean JSON 401 with x-api-key
auth (route works), while POST /v1/v1/messages returns the exact HTML 404
users reported.

Fix mirrors runtime_provider.resolve_runtime_provider:
- hermes_cli/model_switch.py::switch_model() strips /v1 after the OpenCode
  api_mode override when the resolved mode is anthropic_messages.
- run_agent.py::AIAgent.switch_model() applies the same strip as
  defense-in-depth, so any direct caller can't reintroduce the double-/v1.

Tests: 9 new regression tests in tests/hermes_cli/test_model_switch_opencode_anthropic.py
covering minimax on opencode-go, claude on opencode-zen, chat_completions
(GLM/Kimi/Gemini) keeping /v1 intact, codex_responses (GPT) keeping /v1
intact, trailing-slash handling, and the agent-level defense-in-depth.
2026-04-16 19:41:41 -07:00
Teknium 7fd508979e fix: harden sync_back — PID-suffix temp path, size cap, lifecycle guards
Follow-ups on top of kshitijk4poor's cherry-picked salvage of PR #8018:

tools/environments/daytona.py
  - PID-suffix /tmp/.hermes_sync.<pid>.tar so concurrent sync_back calls
    against the same sandbox don't collide on the remote temp path
  - Move sync_back() inside the cleanup lock and after the _sandbox-None
    guard, with its own try/except. Previously a no-op cleanup (sandbox
    already cleared) still fired sync_back → 3-attempt retry storm against
    a nil sandbox (~6s of sleep). Now short-circuits cleanly.

tools/environments/file_sync.py
  - Add _SYNC_BACK_MAX_BYTES (2 GiB) defensive cap: refuse to extract a
    tar larger than the limit. Protects against runaway sandboxes
    producing arbitrary-size archives.
  - Add 'nothing previously pushed' guard at the top of sync_back(). If
    _pushed_hashes and _synced_files are both empty, the FileSyncManager
    was never initialized from the host side — there is nothing coherent
    to sync back. Skips the retry/backoff machinery on uninitialized
    managers and eliminates test-suite slowdown from pre-existing cleanup
    tests that don't mock the sync layer.

tests/tools/test_file_sync_back.py
  - Update _make_manager helper to seed a _pushed_hashes entry by default
    so sync_back() exercises its real path. A seed_pushed_state=False
    opt-out is available for noop-path tests.
  - Add TestSyncBackSizeCap with positive and negative coverage of the
    new cap.

tests/tools/test_sync_back_backends.py
  - Update Daytona bulk download test to assert the PID-suffixed path
    pattern instead of the fixed /tmp/.hermes_sync.tar.
2026-04-16 19:39:21 -07:00
kshitijk4poor d64446e315 feat(file-sync): sync remote changes back to host on teardown
Salvage of PR #8018 by @alt-glitch onto current main.

On sandbox teardown, FileSyncManager now downloads the remote .hermes/
directory, diffs against SHA-256 hashes of what was originally pushed,
and applies only changed files back to the host.

Core (tools/environments/file_sync.py):
- sync_back(): orchestrates download -> unpack -> diff -> apply with:
  - Retry with exponential backoff (3 attempts, 2s/4s/8s)
  - SIGINT trap + defer (prevents partial writes on Ctrl-C)
  - fcntl.flock serialization (concurrent gateway sandboxes)
  - Last-write-wins conflict resolution with warning
  - New remote files pulled back via _infer_host_path prefix matching

Backends:
- SSH: _ssh_bulk_download — tar cf - piped over SSH
- Modal: _modal_bulk_download — exec tar cf - -> proc.stdout.read
- Daytona: _daytona_bulk_download — exec tar cf -> SDK download_file
- All three call sync_back() at the top of cleanup()

Fixes applied during salvage (vs original PR #8018):

| # | Issue | Fix |
|---|-------|-----|
| C1 | import fcntl unconditional — crashes Windows | try/except with fallback; _sync_back_locked skips locking when fcntl=None |
| W1 | assert for runtime guard (stripped by -O) | Replaced with proper if/raise RuntimeError |
| W2 | O(n*m) from _get_files_fn() called per file | Cache mapping once at start of _sync_back_impl, pass to resolve/infer |
| W3 | Dead BulkDownloadFn imports in 3 backends | Removed unused imports |
| W4 | Modal hardcodes root/.hermes, no explanation | Added docstring comment explaining Modal always runs as root |
| S1 | SHA-256 computed for new files where pushed_hash=None | Skip hashing when pushed_hash is None (comparison always False) |
| S2 | Daytona /tmp/.hermes_sync.tar never cleaned up | Added rm -f after download (best-effort) |

Tests: 49 passing (17 new: _infer_host_path edge cases, SIGINT
main/worker thread, Windows fcntl=None fallback, Daytona tar cleanup).

Based on #8018 by @alt-glitch.
2026-04-16 19:39:21 -07:00
Teknium 764536b684 chore(release): map mbelleau@Michels-MacBook-Pro.local to @malaiwah
Follow-up for #11272 so release notes attribute the RTP padding fix correctly.
2026-04-16 16:50:15 -07:00
Michel Belleau c1c9ab534c fix(discord): strip RTP padding before DAVE/Opus decode (#11267)
The Discord voice receive path skipped RFC 3550 §5.1 padding handling,
passing padding-contaminated payloads into DAVE E2EE decrypt and Opus
decode. Symptoms in live VC sessions: deaf inbound speech, intermittent
empty STT results, "corrupted stream" decode errors — especially on the
first reply after join.

When the P bit is set in the RTP header, the last payload byte holds the
count of trailing padding bytes (including itself) that must be removed.
Receive pipeline now follows the spec order:

  1. RTP header parse
  2. NaCl transport decrypt (aead_xchacha20_poly1305_rtpsize)
  3. strip encrypted RTP extension data from start
  4. strip RTP padding from end if P bit set  ← was missing
  5. DAVE inner media decrypt
  6. Opus decode

Drops malformed packets where pad_len is 0 or exceeds payload length.

Adds 7 integration tests covering valid padded packets, the X+P combined
case, padding under DAVE passthrough, and three malformed-padding paths.

Closes #11267

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-16 16:50:15 -07:00
helix4u 6ba4bb6b8e fix(models): add glm-5.1 to opencode-go catalogs 2026-04-16 16:49:22 -07:00
Teknium 3524ccfcc4 feat(gemini): add Google Gemini CLI OAuth provider via Cloud Code Assist (free + paid tiers) (#11270)
* feat(gemini): add Google Gemini CLI OAuth provider via Cloud Code Assist

Adds 'google-gemini-cli' as a first-class inference provider with native
OAuth authentication against Google, hitting the Cloud Code Assist backend
(cloudcode-pa.googleapis.com) that powers Google's official gemini-cli.
Supports both the free tier (generous daily quota, personal accounts) and
paid tiers (Standard/Enterprise via GCP projects).

Architecture
============
Three new modules under agent/:

1. google_oauth.py (625 lines) — PKCE Authorization Code flow
   - Google's public gemini-cli desktop OAuth client baked in (env-var overrides supported)
   - Cross-process file lock (fcntl POSIX / msvcrt Windows) with thread-local re-entrancy
   - Packed refresh format 'refresh_token|project_id|managed_project_id' on disk
   - In-flight refresh deduplication — concurrent requests don't double-refresh
   - invalid_grant → wipe credentials, prompt re-login
   - Headless detection (SSH/HERMES_HEADLESS) → paste-mode fallback
   - Refresh 60 s before expiry, atomic write with fsync+replace

2. google_code_assist.py (350 lines) — Code Assist control plane
   - load_code_assist(): POST /v1internal:loadCodeAssist (prod → sandbox fallback)
   - onboard_user(): POST /v1internal:onboardUser with LRO polling up to 60 s
   - retrieve_user_quota(): POST /v1internal:retrieveUserQuota → QuotaBucket list
   - VPC-SC detection (SECURITY_POLICY_VIOLATED → force standard-tier)
   - resolve_project_context(): env → config → discovered → onboarded priority
   - Matches Google's gemini-cli User-Agent / X-Goog-Api-Client / Client-Metadata

3. gemini_cloudcode_adapter.py (640 lines) — OpenAI↔Gemini translation
   - GeminiCloudCodeClient mimics openai.OpenAI interface (.chat.completions.create)
   - Full message translation: system→systemInstruction, tool_calls↔functionCall,
     tool results→functionResponse with sentinel thoughtSignature
   - Tools → tools[].functionDeclarations, tool_choice → toolConfig modes
   - GenerationConfig pass-through (temperature, max_tokens, top_p, stop)
   - Thinking config normalization (thinkingBudget, thinkingLevel, includeThoughts)
   - Request envelope {project, model, user_prompt_id, request}
   - Streaming: SSE (?alt=sse) with thought-part → reasoning stream separation
   - Response unwrapping (Code Assist wraps Gemini response in 'response' field)
   - finishReason mapping to OpenAI convention (STOP→stop, MAX_TOKENS→length, etc.)

Provider registration — all 9 touchpoints
==========================================
- hermes_cli/auth.py: PROVIDER_REGISTRY, aliases, resolver, status fn, dispatch
- hermes_cli/models.py: _PROVIDER_MODELS, CANONICAL_PROVIDERS, aliases
- hermes_cli/providers.py: HermesOverlay, ALIASES
- hermes_cli/config.py: OPTIONAL_ENV_VARS (HERMES_GEMINI_CLIENT_ID/_SECRET/_PROJECT_ID)
- hermes_cli/runtime_provider.py: dispatch branch + pool-entry branch
- hermes_cli/main.py: _model_flow_google_gemini_cli with upfront policy warning
- hermes_cli/auth_commands.py: pool handler, _OAUTH_CAPABLE_PROVIDERS
- hermes_cli/doctor.py: 'Google Gemini OAuth' health check
- run_agent.py: single dispatch branch in _create_openai_client

/gquota slash command
======================
Shows Code Assist quota buckets with 20-char progress bars, per (model, tokenType).
Registered in hermes_cli/commands.py, handler _handle_gquota_command in cli.py.

Attribution
===========
Derived with significant reference to:
- jenslys/opencode-gemini-auth (MIT) — OAuth flow shape, request envelope,
  public client credentials, retry semantics. Attribution preserved in module
  docstrings.
- clawdbot/extensions/google — VPC-SC handling, project discovery pattern.
- PR #10176 (@sliverp) — PKCE module structure.
- PR #10779 (@newarthur) — cross-process file locking pattern.

Supersedes PRs #6745, #10176, #10779 (to be closed on merge with credit).

Upfront policy warning
======================
Google considers using the gemini-cli OAuth client with third-party software
a policy violation. The interactive flow shows a clear warning and requires
explicit 'y' confirmation before OAuth begins. Documented prominently in
website/docs/integrations/providers.md.

Tests
=====
74 new tests in tests/agent/test_gemini_cloudcode.py covering:
- PKCE S256 roundtrip
- Packed refresh format parse/format/roundtrip
- Credential I/O (0600 perms, atomic write, packed on disk)
- Token lifecycle (fresh/expiring/force-refresh/invalid_grant/rotation preservation)
- Project ID env resolution (3 env vars, priority order)
- Headless detection
- VPC-SC detection (JSON-nested + text match)
- loadCodeAssist parsing + VPC-SC → standard-tier fallback
- onboardUser: free-tier allows empty project, paid requires it, LRO polling
- retrieveUserQuota parsing
- resolve_project_context: 3 short-circuit paths + discovery + onboarding
- build_gemini_request: messages → contents, system separation, tool_calls,
  tool_results, tools[], tool_choice (auto/required/specific), generationConfig,
  thinkingConfig normalization
- Code Assist envelope wrap shape
- Response translation: text, functionCall, thought → reasoning,
  unwrapped response, empty candidates, finish_reason mapping
- GeminiCloudCodeClient end-to-end with mocked HTTP
- Provider registration (9 tests: registry, 4 alias forms, no-regression on
  google-gemini alias, models catalog, determine_api_mode, _OAUTH_CAPABLE_PROVIDERS
  preservation, config env vars)
- Auth status dispatch (logged-in + not)
- /gquota command registration
- run_gemini_oauth_login_pure pool-dict shape

All 74 pass. 349 total tests pass across directly-touched areas (existing
test_api_key_providers, test_auth_qwen_provider, test_gemini_provider,
test_cli_init, test_cli_provider_resolution, test_registry all still green).

Coexistence with existing 'gemini' (API-key) provider
=====================================================
The existing gemini API-key provider is completely untouched. Its alias
'google-gemini' still resolves to 'gemini', not 'google-gemini-cli'.
Users can have both configured simultaneously; 'hermes model' shows both
as separate options.

* feat(gemini): ship Google's public gemini-cli OAuth client as default

Pivots from 'scrape-from-local-gemini-cli' (clawdbot pattern) to
'ship-creds-in-source' (opencode-gemini-auth pattern) for zero-setup UX.

These are Google's PUBLIC gemini-cli desktop OAuth credentials, published
openly in Google's own open-source gemini-cli repository. Desktop OAuth
clients are not confidential — PKCE provides the security, not the
client_secret. Shipping them here matches opencode-gemini-auth (MIT) and
Google's own distribution model.

Resolution order is now:
  1. HERMES_GEMINI_CLIENT_ID / _SECRET env vars (power users, custom GCP clients)
  2. Shipped public defaults (common case — works out of the box)
  3. Scrape from locally installed gemini-cli (fallback for forks that
     deliberately wipe the shipped defaults)
  4. Helpful error with install / env-var hints

The credential strings are composed piecewise at import time to keep
reviewer intent explicit (each constant is paired with a comment about
why it's non-confidential) and to bypass naive secret scanners.

UX impact: users no longer need 'npm install -g @google/gemini-cli' as a
prerequisite. Just 'hermes model' -> 'Google Gemini (OAuth)' works out
of the box.

Scrape path is retained as a safety net. Tests cover all four resolution
steps (env / shipped default / scrape fallback / hard failure).

79 new unit tests pass (was 76, +3 for the new resolution behaviors).
2026-04-16 16:49:00 -07:00
Ben 79156ab19c dashboard: show GATEWAY_HEALTH_URL instead of PID for remote gateways
When the dashboard connects to a remote gateway via GATEWAY_HEALTH_URL,
display the URL instead of the remote PID (which is meaningless locally).
Falls back to PID display for local gateways as before.

- Backend: expose gateway_health_url in /api/status response
- Frontend: prefer gateway_health_url over PID in gatewayValue()
- Add truncate + title tooltip for long URLs that overflow the card
- Add min-w-0/overflow-hidden on status cards for proper truncation
- Tests: verify gateway_health_url in remote and no-URL scenarios
2026-04-16 16:48:14 -07:00
helix4u 5d7d574779 fix(gateway): let /queue bypass active-session guard 2026-04-16 16:36:40 -07:00
Teknium 5797728ca6 test: regression guards for the keepalive/transport bug class (#10933) (#11266)
Two new tests in tests/run_agent/ that pin the user-visible invariant
behind AlexKucera's Discord report (2026-04-16): no matter how a future
keepalive / transport fix for #10324 plumbs sockets in, sequential
chats on the same AIAgent instance must all succeed.

test_create_openai_client_reuse.py (no network, runs in CI):
- test_second_create_does_not_wrap_closed_transport_from_first
    back-to-back _create_openai_client calls must not hand the same
    http_client (after an SDK close) to the second construction
- test_replace_primary_openai_client_survives_repeated_rebuilds
    three sequential rebuilds via the real _replace_primary_openai_client
    entrypoint must each install a live client

test_sequential_chats_live.py (opt-in, HERMES_LIVE_TESTS=1):
- test_three_sequential_chats_across_client_rebuild
    real OpenRouter round trips, with an explicit
    _replace_primary_openai_client call between turns 2 and 3.
    Error-sentinel detector treats 'API call failed after 3 retries'
    replies as failures instead of letting them pass the naive
    truthy check (which is how a first draft of this test missed
    the bug it was meant to catch).

Validation:
  clean main (post-revert, defensive copy present)
    -> all 4 tests PASS
  broken #10933 state (keepalive injection, no defensive copy)
    -> all 4 tests FAIL with precise messages pointing at #10933

Companion to taeuk178's test_create_openai_client_kwargs_isolation.py,
which pins the syntactic 'don't mutate input dict' half of the same
contract. Together they catch both the specific mechanism of #10933
and any other reimplementation that breaks the sequential-call
invariant.
2026-04-16 16:36:33 -07:00
Teknium 00ba8b25a9 fix(web): show current language's flag in switcher, not target (#11262)
The language switcher displayed the *other* language's flag (clicking
the Chinese flag switched to Chinese). This is dissonant — a flag reads
as a state indicator first, so seeing the Chinese flag while the UI is
in English feels wrong. Users expect the flag to reflect the current
language, like every other status indicator.

Flips the flag and label ternaries so English shows UK + EN, Chinese
shows CN + 中文. Tooltip text ("Switch to Chinese" / "切换到英文") still
communicates the click action, which is where that belongs.
2026-04-16 16:36:12 -07:00
Teknium 59a5ff9cb2 fix(cli): stop approval panel from clipping approve/deny off-screen (#11260)
* fix(cli): stop approval panel from clipping approve/deny off-screen

The dangerous-command approval panel had an unbounded Window height with
choices at the bottom. When tirith findings produced long descriptions or
the terminal was compact, HSplit clipped the bottom of the widget — which
is exactly where approve/session/always/deny live. Users were asked to
decide on commands without being able to see the choices (and sometimes
the command itself was hidden too).

Fix: reorder the panel so title → command → choices render first, with
description last. Budget vertical rows so the mandatory content (command
and every choice) always fits, and truncate the description to whatever
row budget is left. Handle three edge cases:

  - Long description in a normal terminal: description gets truncated at
    the bottom with a '… (description truncated)' marker. Command and
    all four choices always visible.

  - Compact terminal (≤ ~14 rows): description dropped entirely. Command
    and choices are the only content, no overflow.

  - /view on a giant command: command gets truncated with a marker so
    choices still render. Keeps at least 2 rows of command.

Same row-budgeting pattern applied to the clarify widget, which had the
identical structural bug (long question would push choices off-screen).

Adds regression tests covering all three scenarios.

* fix(cli): add compact chrome mode for approval/clarify panels on short terminals

Live PTY test at 100x14 rows revealed reserved_below=4 was too optimistic
— the spinner/tool-progress line, status bar, input area, separators, and
prompt symbol actually consume ~6 rows below the panel. At 14 rows, the
panel still got 'Deny' clipped off the bottom.

Fix: bump reserved_below to 6 (measured from live PTY output) and add a
compact-chrome mode that drops the blank separators between title/command
and command/choices when the full-chrome panel wouldn't fit. Chrome goes
from 5 rows to 3 rows in tight mode, keeping command + all 4 choices on
screen in terminals as small as ~13 rows.

Same compact-chrome pattern applied to the clarify widget.

Verified live in PTY hermes chat sessions at 100x14 (compact chrome
triggered, all choices visible) and 100x30 (full chrome with blanks, nice
spacing) by asking the agent to run 'rm -rf /tmp/sandbox'.

---------

Co-authored-by: Teknium <teknium@nousresearch.com>
2026-04-16 16:36:07 -07:00
Teknium edefec4e68 fix(checkpoints): isolate shadow git repo from user's global config (#11261)
Users with 'commit.gpgsign = true' in their global git config got a
pinentry popup (or a failed commit) every time the agent took a
background filesystem snapshot — every write_file, patch, or diff
mid-session. With GPG_TTY unset, pinentry-qt/gtk would spawn a GUI
window, constantly interrupting the session.

The shadow repo is internal Hermes infrastructure.  It must not
inherit user-level git settings (signing, hooks, aliases, credential
helpers, etc.) under any circumstance.

Fix is layered:

1. _git_env() sets GIT_CONFIG_GLOBAL=os.devnull,
   GIT_CONFIG_SYSTEM=os.devnull, and GIT_CONFIG_NOSYSTEM=1.  Shadow
   git commands no longer see ~/.gitconfig or /etc/gitconfig at all
   (uses os.devnull for Windows compat).

2. _init_shadow_repo() explicitly writes commit.gpgsign=false and
   tag.gpgSign=false into the shadow's own config, so the repo is
   correct even if inspected or run against directly without the
   env vars, and for older git versions (<2.32) that predate
   GIT_CONFIG_GLOBAL.

3. _take() passes --no-gpg-sign inline on the commit call.  This
   covers existing shadow repos created before this fix — they will
   never re-run _init_shadow_repo (it is gated on HEAD not existing),
   so they would miss layer 2.  Layer 1 still protects them, but the
   inline flag guarantees correctness at the commit call itself.

Existing checkpoints, rollback, list, diff, and restore all continue
to work — history is untouched.  Users who had the bug stop getting
pinentry popups; users who didn't see no observable change.

Tests: 5 new regression tests in TestGpgAndGlobalConfigIsolation,
including a full E2E repro with fake HOME, global gpgsign=true, and
a deliberately broken GPG binary — checkpoint succeeds regardless.
2026-04-16 16:06:49 -07:00
Siddharth Balyan d38b73fa57 fix(matrix): E2EE and migration bugfixes (#10860)
* - make buffered streaming
- fix path naming to expand `~` for agent.
- fix stripping of matrix ID to not remove other mentions / localports.

* fix(matrix): register MembershipEventDispatcher for invite auto-join

The mautrix migration (#7518) broke auto-join because InternalEventType.INVITE
events are only dispatched when MembershipEventDispatcher is registered on the
client. Without it, _on_invite is dead code and the bot silently ignores all
room invites.

Closes #10094
Closes #10725
Refs: PR #10135 (digging-airfare-4u), PR #10732 (fxfitz)

* fix(matrix): preserve _joined_rooms reference for CryptoStateStore

connect() reassigned self._joined_rooms = set(...) after initial sync,
orphaning the reference captured by _CryptoStateStore at init time.
find_shared_rooms() returned [] forever, breaking Megolm session rotation
on membership changes.

Mutate in place with clear() + update() so the CryptoStateStore reference
stays valid.

Refs #8174, PR #8215

* fix(matrix): remove dual ROOM_ENCRYPTED handler to fix dedup race

mautrix auto-registers DecryptionDispatcher when client.crypto is set.
The adapter also registered _on_encrypted_event for the same event type.
_on_encrypted_event had zero awaits and won the race to mark event IDs
in the dedup set, causing _on_room_message to drop successfully decrypted
events from DecryptionDispatcher. The retry loop masked this by re-decrypting
every message ~4 seconds later.

Remove _on_encrypted_event entirely. DecryptionDispatcher handles decryption;
genuinely undecryptable events are logged by mautrix and retried on next
key exchange.

Refs #8174, PR #8215

* fix(matrix): re-verify device keys after share_keys() upload

Matrix homeservers treat ed25519 identity keys as immutable per device.
share_keys() can return 200 but silently ignore new keys if the device
already exists with different identity keys. The bot would proceed with
shared=True while peers encrypt to the old (unreachable) keys.

Now re-queries the server after share_keys() and fails closed if keys
don't match, with an actionable error message.

Refs #8174, PR #8215

* fix(matrix): encrypt outbound attachments in E2EE rooms

_upload_and_send() uploaded raw bytes and used the 'url' key for all
rooms. In E2EE rooms, media must be encrypted client-side with
encrypt_attachment(), the ciphertext uploaded, and the 'file' key
(with key/iv/hashes) used instead of 'url'.

Now detects encrypted rooms via state_store.is_encrypted() and
branches to the encrypted upload path.

Refs: PR #9822 (charles-brooks)

* fix(matrix): add stop_typing to clear typing indicator after response

The adapter set a 30-second typing timeout but never cleared it.
The base class stop_typing() is a no-op, so the typing indicator
lingered for up to 30 seconds after each response.

Closes #6016
Refs: PR #6020 (r266-tech)

* fix(matrix): cache all media types locally, not just photos/voice

should_cache_locally only covered PHOTO, VOICE, and encrypted media.
Unencrypted audio/video/documents in plaintext rooms were passed as MXC
URLs that require authentication the agent doesn't have, resulting
in 401 errors.

Refs #3487, #3806

* fix(matrix): detect stale OTK conflict on startup and fail closed

When crypto state is wiped but the same device ID is reused, the
homeserver may still hold one-time keys signed with the previous
identity key. Identity key re-upload succeeds but OTK uploads fail
with "already exists" and a signature mismatch. Peers cannot
establish new Olm sessions, so all new messages are undecryptable.

Now proactively flushes OTKs via share_keys() during connect() and
catches the "already exists" error with an actionable log message
telling the operator to purge the device from the homeserver or
generate a fresh device ID.

Also documents the crypto store recovery procedure in the Matrix
setup guide.

Refs #8174

* docs(matrix): improve crypto recovery docs per review

- Put easy path (fresh access token) first, manual purge second
- URL-encode user ID in Synapse admin API example
- Note that device deletion may invalidate the access token
- Add "stop Synapse first" caveat for direct SQLite approach
- Mention the fail-closed startup detection behavior
- Add back-reference from upgrade section to OTK warning

* refactor(matrix): cleanup from code review

- Extract _extract_server_ed25519() and _reverify_keys_after_upload()
  to deduplicate the re-verification block (was copy-pasted in two
  places, three copies of ed25519 key extraction total)
- Remove dead code: _pending_megolm, _retry_pending_decryptions,
  _MAX_PENDING_EVENTS, _PENDING_EVENT_TTL — all orphaned after
  removing _on_encrypted_event
- Remove tautological TestMediaCacheGate (tested its own predicate,
  not production code)
- Remove dead TestMatrixMegolmEventHandling and
  TestMatrixRetryPendingDecryptions (tested removed methods)
- Merge duplicate TestMatrixStopTyping into TestMatrixTypingIndicator
- Trim comment to just the "why"
2026-04-17 04:03:02 +05:30
Teknium 387aa9afc9 fix(approval): heartbeat activity during gateway approval wait (#11245)
The blocking gateway approval wait at tools/approval.py called
`entry.event.wait(timeout=...)` which never touched the agent's
activity tracker.  When a user was slow to respond to a /approve prompt
(or the gateway_timeout config was set higher than the default 300s),
the agent thread sat silent long enough for the gateway's inactivity
watchdog (agent.gateway_timeout, default 1800s) to kill it — even
though the agent was doing exactly the right thing and the user was
the one causing the delay.

The fix polls the event in 1s slices and calls touch_activity_if_due
between slices, mirroring the _wait_for_process() pattern in
tools/environments/base.py that covers the subprocess-waiting side of
the same problem.  At the default 10s heartbeat cadence, a 300s
approval wait now pings activity ~30 times, well under the 1800s
idle threshold.

Observed in community user logs: 12 repeated 'Agent idle 1800s,
last_activity=executing tool: terminal' events across April 12-14.
Companion to PR #10501 which covered streaming / concurrent-tool /
Modal-backend gaps but did not touch approval.py.

Test: tests/tools/test_approval_heartbeat.py — verifies (1) heartbeats
fire during the wait, (2) user responses are still near-instant, and
(3) the approval path stays functional when the heartbeat helper
can't be imported.
2026-04-16 14:48:50 -07:00
Teknium f6179c5d5f fix: bump debug share paste TTL from 1 hour to 6 hours (#11240)
Users (Teknium) report missing debug reports before the 1-hour auto-delete
fires. 6 hours gives enough window for async bug-report triage without
leaving sensitive log data on public paste services indefinitely.

Applies to both the CLI (hermes debug share) and gateway (/debug) paths.
2026-04-16 14:34:46 -07:00
Teknium fce6c3cdf6 feat(tts): add Google Gemini TTS provider (#11229)
Adds Google Gemini TTS as the seventh voice provider, with 30 prebuilt
voices (Zephyr, Puck, Kore, Enceladus, Gacrux, etc.) and natural-language
prompt control. Integrates through the existing provider chain:

- tools/tts_tool.py: new _generate_gemini_tts() calls the
  generativelanguage REST endpoint with responseModalities=[AUDIO],
  wraps the returned 24kHz mono 16-bit PCM (L16) in a WAV RIFF header,
  then ffmpeg-converts to MP3 or Opus depending on output extension.
  For .ogg output, libopus is forced explicitly so Telegram voice
  bubbles get Opus (ffmpeg defaults to Vorbis for .ogg).
- hermes_cli/tools_config.py: exposes 'Google Gemini TTS' as a provider
  option in the curses-based 'hermes tools' UI.
- hermes_cli/setup.py: adds gemini to the setup wizard picker, tool
  status display, and API key prompt branch (accepts existing
  GEMINI_API_KEY or GOOGLE_API_KEY, falls back to Edge if neither set).
- tests/tools/test_tts_gemini.py: 15 unit tests covering WAV header
  wrap correctness, env var fallback (GEMINI/GOOGLE), voice/model
  overrides, snake_case vs camelCase inlineData handling, HTTP error
  surfacing, and empty-audio edge cases.
- docs: TTS features page updated to list seven providers with the new
  gemini config block and ffmpeg notes.

Live-tested against api key against gemini-2.5-flash-preview-tts: .wav,
.mp3, and Telegram-compatible .ogg (Opus codec) all produce valid
playable audio.
2026-04-16 14:23:16 -07:00
Teknium 80855f964e fix: stop hermes update from nagging about llm-wiki's wiki.path (#11222)
llm-wiki was the only shipped skill using metadata.hermes.config, which
caused 'hermes update' and 'hermes config migrate' to prompt for a wiki
directory on every run — even for users who have never touched the skill
— because 'enabled' is opt-out (all shipped skills count as enabled unless
explicitly disabled). Declining the prompt didn't persist anything, so
the nag fired again on every update.

Switch llm-wiki to the env var + runtime default pattern that obsidian and
google-workspace already use: WIKI_PATH env var, default $HOME/wiki. No
prompting infrastructure, no config.yaml touch, no nag loop.

Changes:
- skills/research/llm-wiki/SKILL.md: remove metadata.hermes.config,
  document WIKI_PATH env var in the Wiki Location section, update the
  orientation snippet and initialization guidance.
- Docs: replace llm-wiki's wiki.path examples with a generic 'myplugin.path'
  placeholder across configuration.md, features/skills.md, and
  creating-skills.md so users don't try to set skills.config.wiki.path
  expecting llm-wiki to use it.
- skills-catalog.md: mention WIKI_PATH instead of skills.config.wiki.path.

E2E verified: discover_all_skill_config_vars() and get_missing_skill_config_vars()
both return 0 entries after this change, so the prompt branch in migrate_config()
no longer fires.

The metadata.hermes.config feature stays in place for third-party skills
that genuinely need structured config, but built-ins now prefer env vars.
2026-04-16 13:34:16 -07:00
asheriif 6c34bf3d00 fix(gateway): fix matrix read receipts 2026-04-16 13:18:12 -07:00
Teknium 1dd6b5d5fb chore: release v0.10.0 (2026.4.16) (#11209)
Tool Gateway release — paid Nous Portal subscribers get web search, image gen,
TTS, and browser automation through their existing subscription.
2026-04-16 12:53:06 -07:00
Teknium dead2dfd4f docs: add portal subscription links to tool-gateway page (#11208) 2026-04-16 12:48:03 -07:00
Jeffrey Quesnelle 3d8be06bce remove tool gateway from core features in docs 2026-04-16 12:36:49 -07:00
emozilla 10edd288c3 docs: add Nous Tool Gateway documentation
- New page: user-guide/features/tool-gateway.md covering eligibility,
  setup (hermes model, hermes tools, manual config), how use_gateway
  works, precedence, switching back, status checking, self-hosted
  gateway env vars, and FAQ
- Added to sidebar under Features (top-level, before Core category)
- Cross-references from: overview.md, tools.md, browser.md,
  image-generation.md, tts.md, providers.md, environment-variables.md
- Added Nous Tool Gateway subsection to env vars reference with
  TOOL_GATEWAY_DOMAIN, TOOL_GATEWAY_SCHEME, TOOL_GATEWAY_USER_TOKEN,
  and FIRECRAWL_GATEWAY_URL
2026-04-16 12:36:49 -07:00
emozilla f188ac74f0 feat: ungate Tool Gateway — subscription-based access with per-tool opt-in
Replace the HERMES_ENABLE_NOUS_MANAGED_TOOLS env-var feature flag with
subscription-based detection. The Tool Gateway is now available to any
paid Nous subscriber without needing a hidden env var.

Core changes:
- managed_nous_tools_enabled() checks get_nous_auth_status() +
  check_nous_free_tier() instead of an env var
- New use_gateway config flag per tool section (web, tts, browser,
  image_gen) records explicit user opt-in and overrides direct API
  keys at runtime
- New prefers_gateway(section) shared helper in tool_backend_helpers.py
  used by all 4 tool runtimes (web, tts, image gen, browser)

UX flow:
- hermes model: after Nous login/model selection, shows a curses
  prompt listing all gateway-eligible tools with current status.
  User chooses to enable all, enable only unconfigured tools, or skip.
  Defaults to Enable for new users, Skip when direct keys exist.
- hermes tools: provider selection now manages use_gateway flag —
  selecting Nous Subscription sets it, selecting any other provider
  clears it
- hermes status: renamed section to Nous Tool Gateway, added
  free-tier upgrade nudge for logged-in free users
- curses_radiolist: new description parameter for multi-line context
  that survives the screen clear

Runtime behavior:
- Each tool runtime (web_tools, tts_tool, image_generation_tool,
  browser_use) checks prefers_gateway() before falling back to
  direct env-var credentials
- get_nous_subscription_features() respects use_gateway flags,
  suppressing direct credential detection when the user opted in

Removed:
- HERMES_ENABLE_NOUS_MANAGED_TOOLS env var and all references
- apply_nous_provider_defaults() silent TTS auto-set
- get_nous_subscription_explainer_lines() static text
- Override env var warnings (use_gateway handles this properly now)
2026-04-16 12:36:49 -07:00
Teknium 25c7b1baa7 fix: handle httpx.Timeout object in CopilotACPClient (#11058)
run_agent.py passes httpx.Timeout(connect=30, read=120, write=1800,
pool=30) as the timeout kwarg on the streaming path. The OpenAI SDK
handles this natively, but CopilotACPClient._create_chat_completion()
called float(timeout or default), which raises TypeError because
httpx.Timeout doesn't implement __float__.

Normalize the timeout before passing to _run_prompt: plain floats/ints
pass through, httpx.Timeout objects get their largest component
extracted (write=1800s is the correct wall-clock budget for the ACP
subprocess), and None falls back to the 900s default.
2026-04-16 12:05:11 -07:00
Trev 63d06dd93d fix(agent): downgrade xhigh→max on Anthropic pre-4.7 adaptive models
Regression from #11161 (Claude Opus 4.7 migration, commit 0517ac3e).

The Opus 4.7 migration changed `ADAPTIVE_EFFORT_MAP["xhigh"]` from "max"
(the pre-migration alias) to "xhigh" to preserve the new 4.7 effort level
as distinct from max. This is correct for 4.7, but Opus/Sonnet 4.6 only
expose 4 levels (low/medium/high/max) — sending "xhigh" there now 400s:

    BadRequestError [HTTP 400]: This model does not support effort
    level 'xhigh'. Supported levels: high, low, max, medium.

Users who set reasoning_effort=xhigh as their default (xhigh is the
recommended default for coding/agentic on 4.7 per the Anthropic migration
guide) now 400 every request the moment they switch back to a 4.6 model
via `/model` or config. Verified live against the Anthropic API on
`anthropic==0.94.0`.

Fix: make the mapping model-aware. Add `_supports_xhigh_effort()`
predicate (matches 4-7/4.7 substrings, mirroring the existing
`_supports_adaptive_thinking` / `_forbids_sampling_params` pattern).
On pre-4.7 adaptive models, downgrade xhigh→max (the strongest effort
those models accept, restoring pre-migration behavior). On 4.7+, keep
xhigh as a distinct level.

Per Anthropic's migration guide, xhigh is 4.7-only:
https://platform.claude.com/docs/en/about-claude/models/migration-guide
> Opus 4.7 effort levels: max, xhigh (new), high, medium, low.
> Opus 4.6 effort levels: max, high, medium, low.
SDK typing confirms: `anthropic.types.OutputConfigParam.effort: Literal[
"low", "medium", "high", "max"]` (v0.94.0 not yet updated for xhigh).

## Test plan

Verified live on macOS 15.5 / anthropic==0.94.0:

    claude-opus-4-6 + effort=xhigh → output_config.effort=max  → 200 OK
    claude-opus-4-7 + effort=xhigh → output_config.effort=xhigh → 200 OK
    claude-opus-4-6 + effort=max   → output_config.effort=max  → 200 OK
    claude-opus-4-7 + effort=max   → output_config.effort=max  → 200 OK

`tests/agent/test_anthropic_adapter.py` — 120 pass (replaced 1 bugged
test that asserted the broken behavior, added 1 for 4.7 preservation).

Full adapter suite: 120 passed in 1.05s.
Broader suite (agent + run_agent + cli/gateway reasoning): 2140 passed
(2 pre-existing failures on clean upstream/main, unrelated).

## Platforms

Tested on macOS 15.5. No platform-specific code paths touched.
2026-04-16 12:00:56 -07:00
kshitijk4poor 37913d9109 chore: add Opus 4.7 PR contributors to AUTHOR_MAP
Add trevthefoolish, ziliangpeng, centripetal-star for the consolidated
Opus 4.7 salvage PR (#11107, #11145, #11152, #11157).
2026-04-16 10:48:20 -07:00
trevthefoolish 0517ac3e93 fix(agent): complete Claude Opus 4.7 API migration
Claude Opus 4.7 introduced several breaking API changes that the current
codebase partially handled but not completely. This patch finishes the
migration per the official migration guide at
https://platform.claude.com/docs/en/about-claude/models/migration-guide

Fixes NousResearch/hermes-agent#11137

Breaking-change coverage:

1. Adaptive thinking + output_config.effort — 4.7 is now recognized by
   _supports_adaptive_thinking() (extends previous 4.6-only gate).

2. Sampling parameter stripping — 4.7 returns 400 for any non-default
   temperature / top_p / top_k. build_anthropic_kwargs drops them as a
   safety net; the OpenAI-protocol auxiliary path (_build_call_kwargs)
   and AnthropicCompletionsAdapter.create() both early-exit before
   setting temperature for 4.7+ models. This keeps flush_memories and
   structured-JSON aux paths that hardcode temperature from 400ing
   when the aux model is flipped to 4.7.

3. thinking.display = "summarized" — 4.7 defaults display to "omitted",
   which silently hides reasoning text from Hermes's CLI activity feed
   during long tool runs. Restoring "summarized" preserves 4.6 UX.

4. Effort level mapping — xhigh now maps to xhigh (was xhigh→max, which
   silently over-efforted every coding/agentic request). max is now a
   distinct ceiling per Anthropic's 5-level effort model.

5. New stop_reason values — refusal and model_context_window_exceeded
   were silently collapsed to "stop" (end_turn) by the adapter's
   stop_reason_map. Now mapped to "content_filter" and "length"
   respectively, matching upstream finish-reason handling already in
   bedrock_adapter.

6. Model catalogs — claude-opus-4-7 added to the Anthropic provider
   list, anthropic/claude-opus-4.7 added at top of OpenRouter fallback
   catalog (recommended), claude-opus-4-7 added to model_metadata
   DEFAULT_CONTEXT_LENGTHS (1M, matching 4.6 per migration guide).

7. Prefill docstrings — run_agent.AIAgent and BatchRunner now document
   that Anthropic Sonnet/Opus 4.6+ reject a trailing assistant-role
   prefill (400).

8. Tests — 4 new tests in test_anthropic_adapter covering display
   default, xhigh preservation, max on 4.7, refusal / context-overflow
   stop_reason mapping, plus the sampling-param predicate. test_model_metadata
   accepts 4.7 at 1M context.

Tested on macOS 15.5 (darwin). 119 tests pass in
tests/agent/test_anthropic_adapter.py, 1320 pass in tests/agent/.
2026-04-16 10:48:20 -07:00
helix4u 1ccd063786 fix(cli): route /yolo toggle through TUI-safe renderer 2026-04-16 09:50:41 -07:00
helix4u a99516afcf docs(nix): clarify SOUL.md location 2026-04-16 09:50:41 -07:00
helix4u 59d3939173 docs(update): remove unsupported --check command 2026-04-16 09:50:41 -07:00
kshitijk4poor fe3e68f572 fix(honcho): strip whitespace from conclusion and delete_id inputs
Models may send whitespace-only strings like {"conclusion": " "} which
pass bool() but create meaningless conclusions. Strip both inputs so
whitespace-only values are treated as empty.

Adds tests for whitespace-only conclusion and delete_id.

Reviewed-by: @erosika
2026-04-16 09:50:10 -07:00
ogzerber 4377d7da0d fix(honcho): improve conclude descriptions and add exactly-one validation
Improve honcho_conclude tool descriptions to explicitly tell the model
not to send both params together. Add runtime validation that rejects
calls with both or neither of conclusion/delete_id. Add schema
regression test and both-params rejection test.

Consolidates #10847 by @ygd58, #10864 by @cola-runner,
#10870 by @vominh1919, and #10952 by @ogzerber.
The anyOf removal itself was already merged; this adds the
runtime validation and tests those PRs contributed.

Co-authored-by: ygd58 <ygd58@users.noreply.github.com>
Co-authored-by: cola-runner <cola-runner@users.noreply.github.com>
Co-authored-by: vominh1919 <vominh1919@users.noreply.github.com>
2026-04-16 09:50:10 -07:00
kshitij 7e3845ac50 chore: add bare noreply email for kshitijk4poor to AUTHOR_MAP (#11120)
The numbered form (82637225+kshitijk4poor@) was already mapped but
the bare form (kshitijk4poor@users.noreply.github.com) used by
cherry-pick commits was missing, causing check-attribution CI to fail.

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
2026-04-16 09:22:04 -07:00
sontianye f19ca50cd9 fix(context_compressor): always keep last user message in tail to prevent active-task loss
Ensure _align_boundary_backward never pushes the last user message
into the compressed region. Without this, compression could delete
the user active task instruction mid-session.

Cherry-picked from #10969 by @sontianye. Fixes #10896.
2026-04-16 07:45:31 -07:00
jackjin1997 f5ac025714 fix(gateway): guard pending_event.channel_prompt against None in recursive _run_agent
Initialize next_channel_prompt before the pending_event check and use
getattr with None default, matching the existing pattern for
next_source/next_message/next_message_id. Prevents AttributeError
when pending_event is None (interrupt path).

Cherry-picked from #10953 by @jackjin1997.
2026-04-16 07:45:27 -07:00
taeuk178 896e7b03e8 fix(run_agent): prevent _create_openai_client from mutating caller kwargs
Shallow-copy client_kwargs at the top of _create_openai_client() to
prevent in-place mutation from leaking back into self._client_kwargs.
Defensive fix that locks the contract for future httpx/transport work.

Cherry-picked from #10978 by @taeuk178.
2026-04-16 07:45:22 -07:00
danieldoderlein 31a72bdbf2 fix: escape command content in Telegram exec approval prompt
Switch from fragile Markdown V1 to HTML parse mode with html.escape()
for exec approval messages. Add fallback to text-based approval when
the formatted send fails.

Cherry-picked from #10999 by @danieldoderlein.
2026-04-16 07:45:18 -07:00
lrawnsley 8c1276c0bf fix: pass resolved args to resolve_vision_provider_client()
resolve_vision_provider_client() was receiving the raw call_llm
parameters instead of the resolved provider/model/key/url from
_resolve_task_provider_model(). This caused config overrides
(auxiliary.vision.provider, etc.) to be silently discarded.

Cherry-picked from #10901 by @lrawnsley.
2026-04-16 07:45:13 -07:00
kshitij 0a9229c8c6 chore: add salvage PR contributors to AUTHOR_MAP (#11076)
Add 11 community contributors whose work was cherry-picked via
salvage PRs during the April 16 triage session. Without these
entries, contributor_audit strict mode fails for release attribution.

Contributors: sontianye, jackjin1997, danieldoderlein, lrawnsley,
taeuk178, ogzerber, cola-runner, ygd58, vominh1919, LeonSGP43,
Lubrsy706

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
2026-04-16 07:44:41 -07:00
Austin Pickett 5de67fa0ce Merge pull request #11061 from NousResearch/feat/vercel-deployment
Feat/vercel deployment
2026-04-16 07:31:52 -07:00
Jorge 5b4773fc20 fix: wire up Ollama Cloud dynamic model discovery in /model TUI picker
provider_model_ids() and list_authenticated_providers() had no case for
"ollama-cloud", so the /model slash command showed 0 models despite
fetch_ollama_cloud_models() being fully implemented. The CLI subcommand
worked because it called fetch_ollama_cloud_models() directly.

- Add ollama-cloud case to provider_model_ids() in models.py
- Populate curated dict for ollama-cloud in list_authenticated_providers()
- Add tests for both code paths
2026-04-16 07:17:45 -07:00
Teknium 45fc0bd83a fix: UnboundLocalError on 'entry' in parallel subagent polling loop (#11050)
The completion-line printing block (idx = entry['task_index'] etc.)
was outside the 'for future in done:' loop but referenced 'entry'
which is only assigned inside that loop. When concurrent.futures.wait()
returns with an empty 'done' set (timeout expired, no futures finished),
the loop body never executes and 'entry' is unbound.

Moved the completion-line printing and spinner-update code inside
the for loop so each completed future gets its own status line,
and empty poll cycles simply loop back without accessing 'entry'.
2026-04-16 06:53:44 -07:00
Teknium f938fe460c chore: add iacker to AUTHOR_MAP 2026-04-16 06:49:57 -07:00
Billard e9b3b8e820 fix(cron): treat empty agent response as error in last_status (fixes #8585)
When a cron job's agent run completes but produces an empty final_response
(e.g. API 404 from invalid model name), the scheduler now marks last_status
as "error" instead of "ok", so the failure is visible in job listings.

Previously, any run that didn't raise an exception was marked "ok" regardless
of whether the agent actually produced output.
2026-04-16 06:49:57 -07:00
Teknium 77bdad5b02 fix(tests): resolve 12 CI failures + 10 errors across 6 root causes (#11040)
Group A (3 tests): 'No LLM provider configured' RuntimeError
- test_user_message_surrogates_sanitized, test_counters_initialized_in_init,
  test_openai_prompt_tokens_unchanged
- Root cause: AIAgent.__init__ now requires base_url alongside api_key to
  skip resolve_provider_client() (which returns None when API keys are
  blanked in CI). Added base_url='http://localhost:1234/v1' to test
  agent construction.

Group B (5 tests): Discord slash command auto-registration
- test_auto_registers_missing_gateway_commands, test_auto_registered_command_*,
  test_register_skill_group_*
- Root cause: xdist workers that loaded a discord mock WITHOUT
  app_commands.Command/Group caused _register_slash_commands() to fail
  silently. Added comprehensive shared discord mock in
  tests/gateway/conftest.py (same pattern as existing telegram mock).

Group C (5 errors): Discord reply mode 'NoneType has no DMChannel'
- All TestReplyToText tests
- Root cause: FakeDMChannel was not a subclass of real discord.DMChannel,
  so isinstance() checks in _handle_message failed when running in full
  suite (real discord installed). Made FakeDMChannel inherit from
  discord.DMChannel when available. Removed fragile monkeypatch approach.

Group D (2 tests): detect_provider_for_model wrong provider
- test_openrouter_slug_match (got 'ai-gateway'), test_bare_name_gets_
  openrouter_slug (got 'copilot')
- Root cause: ai-gateway, copilot, and kilocode are multi-vendor
  aggregators that list other providers' models (OpenRouter-style slugs).
  They were being matched in Step 1 before OpenRouter. Added all three
  to _AGGREGATORS set so they're skipped like nous/openrouter.

Group E (1 test): model_flow_custom StopIteration
- test_model_flow_custom_saves_verified_v1_base_url
- Root cause: 'Display name' prompt was added after the test was written.
  The input iterator had 5 answers but the flow now asks 6 questions.
  Added 6th empty string answer.

Group F (1 test): Telegram proxy env assertion
- test_uses_proxy_env_for_primary_and_fallback_transports
- Root cause: _resolve_proxy_url() now checks TELEGRAM_PROXY first
  (via resolve_proxy_url('TELEGRAM_PROXY')). Test didn't clear this
  env var, allowing potential leakage from other tests in xdist workers.
  Added TELEGRAM_PROXY to the cleanup list.
2026-04-16 06:49:36 -07:00
Teknium 3c42064efc fix: enforce config.yaml as sole CWD source + deprecate .env CWD vars + add hermes memory reset (#11029)
config.yaml terminal.cwd is now the single source of truth for working
directory. MESSAGING_CWD and TERMINAL_CWD in .env are deprecated with a
migration warning.

Changes:

1. config.py: Remove MESSAGING_CWD from OPTIONAL_ENV_VARS (setup wizard
   no longer prompts for it). Add warn_deprecated_cwd_env_vars() that
   prints a migration hint when deprecated env vars are detected.

2. gateway/run.py: Replace all MESSAGING_CWD reads with TERMINAL_CWD
   (which is bridged from config.yaml terminal.cwd). MESSAGING_CWD is
   still accepted as a backward-compat fallback with deprecation warning.
   Config bridge skips cwd placeholder values so they don't clobber
   the resolved TERMINAL_CWD.

3. cli.py: Guard against lazy-import clobbering — when cli.py is
   imported lazily during gateway runtime (via delegate_tool), don't
   let load_cli_config() overwrite an already-resolved TERMINAL_CWD
   with os.getcwd() of the service's working directory. (#10817)

4. hermes_cli/main.py: Add 'hermes memory reset' command with
   --target all/memory/user and --yes flags. Profile-scoped via
   HERMES_HOME.

Migration path for users with .env settings:
  Remove MESSAGING_CWD / TERMINAL_CWD from .env
  Add to config.yaml:
    terminal:
      cwd: /your/project/path

Addresses: #10225, #4672, #10817, #7663
2026-04-16 06:48:33 -07:00
Teknium fe12042e50 fix: remove context pressure warnings entirely (#11039)
The gateway compression notifications were already removed in commit cc63b2d1
(PR #4139), but the agent-level context pressure warnings (85%/95% tiered
alerts via _emit_context_pressure) were still firing on both CLI and gateway.

Removed:
- _emit_context_pressure method and all call sites in run_conversation()
- Class-level dedup state (_context_pressure_last_warned, _CONTEXT_PRESSURE_COOLDOWN)
- Instance attribute _context_pressure_warned_at
- Pressure reset logic in _compress_context
- format_context_pressure and format_context_pressure_gateway from agent/display.py
- Orphaned ANSI constants that only served these functions
- tests/run_agent/test_context_pressure.py (all 361 lines)

Compression itself continues to run silently in the background.
Closes #3784
2026-04-16 06:44:23 -07:00
kshitijk4poor a6142a8e08 fix: follow-up for salvaged PR #10854
- Extract duplicated activity-callback polling into shared
  touch_activity_if_due() helper in tools/environments/base.py
- Use helper from both base.py _wait_for_process and
  code_execution_tool.py local polling loop (DRY)
- Add test assertion that timeout output field contains the
  timeout message and emoji (#10807)
- Add stream_consumer test for tool-boundary fallback scenario
  where continuation is empty but final_text differs from
  visible prefix (#10807)
2026-04-16 06:42:45 -07:00
konsisumer 3e3ec35a5e fix: surface execute_code timeout to user instead of silently dropping (#10807)
When execute_code times out, the result JSON had status="timeout" and an
error field, but the output field was empty.  Many models treat empty
output as "nothing happened" and produce an empty/minimal response.  The
gateway stream consumer then considers the response "already sent" (from
pre-tool streaming) and silently drops it — leaving the user staring at
silence.

Three changes:

1. Include the timeout message in the output field (both local and remote
   paths) so the model always has visible content to relay to the user.

2. Add periodic activity callbacks to the local execution polling loop so
   the gateway's inactivity monitor knows execute_code is alive during
   long runs.

3. Fix stream_consumer._send_fallback_final to not silently drop content
   when the continuation appears empty but the final text differs from
   what was previously streamed (e.g. after a tool boundary reset).
2026-04-16 06:42:45 -07:00
Bartok9 73befa505d fix(cli): handle null/non-dict display config in skin initialization
display: null or display: <non-dict> in config.yaml crashed skin init
with AttributeError. Now falls back to default skin gracefully.

Cherry-picked from #10867 by @Bartok9. Consolidates #10876 by @cola-runner.

Co-authored-by: cola-runner <cola-runner@users.noreply.github.com>
2026-04-16 06:35:31 -07:00
LeonSGP43 465193b7eb fix(gateway): close temporary agents after one-off tasks
Add shared _cleanup_agent_resources() for temporary gateway AIAgent
instances. Apply cleanup to memory flush, background tasks, /btw,
manual /compress, and session-hygiene auto-compression. Prevents
unclosed aiohttp client session leaks.

Cherry-picked from #10899 by @LeonSGP43. Consolidates #10945 by @Lubrsy706.
Fixes #10865.

Co-authored-by: Lubrsy706 <Lubrsy706@users.noreply.github.com>
2026-04-16 06:31:23 -07:00
Teknium dc7d47a6b8 chore: add GenKoKo to AUTHOR_MAP 2026-04-16 06:10:40 -07:00
Mil Wang (from Dev Box) f9714161f0 fix: stop leaking '(No response generated)' placeholder to users and cron targets
When the LLM returns an empty completion, gateway/run.py replaced
final_response with the literal string '(No response generated)'.
This defeated cron/scheduler.py's empty-response skip guard, causing
the placeholder to be delivered to home channels.

Changes:
- gateway/run.py: return empty string instead of placeholder when
  there is no error and no response content
- cron/scheduler.py: defensively strip the placeholder text in case
  any upstream path still produces it

Fixes NousResearch/hermes-agent#9270
2026-04-16 06:10:40 -07:00
Ko 85752791ed fix: resolve UnboundLocalError in post-tool empty response nudge path
When a model returns an empty response after tool calls with no new
tool_calls in the follow-up turn, the code enters the "nudge" recovery
path which referenced `assistant_msg` before it was assigned. This
variable is only set in the tool-calls branch (line 10098), but the
nudge code lives in the no-tool-calls branch (line 10263+).

The fix builds a fresh assistant message dict via `_build_assistant_message()`
instead of reusing the unbound variable, consistent with the exhausted-
retries path at line 10457.
2026-04-16 06:10:40 -07:00
Teknium 9f231dae56 fix: quiet mode (-Q) outputs only raw response text (#11024)
Two issues when running hermes chat -Q -q:
1. The streaming 'Hermes' response box was rendering to stdout because
   stream_delta_callback was wired during _init_agent() before quiet_mode
   was set. This caused the response to appear twice — once in the styled
   box and once as plain text.
2. session_id was printed to stdout, making piped output unusable.

Fix: null out stream_delta_callback and tool_gen_callback after agent init
in the quiet-mode path, and redirect session_id to stderr.

Now 'hermes chat -Q -q "prompt" | cat' produces only the answer text.
session_id is still available on stderr for scripts that need it.

Reported by @nixpiper on X.
2026-04-16 06:07:14 -07:00
Teknium 4b1cf77770 chore: add davetist to AUTHOR_MAP 2026-04-16 05:53:18 -07:00
Teknium fa830a49e0 test: add cancellation handler delivery confirmation tests
5 tests covering the stream_consumer.py cancellation handler fix:
- partial-only (no accumulated) stays False
- best-effort send succeeds → True
- best-effort send fails → stays False (gateway fallback delivers)
- preserves existing True through cancellation
- regression: old code would have promoted partial to final
2026-04-16 05:53:18 -07:00
Teknium 3b5572ded3 fix(stream-consumer): only confirm final delivery on successful best-effort send
The cancellation handler previously promoted any partial send
(already_sent=True) to final_response_sent=True unconditionally.
This meant if intermediate text (e.g. 'Let me search…') was streamed
and the consumer was cancelled before delivering the actual answer,
the gateway's suppression check would still prevent the fallback send.

Now final_response_sent is only set in the cancellation path when:
- The best-effort send of accumulated content actually succeeded, OR
- It was already confirmed before cancellation

Companion fix for PR #11000's run.py changes — closes the
cancellation-path loophole that would otherwise let partial streams
suppress final delivery during queued follow-ups.
2026-04-16 05:53:18 -07:00
Dave Tist 35bbc6851b fix(gateway): honor previewed replies in queued follow-ups 2026-04-16 05:53:18 -07:00
Dave Tist d67e602cc8 fix: only suppress gateway replies after confirmed final stream delivery
(cherry picked from commit 675249085b383fff305cc84b8aeacd6dd20c7b14)
2026-04-16 05:53:18 -07:00
kshitij 512c328815 fix(copilot): eliminate redundant catalog fetch in api_mode resolution (#11008)
copilot_model_api_mode() called normalize_copilot_model_id() which
fetched the GitHub model catalog via HTTP, then the secondary endpoint
check fetched it again because the catalog was never passed through.

Fix: fetch the catalog once at the top of copilot_model_api_mode()
and pass it to normalize_copilot_model_id(). The secondary check
then sees a non-None catalog and skips the redundant fetch.

For a Claude model switch on Copilot this eliminates one 5-second-
timeout HTTP call from the interactive /model path.

Surfaced during review of PR #10533.

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
2026-04-16 05:18:34 -07:00
kshitij 92a78ffeee chore(gateway): replace deprecated asyncio.get_event_loop() with get_running_loop() (#11005)
All 10 call sites in gateway/run.py and gateway/platforms/api_server.py
are inside async functions where a loop is guaranteed to be running.

get_event_loop() is deprecated since Python 3.10 — it can silently
create a new loop when none is running, masking bugs.
get_running_loop() raises RuntimeError instead, which is safer.

Surfaced during review of PRs #10533 and #10647.

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
2026-04-16 05:13:39 -07:00
Teknium 0de6340a73 fix(docs): show sidebar on docs homepage 2026-04-16 04:24:45 -07:00
helix4u bd7e272c1f fix(slack): per-thread sessions for DMs by default
Each top-level Slack DM now gets its own Hermes session, matching the
per-thread behavior channels already have. Previously all top-level DM
messages shared one continuous session because thread_ts was None,
causing context to accumulate across unrelated conversations.

The behavior is controlled by platforms.slack.extra.dm_top_level_threads_as_sessions
in config.yaml (default: true). Set to false to restore legacy behavior.

Based on PR #10789 by helix4u. Changes from original:
- Default flipped to true (was opt-in, now opt-out)
- Removed env var fallback (config.yaml only per project policy)
- Tests updated to cover both default and opt-out paths
2026-04-16 04:22:33 -07:00
LeonSGP43 daef0519e9 fix(google-workspace): normalize authorized user token writes 2026-04-16 04:22:16 -07:00
Teknium f726b9b843 fix(browser): runtime fallback to local Chromium when cloud provider fails
Wraps provider.create_session() in _get_session_info() with try/except
to catch cloud provider runtime failures (timeouts, auth errors, rate
limits, invalid responses). Falls back to _create_local_session() so
browser automation continues working when cloud APIs are down.

Marks fallback sessions with fallback_from_cloud, fallback_reason, and
fallback_provider metadata for observability. If both cloud and local
fail, raises RuntimeError with chained context from both errors.

Closes #10883
Co-authored-by: konsisumer <konsisumer@users.noreply.github.com>
2026-04-16 04:19:34 -07:00
Teknium e0532be8ae fix(docs): add dashboard-plugins to sidebar navigation 2026-04-16 04:16:50 -07:00
Teknium 50d438d125 fix(honcho): drop anyOf schema — breaks Fireworks and other providers
The honcho_conclude tool schema used anyOf with nested required
fields which is unsupported by Fireworks AI, MiniMax, and other
providers that only handle basic JSON Schema. The handler already
validates that conclusion or delete_id is present (line 1018-1020),
so the schema constraint was redundant.

Replace with required: [] and let the handler reject bad calls.
2026-04-16 04:10:36 -07:00
Teknium 131d261a74 docs: add dashboard themes and plugins documentation
- web-dashboard.md: add Themes section covering built-in themes, custom
  theme YAML format (21 color tokens + overlay), and theme API endpoints
- dashboard-plugins.md: full plugin authoring guide covering manifest
  format, plugin SDK reference, backend API routes, custom CSS, loading
  flow, discovery, and tips
2026-04-16 04:10:06 -07:00
Teknium 01214a7f73 feat: dashboard plugin system — extend the web UI with custom tabs
Add a plugin system that lets plugins add new tabs to the dashboard.
Plugins live in ~/.hermes/plugins/<name>/dashboard/ alongside any
existing CLI/gateway plugin code.

Plugin structure:
  plugins/<name>/dashboard/
    manifest.json     # name, label, icon, tab config, entry point
    dist/index.js     # pre-built JS bundle (IIFE, uses SDK globals)
    plugin_api.py     # optional FastAPI router mounted at /api/plugins/<name>/

Backend (hermes_cli/web_server.py):
- Plugin discovery: scans plugins/*/dashboard/manifest.json from user,
  bundled, and project plugin directories
- GET /api/dashboard/plugins — returns discovered plugin manifests
- GET /api/dashboard/plugins/rescan — force re-discovery
- GET /dashboard-plugins/<name>/<path> — serves plugin static assets
  with path traversal protection
- Optional API route mounting: imports plugin_api.py and mounts its
  router under /api/plugins/<name>/
- Plugin API routes bypass session token auth (localhost-only)

Frontend (web/src/plugins/):
- Plugin SDK exposed on window.__HERMES_PLUGIN_SDK__ — provides React,
  hooks, UI components (Card, Badge, Button, etc.), API client,
  fetchJSON, theme/i18n hooks, and utilities
- Plugin registry on window.__HERMES_PLUGINS__.register(name, Component)
- usePlugins() hook: fetches manifests, loads JS/CSS, resolves components
- App.tsx dynamically adds nav items and routes for discovered plugins
- Icon resolution via static map of 20 common Lucide icons (no tree-
  shaking penalty — bundle only +5KB over baseline)

Example plugin (plugins/example-dashboard/):
- Demonstrates SDK usage: Card components, backend API call, SDK reference
- Backend route: GET /api/plugins/example/hello

Tested: plugin discovery, static serving, API routes, path traversal
blocking, unknown plugin 404, bundle size (400KB vs 394KB baseline).
2026-04-16 04:10:06 -07:00
Teknium 23a42635f0 docs: remove nonexistent CAMOFOX_PROFILE_DIR env var references (#10976)
Camofox automatically maps each userId to a persistent Firefox profile
on the server side — no CAMOFOX_PROFILE_DIR env var exists. Our docs
incorrectly told users to configure this on the server.

Removed the fabricated env var from:
- browser docs (:::note block)
- config.py DEFAULT_CONFIG comment
- test docstring
2026-04-16 04:07:11 -07:00
Teknium e07dbde582 Revert "fix: enable TCP keepalives to detect dead provider connections (#10324)"
This reverts commit 64fee35dc0.
2026-04-16 03:59:05 -07:00
Teknium e66b373351 fix: word-wrap spinner, interruptable agent join, and delegate_task interrupt (#10940)
* fix: stop /model from silently rerouting direct providers to OpenRouter (#10300)

detect_provider_for_model() silently remapped models to OpenRouter when
the direct provider's credentials weren't found via env vars. Three bugs:

1. Credential check only looked at env vars from PROVIDER_REGISTRY,
   missing credential pool entries, auth store, and OAuth tokens
2. When env var check failed, silently returned ('openrouter', slug)
   instead of the direct provider the model actually belongs to
3. Users with valid credentials via non-env-var mechanisms (pool,
   OAuth, Claude Code tokens) got silently rerouted

Fix:
- Expand credential check to also query credential pool and auth store
- Always return the direct provider match regardless of credential
  status -- let client init handle missing creds with a clear error
  rather than silently routing through the wrong provider

Same philosophy as the provider-required fix: don't guess, don't
silently reroute, error clearly when something is missing.

Closes #10300

* fix: word-wrap spinner, interruptable agent join, and delegate_task interrupt

Three fixes:

1. Spinner widget clips long tool commands — prompt_toolkit Window had
   height=1 and wrap_lines=False. Now uses wrap_lines=True with dynamic
   height from text length / terminal width. Long commands wrap naturally.

2. agent_thread.join() blocked forever after interrupt — if the agent
   thread took time to clean up, the process_loop thread froze. Now polls
   with 0.2s timeout on the interrupt path, checking _should_exit so
   double Ctrl+C breaks out immediately.

3. Root cause of 5-hour CLI hang: delegate_task() used as_completed()
   with no interrupt check. When subagent children got stuck, the parent
   blocked forever inside the ThreadPoolExecutor. Now polls with
   wait(timeout=0.5) and checks parent_agent._interrupt_requested each
   iteration. Stuck children are reported as interrupted, and the parent
   returns immediately.
2026-04-16 03:50:49 -07:00
Bartok9 f05590796e fix(telegram): increase cold-boot retry budget and cap backoff
Bump connect retry attempts from 3 to 8 and cap exponential backoff at
15 seconds. Old budget: 3 attempts, 1+2+4=7s total — insufficient for
cold boot on slow networks or embedded devices. New budget: 8 attempts,
1+2+4+8+15+15+15=~60s total.

Inspired by PR #5770 by @Bartok9 (re-implemented against current main
since original was 913 commits stale with conflicts).
2026-04-16 03:47:00 -07:00
Markus Corazzione c928ebb1b1 retry transient telegram send failures 2026-04-16 03:47:00 -07:00
Teknium 333cb8251b fix: improve interrupt responsiveness during concurrent tool execution and follow-up turns (#10935)
Three targeted fixes for the 'agent stuck on terminal command' report:

1. **Concurrent tool wait loop now checks interrupts** (run_agent.py)
   The sequential path checked _interrupt_requested before each tool call,
   but the concurrent path's wait loop just blocked with 30s timeouts.
   Now polls every 5s and cancels pending futures on interrupt, giving
   already-running tools 3s to notice the per-thread interrupt signal.

2. **Cancelled concurrent tools get proper interrupt messages** (run_agent.py)
   When a concurrent tool is cancelled or didn't return a result due to
   interrupt, the tool result message says 'skipped due to user interrupt'
   instead of a generic error.

3. **Typing indicator fires before follow-up turn** (gateway/run.py)
   After an interrupt is acknowledged and the pending message dequeued,
   the gateway now sends a typing indicator before starting the recursive
   _run_agent call. This gives the user immediate visual feedback that
   the system is processing their new message (closing the perceived
   'dead air' gap between the interrupt ack and the response).

Reported by @_SushantSays.
2026-04-16 02:44:56 -07:00
Teknium 3f6c4346ac feat: dashboard theme system with live switching
Add a theme engine for the web dashboard that mirrors the CLI skin
engine philosophy — pure data, no code changes needed for new themes.

Frontend:
- ThemeProvider context that loads active theme from backend on mount
  and applies CSS variable overrides to document.documentElement
- ThemeSwitcher dropdown component in the header (next to language
  switcher) with instant preview on click
- 6 built-in themes: Hermes Teal (default), Midnight, Ember, Mono,
  Cyberpunk, Rosé — each defines all 21 color tokens + overlay settings
- Theme types, presets, and context in web/src/themes/

Backend:
- GET /api/dashboard/themes — returns available themes + active name
- PUT /api/dashboard/theme — persists selection to config.yaml
- User custom themes discoverable from ~/.hermes/dashboard-themes/*.yaml
- Theme list endpoint added to public API paths (no auth needed)

Config:
- dashboard.theme key in DEFAULT_CONFIG (default: 'default')
- Schema override for select dropdown in config page
- Category merged into 'display' tab in config UI

i18n: theme switcher strings added for en + zh.
2026-04-16 02:44:32 -07:00
Peter Berthelsen 9a9b8cd1e4 fix: keep rapid telegram follow-ups from getting cut off 2026-04-16 02:44:00 -07:00
Teknium 12b109b664 fix: enable TCP keepalives to detect dead provider connections (#10324) (#10933)
When a custom provider drops a connection mid-stream, the TCP socket
can enter CLOSE-WAIT and the httpx read timeout may never fire —
epoll_wait blocks indefinitely because no data or error signal arrives.
The agent hangs until manually killed.

The existing defenses (httpx read timeout, stale stream detector,
_force_close_tcp_sockets) are all time-based and work correctly once
triggered, but they rely on the socket layer reporting the dead
connection. Without TCP keepalives, the kernel has no reason to probe
a silent connection.

Fix: inject SO_KEEPALIVE + TCP_KEEPIDLE/KEEPINTVL/KEEPCNT into the
httpx transport via socket_options. The kernel probes idle connections
after 30s, retries every 10s, gives up after 3 failures — dead peer
detected within ~60s instead of hanging forever.

Platform-aware: uses TCP_KEEPIDLE on Linux, TCP_KEEPALIVE on macOS.
Falls back silently if socket options aren't available (Windows, etc.).

Closes #10324
2026-04-16 02:32:21 -07:00
Teknium f2f9d0c819 fix: stop /model from silently rerouting direct providers to OpenRouter (#10300) (#10780)
detect_provider_for_model() silently remapped models to OpenRouter when
the direct provider's credentials weren't found via env vars. Three bugs:

1. Credential check only looked at env vars from PROVIDER_REGISTRY,
   missing credential pool entries, auth store, and OAuth tokens
2. When env var check failed, silently returned ('openrouter', slug)
   instead of the direct provider the model actually belongs to
3. Users with valid credentials via non-env-var mechanisms (pool,
   OAuth, Claude Code tokens) got silently rerouted

Fix:
- Expand credential check to also query credential pool and auth store
- Always return the direct provider match regardless of credential
  status -- let client init handle missing creds with a clear error
  rather than silently routing through the wrong provider

Same philosophy as the provider-required fix: don't guess, don't
silently reroute, error clearly when something is missing.

Closes #10300
2026-04-16 02:27:20 -07:00
Teknium e4cd62d07d fix(tests): resolve remaining CI failures — commit_memory_session, already_sent, timezone leak, session env (#10785)
Fixes 12 CI test failures:

1. test_cli_new_session (4): _FakeAgent missing commit_memory_session
   attribute added in the memory provider refactoring. Added MagicMock.

2. test_run_progress_topics (1): already_sent detection only checked
   stream consumer flags, missing the response_previewed path from
   interim_assistant_callback. Restructured guard to check both paths.

3. test_timezone (1): HERMES_TIMEZONE leaked into child processes via
   _SAFE_ENV_PREFIXES matching HERMES_*. The code correctly converts
   it to TZ but didn't remove the original. Added child_env.pop().

4. test_session_env (1): contextvars baseline captured from a different
   context couldn't be restored after clear. Changed assertion to verify
   the test's value was removed rather than comparing to a fragile baseline.

5. test_discord_slash_commands (5): already fixed on current main.
2026-04-16 02:26:14 -07:00
Teknium 0c1217d01e feat(xai): upgrade to Responses API, add TTS provider
Cherry-picked and trimmed from PR #10600 by Jaaneek.

- Switch xAI transport from openai_chat to codex_responses (Responses API)
- Add codex_responses detection for xAI in all runtime_provider resolution paths
- Add xAI api_mode detection in AIAgent.__init__ (provider name + URL auto-detect)
- Add extra_headers passthrough for codex_responses requests
- Add x-grok-conv-id session header for xAI prompt caching
- Add xAI reasoning support (encrypted_content include, no effort param)
- Move x-grok-conv-id from chat_completions path to codex_responses path
- Add xAI TTS provider (dedicated /v1/tts endpoint with Opus conversion)
- Add xAI provider aliases (grok, x-ai, x.ai) across auth, models, providers, auxiliary
- Trim xAI model list to agentic models (grok-4.20-reasoning, grok-4-1-fast-reasoning)
- Add XAI_API_KEY/XAI_BASE_URL to OPTIONAL_ENV_VARS
- Add xAI TTS config section, setup wizard entry, tools_config provider option
- Add shared xai_http.py helper for User-Agent string

Co-authored-by: Jaaneek <Jaaneek@users.noreply.github.com>
2026-04-16 02:24:08 -07:00
Teknium 330ed12fb1 chore: add nosleepcassette to AUTHOR_MAP 2026-04-16 02:22:19 -07:00
nosleepcassette 3c859e35dc fix: skin spinner faces and verbs not applied at runtime
Skins define waiting_faces, thinking_faces, and thinking_verbs in their
spinner config, but all 7 call sites in run_agent.py used hardcoded class
constants. Add three classmethods on KawaiiSpinner that query the active
skin first and fall back to the class constants, matching the existing
pattern used for wings/tool_prefix/tool_emojis.

Co-authored-by: nosleepcassette <nosleepcassette@users.noreply.github.com>
2026-04-16 02:22:19 -07:00
Teknium 5c397876b9 fix(cli): hint about /v1 suffix when configuring local model endpoints
When a user enters a local model server URL (Ollama, vLLM, llama.cpp)
without a /v1 suffix during 'hermes model' custom endpoint setup,
prompt them to add it. Most OpenAI-compatible local servers require
/v1 in the base URL for chat completions to work.
2026-04-16 02:22:09 -07:00
ygd58 8798b069d3 fix(agent): sanitize surrogate characters from API responses and before API calls 2026-04-16 02:22:09 -07:00
Mibayy 3522a7aa13 feat(ollama): pass think=false to custom providers when reasoning_effort is none
When a custom/Ollama provider is used and reasoning_effort is set to 'none'
(or enabled: false), inject 'think': false into the request extra_body.

Ollama does not recognise the OpenRouter-style 'reasoning' extra_body field,
so thinking-capable models (Qwen3, etc.) generate <think> blocks regardless
of the reasoning_effort setting. This produces empty-response errors that
corrupt session state.

The fix adds a provider-specific block in _build_api_kwargs() that sets
think=false in extra_body whenever self.provider == 'custom' and reasoning
is explicitly disabled.

Closes #3191
2026-04-16 02:22:09 -07:00
LeonSGP43 8011aa31ba fix(agent): continue ollama glm truncation replies 2026-04-16 02:22:09 -07:00
kshitijk4poor 1b61ec470b feat: add Ollama Cloud as built-in provider
Add ollama-cloud as a first-class provider with full parity to existing
API-key providers (gemini, zai, minimax, etc.):

- PROVIDER_REGISTRY entry with OLLAMA_API_KEY env var
- Provider aliases: ollama -> custom (local), ollama_cloud -> ollama-cloud
- models.dev integration for accurate context lengths
- URL-to-provider mapping (ollama.com -> ollama-cloud)
- Passthrough model normalization (preserves Ollama model:tag format)
- Default auxiliary model (nemotron-3-nano:30b)
- HermesOverlay in providers.py
- CLI --provider choices, CANONICAL_PROVIDERS entry
- Dynamic model discovery with disk caching (1hr TTL)
- 37 provider-specific tests

Cherry-picked from PR #6038 by kshitijk4poor. Closes #3926
2026-04-16 02:22:09 -07:00
helix4u 8021a735c2 fix(gateway): preserve notify context in executor threads
Gateway executor work now inherits the active session contextvars via
copy_context() so background process watchers retain the correct
platform/chat/user/session metadata for routing completion events back
to the originating chat.

Cherry-picked from #10647 by @helix4u with:
- Use asyncio.get_running_loop() instead of deprecated get_event_loop()
- Strip trailing whitespace
- Add *args forwarding test
- Add exception propagation test
2026-04-16 02:05:59 -07:00
helix4u 4093982f19 fix: recompute Copilot api_mode after model switch
Recomputes GitHub Copilot api_mode from the selected model in the
shared /model switch path.  Before this change, Copilot could carry a
stale codex_responses mode forward from a GPT-5 selection into a later
Claude model switch, causing unsupported_api_for_model errors.

Cherry-picked from #10533 by @helix4u with:
- Comment specificity (Provider-specific → Copilot api_mode override)
- Fix pre-existing duplicate opencode-go in set literal
- Extract test mock helper to reduce duplication
- Add GPT-5 → GPT-5 regression test (keeps codex_responses)
2026-04-16 01:16:14 -07:00
Markus Corazzione 0cf7d570e2 fix(telegram): restore typing indicator and thread routing for forum General topic
In Telegram forum-enabled groups, the General topic does not include
message_thread_id in incoming messages (it is None). This caused:
1. Messages in General losing thread context — replies went to wrong place
2. Typing indicator failing because thread_id=1 was rejected by Telegram

Fix: synthesize thread_id="1" for forum groups when message_thread_id
is None, then handle it correctly per operation:
- send: omit message_thread_id (Telegram rejects thread_id=1 for sends)
- typing: pass thread_id=1, retry without it on "thread not found"

Also centralizes thread_id extraction into _metadata_thread_id() across
all send methods (send, send_voice, send_image, send_document, send_video,
send_animation, send_photo), replacing ~10 duplicate patterns.

Salvaged from PR #7892 by @corazzione.
Closes #7877, closes #7519.
2026-04-15 22:35:19 -07:00
Teknium 3ff18ffe14 fix: add circuit breaker to MCP tool handler to prevent retry burn loops (#10447) (#10776)
When an MCP server returns errors consistently (crashed, disconnected,
auth expired), the model sees each error and retries the tool call.
With no circuit breaker, this burned through all 90 iterations — each
one a full LLM API call plus failed MCP call — producing 15-45 minutes
of zero useful output while the gateway inactivity timeout never fired
(because the agent WAS active, just uselessly).

Fix: track consecutive error counts per MCP server. After 3 consecutive
failures (connection errors, MCP-level errors, or transport exceptions),
the handler short-circuits with a message telling the model to stop
retrying and use alternative approaches. The counter resets to 0 on
any successful call.

Closes #10447
2026-04-15 22:33:48 -07:00
Teknium 36b54afbc4 feat(plugins): add dispatch_tool() to PluginContext (#10763)
Expands the plugin interface so slash command handlers can dispatch tool
calls through the registry with parent agent context wired up automatically.

This is the public API for plugins that need to orchestrate tools like
delegate_task — they call ctx.dispatch_tool() instead of reaching into
framework internals. The parent agent is resolved lazily from _cli_ref
when available (CLI mode) and omitted in gateway mode (tools degrade
gracefully).

Enables the hermes-deliver-plugin pattern where /deliver and /fanout
slash commands spawn subagents via delegate_task without touching the
agent conversation loop.

7 new tests covering: registry delegation, parent_agent injection from
cli_ref, gateway mode (no cli_ref), uninitialized agent, explicit
parent_agent override, kwargs forwarding, return value passthrough.
2026-04-15 22:23:01 -07:00
Teknium 9b7bd4ca61 docs: add missing pages to sidebar navigation (#10758)
* feat: implement register_command() on plugin context

Complete the half-built plugin slash command system. The dispatch
code in cli.py and gateway/run.py already called
get_plugin_command_handler() but the registration side was never
implemented.

Changes:
- Add register_command() to PluginContext — stores handler,
  description, and plugin name; normalizes names; rejects conflicts
  with built-in commands
- Add _plugin_commands dict to PluginManager
- Add commands_registered tracking on LoadedPlugin
- Add get_plugin_command_handler() and get_plugin_commands()
  module-level convenience functions
- Fix commands.py to use actual plugin description in Telegram
  bot menu (was hardcoded 'Plugin command')
- Add plugin commands to SlashCommandCompleter autocomplete
- Show command count in /plugins display
- 12 new tests covering registration, conflict detection,
  normalization, handler dispatch, and introspection

Closes #10495

* docs: add register_command() to plugin guides

- Build a Plugin guide: new 'Register slash commands' section with
  full API reference, comparison table vs register_cli_command(),
  sync/async examples, and conflict protection docs
- Features/Plugins page: add slash commands to capabilities table
  and plugin types summary

* docs: add missing pages to sidebar navigation

- guides/aws-bedrock → Guides & Tutorials
- user-guide/features/credential-pools → Integrations
2026-04-15 22:22:43 -07:00
Teknium 8a246910bf fix: reject startup when no provider configured instead of silent OpenRouter fallback (#10766)
When no provider was set in config.yaml and auto-detection found no
credentials, the agent silently fell back to bare OPENROUTER_API_KEY
from the environment and sent the configured model name to OpenRouter.
This produced undefined behavior -- wrong provider, wrong model routing,
and auxiliary tasks (compression, vision) hitting the wrong endpoint.

Fix: replace the silent fallback with a hard RuntimeError telling
the user to run hermes model or hermes setup. The provider must
be explicitly configured -- env vars are for secrets, not config.
2026-04-15 22:22:07 -07:00
leeyang1990 c5acc6edb6 feat(telegram): add dedicated TELEGRAM_PROXY env var and config.yaml proxy_url support
Pass platform_env_var="TELEGRAM_PROXY" to resolve_proxy_url() in both
telegram.py (main connect) and telegram_network.py (fallback transport),
so a Telegram-specific proxy takes priority over the generic HTTPS_PROXY.

Also bridge telegram.proxy_url from config.yaml to the TELEGRAM_PROXY
env var (env var takes precedence if both are set), add OPTIONAL_ENV_VARS
entry, docs, and tests.

Composite salvage of four community PRs:
- Core approach (both call sites): #9414 by @leeyang1990
- config.yaml bridging + docs: #6530 by @WhiteWorld
- Naming convention: #9074 by @brantzh6
- Earlier proxy work: #7786 by @ten-ltw

Closes #9414, closes #9074, closes #7786, closes #6530

Co-authored-by: WhiteWorld <WhiteWorld@users.noreply.github.com>
Co-authored-by: brantzh6 <brantzh6@users.noreply.github.com>
Co-authored-by: ten-ltw <ten-ltw@users.noreply.github.com>
2026-04-15 22:13:11 -07:00
kshitijk4poor ff5bf0d6c8 fix(tests): resolve CI test failures — pool auto-seeding, stale assertions, mock isolation
Salvaged from PR #10643 by kshitijk4poor, updated for current main.

Root causes fixed:
1. Telegram xdist mock pollution — new tests/gateway/conftest.py with shared
   mock that runs at collection time (prevents ChatType=None caching)
2. VIRTUAL_ENV env var leak — monkeypatch.delenv in _detect_venv_dir tests
3. Copilot base_url missing — add fallback in _resolve_runtime_from_pool_entry
4. Stale vision model assertion — zai now uses glm-5v-turbo
5. Reasoning item id intentionally stripped — assert 'id' not in (store=False)
6. Context length warning unreachable — pass base_url to AIAgent in test
7. Kimi provider label updated — 'Kimi / Kimi Coding Plan' matches models.py
8. Google Workspace calendar tests — rewritten for current production code,
   properly mock subprocess on api_module, removed stale +agenda assertions
9. Credential pool auto-seeding — mock _select_pool_entry / _resolve_auto /
   _import_codex_cli_tokens to prevent real credentials from leaking into tests
2026-04-15 22:05:21 -07:00
Austin Pickett 9f759d1771 fix: match the url as prev 2026-04-15 23:33:03 -04:00
Austin Pickett cedaefce9e Merge pull request #10704 from NousResearch/revert-10686-feat/vercel-deployment
Revert "feat: add vercel deployment, remove old landing page"
2026-04-15 20:30:31 -07:00
Austin Pickett 4683b97d92 Revert "feat: add vercel deployment, remove old landing page (#10686)"
This reverts commit 51d5c76488.
2026-04-15 23:29:41 -04:00
Austin Pickett 51d5c76488 feat: add vercel deployment, remove old landing page (#10686) 2026-04-15 20:12:52 -07:00
Austin Pickett 139b9ae1e3 feat: add vercel deployment, remove old landing page 2026-04-15 23:09:42 -04:00
Teknium fb903b8f08 docs: document register_command() for plugin slash commands (#10671)
* feat: implement register_command() on plugin context

Complete the half-built plugin slash command system. The dispatch
code in cli.py and gateway/run.py already called
get_plugin_command_handler() but the registration side was never
implemented.

Changes:
- Add register_command() to PluginContext — stores handler,
  description, and plugin name; normalizes names; rejects conflicts
  with built-in commands
- Add _plugin_commands dict to PluginManager
- Add commands_registered tracking on LoadedPlugin
- Add get_plugin_command_handler() and get_plugin_commands()
  module-level convenience functions
- Fix commands.py to use actual plugin description in Telegram
  bot menu (was hardcoded 'Plugin command')
- Add plugin commands to SlashCommandCompleter autocomplete
- Show command count in /plugins display
- 12 new tests covering registration, conflict detection,
  normalization, handler dispatch, and introspection

Closes #10495

* docs: add register_command() to plugin guides

- Build a Plugin guide: new 'Register slash commands' section with
  full API reference, comparison table vs register_cli_command(),
  sync/async examples, and conflict protection docs
- Features/Plugins page: add slash commands to capabilities table
  and plugin types summary
2026-04-15 19:55:25 -07:00
Teknium 498b995c13 feat: implement register_command() on plugin context (#10626)
Complete the half-built plugin slash command system. The dispatch
code in cli.py and gateway/run.py already called
get_plugin_command_handler() but the registration side was never
implemented.

Changes:
- Add register_command() to PluginContext — stores handler,
  description, and plugin name; normalizes names; rejects conflicts
  with built-in commands
- Add _plugin_commands dict to PluginManager
- Add commands_registered tracking on LoadedPlugin
- Add get_plugin_command_handler() and get_plugin_commands()
  module-level convenience functions
- Fix commands.py to use actual plugin description in Telegram
  bot menu (was hardcoded 'Plugin command')
- Add plugin commands to SlashCommandCompleter autocomplete
- Show command count in /plugins display
- 12 new tests covering registration, conflict detection,
  normalization, handler dispatch, and introspection

Closes #10495
2026-04-15 19:53:11 -07:00
Teknium df714add9d fix: preserve file permissions on atomic writes (Docker/NAS fix) (#10618)
atomic_yaml_write() and atomic_json_write() used tempfile.mkstemp()
which creates files with 0o600 (owner-only). After os.replace(), the
original file's permissions were destroyed. Combined with _secure_file()
forcing 0o600, this broke Docker/NAS setups where volume-mounted config
files need broader permissions (e.g. 0o666).

Changes:
- atomic_yaml_write/atomic_json_write: capture original permissions
  before write, restore after os.replace()
- _secure_file: skip permission tightening in container environments
  (detected via /.dockerenv, /proc/1/cgroup, or HERMES_SKIP_CHMOD env)
- save_env_value: preserve original .env permissions, remove redundant
  third os.chmod call
- remove_env_value: same permission preservation

On desktop installs, _secure_file() still tightens to 0o600 as before.
In containers, the user's original permissions are respected.

Reported by Cedric Weber (Docker/Portainer on NAS).
2026-04-15 19:52:46 -07:00
Teknium cc6e8941db feat(honcho): context injection overhaul, 5-tool surface, cost safety, session isolation (#10619)
Salvaged from PR #9884 by erosika. Cherry-picked plugin changes onto
current main with minimal core modifications.

Plugin changes (plugins/memory/honcho/):
- New honcho_reasoning tool (5th tool, splits LLM calls from honcho_context)
- Two-layer context injection: base context (summary + representation + card)
  on contextCadence, dialectic supplement on dialecticCadence
- Multi-pass dialectic depth (1-3 passes) with early bail-out on strong signal
- Cold/warm prompt selection based on session state
- dialecticCadence defaults to 3 (was 1) — ~66% fewer Honcho LLM calls
- Session summary injection for conversational continuity
- Bidirectional peer targeting on all 5 tools
- Correctness fixes: peer param fallback, None guard on set_peer_card,
  schema validation, signal_sufficient anchored regex, mid->medium level fix

Core changes (~20 lines across 3 files):
- agent/memory_manager.py: Enhanced sanitize_context() to strip full
  <memory-context> blocks and system notes (prevents leak from saveMessages)
- run_agent.py: gateway_session_key param for stable per-chat Honcho sessions,
  on_turn_start() call before prefetch_all() for cadence tracking,
  sanitize_context() on user messages to strip leaked memory blocks
- gateway/run.py: skip_memory=True on 2 temp agents (prevents orphan sessions),
  gateway_session_key threading to main agent

Tests: 509 passed (3 skipped — honcho SDK not installed locally)
Docs: Updated honcho.md, memory-providers.md, tools-reference.md, SKILL.md

Co-authored-by: erosika <erosika@users.noreply.github.com>
2026-04-15 19:12:19 -07:00
Kovyrin Family Claw 00ff9a26cd Fix Telegram link preview suppression for bot sends 2026-04-15 17:54:43 -07:00
Oleksiy Kovyrin 192ef00bb2 docs(config): document telegram link preview setting 2026-04-15 17:54:43 -07:00
Oleksiy Kovyrin 5221ff9ed1 fix(telegram): tolerate bare adapters in link preview helper 2026-04-15 17:54:43 -07:00
Kovyrin Family Claw aea3499e56 feat(telegram): add config option to disable link previews 2026-04-15 17:54:43 -07:00
root 06d6903d3c fix(telegram): escape Markdown special chars in send_exec_approval
The command preview and description were wrapped in Markdown v1 inline
code (backticks) without escaping, causing Telegram API parse errors
when the command itself contained backticks or asterisks.

Fixes: 'Can't parse entities: can't find end of the entity'
2026-04-15 17:54:36 -07:00
jneeee 4936b19144 fix(cron): guard telegram import in _send_to_platform against ImportError
Wrap the TelegramAdapter import in _send_to_platform() with a try/except
ImportError guard, matching the existing Feishu pattern in the same function.

When python-telegram-bot is not installed, the import no longer crashes the
cron scheduler. Instead, MAX_MESSAGE_LENGTH falls back to a hardcoded 4096.

The _send_telegram() function already had its own ImportError guard for the
telegram package; this fixes the remaining bare import of TelegramAdapter
in the platform-routing function.
2026-04-15 17:54:33 -07:00
Mil Wang (from Dev Box) 63548e4fe1 fix: validate Telegram bot token format during gateway setup (#9843)
The setup wizard accepted any string as a Telegram bot token without
validation. Invalid tokens were only caught at runtime when the gateway
failed to connect, with no clear error message.

Add regex validation for the expected format (<numeric_id>:<hash>) and
loop until a valid token is entered or the user cancels.
2026-04-15 17:54:19 -07:00
Roque 92a23479c0 fix(model-switch): normalize Unicode dashes from Telegram/iOS input
Telegram on iOS auto-converts double hyphens (--) to em dashes (—)
or en dashes (–) via autocorrect. This breaks /model flag parsing
since parse_model_flags() only recognizes literal '--provider' and
'--global'.

When the flag isn't parsed, the entire string (e.g. 'glm-5.1 —provider zai')
gets treated as the model name and fails with 'Model names cannot
contain spaces.'

Fix: normalize Unicode dashes (U+2012-U+2015) to '--' when they
appear before flag keywords (provider, global), before flag extraction.

The existing test suite in test_model_switch_provider_routing.py
already covers all four dash variants — this commit adds the code
that makes them pass.
2026-04-15 17:54:16 -07:00
flobo3 c6398fcaab fix(prompt): list all supported Telegram markdown formatting 2026-04-15 17:54:13 -07:00
helix4u e7c61baaa1 fix: include telegram dependency in termux bundle 2026-04-15 17:54:10 -07:00
cuyua9 5d3a81408d docs: document Telegram ignored threads 2026-04-15 17:54:07 -07:00
Xowiek 21cd3a3fc0 fix(profile): use existing get_active_profile_name() for /profile command
Replace inline Path.home() / '.hermes' / 'profiles' detection in both CLI
and gateway /profile handlers with the existing get_active_profile_name()
from hermes_cli.profiles — which already handles custom-root deployments,
standard profiles, and Docker layouts.

Fixes /profile incorrectly reporting 'default' when HERMES_HOME points to
a custom-root profile path like /opt/data/profiles/coder.

Based on PR #10484 by Xowiek.
2026-04-15 17:52:03 -07:00
Xowiek 77435c4f13 fix(gateway): use profile-aware Hermes paths in runtime hints 2026-04-15 17:52:03 -07:00
Teknium 5ef0fe1665 docs: fix stale hermes login references in hermes-agent skill (#10603)
Follow-up to #10471 — replace remaining 'hermes login --provider'
references with current 'hermes auth' flow.
2026-04-15 17:43:54 -07:00
Teknium c850a40e4e fix: gate Matrix adapter path on media_files presence
Text-only Matrix sends should continue using the lightweight _send_matrix()
HTTP helper (~100ms). Only route through the heavy MatrixAdapter (full sync +
E2EE setup) when media files are present. Adds test verifying text-only
messages don't take the adapter path.
2026-04-15 17:37:43 -07:00
Teknium 276ed5c399 fix(send_message): deliver Matrix media via adapter
Matrix media delivery was silently dropped by send_message because Matrix
wasn't wired into the native adapter-backed media path. Only Telegram,
Discord, and Weixin had native media support.

Adds _send_matrix_via_adapter() which creates a MatrixAdapter instance,
connects, sends text + media via the adapter's native upload methods
(send_document, send_image_file, send_video, send_voice), then disconnects.

Also fixes a stale URL-encoding assertion in test_send_message_missing_platforms
that broke after PR #10151 added quote() to room IDs.

Cherry-picked from PR #10486 by helix4u.
2026-04-15 17:37:43 -07:00
Joshua Santos 55c8098601 docs: update openai-codex setup reference (#10471)
Fixes stale openai-codex onboarding reference in cli-config.yaml.example
2026-04-15 17:37:05 -07:00
Teknium b750c720cd fix: three CLI quality-of-life fixes (#10468, #10230, #10526, #9545) (#10599)
Three independent fixes batched together:

1. hermes auth add crashes on non-interactive stdin (#10468)
   input() for the label prompt was called without checking isatty().
   In scripted/CI environments this raised EOFError. Fix: check
   sys.stdin.isatty() and fall back to the computed default label.

2. Subcommand help prints twice (#10230)
   'hermes dashboard -h' printed help text twice because the
   SystemExit(0) from argparse was caught by the fallback retry
   logic, which re-parsed and printed help again. Fix: re-raise
   SystemExit with code 0 (help/version) immediately.

3. Duplicate entries in /model picker (#10526, #9545)
   - Kimi showed 2x because kimi-coding and kimi-coding-cn both
     mapped to the same models.dev ID. Fix: track seen mdev_ids
     and skip aliases.
   - Providers could show 2-3x from case-variant slugs across the
     four loading paths. Fix: normalize all seen_slugs membership
     checks and insertions to lowercase.

Closes #10468, #10230, #10526, #9545
2026-04-15 17:34:15 -07:00
Teknium a6ad8ace29 chore: add handsdiff to AUTHOR_MAP 2026-04-15 17:26:31 -07:00
handsdiff 933fbd8fea fix: prevent agent hang when backgrounding processes via terminal tool
bash -lic with a PTY enables job control (set -m), which waits for all
background jobs before the shell exits. A command like
`python3 -m http.server &>/dev/null &` hangs forever because the shell
never completes.

Prefix `set +m;` to disable job control while keeping -i for .bashrc
sourcing and PTY for interactive tools.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 17:26:31 -07:00
Greer Guthrie 33ff29dfae fix(gateway): defer background review notifications until after main reply
Background review notifications ("💾 Skill created", "💾 Memory updated")
could race ahead of the main assistant reply in chat, making it look like
the agent stopped after creating a skill.

Gate bg-review notifications behind a threading.Event + pending queue.
Register a release callback on the adapter's _post_delivery_callbacks dict
so base.py's finally block fires it after the main response is delivered.

The queued-message path in _run_agent pops and calls the callback directly
to prevent double-fire.

Co-authored-by: Hermes Agent <hermes@nousresearch.com>
Closes #10541
2026-04-15 17:23:15 -07:00
Teknium 44941f0ed1 fix: activate WeCom callback message deduplication (#10305) (#10588)
WecomCallbackAdapter declared a _seen_messages dict and
MESSAGE_DEDUP_TTL_SECONDS constant but never actually checked
them in _handle_callback(). WeCom retries callback deliveries
on timeout, and each retry with the same MsgId was treated as
a fresh message and queued for processing.

Fix: check _seen_messages before enqueuing. Uses the same TTL-
based pattern as MessageDeduplicator (fixed in #10306) — check
age before returning duplicate, prune on overflow.

Closes #10305
2026-04-15 17:22:58 -07:00
Teknium 4fdcae6c91 fix: use absolute skill_dir for external skills (#10313) (#10587)
_load_skill_payload() reconstructed skill_dir as SKILLS_DIR / relative_path,
which is wrong for external skills from skills.external_dirs — they live
outside SKILLS_DIR entirely. Scripts and linked files failed to load.

Fix: skill_view() now includes the absolute skill_dir in its result dict.
_load_skill_payload() uses that directly when available, falling back to
the SKILLS_DIR-relative reconstruction only for legacy responses.

Closes #10313
2026-04-15 17:22:55 -07:00
shin4 63d045b51a fix: pass HERMES_HOME to execute_code subprocess (#6644)
Add "HERMES_" to _SAFE_ENV_PREFIXES in code_execution_tool.py so HERMES_HOME and other Hermes env vars pass through to execute_code subprocesses. Fixes vision_analyze and other tools that rely on get_hermes_home() failing in Docker environments with non-default HERMES_HOME.

Authored by @shin4.
2026-04-15 17:13:11 -07:00
Teknium e402906d48 fix: five HERMES_HOME profile-isolation leaks (#10570)
* fix: show correct env var name in provider API key error (#9506)

The error message for missing provider API keys dynamically built
the env var name as PROVIDER_API_KEY (e.g. ALIBABA_API_KEY), but
some providers use different names (alibaba uses DASHSCOPE_API_KEY).
Users following the error message set the wrong variable.

Fix: look up the actual env var from PROVIDER_REGISTRY before
building the error. Falls back to the dynamic name if the registry
lookup fails.

Closes #9506

* fix: five HERMES_HOME profile-isolation leaks (#5947)

Bug A: Thread session_title from session_db to memory provider init kwargs
so honcho can derive chat-scoped session keys instead of falling back to
cwd-based naming that merges all gateway users into one session.

Bug B: Replace 14 hardcoded ~/.hermes/skills/ paths across 10 skill files
with HERMES_HOME-aware alternatives (${HERMES_HOME:-$HOME/.hermes} in
shell, os.environ.get('HERMES_HOME', ...) in Python).

Bug C: install.sh now respects HERMES_HOME env var and adds --hermes-home
flag. Previously --dir only set INSTALL_DIR while HERMES_HOME was always
hardcoded to $HOME/.hermes.

Bug D: Remove hardcoded ~/.hermes/honcho.json fallback in resolve_config_path().
Non-default profiles no longer silently inherit the default profile's honcho
config. Falls through to ~/.honcho/config.json (global) instead.

Bug E: Guard _edit_skill, _patch_skill, _delete_skill, _write_file, and
_remove_file against writing to skills found in external_dirs. Skills
outside the local SKILLS_DIR are now read-only from the agent's perspective.

Closes #5947
2026-04-15 17:09:41 -07:00
Teknium c483b4ceca fix: use POSIX ps -A instead of BSD -ax for Docker compat (#9723) (#10569)
procps-ng 4.0.4 in Docker rejects BSD-style 'ps eww -ax' with a
'must set personality' error, causing find_gateway_pids() to return
empty and falsely report the gateway as not running.

Fix: replace 'ps eww -ax' with 'ps -A eww'. -A is the POSIX
equivalent of BSD -ax (select all processes), and the eww modifiers
(show environment + wide output) still work as BSD flags alongside
the POSIX -A flag. This preserves the HERMES_HOME= environment
visibility needed for profile-aware PID matching.

Closes #9723
2026-04-15 17:07:22 -07:00
Teknium 9d9b424390 fix: Nous Portal rate limit guard — prevent retry amplification (#10568)
When Nous returns a 429, the retry amplification chain burns up to 9
API requests per conversation turn (3 SDK retries × 3 Hermes retries),
each counting against RPH and deepening the rate limit. With multiple
concurrent sessions (cron + gateway + auxiliary), this creates a spiral
where retries keep the limit tapped indefinitely.

New module: agent/nous_rate_guard.py
- Shared file-based rate limit state (~/.hermes/rate_limits/nous.json)
- Parses reset time from x-ratelimit-reset-requests-1h, x-ratelimit-
  reset-requests, retry-after headers, or error context
- Falls back to 5-minute default cooldown if no header data
- Atomic writes (tempfile + rename) for cross-process safety
- Auto-cleanup of expired state files

run_agent.py changes:
- Top-of-retry-loop guard: when another session already recorded Nous
  as rate-limited, skip the API call entirely. Try fallback provider
  first, then return a clear message with the reset time.
- On 429 from Nous: record rate limit state and skip further retries
  (sets retry_count = max_retries to trigger fallback path)
- On success from Nous: clear the rate limit state so other sessions
  know they can resume

auxiliary_client.py changes:
- _try_nous() checks rate guard before attempting Nous in the auxiliary
  fallback chain. When rate-limited, returns (None, None) so the chain
  skips to the next provider instead of piling more requests onto Nous.

This eliminates three sources of amplification:
1. Hermes-level retries (saves 6 of 9 calls per turn)
2. Cross-session retries (cron + gateway all skip Nous)
3. Auxiliary fallback to Nous (compression/session_search skip too)

Includes 24 tests covering the rate guard module, header parsing,
state lifecycle, and auxiliary client integration.
2026-04-15 16:31:48 -07:00
Teknium 0d05bd34f8 feat: extend channel_prompts to Telegram, Slack, and Mattermost
Extract resolve_channel_prompt() shared helper into
gateway/platforms/base.py. Refactor Discord to use it.
Wire channel_prompts into Telegram (groups + forum topics),
Slack (channels), and Mattermost (channels).

Config bridging now applies to all platforms (not just Discord).
Added channel_prompts defaults to telegram/slack/mattermost
config sections.

Docs added to all four platform pages with platform-specific
examples (topic inheritance for Telegram, channel IDs for Slack,
etc.).
2026-04-15 16:31:28 -07:00
Teknium 620c296b1d fix: discord mock setup and AUTHOR_MAP for channel_prompts tests
Move _ensure_discord_mock() from module level to _make_adapter() so it
doesn't poison sys.modules for other discord test files. Use
types.ModuleType instead of MagicMock for the mock module to avoid
auto-generated __file__ attribute confusing hasattr checks.

Add BrennerSpear to AUTHOR_MAP.
2026-04-15 16:31:28 -07:00
Brenner Spear 90a6336145 fix: remove redundant key normalization and defensive getattr in channel_prompts
- Remove double str() normalization in _resolve_channel_prompt since
  config bridging already handles numeric YAML key conversion
- Remove dead prompts.get(str(key)) fallback that could never match
  after keys were already normalized to strings
- Replace getattr(event, "channel_prompt", None) with direct attribute
  access since channel_prompt is a declared dataclass field
- Update test to verify normalization responsibility lives in config bridging
2026-04-15 16:31:28 -07:00
Brenner Spear 2fbdc2c8fa feat(discord): add channel_prompts config
Add native Discord channel_prompts support with parent forum fallback,
ephemeral runtime injection, config migration updates, docs, and tests.
2026-04-15 16:31:28 -07:00
Teknium 2918328009 fix: show correct env var name in provider API key error (#9506) (#10563)
The error message for missing provider API keys dynamically built
the env var name as PROVIDER_API_KEY (e.g. ALIBABA_API_KEY), but
some providers use different names (alibaba uses DASHSCOPE_API_KEY).
Users following the error message set the wrong variable.

Fix: look up the actual env var from PROVIDER_REGISTRY before
building the error. Falls back to the dynamic name if the registry
lookup fails.

Closes #9506
2026-04-15 16:31:08 -07:00
JiaDe WU 0cb8c51fa5 feat: native AWS Bedrock provider via Converse API
Salvaged from PR #7920 by JiaDe-Wu — cherry-picked Bedrock-specific
additions onto current main, skipping stale-branch reverts (293 commits
behind).

Dual-path architecture:
  - Claude models → AnthropicBedrock SDK (prompt caching, thinking budgets)
  - Non-Claude models → Converse API via boto3 (Nova, DeepSeek, Llama, Mistral)

Includes:
  - Core adapter (agent/bedrock_adapter.py, 1098 lines)
  - Full provider registration (auth, models, providers, config, runtime, main)
  - IAM credential chain + Bedrock API Key auth modes
  - Dynamic model discovery via ListFoundationModels + ListInferenceProfiles
  - Streaming with delta callbacks, error classification, guardrails
  - hermes doctor + hermes auth integration
  - /usage pricing for 7 Bedrock models
  - 130 automated tests (79 unit + 28 integration + follow-up fixes)
  - Documentation (website/docs/guides/aws-bedrock.md)
  - boto3 optional dependency (pip install hermes-agent[bedrock])

Co-authored-by: JiaDe WU <40445668+JiaDe-Wu@users.noreply.github.com>
2026-04-15 16:17:17 -07:00
Teknium 21afc9502a fix: respect explicit api_mode for custom GPT-5 endpoints (#10473) (#10548)
The GPT-5 auto-upgrade logic unconditionally overrode api_mode to
codex_responses for any model starting with gpt-5, even when the
user explicitly set api_mode=chat_completions. Custom proxies that
serve GPT-5 via /chat/completions became unusable.

Fix: check api_mode is None before the override fires. If the caller
passed any explicit api_mode, it is final -- no auto-upgrade.

Closes #10473
2026-04-15 16:10:56 -07:00
MestreY0d4-Uninter f4724803b4 fix(runtime): surface malformed proxy env and base URL before client init
When proxy env vars (HTTP_PROXY, HTTPS_PROXY, ALL_PROXY) contain
malformed URLs — e.g. 'http://127.0.0.1:6153export' from a broken
shell config — the OpenAI/httpx client throws a cryptic 'Invalid port'
error that doesn't identify the offending variable.

Add _validate_proxy_env_urls() and _validate_base_url() in
auxiliary_client.py, called from resolve_provider_client() and
_create_openai_client() to fail fast with a clear, actionable error
message naming the broken env var or URL.

Closes #6360
Co-authored-by: MestreY0d4-Uninter <MestreY0d4-Uninter@users.noreply.github.com>
2026-04-15 16:10:53 -07:00
Teknium ee9c0a3ed0 fix(security): add JWT token and Discord mention redaction (#10547)
Found via trace data audit: JWT tokens (eyJ...) and Discord snowflake
mentions (<@ID>) were passing through unredacted.

JWT pattern: matches 1/2/3-part tokens starting with eyJ (base64 for '{').
Zero false-positive risk — no normal text matches eyJ + 10+ base64url chars.

Discord pattern: matches <@digits> and <@!digits> with 17-20 digit snowflake
IDs. Syntactically unique to Discord's mention format.

Both patterns follow the same structural-uniqueness standard as existing
prefix patterns (sk-, ghp_, AKIA, etc.).
2026-04-15 16:08:52 -07:00
Teknium 1d4b9c1a74 fix(gateway): don't treat group session user_id as thread_id in shutdown notifications (#10546)
_parse_session_key() blindly assigned parts[5] as thread_id for all
chat types. For group sessions with per-user isolation, parts[5] is
a user_id, not a thread_id. This could cause shutdown notifications
to route with incorrect thread metadata.

Only return thread_id for chat types where the 6th element is
unambiguous: dm and thread. For group/channel sessions, omit
thread_id since the suffix may be a user_id.

Based on the approach from PR #9938 by @Ruzzgar.
2026-04-15 15:09:23 -07:00
Ruzzgar de3f8bc6ce fix terminal workdir validation for Windows paths 2026-04-15 15:06:51 -07:00
Teknium eb3d928da6 chore: add counterposition to AUTHOR_MAP 2026-04-15 15:05:32 -07:00
Harish Kukreja f1df83179f fix(doctor): skip health check for OpenCode Go (no shared /models endpoint)
OpenCode Go does not expose a shared /models endpoint, so the doctor
probe was always failing and producing a false warning. Set the default
URL to None and disable the health check for this provider.
2026-04-15 15:05:32 -07:00
Teknium ddaadfb9f0 chore: add helix4u to AUTHOR_MAP 2026-04-15 15:04:14 -07:00
helix4u 96cc556055 fix(copilot): preserve base URL and gpt-5-mini routing 2026-04-15 15:04:14 -07:00
Teknium 3b4ecf8ee7 fix: remove 'q' alias from /quit so /queue's 'q' alias works (#10467) (#10538)
Both /queue and /quit registered 'q' as an alias. Since /quit appeared
later in COMMAND_REGISTRY, _build_command_lookup() silently overwrote
/queue's claim, making the documented /queue shorthand unusable.

Fix: remove 'q' from /quit's aliases. /quit already has 'exit' as an
alias plus the full '/quit' command. /queue has no other short alias.

Closes #10467
2026-04-15 15:04:01 -07:00
Teknium 93b6f45224 fix: always retry on ASCII codec UnicodeEncodeError — don't gate on per-component sanitization
The recovery block previously only retried (continue) when one of the
per-component sanitization checks (messages, tools, system prompt,
headers, credentials) found and stripped non-ASCII content.  When the
non-ASCII lived only in api_messages' reasoning_content field (which
is built from messages['reasoning'] and not checked by the original
_sanitize_messages_non_ascii), all checks returned False and the
recovery fell through to the normal error path — burning a retry
attempt despite _force_ascii_payload being set.

Now the recovery always continues (retries) when _is_ascii_codec is
detected.  The _force_ascii_payload flag guarantees the next iteration
runs _sanitize_structure_non_ascii(api_kwargs) on the full API payload,
catching any remaining non-ASCII regardless of where it lives.

Also adds test for the 'reasoning' field on canonical messages.

Fixes #6843
2026-04-15 15:03:28 -07:00
MestreY0d4-Uninter 902f1e6ede chore: add MestreY0d4-Uninter to AUTHOR_MAP and .mailmap 2026-04-15 15:03:28 -07:00
MestreY0d4-Uninter efd1ddc6e1 fix: sanitize api_messages and extra string fields during ASCII-codec recovery (#6843)
The ASCII-locale recovery path in run_agent.py sanitized the canonical
'messages' list but left 'api_messages' untouched. api_messages is a
separate API-copy built before the retry loop and may carry extra fields
(reasoning_content, extra_body entries) that are not present in
'messages'. This caused the retry to still raise UnicodeEncodeError even
after the 'System encoding is ASCII — stripped...' log line appeared.

Two changes:
- _sanitize_messages_non_ascii now walks all extra top-level string fields
  in each message dict (any key not in {content, name, tool_calls, role})
  so reasoning_content and future extras are cleaned in both 'messages'
  and 'api_messages'.
- The ASCII-codec recovery block now also calls sanitize on api_messages
  and api_kwargs so no non-ASCII survives into the next retry attempt.

Adds regression tests covering:
- reasoning_content with non-ASCII in api_messages
- extra_body with non-ASCII in api_kwargs
- canonical messages clean but api_messages dirty

Fixes #6843
2026-04-15 15:03:28 -07:00
LehaoLin d4eba82a37 fix(streaming): don't suppress final response when commentary message is sent
Commentary messages (interim assistant status updates like "Using browser
tool...") are sent via _send_commentary(), which was incorrectly setting
_already_sent = True on success. This caused the final response to be
suppressed when there were multiple tool calls, because the gateway checks
already_sent to decide whether to skip re-sending the response.

The fix: commentary messages are interim status updates, not the final
response, so _already_sent should not be set when they succeed. This
ensures the final response is always delivered regardless of how many
commentary messages were sent during the turn.

Fixes: #10454
2026-04-15 15:00:58 -07:00
Teknium 23f1fa22af fix(kimi): include kimi-coding-cn in Kimi base URL resolution (#10534)
Route kimi-coding-cn through _resolve_kimi_base_url() in both
get_api_key_provider_status() and resolve_api_key_provider_credentials()
so CN users with sk-kimi- prefixed keys get auto-detected to the Kimi
Coding Plan endpoint, matching the existing behavior for kimi-coding.

Also update the kimi-coding display label to accurately reflect the
dual-endpoint setup (Kimi Coding Plan + Moonshot API).

Salvaged from PR #10525 by kkikione999.
2026-04-15 14:54:30 -07:00
Junass1 096260ce78 fix(telegram): authorize update prompt callbacks 2026-04-15 14:54:23 -07:00
Teknium 18396af31e fix: handle cross-device shutil.move failure in tirith auto-install (#10127) (#10524)
_install_tirith() uses shutil.move() to place the binary from tmpdir
to ~/.hermes/bin/.  When these are on different filesystems (common in
Docker, NFS), shutil.move() falls back to copy2 + unlink, but copy2's
metadata step can raise PermissionError.  This exception propagated
past the fail_open guard, crashing the terminal tool entirely.

Additionally, a failed install could leave a non-executable tirith
binary at the destination, causing a retry loop on every subsequent
terminal command.

Fix:
- Catch OSError from shutil.move() and fall back to shutil.copy()
  (skips metadata/xattr copying that causes PermissionError)
- If even copy fails, clean up the partial dest file to prevent
  the non-executable retry loop
- Return (None, 'cross_device_copy_failed') so the failure routes
  through the existing install-failure caching and fail_open logic

Closes #10127
2026-04-15 14:50:07 -07:00
Teknium 1b12f9b1d6 docs: add terminal bypass test to Out of Scope section
Clarifies that tool-level access restrictions are not security boundaries
when the agent has unrestricted terminal access. Deny lists only matter
when paired with equivalent terminal-side restrictions (like WRITE_DENIED_PATHS
pairs with the dangerous command approval system).
2026-04-15 14:34:09 -07:00
i3eg1nner 407d27bd82 feat: add SECURITY.md 2026-04-15 14:34:09 -07:00
Teknium b3b88a279b fix: prevent stale os.environ leak after clear_session_vars (#10304) (#10527)
After clear_session_vars() reset contextvars to their default (''),
get_session_env() treated the empty string as falsy and fell through
to os.environ — resurrecting stale HERMES_SESSION_* values from CLI
startup, cron, or previous sessions.  This broke session isolation
in the gateway where concurrent messages could see each other's
stale environment values.

Fix: use a sentinel (_UNSET) as the contextvar default instead of ''.
get_session_env() now checks 'value is not _UNSET' instead of
truthiness.  Three states are cleanly distinguished:

  - _UNSET (never set): fall back to os.environ (CLI/cron compat)
  - '' (explicitly cleared): return '' — no os.environ fallback
  - 'telegram' (actively set): return the value

clear_session_vars() now uses var.set('') instead of var.reset(token)
to mark vars as explicitly cleared rather than reverting to _UNSET.

Closes #10304
2026-04-15 14:27:17 -07:00
Teknium e36c804bc2 fix: prevent already_sent from swallowing empty responses after tool calls (#10531)
When a model (e.g. mimo-v2-pro) streams intermediate text alongside tool
calls ("Let me search for that") but then returns empty after processing
tool results, the stream consumer already_sent flag is True from the
earlier text delivery.  The gateway suppression check
(already_sent=True, failed=False → return None) would swallow the final
response, leaving the user staring at silence after the search.

Two changes:

1. gateway/run.py return path: skip already_sent suppression when the
   final_response is "(empty)" or empty — the user needs to know the
   agent finished even if streaming sent partial content earlier.

2. gateway/run.py response handler: convert the internal "(empty)"
   sentinel to a user-friendly warning instead of delivering the raw
   sentinel string.

Tests added for all empty/None/sentinel cases plus preserved existing
suppression behavior for normal non-empty responses.
2026-04-15 14:26:45 -07:00
Teknium a9197f9bb1 fix(memory): discover user-installed memory providers from $HERMES_HOME/plugins/ (#10529)
Memory provider discovery (discover_memory_providers, load_memory_provider)
only scanned the bundled plugins/memory/ directory. User-installed providers
at $HERMES_HOME/plugins/<name>/ were invisible, forcing users to symlink
into the repo source tree — which broke on hermes update and created a
dual-registration path causing duplicate tool names (400 errors on strict
providers like Xiaomi MiMo).

Changes:
- Add _get_user_plugins_dir(), _is_memory_provider_dir(), _iter_provider_dirs(),
  and find_provider_dir() helpers to plugins/memory/__init__.py
- discover_memory_providers() now scans both bundled and user dirs
- load_memory_provider() uses find_provider_dir() (bundled-first)
- discover_plugin_cli_commands() uses find_provider_dir()
- _install_dependencies() in memory_setup.py uses find_provider_dir()
- User plugins use _hermes_user_memory namespace to avoid sys.modules collisions
- Non-memory user plugins filtered via source text heuristic
- Bundled providers always take precedence on name collisions

Fixes #4956, #9099. Supersedes #4987, #9123, #9130, #9132, #9982.
2026-04-15 14:25:40 -07:00
Teknium 22d22cd75c fix: auto-register all gateway commands as Discord slash commands (#10528)
Discord's _register_slash_commands() had a hardcoded list of ~27 commands
while COMMAND_REGISTRY defines 34+ gateway-available commands. Missing
commands (debug, branch, rollback, snapshot, profile, yolo, fast, reload,
commands) were invisible in Discord's / autocomplete — users couldn't
discover them.

Add a dynamic catch-all loop after the explicit registrations that
iterates COMMAND_REGISTRY, skips already-registered commands, and
auto-registers the rest using discord.app_commands.Command(). Commands
with args_hint get an optional string parameter; parameterless commands
get a simple callback.

This ensures any future commands added to COMMAND_REGISTRY automatically
appear on Discord without needing a manual entry in discord.py.

Telegram and Slack already derive dynamically from COMMAND_REGISTRY
via telegram_bot_commands() and slack_subcommand_map() — no changes
needed there.
2026-04-15 14:25:27 -07:00
Teknium c4674cbe21 fix: parse string schedules in cron update_job() (#10129) (#10521)
update_job() assumed the schedule value was always a pre-parsed dict
and called .get() on it directly.  When the API passes a raw string
like "every 10m", this crashed with AttributeError.

The create path already handles this correctly by calling
parse_schedule() on the incoming string.  The fix adds the same
normalization to the update path: if the schedule is a string,
parse it into a dict before proceeding.

Closes #10129
2026-04-15 14:25:12 -07:00
Teknium 305a702e09 fix: /browser connect CDP override now takes priority over Camofox (#10523)
When a user runs /browser connect to attach browser tools to their real
Chrome instance via CDP, the BROWSER_CDP_URL env var is set. However,
every browser tool function checks _is_camofox_mode() first, which
short-circuits to the Camofox backend before _get_session_info() ever
checks for the CDP override.

Fix: is_camofox_mode() now returns False when BROWSER_CDP_URL is set,
so the explicit CDP connection takes priority. This is the correct
behavior — /browser connect is an intentional user override.

Reported by SkyLinx on Discord.
2026-04-15 14:11:18 -07:00
Teknium 824c33729d fix(session_search): coerce limit to int to prevent TypeError with non-int values (#10522)
Models (especially open-source like qwen3.5-plus) may send non-int values
for the limit parameter — None (JSON null), string, or even a type object.
This caused TypeError: '<=' not supported between instances of 'int' and
'type' when the value reached min()/comparison operations.

Changes:
- Add defensive int coercion at session_search() entry with fallback to 3
- Clamp limit to [1, 5] range (was only capped at 5, not floored)
- Add tests for None, type object, string, negative, and zero limit values

Reported by community user ludoSifu via Discord.
2026-04-15 14:11:05 -07:00
Teknium 91980e3518 fix: deduplicate memory provider tools to prevent 400 on strict providers (#10511)
Memory provider plugins (e.g. Mnemosyne) can register tools via two paths:
1. Plugin system (ctx.register_tool) → tool registry → get_tool_definitions()
2. Memory manager → get_all_tool_schemas() → direct append in AIAgent.__init__

Path 2 blindly appended without checking if path 1 already added the same
tool names. This created duplicate function names in the tools array sent
to the API. Most providers silently handle duplicates, but Xiaomi MiMo
(via Nous Portal) strictly rejects them with a 400 Bad Request.

Fix: build a set of existing tool names before memory manager injection
and skip any tool whose name is already present.

Confirmed via live testing against Nous Portal:
- Unique tool names → 200 OK
- Duplicate tool names → 400 'Provider returned error'
2026-04-15 14:09:32 -07:00
Teknium 861efe274b fix: add ensure_ascii=False to all MCP json.dumps calls (#10234) (#10512)
Python's json.dumps() defaults to ensure_ascii=True, escaping non-ASCII
characters to \uXXXX sequences.  For CJK characters this inflates
token count 3-4x — a single Chinese character like '中' becomes
'\u4e2d' (6 chars vs 3 bytes, ~6 tokens vs ~1 token).

Since MCP tool results feed directly into the model's conversation
context, this silently multiplied API costs for Chinese, Japanese,
and Korean users.

Fix: add ensure_ascii=False to all 20 json.dumps calls in mcp_tool.py.
Raw UTF-8 is valid JSON per RFC 8259 and all downstream consumers
(LLM APIs, display) handle it correctly.

Closes #10234
2026-04-15 13:59:57 -07:00
Teknium 19142810ed fix: /debug privacy — auto-delete pastes after 1 hour, add privacy notices (#10510)
- Pastes uploaded by /debug now auto-delete after 1 hour via a detached
  background process that sends DELETE to paste.rs
- CLI: shows privacy notice listing what data will be uploaded
- Gateway: only uploads summary report (system info + log tails), NOT
  full log files containing conversation content
- Added 'hermes debug delete <url>' for immediate manual deletion
- 16 new tests covering auto-delete scheduling, paste deletion, privacy
  notices, and the delete subcommand

Addresses user privacy concern where /debug uploaded full conversation
logs to a public paste service with no warning or expiry.
2026-04-15 13:40:27 -07:00
Teknium 2edbf15560 fix: enforce TTL in MessageDeduplicator + use yaml for gateway --config (#10306, #10216) (#10509)
Two gateway fixes:

1. MessageDeduplicator.is_duplicate() now checks TTL at query time (#10306)

   Previously, is_duplicate() returned True for any previously seen ID
   without checking its age — expired entries were only purged when cache
   size exceeded max_size.  On normal workloads that never overflow, message
   IDs stayed deduplicated forever instead of expiring after the TTL.

   Fix: check `now - timestamp < ttl` before returning True.  Expired
   entries are removed and treated as new messages.

2. Gateway --config flag now uses yaml.safe_load() (#10216)

   The --config CLI flag in gateway/run.py main() used json.load() to
   parse config files.  YAML is the only documented config format and
   every other config loader uses yaml.safe_load().  A YAML config file
   passed via --config would crash with json.JSONDecodeError.

Closes #10306
Closes #10216
2026-04-15 13:35:40 -07:00
Teknium af4bf505b3 fix: add on_memory_write bridge to sequential tool execution path (#10174) (#10507)
The on_memory_write bridge that notifies external memory providers
(ClawMem, retaindb, supermemory, etc.) of built-in memory writes was
only present in the concurrent tool execution path (_invoke_tool).
The sequential path (_execute_tool_calls_sequential) — which handles
all single tool calls, the common case — was missing it entirely.

This meant external memory providers silently missed every single-call
memory write, which is the vast majority of memory operations.

Fix: add the identical bridge block to the sequential path, right
after the memory_tool call returns.

Closes #10174
2026-04-15 13:32:59 -07:00
helix4u 93f6f66872 fix(interrupt): preserve pre-start terminal interrupts 2026-04-15 13:29:57 -07:00
Teknium a418ddbd8b fix: add activity heartbeats to prevent false gateway inactivity timeouts (#10501)
Multiple gaps in activity tracking could cause the gateway's inactivity
timeout to fire while the agent is actively working:

1. Streaming wait loop had no periodic heartbeat — the outer thread only
   touched activity when the stale-stream detector fired (180-300s), and
   for local providers (Ollama) the stale timeout was infinity, meaning
   zero heartbeats. Now touches activity every 30s.

2. Concurrent tool execution never set the activity callback on worker
   threads (threading.local invisible across threads) and never set
   _current_tool. Workers now set the callback, and the concurrent wait
   uses a polling loop with 30s heartbeats.

3. Modal backend's execute() override had its own polling loop without
   any activity callback. Now matches _wait_for_process cadence (10s).
2026-04-15 13:29:05 -07:00
Teknium 0d25e1c146 fix: prevent premature loop exit when weak models return empty after substantive tool calls (#10472)
The _last_content_with_tools fallback was firing indiscriminately for ALL
content+tool turns, including mid-task narration alongside substantive
tools (terminal, search_files, etc.).  This caused the agent to exit
the loop with 'I'll scan the directory...' as the final answer instead
of nudging the model to continue processing tool results.

The fix restricts the fallback to housekeeping-only turns (memory, todo,
skill_manage, session_search) where the content genuinely IS the final
answer.  When substantive tools are present, the existing post-tool
nudge mechanism now fires instead, prompting the model to continue.

Affected models: xiaomi/mimo-v2-pro, GLM-5, and other weaker models
that intermittently return empty after tool results.

Reported by user Renaissance on Discord.
2026-04-15 13:28:09 -07:00
Teknium 6391b46779 fix: bound auxiliary client cache to prevent fd exhaustion in long-running gateways (#10200) (#10470)
The _client_cache used event loop id() as part of the cache key, so
every new worker-thread event loop created a new entry for the same
provider config.  In long-running gateways where threads are recycled
frequently, this caused unbounded cache growth — each stale entry
held an unclosed AsyncOpenAI client with its httpx connection pool,
eventually exhausting file descriptors.

Fix: remove loop_id from the cache key and instead validate on each
async cache hit that the cached loop is the current, open loop.  If
the loop changed or was closed, the stale entry is replaced in-place
rather than creating an additional entry.  This bounds cache growth
to at most one entry per unique provider config.

Also adds a _CLIENT_CACHE_MAX_SIZE (64) safety belt with FIFO
eviction as defense-in-depth against any remaining unbounded growth.

Cross-loop safety is preserved: different event loops still get
different client instances (validated by existing test suite).

Closes #10200
2026-04-15 13:16:28 -07:00
Teknium d1d425e9d0 chore: add ZaynJarvis bytedance email to AUTHOR_MAP 2026-04-15 11:28:45 -07:00
zhiheng.liu 7cb06e3bb3 refactor(memory): drop on_session_reset — commit-only is enough
OV transparently handles message history across /new and /compress: old
messages stay in the same session and extraction is idempotent, so there's
no need to rebind providers to a new session_id. The only thing the
session boundary actually needs is to trigger extraction.

- MemoryProvider / MemoryManager: remove on_session_reset hook
- OpenViking: remove on_session_reset override (nothing to do)
- AIAgent: replace rotate_memory_session with commit_memory_session
  (just calls on_session_end, no rebind)
- cli.py / run_agent.py: single commit_memory_session call at the
  session boundary before session_id rotates
- tests: replace on_session_reset coverage with routing tests for
  MemoryManager.on_session_end

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-15 11:28:45 -07:00
zhiheng.liu 8275fa597a refactor(memory): promote on_session_reset to base provider hook
Replace hasattr-forked OpenViking-specific paths with a proper base-class
hook. Collapse the two agent wrappers into a single rotate_memory_session
so callers don't orchestrate commit + rebind themselves.

- MemoryProvider: add on_session_reset(new_session_id) as a default no-op
- MemoryManager: on_session_reset fans out unconditionally (no hasattr,
  no builtin skip — base no-op covers it)
- OpenViking: rename reset_session -> on_session_reset; drop the explicit
  POST /api/v1/sessions (OV auto-creates on first message) and the two
  debug raise_for_status wrappers
- AIAgent: collapse commit_memory_session + reinitialize_memory_session
  into rotate_memory_session(new_sid, messages)
- cli.py / run_agent.py: replace hasattr blocks and the split calls with
  a single unconditional rotate_memory_session call; compression path
  now passes the real messages list instead of []
- tests: align with on_session_reset, assert reset does NOT POST /sessions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-15 11:28:45 -07:00
zhiheng.liu 7856d304f2 fix(openviking): commit session on /new and context compression
The OpenViking memory provider extracts memories when its session is
committed (POST /api/v1/sessions/{id}/commit).  Before this fix, the
CLI had two code paths that changed the active session_id without ever
committing the outgoing OpenViking session:

1. /new (new_session() in cli.py) — called flush_memories() to write
   MEMORY.md, then immediately discarded the old session_id.  The
   accumulated OpenViking session was never committed, so all context
   from that session was lost before extraction could run.

2. /compress and auto-compress (_compress_context() in run_agent.py) —
   split the SQLite session (new session_id) but left the OpenViking
   provider pointing at the old session_id with no commit, meaning all
   messages synced to OpenViking were silently orphaned.

The gateway already handles session commit on /new and /reset via
shutdown_memory_provider() on the cached agent; the CLI path did not.

Fix: introduce a lightweight session-transition lifecycle alongside
the existing full shutdown path:

- OpenVikingMemoryProvider.reset_session(new_session_id): waits for
  in-flight background threads, resets per-session counters, and
  creates the new OV session via POST /api/v1/sessions — without
  tearing down the HTTP client (avoids connection overhead on /new).

- MemoryManager.restart_session(new_session_id): calls reset_session()
  on providers that implement it; falls back to initialize() for
  providers that do not.  Skips the builtin provider (no per-session
  state).

- AIAgent.commit_memory_session(messages): wraps
  memory_manager.on_session_end() without shutdown — commits OV session
  for extraction but leaves the provider alive for the next session.

- AIAgent.reinitialize_memory_session(new_session_id): wraps
  memory_manager.restart_session() — transitions all external providers
  to the new session after session_id has been assigned.

Call sites:
- cli.py new_session(): commit BEFORE session_id changes, reinitialize
  AFTER — ensuring OV extraction runs on the correct session and the
  new session is immediately ready for the next turn.
- run_agent._compress_context(): same pattern, inside the
  if self._session_db: block where the session_id split happens.

/compress and auto-compress are functionally identical at this layer:
both call _compress_context(), so both are fixed by the same change.

Tests added to tests/agent/test_memory_provider.py:
- TestMemoryManagerRestartSession: reset_session() routing, builtin
  skip, initialize() fallback, failure tolerance, empty-manager noop.
- TestOpenVikingResetSession: session_id update, per-session state
  clear, POST /api/v1/sessions call, API failure tolerance, no-client
  noop.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-15 11:28:45 -07:00
zhiheng.liu f3ec4b3a16 Fix OpenViking integration issues: explicit session creation, better error logging 2026-04-15 11:28:45 -07:00
ZaynJarvis 5082a9f66c fix: wire agent/account/user params through _VikingClient
- Fix copy-paste bug: `self._agent = user` → `self._agent = agent`
  with new `agent` parameter in `_VikingClient.__init__`
- Read account/user/agent env vars in `initialize()` and pass them
  to all 4 `_VikingClient` instantiations so identity headers are
  consistently applied across health check, prefetch, sync, and
  memory write paths

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-15 11:28:45 -07:00
Zayn Jarvis 0c30385be2 chore: update doc 2026-04-15 11:28:45 -07:00
Zayn Jarvis 8b167af66b feat: add ov agent header 2026-04-15 11:28:45 -07:00
ZaynJarvis 990030c26e feat: add contrib map 2026-04-15 11:28:45 -07:00
ZaynJarvis d2f85383e8 fix: change default OPENVIKING_ACCOUNT from root to default
- Change default OPENVIKING_ACCOUNT from 'root' to 'default'
- Add account and user config options to get_config_schema()
- Add session creation in initialize()
- Add reset_session() method
- Update docstring to reflect new default

This is a breaking change: existing users who relied on the 'root' account will need to either:
1. Set OPENVIKING_ACCOUNT=root in their environment, or
2. Migrate their data to the 'default' account

Future release will add support for OPENVIKING_ACCOUNT and OPENVIKING_USER in setup when API key is provided.

update desc for key setup
2026-04-15 11:28:45 -07:00
Teknium 2dc5f9d2d3 fix: light mode link/primary colors unreadable on white background (#10457)
Gold #FFD700 has 1.4:1 contrast ratio on white — barely visible.
Replace with dark amber palette (#8B6508 primary, #7A5800 links)
that passes WCAG AA (5.3:1 and 6.5:1 respectively).

Changes:
- :root primary palette → dark amber tones for light mode
- Explicit light mode link colors (#7A5800 / #5A4100 hover)
- Light mode sidebar active state with amber accent
- Light mode table header/border styling
- Footer hover color split by theme (gold for dark, amber for light)

Dark mode is completely unchanged.

Reported by @AbrahamMat7632
2026-04-15 11:17:44 -07:00
Teknium f61cc464f0 fix: include thread_id in _parse_session_key and fix stale parts reference
_parse_session_key() now extracts the optional 6th part (thread_id) from
session keys, and _notify_active_sessions_of_shutdown uses _parsed.get()
instead of the removed 'parts' variable. Without this, shutdown notifications
silently failed (NameError caught by try/except) and forum topic routing
was lost.
2026-04-15 11:16:01 -07:00
kshitijk4poor 2276b72141 fix: follow-up improvements for watch notification routing (#9537)
- Populate watcher_* routing fields for watch-only processes (not just
  notify_on_complete), so watch-pattern events carry direct metadata
  instead of relying solely on session_key parsing fallback
- Extract _parse_session_key() helper to dedupe session key parsing
  at two call sites in gateway/run.py
- Add negative test proving cross-thread leakage doesn't happen
- Add edge-case tests for _build_process_event_source returning None
  (empty evt, invalid platform, short session_key)
- Add unit tests for _parse_session_key helper
2026-04-15 11:16:01 -07:00
etcircle dee592a0b1 fix(gateway): route synthetic background events by session 2026-04-15 11:16:01 -07:00
kshitij da448d4fce test(cron): add regression test for credential_files ContextVar propagation (#10462)
Follow-up to #10459 (salvage of #7527). The copy_context() fix propagates
ALL ContextVars into the cron worker thread, including credential_files.
This test verifies that skill-declared required_credential_files are
visible inside the worker thread, matching the existing env_passthrough
regression test.
2026-04-15 11:11:08 -07:00
helix4u aa398ad655 fix(cron): preserve skill env passthrough in worker thread 2026-04-15 11:03:49 -07:00
358 changed files with 34045 additions and 7484 deletions
+9
View File
@@ -24,6 +24,15 @@
# Optional base URL override (default: Google's OpenAI-compatible endpoint)
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
# =============================================================================
# LLM PROVIDER (Ollama Cloud)
# =============================================================================
# Cloud-hosted open models via Ollama's OpenAI-compatible endpoint.
# Get your key at: https://ollama.com/settings
# OLLAMA_API_KEY=your_ollama_key_here
# Optional base URL override (default: https://ollama.com/v1)
# OLLAMA_BASE_URL=https://ollama.com/v1
# =============================================================================
# LLM PROVIDER (z.ai / GLM)
# =============================================================================
+10 -8
View File
@@ -1,11 +1,12 @@
name: Deploy Site
on:
release:
types: [published]
push:
branches: [main]
paths:
- 'website/**'
- 'landingpage/**'
- 'skills/**'
- 'optional-skills/**'
- '.github/workflows/deploy-site.yml'
@@ -20,8 +21,14 @@ concurrency:
cancel-in-progress: false
jobs:
build-and-deploy:
# Only run on the upstream repository, not on forks
deploy-vercel:
if: github.event_name == 'release'
runs-on: ubuntu-latest
steps:
- name: Trigger Vercel Deploy
run: curl -X POST "${{ secrets.VERCEL_DEPLOY_HOOK }}"
deploy-docs:
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
environment:
@@ -65,12 +72,7 @@ jobs:
- name: Stage deployment
run: |
mkdir -p _site/docs
# Landing page at root
cp -r landingpage/* _site/
# Docusaurus at /docs/
cp -r website/build/* _site/docs/
# CNAME so GitHub Pages keeps the custom domain between deploys
echo "hermes-agent.nousresearch.com" > _site/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3
+8 -2
View File
@@ -16,8 +16,13 @@ concurrency:
jobs:
test:
name: test (${{ matrix.group }}/4)
runs-on: ubuntu-latest
timeout-minutes: 10
strategy:
fail-fast: false
matrix:
group: [1, 2, 3, 4]
steps:
- name: Checkout code
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
@@ -37,10 +42,11 @@ jobs:
source .venv/bin/activate
uv pip install -e ".[all,dev]"
- name: Run tests
- name: Run tests (shard ${{ matrix.group }}/4)
run: |
source .venv/bin/activate
python -m pytest tests/ -q --ignore=tests/integration --ignore=tests/e2e --tb=short -n auto
python -m pytest tests/ -q --ignore=tests/integration --ignore=tests/e2e --tb=short \
--splits 4 --group ${{ matrix.group }}
env:
# Ensure tests don't accidentally call real APIs
OPENROUTER_API_KEY: ""
+1
View File
@@ -105,3 +105,4 @@ 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>
MestreY0d4-Uninter <241404605+MestreY0d4-Uninter@users.noreply.github.com> <MestreY0d4-Uninter@users.noreply.github.com>
+27
View File
@@ -0,0 +1,27 @@
# Hermes Agent v0.10.0 (v2026.4.16)
**Release Date:** April 16, 2026
> The Tool Gateway release — paid Nous Portal subscribers can now use web search, image generation, text-to-speech, and browser automation through their existing subscription with zero additional API keys.
---
## ✨ Highlights
- **Nous Tool Gateway** — Paid [Nous Portal](https://portal.nousresearch.com) subscribers now get automatic access to **web search** (Firecrawl), **image generation** (FAL / FLUX 2 Pro), **text-to-speech** (OpenAI TTS), and **browser automation** (Browser Use) through their existing subscription. No separate API keys needed — just run `hermes model`, select Nous Portal, and pick which tools to enable. Per-tool opt-in via `use_gateway` config, full integration with `hermes tools` and `hermes status`, and the runtime correctly prefers the gateway even when direct API keys exist. Replaces the old hidden `HERMES_ENABLE_NOUS_MANAGED_TOOLS` env var with clean subscription-based detection. ([#11206](https://github.com/NousResearch/hermes-agent/pull/11206), based on work by @jquesnelle; docs: [#11208](https://github.com/NousResearch/hermes-agent/pull/11208))
---
## 🐛 Bug Fixes & Improvements
This release includes 180+ commits with numerous bug fixes, platform improvements, and reliability enhancements across the agent core, gateway, CLI, and tool system. Full details will be published in the v0.11.0 changelog.
---
## 👥 Contributors
- **@jquesnelle** (emozilla) — Original Tool Gateway implementation ([#10799](https://github.com/NousResearch/hermes-agent/pull/10799)), salvaged and shipped in this release
---
**Full Changelog**: [v2026.4.13...v2026.4.16](https://github.com/NousResearch/hermes-agent/compare/v2026.4.13...v2026.4.16)
+84
View File
@@ -0,0 +1,84 @@
# Hermes Agent Security Policy
This document outlines the security protocols, trust model, and deployment hardening guidelines for the **Hermes Agent** project.
## 1. Vulnerability Reporting
Hermes Agent does **not** operate a bug bounty program. Security issues should be reported via [GitHub Security Advisories (GHSA)](https://github.com/NousResearch/hermes-agent/security/advisories/new) or by emailing **security@nousresearch.com**. Do not open public issues for security vulnerabilities.
### Required Submission Details
- **Title & Severity:** Concise description and CVSS score/rating.
- **Affected Component:** Exact file path and line range (e.g., `tools/approval.py:120-145`).
- **Environment:** Output of `hermes version`, commit SHA, OS, and Python version.
- **Reproduction:** Step-by-step Proof-of-Concept (PoC) against `main` or the latest release.
- **Impact:** Explanation of what trust boundary was crossed.
---
## 2. Trust Model
The core assumption is that Hermes is a **personal agent** with one trusted operator.
### Operator & Session Trust
- **Single Tenant:** The system protects the operator from LLM actions, not from malicious co-tenants. Multi-user isolation must happen at the OS/host level.
- **Gateway Security:** Authorized callers (Telegram, Discord, Slack, etc.) receive equal trust. Session keys are used for routing, not as authorization boundaries.
- **Execution:** Defaults to `terminal.backend: local` (direct host execution). Container isolation (Docker, Modal, Daytona) is opt-in for sandboxing.
### Dangerous Command Approval
The approval system (`tools/approval.py`) is a core security boundary. Terminal commands, file operations, and other potentially destructive actions are gated behind explicit user confirmation before execution. The approval mode is configurable via `approvals.mode` in `config.yaml`:
- `"on"` (default) — prompts the user to approve dangerous commands.
- `"auto"` — auto-approves after a configurable delay.
- `"off"` — disables the gate entirely (break-glass; see Section 3).
### Output Redaction
`agent/redact.py` strips secret-like patterns (API keys, tokens, credentials) from all display output before it reaches the terminal or gateway platform. This prevents accidental credential leakage in chat logs, tool previews, and response text. Redaction operates on the display layer only — underlying values remain intact for internal agent operations.
### Skills vs. MCP Servers
- **Installed Skills:** High trust. Equivalent to local host code; skills can read environment variables and run arbitrary commands.
- **MCP Servers:** Lower trust. MCP subprocesses receive a filtered environment (`_build_safe_env()` in `tools/mcp_tool.py`) — only safe baseline variables (`PATH`, `HOME`, `XDG_*`) plus variables explicitly declared in the server's `env` config block are passed through. Host credentials are stripped by default. Additionally, packages invoked via `npx`/`uvx` are checked against the OSV malware database before spawning.
### Code Execution Sandbox
The `execute_code` tool (`tools/code_execution_tool.py`) runs LLM-generated Python scripts in a child process with API keys and tokens stripped from the environment to prevent credential exfiltration. Only environment variables explicitly declared by loaded skills (via `env_passthrough`) or by the user in `config.yaml` (`terminal.env_passthrough`) are passed through. The child accesses Hermes tools via RPC, not direct API calls.
### Subagents
- **No recursive delegation:** The `delegate_task` tool is disabled for child agents.
- **Depth limit:** `MAX_DEPTH = 2` — parent (depth 0) can spawn a child (depth 1); grandchildren are rejected.
- **Memory isolation:** Subagents run with `skip_memory=True` and do not have access to the parent's persistent memory provider. The parent receives only the task prompt and final response as an observation.
---
## 3. Out of Scope (Non-Vulnerabilities)
The following scenarios are **not** considered security breaches:
- **Prompt Injection:** Unless it results in a concrete bypass of the approval system, toolset restrictions, or container sandbox.
- **Public Exposure:** Deploying the gateway to the public internet without external authentication or network protection.
- **Trusted State Access:** Reports that require pre-existing write access to `~/.hermes/`, `.env`, or `config.yaml` (these are operator-owned files).
- **Default Behavior:** Host-level command execution when `terminal.backend` is set to `local` — this is the documented default, not a vulnerability.
- **Configuration Trade-offs:** Intentional break-glass settings such as `approvals.mode: "off"` or `terminal.backend: local` in production.
- **Tool-level read/access restrictions:** The agent has unrestricted shell access via the `terminal` tool by design. Reports that a specific tool (e.g., `read_file`) can access a resource are not vulnerabilities if the same access is available through `terminal`. Tool-level deny lists only constitute a meaningful security boundary when paired with equivalent restrictions on the terminal side (as with write operations, where `WRITE_DENIED_PATHS` is paired with the dangerous command approval system).
---
## 4. Deployment Hardening & Best Practices
### Filesystem & Network
- **Production sandboxing:** Use container backends (`docker`, `modal`, `daytona`) instead of `local` for untrusted workloads.
- **File permissions:** Run as non-root (the Docker image uses UID 10000); protect credentials with `chmod 600 ~/.hermes/.env` on local installs.
- **Network exposure:** Do not expose the gateway or API server to the public internet without VPN, Tailscale, or firewall protection. SSRF protection is enabled by default across all gateway platform adapters (Telegram, Discord, Slack, Matrix, Mattermost, etc.) with redirect validation. Note: the local terminal backend does not apply SSRF filtering, as it operates within the trusted operator's environment.
### Skills & Supply Chain
- **Skill installation:** Review Skills Guard reports (`tools/skills_guard.py`) before installing third-party skills. The audit log at `~/.hermes/skills/.hub/audit.log` tracks every install and removal.
- **MCP safety:** OSV malware checking runs automatically for `npx`/`uvx` packages before MCP server processes are spawned.
- **CI/CD:** GitHub Actions are pinned to full commit SHAs. The `supply-chain-audit.yml` workflow blocks PRs containing `.pth` files or suspicious `base64`+`exec` patterns.
### Credential Storage
- API keys and tokens belong exclusively in `~/.hermes/.env` — never in `config.yaml` or checked into version control.
- The credential pool system (`agent/credential_pool.py`) handles key rotation and fallback. Credentials are resolved from environment variables, not stored in plaintext databases.
---
## 5. Disclosure Process
- **Coordinated Disclosure:** 90-day window or until a fix is released, whichever comes first.
- **Communication:** All updates occur via the GHSA thread or email correspondence with security@nousresearch.com.
- **Credits:** Reporters are credited in release notes unless anonymity is requested.
+120 -11
View File
@@ -28,19 +28,45 @@ except ImportError:
logger = logging.getLogger(__name__)
THINKING_BUDGET = {"xhigh": 32000, "high": 16000, "medium": 8000, "low": 4000}
# Hermes effort → Anthropic adaptive-thinking effort (output_config.effort).
# Anthropic exposes 5 levels on 4.7+: low, medium, high, xhigh, max.
# Opus/Sonnet 4.6 only expose 4 levels: low, medium, high, max — no xhigh.
# We preserve xhigh as xhigh on 4.7+ (the recommended default for coding/
# agentic work) and downgrade it to max on pre-4.7 adaptive models (which
# is the strongest level they accept). "minimal" is a legacy alias that
# maps to low on every model. See:
# https://platform.claude.com/docs/en/about-claude/models/migration-guide
ADAPTIVE_EFFORT_MAP = {
"xhigh": "max",
"high": "high",
"medium": "medium",
"low": "low",
"max": "max",
"xhigh": "xhigh",
"high": "high",
"medium": "medium",
"low": "low",
"minimal": "low",
}
# Models that accept the "xhigh" output_config.effort level. Opus 4.7 added
# xhigh as a distinct level between high and max; older adaptive-thinking
# models (4.6) reject it with a 400. Keep this substring list in sync with
# the Anthropic migration guide as new model families ship.
_XHIGH_EFFORT_SUBSTRINGS = ("4-7", "4.7")
# Models where extended thinking is deprecated/removed (4.6+ behavior: adaptive
# is the only supported mode; 4.7 additionally forbids manual thinking entirely
# and drops temperature/top_p/top_k).
_ADAPTIVE_THINKING_SUBSTRINGS = ("4-6", "4.6", "4-7", "4.7")
# Models where temperature/top_p/top_k return 400 if set to non-default values.
# This is the Opus 4.7 contract; future 4.x+ models are expected to follow it.
_NO_SAMPLING_PARAMS_SUBSTRINGS = ("4-7", "4.7")
# ── Max output token limits per Anthropic model ───────────────────────
# Source: Anthropic docs + Cline model catalog. Anthropic's API requires
# max_tokens as a mandatory field. Previously we hardcoded 16384, which
# starves thinking-enabled models (thinking tokens count toward the limit).
_ANTHROPIC_OUTPUT_LIMITS = {
# Claude 4.7
"claude-opus-4-7": 128_000,
# Claude 4.6
"claude-opus-4-6": 128_000,
"claude-sonnet-4-6": 64_000,
@@ -91,11 +117,37 @@ def _get_anthropic_max_output(model: str) -> int:
def _supports_adaptive_thinking(model: str) -> bool:
"""Return True for Claude 4.6 models that support adaptive thinking."""
return any(v in model for v in ("4-6", "4.6"))
"""Return True for Claude 4.6+ models that support adaptive thinking."""
return any(v in model for v in _ADAPTIVE_THINKING_SUBSTRINGS)
# Beta headers for enhanced features (sent with ALL auth types)
def _supports_xhigh_effort(model: str) -> bool:
"""Return True for models that accept the 'xhigh' adaptive effort level.
Opus 4.7 introduced xhigh as a distinct level between high and max.
Pre-4.7 adaptive models (Opus/Sonnet 4.6) only accept low/medium/high/max
and reject xhigh with an HTTP 400. Callers should downgrade xhigh→max
when this returns False.
"""
return any(v in model for v in _XHIGH_EFFORT_SUBSTRINGS)
def _forbids_sampling_params(model: str) -> bool:
"""Return True for models that 400 on any non-default temperature/top_p/top_k.
Opus 4.7 explicitly rejects sampling parameters; later Claude releases are
expected to follow suit. Callers should omit these fields entirely rather
than passing zero/default values (the API rejects anything non-null).
"""
return any(v in model for v in _NO_SAMPLING_PARAMS_SUBSTRINGS)
# Beta headers for enhanced features (sent with ALL auth types).
# As of Opus 4.7 (2026-04-16), both of these are GA on Claude 4.6+ — the
# beta headers are still accepted (harmless no-op) but not required. Kept
# here so older Claude (4.5, 4.1) + third-party Anthropic-compat endpoints
# that still gate on the headers continue to get the enhanced features.
# Migration guide: remove these if you no longer support ≤4.5 models.
_COMMON_BETAS = [
"interleaved-thinking-2025-05-14",
"fine-grained-tool-streaming-2025-05-14",
@@ -298,6 +350,33 @@ def build_anthropic_client(api_key: str, base_url: str = None):
return _anthropic_sdk.Anthropic(**kwargs)
def build_anthropic_bedrock_client(region: str):
"""Create an AnthropicBedrock client for Bedrock Claude models.
Uses the Anthropic SDK's native Bedrock adapter, which provides full
Claude feature parity: prompt caching, thinking budgets, adaptive
thinking, fast mode — features not available via the Converse API.
Auth uses the boto3 default credential chain (IAM roles, SSO, env vars).
"""
if _anthropic_sdk is None:
raise ImportError(
"The 'anthropic' package is required for the Bedrock provider. "
"Install it with: pip install 'anthropic>=0.39.0'"
)
if not hasattr(_anthropic_sdk, "AnthropicBedrock"):
raise ImportError(
"anthropic.AnthropicBedrock not available. "
"Upgrade with: pip install 'anthropic>=0.39.0'"
)
from httpx import Timeout
return _anthropic_sdk.AnthropicBedrock(
aws_region=region,
timeout=Timeout(timeout=900.0, connect=10.0),
)
def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
"""Read refreshable Claude Code OAuth credentials from ~/.claude/.credentials.json.
@@ -1314,18 +1393,31 @@ def build_anthropic_kwargs(
kwargs["tool_choice"] = {"type": "tool", "name": tool_choice}
# Map reasoning_config to Anthropic's thinking parameter.
# Claude 4.6 models use adaptive thinking + output_config.effort.
# Claude 4.6+ models use adaptive thinking + output_config.effort.
# Older models use manual thinking with budget_tokens.
# MiniMax Anthropic-compat endpoints support thinking (manual mode only,
# not adaptive). Haiku does NOT support extended thinking — skip entirely.
#
# On 4.7+ the `thinking.display` field defaults to "omitted", which
# silently hides reasoning text that Hermes surfaces in its CLI. We
# request "summarized" so the reasoning blocks stay populated — matching
# 4.6 behavior and preserving the activity-feed UX during long tool runs.
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is not False and "haiku" not in model.lower():
effort = str(reasoning_config.get("effort", "medium")).lower()
budget = THINKING_BUDGET.get(effort, 8000)
if _supports_adaptive_thinking(model):
kwargs["thinking"] = {"type": "adaptive"}
kwargs["thinking"] = {
"type": "adaptive",
"display": "summarized",
}
adaptive_effort = ADAPTIVE_EFFORT_MAP.get(effort, "medium")
# Downgrade xhigh→max on models that don't list xhigh as a
# supported level (Opus/Sonnet 4.6). Opus 4.7+ keeps xhigh.
if adaptive_effort == "xhigh" and not _supports_xhigh_effort(model):
adaptive_effort = "max"
kwargs["output_config"] = {
"effort": ADAPTIVE_EFFORT_MAP.get(effort, "medium")
"effort": adaptive_effort,
}
else:
kwargs["thinking"] = {"type": "enabled", "budget_tokens": budget}
@@ -1333,6 +1425,15 @@ def build_anthropic_kwargs(
kwargs["temperature"] = 1
kwargs["max_tokens"] = max(effective_max_tokens, budget + 4096)
# ── Strip sampling params on 4.7+ ─────────────────────────────────
# Opus 4.7 rejects any non-default temperature/top_p/top_k with a 400.
# Callers (auxiliary_client, flush_memories, etc.) may set these for
# older models; drop them here as a safety net so upstream 4.6 → 4.7
# migrations don't require coordinated edits everywhere.
if _forbids_sampling_params(model):
for _sampling_key in ("temperature", "top_p", "top_k"):
kwargs.pop(_sampling_key, None)
# ── Fast mode (Opus 4.6 only) ────────────────────────────────────
# Adds extra_body.speed="fast" + the fast-mode beta header for ~2.5x
# output speed. Only for native Anthropic endpoints — third-party
@@ -1390,12 +1491,20 @@ def normalize_anthropic_response(
)
)
# Map Anthropic stop_reason to OpenAI finish_reason
# Map Anthropic stop_reason to OpenAI finish_reason.
# Newer stop reasons added in Claude 4.5+ / 4.7:
# - refusal: the model declined to answer (cyber safeguards, CSAM, etc.)
# - model_context_window_exceeded: hit context limit (not max_tokens)
# Both need distinct handling upstream — a refusal should surface to the
# user with a clear message, and a context-window overflow should trigger
# compression/truncation rather than be treated as normal end-of-turn.
stop_reason_map = {
"end_turn": "stop",
"tool_use": "tool_calls",
"max_tokens": "length",
"stop_sequence": "stop",
"refusal": "content_filter",
"model_context_window_exceeded": "length",
}
finish_reason = stop_reason_map.get(response.stop_reason, "stop")
+128 -27
View File
@@ -58,6 +58,9 @@ _PROVIDER_ALIASES = {
"google": "gemini",
"google-gemini": "gemini",
"google-ai-studio": "gemini",
"x-ai": "xai",
"x.ai": "xai",
"grok": "xai",
"glm": "zai",
"z-ai": "zai",
"z.ai": "zai",
@@ -104,6 +107,7 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"opencode-zen": "gemini-3-flash",
"opencode-go": "glm-5",
"kilocode": "google/gemini-3-flash-preview",
"ollama-cloud": "nemotron-3-nano:30b",
}
# Vision-specific model overrides for direct providers.
@@ -514,8 +518,13 @@ class _AnthropicCompletionsAdapter:
tool_choice=normalized_tool_choice,
is_oauth=self._is_oauth,
)
# Opus 4.7+ rejects any non-default temperature/top_p/top_k; only set
# temperature for models that still accept it. build_anthropic_kwargs
# additionally strips these keys as a safety net — keep both layers.
if temperature is not None:
anthropic_kwargs["temperature"] = temperature
from agent.anthropic_adapter import _forbids_sampling_params
if not _forbids_sampling_params(model):
anthropic_kwargs["temperature"] = temperature
response = self._client.messages.create(**anthropic_kwargs)
assistant_message, finish_reason = normalize_anthropic_response(response)
@@ -775,6 +784,21 @@ def _try_openrouter() -> Tuple[Optional[OpenAI], Optional[str]]:
def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
# Check cross-session rate limit guard before attempting Nous —
# if another session already recorded a 429, skip Nous entirely
# to avoid piling more requests onto the tapped RPH bucket.
try:
from agent.nous_rate_guard import nous_rate_limit_remaining
_remaining = nous_rate_limit_remaining()
if _remaining is not None and _remaining > 0:
logger.debug(
"Auxiliary: skipping Nous Portal (rate-limited, resets in %.0fs)",
_remaining,
)
return None, None
except Exception:
pass
nous = _read_nous_auth()
if not nous:
return None, None
@@ -899,6 +923,51 @@ def _current_custom_base_url() -> str:
return custom_base or ""
def _validate_proxy_env_urls() -> None:
"""Fail fast with a clear error when proxy env vars have malformed URLs.
Common cause: shell config (e.g. .zshrc) with a typo like
``export HTTP_PROXY=http://127.0.0.1:6153export NEXT_VAR=...``
which concatenates 'export' into the port number. Without this
check the OpenAI/httpx client raises a cryptic ``Invalid port``
error that doesn't name the offending env var.
"""
from urllib.parse import urlparse
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY",
"https_proxy", "http_proxy", "all_proxy"):
value = str(os.environ.get(key) or "").strip()
if not value:
continue
try:
parsed = urlparse(value)
if parsed.scheme:
_ = parsed.port # raises ValueError for e.g. '6153export'
except ValueError as exc:
raise RuntimeError(
f"Malformed proxy environment variable {key}={value!r}. "
"Fix or unset your proxy settings and try again."
) from exc
def _validate_base_url(base_url: str) -> None:
"""Reject obviously broken custom endpoint URLs before they reach httpx."""
from urllib.parse import urlparse
candidate = str(base_url or "").strip()
if not candidate or candidate.startswith("acp://"):
return
try:
parsed = urlparse(candidate)
if parsed.scheme in {"http", "https"}:
_ = parsed.port # raises ValueError for malformed ports
except ValueError as exc:
raise RuntimeError(
f"Malformed custom endpoint URL: {candidate!r}. "
"Run `hermes setup` or `hermes model` and enter a valid http(s) base URL."
) from exc
def _try_custom_endpoint() -> Tuple[Optional[OpenAI], Optional[str]]:
runtime = _resolve_custom_runtime()
if len(runtime) == 2:
@@ -1299,6 +1368,7 @@ def resolve_provider_client(
Returns:
(client, resolved_model) or (None, None) if auth is unavailable.
"""
_validate_proxy_env_urls()
# Normalise aliases
provider = _normalize_aux_provider(provider)
@@ -1835,9 +1905,15 @@ def auxiliary_max_tokens_param(value: int) -> dict:
# Every auxiliary LLM consumer should use these instead of manually
# constructing clients and calling .chat.completions.create().
# Client cache: (provider, async_mode, base_url, api_key) -> (client, default_model)
# Client cache: (provider, async_mode, base_url, api_key, api_mode, runtime_key) -> (client, default_model, loop)
# NOTE: loop identity is NOT part of the key. On async cache hits we check
# whether the cached loop is the *current* loop; if not, the stale entry is
# replaced in-place. This bounds cache growth to one entry per unique
# provider config rather than one per (config × event-loop), which previously
# caused unbounded fd accumulation in long-running gateway processes (#10200).
_client_cache: Dict[tuple, tuple] = {}
_client_cache_lock = threading.Lock()
_CLIENT_CACHE_MAX_SIZE = 64 # safety belt — evict oldest when exceeded
def neuter_async_httpx_del() -> None:
@@ -1970,39 +2046,49 @@ def _get_cached_client(
Async clients (AsyncOpenAI) use httpx.AsyncClient internally, which
binds to the event loop that was current when the client was created.
Using such a client on a *different* loop causes deadlocks or
RuntimeError. To prevent cross-loop issues (especially in gateway
mode where _run_async() may spawn fresh loops in worker threads), the
cache key for async clients includes the current event loop's identity
so each loop gets its own client instance.
RuntimeError. To prevent cross-loop issues, the cache validates on
every async hit that the cached loop is the *current, open* loop.
If the loop changed (e.g. a new gateway worker-thread loop), the stale
entry is replaced in-place rather than creating an additional entry.
This keeps cache size bounded to one entry per unique provider config,
preventing the fd-exhaustion that previously occurred in long-running
gateways where recycled worker threads created unbounded entries (#10200).
"""
# Include loop identity for async clients to prevent cross-loop reuse.
# httpx.AsyncClient (inside AsyncOpenAI) is bound to the loop where it
# was created — reusing it on a different loop causes deadlocks (#2681).
loop_id = 0
# Resolve the current event loop for async clients so we can validate
# cached entries. Loop identity is NOT in the cache key — instead we
# check at hit time whether the cached loop is still current and open.
# This prevents unbounded cache growth from recycled worker-thread loops
# while still guaranteeing we never reuse a client on the wrong loop
# (which causes deadlocks, see #2681).
current_loop = None
if async_mode:
try:
import asyncio as _aio
current_loop = _aio.get_event_loop()
loop_id = id(current_loop)
except RuntimeError:
pass
runtime = _normalize_main_runtime(main_runtime)
runtime_key = tuple(runtime.get(field, "") for field in _MAIN_RUNTIME_FIELDS) if provider == "auto" else ()
cache_key = (provider, async_mode, base_url or "", api_key or "", api_mode or "", loop_id, runtime_key)
cache_key = (provider, async_mode, base_url or "", api_key or "", api_mode or "", runtime_key)
with _client_cache_lock:
if cache_key in _client_cache:
cached_client, cached_default, cached_loop = _client_cache[cache_key]
if async_mode:
# A cached async client whose loop has been closed will raise
# "Event loop is closed" when httpx tries to clean up its
# transport. Discard the stale client and create a fresh one.
if cached_loop is not None and cached_loop.is_closed():
_force_close_async_httpx(cached_client)
del _client_cache[cache_key]
else:
# Validate: the cached client must be bound to the CURRENT,
# OPEN loop. If the loop changed or was closed, the httpx
# transport inside is dead — force-close and replace.
loop_ok = (
cached_loop is not None
and cached_loop is current_loop
and not cached_loop.is_closed()
)
if loop_ok:
effective = _compat_model(cached_client, model, cached_default)
return cached_client, effective
# Stale — evict and fall through to create a new client.
_force_close_async_httpx(cached_client)
del _client_cache[cache_key]
else:
effective = _compat_model(cached_client, model, cached_default)
return cached_client, effective
@@ -2022,6 +2108,12 @@ def _get_cached_client(
bound_loop = current_loop
with _client_cache_lock:
if cache_key not in _client_cache:
# Safety belt: if the cache has grown beyond the max, evict
# the oldest entries (FIFO — dict preserves insertion order).
while len(_client_cache) >= _CLIENT_CACHE_MAX_SIZE:
evict_key, evict_entry = next(iter(_client_cache.items()))
_force_close_async_httpx(evict_entry[0])
del _client_cache[evict_key]
_client_cache[cache_key] = (client, default_model, bound_loop)
else:
client, default_model, _ = _client_cache[cache_key]
@@ -2201,6 +2293,15 @@ def _build_call_kwargs(
"timeout": timeout,
}
# Opus 4.7+ rejects any non-default temperature/top_p/top_k — silently
# drop here so auxiliary callers that hardcode temperature (e.g. 0.3 on
# flush_memories, 0 on structured-JSON extraction) don't 400 the moment
# the aux model is flipped to 4.7.
if temperature is not None:
from agent.anthropic_adapter import _forbids_sampling_params
if _forbids_sampling_params(model):
temperature = None
if temperature is not None:
kwargs["temperature"] = temperature
@@ -2304,10 +2405,10 @@ def call_llm(
if task == "vision":
effective_provider, client, final_model = resolve_vision_provider_client(
provider=provider,
model=model,
base_url=base_url,
api_key=api_key,
provider=resolved_provider if resolved_provider != "auto" else provider,
model=resolved_model or model,
base_url=resolved_base_url or base_url,
api_key=resolved_api_key or api_key,
async_mode=False,
)
if client is None and resolved_provider != "auto" and not resolved_base_url:
@@ -2512,10 +2613,10 @@ async def async_call_llm(
if task == "vision":
effective_provider, client, final_model = resolve_vision_provider_client(
provider=provider,
model=model,
base_url=base_url,
api_key=api_key,
provider=resolved_provider if resolved_provider != "auto" else provider,
model=resolved_model or model,
base_url=resolved_base_url or base_url,
api_key=resolved_api_key or api_key,
async_mode=True,
)
if client is None and resolved_provider != "auto" and not resolved_base_url:
File diff suppressed because it is too large Load Diff
+77 -5
View File
@@ -39,7 +39,10 @@ SUMMARY_PREFIX = (
"into the summary below. This is a handoff from a previous context "
"window — treat it as background reference, NOT as active instructions. "
"Do NOT answer questions or fulfill requests mentioned in this summary; "
"they were already addressed. Respond ONLY to the latest user message "
"they were already addressed. "
"Your current task is identified in the '## Active Task' section of the "
"summary — resume exactly from there. "
"Respond ONLY to the latest user message "
"that appears AFTER this summary. The current session state (files, "
"config, etc.) may reflect work described here — avoid repeating it:"
)
@@ -581,8 +584,16 @@ class ContextCompressor(ContextEngine):
)
# Shared structured template (used by both paths).
_template_sections = f"""## Goal
[What the user is trying to accomplish]
_template_sections = f"""## Active Task
[THE SINGLE MOST IMPORTANT FIELD. Copy the user's most recent request or
task assignment verbatim — the exact words they used. If multiple tasks
were requested and only some are done, list only the ones NOT yet completed.
The next assistant must pick up exactly here. Example:
"User asked: 'Now refactor the auth module to use JWT instead of sessions'"
If no outstanding task exists, write "None."]
## Goal
[What the user is trying to accomplish overall]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions]
@@ -644,7 +655,7 @@ 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 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.
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. CRITICAL: Update "## Active Task" to reflect the user's most recent unfulfilled request — this is the most important field for task continuity.
{_template_sections}"""
else:
@@ -862,6 +873,62 @@ The user has requested that this compaction PRIORITISE preserving all informatio
# Tail protection by token budget
# ------------------------------------------------------------------
def _find_last_user_message_idx(
self, messages: List[Dict[str, Any]], head_end: int
) -> int:
"""Return the index of the last user-role message at or after *head_end*, or -1."""
for i in range(len(messages) - 1, head_end - 1, -1):
if messages[i].get("role") == "user":
return i
return -1
def _ensure_last_user_message_in_tail(
self,
messages: List[Dict[str, Any]],
cut_idx: int,
head_end: int,
) -> int:
"""Guarantee the most recent user message is in the protected tail.
Context compressor bug (#10896): ``_align_boundary_backward`` can pull
``cut_idx`` past a user message when it tries to keep tool_call/result
groups together. If the last user message ends up in the *compressed*
middle region the LLM summariser writes it into "Pending User Asks",
but ``SUMMARY_PREFIX`` tells the next model to respond only to user
messages *after* the summary — so the task effectively disappears from
the active context, causing the agent to stall, repeat completed work,
or silently drop the user's latest request.
Fix: if the last user-role message is not already in the tail
(``messages[cut_idx:]``), walk ``cut_idx`` back to include it. We
then re-align backward one more time to avoid splitting any
tool_call/result group that immediately precedes the user message.
"""
last_user_idx = self._find_last_user_message_idx(messages, head_end)
if last_user_idx < 0:
# No user message found beyond head — nothing to anchor.
return cut_idx
if last_user_idx >= cut_idx:
# Already in the tail; nothing to do.
return cut_idx
# The last user message is in the middle (compressed) region.
# Pull cut_idx back to it directly — a user message is already a
# clean boundary (no tool_call/result splitting risk), so there is no
# need to call _align_boundary_backward here; doing so would
# unnecessarily pull the cut further back into the preceding
# assistant + tool_calls group.
if not self.quiet_mode:
logger.debug(
"Anchoring tail cut to last user message at index %d "
"(was %d) to prevent active-task loss after compression",
last_user_idx,
cut_idx,
)
# Safety: never go back into the head region.
return max(last_user_idx, head_end + 1)
def _find_tail_cut_by_tokens(
self, messages: List[Dict[str, Any]], head_end: int,
token_budget: int | None = None,
@@ -879,7 +946,8 @@ The user has requested that this compaction PRIORITISE preserving all informatio
read, etc.). If even the minimum 3 messages exceed 1.5x the budget
the cut is placed right after the head so compression still runs.
Never cuts inside a tool_call/result group.
Never cuts inside a tool_call/result group. Always ensures the most
recent user message is in the tail (see ``_ensure_last_user_message_in_tail``).
"""
if token_budget is None:
token_budget = self.tail_token_budget
@@ -918,6 +986,10 @@ The user has requested that this compaction PRIORITISE preserving all informatio
# Align to avoid splitting tool groups
cut_idx = self._align_boundary_backward(messages, cut_idx)
# Ensure the most recent user message is always in the tail so the
# active task is never lost to compression (fixes #10896).
cut_idx = self._ensure_last_user_message_in_tail(messages, cut_idx, head_end)
return max(cut_idx, head_end + 1)
# ------------------------------------------------------------------
+17 -1
View File
@@ -313,9 +313,25 @@ class CopilotACPClient:
tools=tools,
tool_choice=tool_choice,
)
# Normalise timeout: run_agent.py may pass an httpx.Timeout object
# (used natively by the OpenAI SDK) rather than a plain float.
if timeout is None:
_effective_timeout = _DEFAULT_TIMEOUT_SECONDS
elif isinstance(timeout, (int, float)):
_effective_timeout = float(timeout)
else:
# httpx.Timeout or similar — pick the largest component so the
# subprocess has enough wall-clock time for the full response.
_candidates = [
getattr(timeout, attr, None)
for attr in ("read", "write", "connect", "pool", "timeout")
]
_numeric = [float(v) for v in _candidates if isinstance(v, (int, float))]
_effective_timeout = max(_numeric) if _numeric else _DEFAULT_TIMEOUT_SECONDS
response_text, reasoning_text = self._run_prompt(
prompt_text,
timeout_seconds=float(timeout or _DEFAULT_TIMEOUT_SECONDS),
timeout_seconds=_effective_timeout,
)
tool_calls, cleaned_text = _extract_tool_calls_from_text(response_text)
+2
View File
@@ -1162,6 +1162,7 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
if token:
source_name = "gh_cli" if "gh" in source.lower() else f"env:{source}"
active_sources.add(source_name)
pconfig = PROVIDER_REGISTRY.get(provider)
changed |= _upsert_entry(
entries,
provider,
@@ -1170,6 +1171,7 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
"source": source_name,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": token,
"base_url": pconfig.inference_base_url if pconfig else "",
"label": source,
},
)
+39 -80
View File
@@ -600,6 +600,45 @@ class KawaiiSpinner:
"analyzing", "computing", "synthesizing", "formulating", "brainstorming",
]
@classmethod
def get_waiting_faces(cls) -> list:
"""Return waiting faces from the active skin, falling back to KAWAII_WAITING."""
try:
skin = _get_skin()
if skin:
faces = skin.spinner.get("waiting_faces", [])
if faces:
return faces
except Exception:
pass
return cls.KAWAII_WAITING
@classmethod
def get_thinking_faces(cls) -> list:
"""Return thinking faces from the active skin, falling back to KAWAII_THINKING."""
try:
skin = _get_skin()
if skin:
faces = skin.spinner.get("thinking_faces", [])
if faces:
return faces
except Exception:
pass
return cls.KAWAII_THINKING
@classmethod
def get_thinking_verbs(cls) -> list:
"""Return thinking verbs from the active skin, falling back to THINKING_VERBS."""
try:
skin = _get_skin()
if skin:
verbs = skin.spinner.get("thinking_verbs", [])
if verbs:
return verbs
except Exception:
pass
return cls.THINKING_VERBS
def __init__(self, message: str = "", spinner_type: str = 'dots', print_fn=None):
self.message = message
self.spinner_frames = self.SPINNERS.get(spinner_type, self.SPINNERS['dots'])
@@ -954,84 +993,4 @@ def get_cute_tool_message(
# Honcho session line (one-liner with clickable OSC 8 hyperlink)
# =========================================================================
_DIM = "\033[2m"
_SKY_BLUE = "\033[38;5;117m"
_ANSI_RESET = "\033[0m"
# =========================================================================
# Context pressure display (CLI user-facing warnings)
# =========================================================================
# ANSI color codes for context pressure tiers
_CYAN = "\033[36m"
_YELLOW = "\033[33m"
_BOLD = "\033[1m"
_DIM_ANSI = "\033[2m"
# Bar characters
_BAR_FILLED = ""
_BAR_EMPTY = ""
_BAR_WIDTH = 20
def format_context_pressure(
compaction_progress: float,
threshold_tokens: int,
threshold_percent: float,
compression_enabled: bool = True,
) -> str:
"""Build a formatted context pressure line for CLI display.
The bar and percentage show progress toward the compaction threshold,
NOT the raw context window. 100% = compaction fires.
Args:
compaction_progress: How close to compaction (0.01.0, 1.0 = fires).
threshold_tokens: Compaction threshold in tokens.
threshold_percent: Compaction threshold as a fraction of context window.
compression_enabled: Whether auto-compression is active.
"""
pct_int = min(int(compaction_progress * 100), 100)
filled = min(int(compaction_progress * _BAR_WIDTH), _BAR_WIDTH)
bar = _BAR_FILLED * filled + _BAR_EMPTY * (_BAR_WIDTH - filled)
threshold_k = f"{threshold_tokens // 1000}k" if threshold_tokens >= 1000 else str(threshold_tokens)
threshold_pct_int = int(threshold_percent * 100)
color = f"{_BOLD}{_YELLOW}"
icon = ""
if compression_enabled:
hint = "compaction approaching"
else:
hint = "no auto-compaction"
return (
f" {color}{icon} context {bar} {pct_int}% to compaction{_ANSI_RESET}"
f" {_DIM_ANSI}{threshold_k} threshold ({threshold_pct_int}%) · {hint}{_ANSI_RESET}"
)
def format_context_pressure_gateway(
compaction_progress: float,
threshold_percent: float,
compression_enabled: bool = True,
) -> str:
"""Build a plain-text context pressure notification for messaging platforms.
No ANSI — just Unicode and plain text suitable for Telegram/Discord/etc.
The percentage shows progress toward the compaction threshold.
"""
pct_int = min(int(compaction_progress * 100), 100)
filled = min(int(compaction_progress * _BAR_WIDTH), _BAR_WIDTH)
bar = _BAR_FILLED * filled + _BAR_EMPTY * (_BAR_WIDTH - filled)
threshold_pct_int = int(threshold_percent * 100)
icon = "⚠️"
if compression_enabled:
hint = f"Context compaction approaching (threshold: {threshold_pct_int}% of window)."
else:
hint = "Auto-compaction is disabled — context may be truncated."
return f"{icon} Context: {bar} {pct_int}% to compaction\n{hint}"
+9
View File
@@ -112,6 +112,10 @@ _RATE_LIMIT_PATTERNS = [
"please retry after",
"resource_exhausted",
"rate increased too quickly", # Alibaba/DashScope throttling
# AWS Bedrock throttling
"throttlingexception",
"too many concurrent requests",
"servicequotaexceededexception",
]
# Usage-limit patterns that need disambiguation (could be billing OR rate_limit)
@@ -171,6 +175,11 @@ _CONTEXT_OVERFLOW_PATTERNS = [
# Chinese error messages (some providers return these)
"超过最大长度",
"上下文长度",
# AWS Bedrock Converse API error patterns
"input is too long",
"max input token",
"input token",
"exceeds the maximum number of input tokens",
]
# Model not found patterns
+764
View File
@@ -0,0 +1,764 @@
"""OpenAI-compatible facade that talks to Google's Cloud Code Assist backend.
This adapter lets Hermes use the ``google-gemini-cli`` provider as if it were
a standard OpenAI-shaped chat completion endpoint, while the underlying HTTP
traffic goes to ``cloudcode-pa.googleapis.com/v1internal:{generateContent,
streamGenerateContent}`` with a Bearer access token obtained via OAuth PKCE.
Architecture
------------
- ``GeminiCloudCodeClient`` exposes ``.chat.completions.create(**kwargs)``
mirroring the subset of the OpenAI SDK that ``run_agent.py`` uses.
- Incoming OpenAI ``messages[]`` / ``tools[]`` / ``tool_choice`` are translated
to Gemini's native ``contents[]`` / ``tools[].functionDeclarations`` /
``toolConfig`` / ``systemInstruction`` shape.
- The request body is wrapped ``{project, model, user_prompt_id, request}``
per Code Assist API expectations.
- Responses (``candidates[].content.parts[]``) are converted back to
OpenAI ``choices[0].message`` shape with ``content`` + ``tool_calls``.
- Streaming uses SSE (``?alt=sse``) and yields OpenAI-shaped delta chunks.
Attribution
-----------
Translation semantics follow jenslys/opencode-gemini-auth (MIT) and the public
Gemini API docs. Request envelope shape
(``{project, model, user_prompt_id, request}``) is documented nowhere; it is
reverse-engineered from the opencode-gemini-auth and clawdbot implementations.
"""
from __future__ import annotations
import json
import logging
import os
import time
import uuid
from types import SimpleNamespace
from typing import Any, Dict, Iterator, List, Optional
import httpx
from agent import google_oauth
from agent.google_code_assist import (
CODE_ASSIST_ENDPOINT,
FREE_TIER_ID,
CodeAssistError,
ProjectContext,
resolve_project_context,
)
logger = logging.getLogger(__name__)
# =============================================================================
# Request translation: OpenAI → Gemini
# =============================================================================
_ROLE_MAP_OPENAI_TO_GEMINI = {
"user": "user",
"assistant": "model",
"system": "user", # handled separately via systemInstruction
"tool": "user", # functionResponse is wrapped in a user-role turn
"function": "user",
}
def _coerce_content_to_text(content: Any) -> str:
"""OpenAI content may be str or a list of parts; reduce to plain text."""
if content is None:
return ""
if isinstance(content, str):
return content
if isinstance(content, list):
pieces: List[str] = []
for p in content:
if isinstance(p, str):
pieces.append(p)
elif isinstance(p, dict):
if p.get("type") == "text" and isinstance(p.get("text"), str):
pieces.append(p["text"])
# Multimodal (image_url, etc.) — stub for now; log and skip
elif p.get("type") in ("image_url", "input_audio"):
logger.debug("Dropping multimodal part (not yet supported): %s", p.get("type"))
return "\n".join(pieces)
return str(content)
def _translate_tool_call_to_gemini(tool_call: Dict[str, Any]) -> Dict[str, Any]:
"""OpenAI tool_call -> Gemini functionCall part."""
fn = tool_call.get("function") or {}
args_raw = fn.get("arguments", "")
try:
args = json.loads(args_raw) if isinstance(args_raw, str) and args_raw else {}
except json.JSONDecodeError:
args = {"_raw": args_raw}
if not isinstance(args, dict):
args = {"_value": args}
return {
"functionCall": {
"name": fn.get("name") or "",
"args": args,
},
# Sentinel signature — matches opencode-gemini-auth's approach.
# Without this, Code Assist rejects function calls that originated
# outside its own chain.
"thoughtSignature": "skip_thought_signature_validator",
}
def _translate_tool_result_to_gemini(message: Dict[str, Any]) -> Dict[str, Any]:
"""OpenAI tool-role message -> Gemini functionResponse part.
The function name isn't in the OpenAI tool message directly; it must be
passed via the assistant message that issued the call. For simplicity we
look up ``name`` on the message (OpenAI SDK copies it there) or on the
``tool_call_id`` cross-reference.
"""
name = str(message.get("name") or message.get("tool_call_id") or "tool")
content = _coerce_content_to_text(message.get("content"))
# Gemini expects the response as a dict under `response`. We wrap plain
# text in {"output": "..."}.
try:
parsed = json.loads(content) if content.strip().startswith(("{", "[")) else None
except json.JSONDecodeError:
parsed = None
response = parsed if isinstance(parsed, dict) else {"output": content}
return {
"functionResponse": {
"name": name,
"response": response,
},
}
def _build_gemini_contents(
messages: List[Dict[str, Any]],
) -> tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]]:
"""Convert OpenAI messages[] to Gemini contents[] + systemInstruction."""
system_text_parts: List[str] = []
contents: List[Dict[str, Any]] = []
for msg in messages:
if not isinstance(msg, dict):
continue
role = str(msg.get("role") or "user")
if role == "system":
system_text_parts.append(_coerce_content_to_text(msg.get("content")))
continue
# Tool result message — emit a user-role turn with functionResponse
if role == "tool" or role == "function":
contents.append({
"role": "user",
"parts": [_translate_tool_result_to_gemini(msg)],
})
continue
gemini_role = _ROLE_MAP_OPENAI_TO_GEMINI.get(role, "user")
parts: List[Dict[str, Any]] = []
text = _coerce_content_to_text(msg.get("content"))
if text:
parts.append({"text": text})
# Assistant messages can carry tool_calls
tool_calls = msg.get("tool_calls") or []
if isinstance(tool_calls, list):
for tc in tool_calls:
if isinstance(tc, dict):
parts.append(_translate_tool_call_to_gemini(tc))
if not parts:
# Gemini rejects empty parts; skip the turn entirely
continue
contents.append({"role": gemini_role, "parts": parts})
system_instruction: Optional[Dict[str, Any]] = None
joined_system = "\n".join(p for p in system_text_parts if p).strip()
if joined_system:
system_instruction = {
"role": "system",
"parts": [{"text": joined_system}],
}
return contents, system_instruction
def _translate_tools_to_gemini(tools: Any) -> List[Dict[str, Any]]:
"""OpenAI tools[] -> Gemini tools[].functionDeclarations[]."""
if not isinstance(tools, list) or not tools:
return []
declarations: List[Dict[str, Any]] = []
for t in tools:
if not isinstance(t, dict):
continue
fn = t.get("function") or {}
if not isinstance(fn, dict):
continue
name = fn.get("name")
if not name:
continue
decl = {"name": str(name)}
if fn.get("description"):
decl["description"] = str(fn["description"])
params = fn.get("parameters")
if isinstance(params, dict):
decl["parameters"] = params
declarations.append(decl)
if not declarations:
return []
return [{"functionDeclarations": declarations}]
def _translate_tool_choice_to_gemini(tool_choice: Any) -> Optional[Dict[str, Any]]:
"""OpenAI tool_choice -> Gemini toolConfig.functionCallingConfig."""
if tool_choice is None:
return None
if isinstance(tool_choice, str):
if tool_choice == "auto":
return {"functionCallingConfig": {"mode": "AUTO"}}
if tool_choice == "required":
return {"functionCallingConfig": {"mode": "ANY"}}
if tool_choice == "none":
return {"functionCallingConfig": {"mode": "NONE"}}
if isinstance(tool_choice, dict):
fn = tool_choice.get("function") or {}
name = fn.get("name")
if name:
return {
"functionCallingConfig": {
"mode": "ANY",
"allowedFunctionNames": [str(name)],
},
}
return None
def _normalize_thinking_config(config: Any) -> Optional[Dict[str, Any]]:
"""Accept thinkingBudget / thinkingLevel / includeThoughts (+ snake_case)."""
if not isinstance(config, dict) or not config:
return None
budget = config.get("thinkingBudget", config.get("thinking_budget"))
level = config.get("thinkingLevel", config.get("thinking_level"))
include = config.get("includeThoughts", config.get("include_thoughts"))
normalized: Dict[str, Any] = {}
if isinstance(budget, (int, float)):
normalized["thinkingBudget"] = int(budget)
if isinstance(level, str) and level.strip():
normalized["thinkingLevel"] = level.strip().lower()
if isinstance(include, bool):
normalized["includeThoughts"] = include
return normalized or None
def build_gemini_request(
*,
messages: List[Dict[str, Any]],
tools: Any = None,
tool_choice: Any = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
top_p: Optional[float] = None,
stop: Any = None,
thinking_config: Any = None,
) -> Dict[str, Any]:
"""Build the inner Gemini request body (goes inside ``request`` wrapper)."""
contents, system_instruction = _build_gemini_contents(messages)
body: Dict[str, Any] = {"contents": contents}
if system_instruction is not None:
body["systemInstruction"] = system_instruction
gemini_tools = _translate_tools_to_gemini(tools)
if gemini_tools:
body["tools"] = gemini_tools
tool_cfg = _translate_tool_choice_to_gemini(tool_choice)
if tool_cfg is not None:
body["toolConfig"] = tool_cfg
generation_config: Dict[str, Any] = {}
if isinstance(temperature, (int, float)):
generation_config["temperature"] = float(temperature)
if isinstance(max_tokens, int) and max_tokens > 0:
generation_config["maxOutputTokens"] = max_tokens
if isinstance(top_p, (int, float)):
generation_config["topP"] = float(top_p)
if isinstance(stop, str) and stop:
generation_config["stopSequences"] = [stop]
elif isinstance(stop, list) and stop:
generation_config["stopSequences"] = [str(s) for s in stop if s]
normalized_thinking = _normalize_thinking_config(thinking_config)
if normalized_thinking:
generation_config["thinkingConfig"] = normalized_thinking
if generation_config:
body["generationConfig"] = generation_config
return body
def wrap_code_assist_request(
*,
project_id: str,
model: str,
inner_request: Dict[str, Any],
user_prompt_id: Optional[str] = None,
) -> Dict[str, Any]:
"""Wrap the inner Gemini request in the Code Assist envelope."""
return {
"project": project_id,
"model": model,
"user_prompt_id": user_prompt_id or str(uuid.uuid4()),
"request": inner_request,
}
# =============================================================================
# Response translation: Gemini → OpenAI
# =============================================================================
def _translate_gemini_response(
resp: Dict[str, Any],
model: str,
) -> SimpleNamespace:
"""Non-streaming Gemini response -> OpenAI-shaped SimpleNamespace.
Code Assist wraps the actual Gemini response inside ``response``, so we
unwrap it first if present.
"""
inner = resp.get("response") if isinstance(resp.get("response"), dict) else resp
candidates = inner.get("candidates") or []
if not isinstance(candidates, list) or not candidates:
return _empty_response(model)
cand = candidates[0]
content_obj = cand.get("content") if isinstance(cand, dict) else {}
parts = content_obj.get("parts") if isinstance(content_obj, dict) else []
text_pieces: List[str] = []
reasoning_pieces: List[str] = []
tool_calls: List[SimpleNamespace] = []
for i, part in enumerate(parts or []):
if not isinstance(part, dict):
continue
# Thought parts are model's internal reasoning — surface as reasoning,
# don't mix into content.
if part.get("thought") is True:
if isinstance(part.get("text"), str):
reasoning_pieces.append(part["text"])
continue
if isinstance(part.get("text"), str):
text_pieces.append(part["text"])
continue
fc = part.get("functionCall")
if isinstance(fc, dict) and fc.get("name"):
try:
args_str = json.dumps(fc.get("args") or {}, ensure_ascii=False)
except (TypeError, ValueError):
args_str = "{}"
tool_calls.append(SimpleNamespace(
id=f"call_{uuid.uuid4().hex[:12]}",
type="function",
index=i,
function=SimpleNamespace(name=str(fc["name"]), arguments=args_str),
))
finish_reason = "tool_calls" if tool_calls else _map_gemini_finish_reason(
str(cand.get("finishReason") or "")
)
usage_meta = inner.get("usageMetadata") or {}
usage = SimpleNamespace(
prompt_tokens=int(usage_meta.get("promptTokenCount") or 0),
completion_tokens=int(usage_meta.get("candidatesTokenCount") or 0),
total_tokens=int(usage_meta.get("totalTokenCount") or 0),
prompt_tokens_details=SimpleNamespace(
cached_tokens=int(usage_meta.get("cachedContentTokenCount") or 0),
),
)
message = SimpleNamespace(
role="assistant",
content="".join(text_pieces) if text_pieces else None,
tool_calls=tool_calls or None,
reasoning="".join(reasoning_pieces) or None,
reasoning_content="".join(reasoning_pieces) or None,
reasoning_details=None,
)
choice = SimpleNamespace(
index=0,
message=message,
finish_reason=finish_reason,
)
return SimpleNamespace(
id=f"chatcmpl-{uuid.uuid4().hex[:12]}",
object="chat.completion",
created=int(time.time()),
model=model,
choices=[choice],
usage=usage,
)
def _empty_response(model: str) -> SimpleNamespace:
message = SimpleNamespace(
role="assistant", content="", tool_calls=None,
reasoning=None, reasoning_content=None, reasoning_details=None,
)
choice = SimpleNamespace(index=0, message=message, finish_reason="stop")
usage = SimpleNamespace(
prompt_tokens=0, completion_tokens=0, total_tokens=0,
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
return SimpleNamespace(
id=f"chatcmpl-{uuid.uuid4().hex[:12]}",
object="chat.completion",
created=int(time.time()),
model=model,
choices=[choice],
usage=usage,
)
def _map_gemini_finish_reason(reason: str) -> str:
mapping = {
"STOP": "stop",
"MAX_TOKENS": "length",
"SAFETY": "content_filter",
"RECITATION": "content_filter",
"OTHER": "stop",
}
return mapping.get(reason.upper(), "stop")
# =============================================================================
# Streaming SSE iterator
# =============================================================================
class _GeminiStreamChunk(SimpleNamespace):
"""Mimics an OpenAI ChatCompletionChunk with .choices[0].delta."""
pass
def _make_stream_chunk(
*,
model: str,
content: str = "",
tool_call_delta: Optional[Dict[str, Any]] = None,
finish_reason: Optional[str] = None,
reasoning: str = "",
) -> _GeminiStreamChunk:
delta_kwargs: Dict[str, Any] = {"role": "assistant"}
if content:
delta_kwargs["content"] = content
if tool_call_delta is not None:
delta_kwargs["tool_calls"] = [SimpleNamespace(
index=tool_call_delta.get("index", 0),
id=tool_call_delta.get("id") or f"call_{uuid.uuid4().hex[:12]}",
type="function",
function=SimpleNamespace(
name=tool_call_delta.get("name") or "",
arguments=tool_call_delta.get("arguments") or "",
),
)]
if reasoning:
delta_kwargs["reasoning"] = reasoning
delta_kwargs["reasoning_content"] = reasoning
delta = SimpleNamespace(**delta_kwargs)
choice = SimpleNamespace(index=0, delta=delta, finish_reason=finish_reason)
return _GeminiStreamChunk(
id=f"chatcmpl-{uuid.uuid4().hex[:12]}",
object="chat.completion.chunk",
created=int(time.time()),
model=model,
choices=[choice],
usage=None,
)
def _iter_sse_events(response: httpx.Response) -> Iterator[Dict[str, Any]]:
"""Parse Server-Sent Events from an httpx streaming response."""
buffer = ""
for chunk in response.iter_text():
if not chunk:
continue
buffer += chunk
while "\n" in buffer:
line, buffer = buffer.split("\n", 1)
line = line.rstrip("\r")
if not line:
continue
if line.startswith("data: "):
data = line[6:]
if data == "[DONE]":
return
try:
yield json.loads(data)
except json.JSONDecodeError:
logger.debug("Non-JSON SSE line: %s", data[:200])
def _translate_stream_event(
event: Dict[str, Any],
model: str,
tool_call_indices: Dict[str, int],
) -> List[_GeminiStreamChunk]:
"""Unwrap Code Assist envelope and emit OpenAI-shaped chunk(s)."""
inner = event.get("response") if isinstance(event.get("response"), dict) else event
candidates = inner.get("candidates") or []
if not candidates:
return []
cand = candidates[0]
if not isinstance(cand, dict):
return []
chunks: List[_GeminiStreamChunk] = []
content = cand.get("content") or {}
parts = content.get("parts") if isinstance(content, dict) else []
for part in parts or []:
if not isinstance(part, dict):
continue
if part.get("thought") is True and isinstance(part.get("text"), str):
chunks.append(_make_stream_chunk(
model=model, reasoning=part["text"],
))
continue
if isinstance(part.get("text"), str) and part["text"]:
chunks.append(_make_stream_chunk(model=model, content=part["text"]))
fc = part.get("functionCall")
if isinstance(fc, dict) and fc.get("name"):
name = str(fc["name"])
idx = tool_call_indices.setdefault(name, len(tool_call_indices))
try:
args_str = json.dumps(fc.get("args") or {}, ensure_ascii=False)
except (TypeError, ValueError):
args_str = "{}"
chunks.append(_make_stream_chunk(
model=model,
tool_call_delta={
"index": idx,
"name": name,
"arguments": args_str,
},
))
finish_reason_raw = str(cand.get("finishReason") or "")
if finish_reason_raw:
mapped = _map_gemini_finish_reason(finish_reason_raw)
if tool_call_indices:
mapped = "tool_calls"
chunks.append(_make_stream_chunk(model=model, finish_reason=mapped))
return chunks
# =============================================================================
# GeminiCloudCodeClient — OpenAI-compatible facade
# =============================================================================
MARKER_BASE_URL = "cloudcode-pa://google"
class _GeminiChatCompletions:
def __init__(self, client: "GeminiCloudCodeClient"):
self._client = client
def create(self, **kwargs: Any) -> Any:
return self._client._create_chat_completion(**kwargs)
class _GeminiChatNamespace:
def __init__(self, client: "GeminiCloudCodeClient"):
self.completions = _GeminiChatCompletions(client)
class GeminiCloudCodeClient:
"""Minimal OpenAI-SDK-compatible facade over Code Assist v1internal."""
def __init__(
self,
*,
api_key: Optional[str] = None,
base_url: Optional[str] = None,
default_headers: Optional[Dict[str, str]] = None,
project_id: str = "",
**_: Any,
):
# `api_key` here is a dummy — real auth is the OAuth access token
# fetched on every call via agent.google_oauth.get_valid_access_token().
# We accept the kwarg for openai.OpenAI interface parity.
self.api_key = api_key or "google-oauth"
self.base_url = base_url or MARKER_BASE_URL
self._default_headers = dict(default_headers or {})
self._configured_project_id = project_id
self._project_context: Optional[ProjectContext] = None
self._project_context_lock = False # simple single-thread guard
self.chat = _GeminiChatNamespace(self)
self.is_closed = False
self._http = httpx.Client(timeout=httpx.Timeout(connect=15.0, read=600.0, write=30.0, pool=30.0))
def close(self) -> None:
self.is_closed = True
try:
self._http.close()
except Exception:
pass
# Implement the OpenAI SDK's context-manager-ish closure check
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.close()
def _ensure_project_context(self, access_token: str, model: str) -> ProjectContext:
"""Lazily resolve and cache the project context for this client."""
if self._project_context is not None:
return self._project_context
env_project = google_oauth.resolve_project_id_from_env()
creds = google_oauth.load_credentials()
stored_project = creds.project_id if creds else ""
# Prefer what's already baked into the creds
if stored_project:
self._project_context = ProjectContext(
project_id=stored_project,
managed_project_id=creds.managed_project_id if creds else "",
tier_id="",
source="stored",
)
return self._project_context
ctx = resolve_project_context(
access_token,
configured_project_id=self._configured_project_id,
env_project_id=env_project,
user_agent_model=model,
)
# Persist discovered project back to the creds file so the next
# session doesn't re-run the discovery.
if ctx.project_id or ctx.managed_project_id:
google_oauth.update_project_ids(
project_id=ctx.project_id,
managed_project_id=ctx.managed_project_id,
)
self._project_context = ctx
return ctx
def _create_chat_completion(
self,
*,
model: str = "gemini-2.5-flash",
messages: Optional[List[Dict[str, Any]]] = None,
stream: bool = False,
tools: Any = None,
tool_choice: Any = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
top_p: Optional[float] = None,
stop: Any = None,
extra_body: Optional[Dict[str, Any]] = None,
timeout: Any = None,
**_: Any,
) -> Any:
access_token = google_oauth.get_valid_access_token()
ctx = self._ensure_project_context(access_token, model)
thinking_config = None
if isinstance(extra_body, dict):
thinking_config = extra_body.get("thinking_config") or extra_body.get("thinkingConfig")
inner = build_gemini_request(
messages=messages or [],
tools=tools,
tool_choice=tool_choice,
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,
stop=stop,
thinking_config=thinking_config,
)
wrapped = wrap_code_assist_request(
project_id=ctx.project_id,
model=model,
inner_request=inner,
)
headers = {
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {access_token}",
"User-Agent": "hermes-agent (gemini-cli-compat)",
"X-Goog-Api-Client": "gl-python/hermes",
"x-activity-request-id": str(uuid.uuid4()),
}
headers.update(self._default_headers)
if stream:
return self._stream_completion(model=model, wrapped=wrapped, headers=headers)
url = f"{CODE_ASSIST_ENDPOINT}/v1internal:generateContent"
response = self._http.post(url, json=wrapped, headers=headers)
if response.status_code != 200:
raise _gemini_http_error(response)
try:
payload = response.json()
except ValueError as exc:
raise CodeAssistError(
f"Invalid JSON from Code Assist: {exc}",
code="code_assist_invalid_json",
) from exc
return _translate_gemini_response(payload, model=model)
def _stream_completion(
self,
*,
model: str,
wrapped: Dict[str, Any],
headers: Dict[str, str],
) -> Iterator[_GeminiStreamChunk]:
"""Generator that yields OpenAI-shaped streaming chunks."""
url = f"{CODE_ASSIST_ENDPOINT}/v1internal:streamGenerateContent?alt=sse"
stream_headers = dict(headers)
stream_headers["Accept"] = "text/event-stream"
def _generator() -> Iterator[_GeminiStreamChunk]:
try:
with self._http.stream("POST", url, json=wrapped, headers=stream_headers) as response:
if response.status_code != 200:
# Materialize error body for better diagnostics
response.read()
raise _gemini_http_error(response)
tool_call_indices: Dict[str, int] = {}
for event in _iter_sse_events(response):
for chunk in _translate_stream_event(event, model, tool_call_indices):
yield chunk
except httpx.HTTPError as exc:
raise CodeAssistError(
f"Streaming request failed: {exc}",
code="code_assist_stream_error",
) from exc
return _generator()
def _gemini_http_error(response: httpx.Response) -> CodeAssistError:
status = response.status_code
try:
body = response.text[:500]
except Exception:
body = ""
# Let run_agent's retry logic see auth errors as rotatable via `api_key`
code = f"code_assist_http_{status}"
if status == 401:
code = "code_assist_unauthorized"
elif status == 429:
code = "code_assist_rate_limited"
return CodeAssistError(
f"Code Assist returned HTTP {status}: {body}",
code=code,
)
+417
View File
@@ -0,0 +1,417 @@
"""Google Code Assist API client — project discovery, onboarding, quota.
The Code Assist API powers Google's official gemini-cli. It sits at
``cloudcode-pa.googleapis.com`` and provides:
- Free tier access (generous daily quota) for personal Google accounts
- Paid tier access via GCP projects with billing / Workspace / Standard / Enterprise
This module handles the control-plane dance needed before inference:
1. ``load_code_assist()`` — probe the user's account to learn what tier they're on
and whether a ``cloudaicompanionProject`` is already assigned.
2. ``onboard_user()`` — if the user hasn't been onboarded yet (new account, fresh
free tier, etc.), call this with the chosen tier + project id. Supports LRO
polling for slow provisioning.
3. ``retrieve_user_quota()`` — fetch the ``buckets[]`` array showing remaining
quota per model, used by the ``/gquota`` slash command.
VPC-SC handling: enterprise accounts under a VPC Service Controls perimeter
will get ``SECURITY_POLICY_VIOLATED`` on ``load_code_assist``. We catch this
and force the account to ``standard-tier`` so the call chain still succeeds.
Derived from opencode-gemini-auth (MIT) and clawdbot/extensions/google. The
request/response shapes are specific to Google's internal Code Assist API,
documented nowhere public — we copy them from the reference implementations.
"""
from __future__ import annotations
import json
import logging
import os
import time
import urllib.error
import urllib.parse
import urllib.request
import uuid
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
# =============================================================================
# Constants
# =============================================================================
CODE_ASSIST_ENDPOINT = "https://cloudcode-pa.googleapis.com"
# Fallback endpoints tried when prod returns an error during project discovery
FALLBACK_ENDPOINTS = [
"https://daily-cloudcode-pa.sandbox.googleapis.com",
"https://autopush-cloudcode-pa.sandbox.googleapis.com",
]
# Tier identifiers that Google's API uses
FREE_TIER_ID = "free-tier"
LEGACY_TIER_ID = "legacy-tier"
STANDARD_TIER_ID = "standard-tier"
# Default HTTP headers matching gemini-cli's fingerprint.
# Google may reject unrecognized User-Agents on these internal endpoints.
_GEMINI_CLI_USER_AGENT = "google-api-nodejs-client/9.15.1 (gzip)"
_X_GOOG_API_CLIENT = "gl-node/24.0.0"
_DEFAULT_REQUEST_TIMEOUT = 30.0
_ONBOARDING_POLL_ATTEMPTS = 12
_ONBOARDING_POLL_INTERVAL_SECONDS = 5.0
class CodeAssistError(RuntimeError):
def __init__(self, message: str, *, code: str = "code_assist_error") -> None:
super().__init__(message)
self.code = code
class ProjectIdRequiredError(CodeAssistError):
def __init__(self, message: str = "GCP project id required for this tier") -> None:
super().__init__(message, code="code_assist_project_id_required")
# =============================================================================
# HTTP primitive (auth via Bearer token passed per-call)
# =============================================================================
def _build_headers(access_token: str, *, user_agent_model: str = "") -> Dict[str, str]:
ua = _GEMINI_CLI_USER_AGENT
if user_agent_model:
ua = f"{ua} model/{user_agent_model}"
return {
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {access_token}",
"User-Agent": ua,
"X-Goog-Api-Client": _X_GOOG_API_CLIENT,
"x-activity-request-id": str(uuid.uuid4()),
}
def _client_metadata() -> Dict[str, str]:
"""Match Google's gemini-cli exactly — unrecognized metadata may be rejected."""
return {
"ideType": "IDE_UNSPECIFIED",
"platform": "PLATFORM_UNSPECIFIED",
"pluginType": "GEMINI",
}
def _post_json(
url: str,
body: Dict[str, Any],
access_token: str,
*,
timeout: float = _DEFAULT_REQUEST_TIMEOUT,
user_agent_model: str = "",
) -> Dict[str, Any]:
data = json.dumps(body).encode("utf-8")
request = urllib.request.Request(
url, data=data, method="POST",
headers=_build_headers(access_token, user_agent_model=user_agent_model),
)
try:
with urllib.request.urlopen(request, timeout=timeout) as response:
raw = response.read().decode("utf-8", errors="replace")
return json.loads(raw) if raw else {}
except urllib.error.HTTPError as exc:
detail = ""
try:
detail = exc.read().decode("utf-8", errors="replace")
except Exception:
pass
# Special case: VPC-SC violation should be distinguishable
if _is_vpc_sc_violation(detail):
raise CodeAssistError(
f"VPC-SC policy violation: {detail}",
code="code_assist_vpc_sc",
) from exc
raise CodeAssistError(
f"Code Assist HTTP {exc.code}: {detail or exc.reason}",
code=f"code_assist_http_{exc.code}",
) from exc
except urllib.error.URLError as exc:
raise CodeAssistError(
f"Code Assist request failed: {exc}",
code="code_assist_network_error",
) from exc
def _is_vpc_sc_violation(body: str) -> bool:
"""Detect a VPC Service Controls violation from a response body."""
if not body:
return False
try:
parsed = json.loads(body)
except (json.JSONDecodeError, ValueError):
return "SECURITY_POLICY_VIOLATED" in body
# Walk the nested error structure Google uses
error = parsed.get("error") if isinstance(parsed, dict) else None
if not isinstance(error, dict):
return False
details = error.get("details") or []
if isinstance(details, list):
for item in details:
if isinstance(item, dict):
reason = item.get("reason") or ""
if reason == "SECURITY_POLICY_VIOLATED":
return True
msg = str(error.get("message", ""))
return "SECURITY_POLICY_VIOLATED" in msg
# =============================================================================
# load_code_assist — discovers current tier + assigned project
# =============================================================================
@dataclass
class CodeAssistProjectInfo:
"""Result from ``load_code_assist``."""
current_tier_id: str = ""
cloudaicompanion_project: str = "" # Google-managed project (free tier)
allowed_tiers: List[str] = field(default_factory=list)
raw: Dict[str, Any] = field(default_factory=dict)
def load_code_assist(
access_token: str,
*,
project_id: str = "",
user_agent_model: str = "",
) -> CodeAssistProjectInfo:
"""Call ``POST /v1internal:loadCodeAssist`` with prod → sandbox fallback.
Returns whatever tier + project info Google reports. On VPC-SC violations,
returns a synthetic ``standard-tier`` result so the chain can continue.
"""
body: Dict[str, Any] = {
"metadata": {
"duetProject": project_id,
**_client_metadata(),
},
}
if project_id:
body["cloudaicompanionProject"] = project_id
endpoints = [CODE_ASSIST_ENDPOINT] + FALLBACK_ENDPOINTS
last_err: Optional[Exception] = None
for endpoint in endpoints:
url = f"{endpoint}/v1internal:loadCodeAssist"
try:
resp = _post_json(url, body, access_token, user_agent_model=user_agent_model)
return _parse_load_response(resp)
except CodeAssistError as exc:
if exc.code == "code_assist_vpc_sc":
logger.info("VPC-SC violation on %s — defaulting to standard-tier", endpoint)
return CodeAssistProjectInfo(
current_tier_id=STANDARD_TIER_ID,
cloudaicompanion_project=project_id,
)
last_err = exc
logger.warning("loadCodeAssist failed on %s: %s", endpoint, exc)
continue
if last_err:
raise last_err
return CodeAssistProjectInfo()
def _parse_load_response(resp: Dict[str, Any]) -> CodeAssistProjectInfo:
current_tier = resp.get("currentTier") or {}
tier_id = str(current_tier.get("id") or "") if isinstance(current_tier, dict) else ""
project = str(resp.get("cloudaicompanionProject") or "")
allowed = resp.get("allowedTiers") or []
allowed_ids: List[str] = []
if isinstance(allowed, list):
for t in allowed:
if isinstance(t, dict):
tid = str(t.get("id") or "")
if tid:
allowed_ids.append(tid)
return CodeAssistProjectInfo(
current_tier_id=tier_id,
cloudaicompanion_project=project,
allowed_tiers=allowed_ids,
raw=resp,
)
# =============================================================================
# onboard_user — provisions a new user on a tier (with LRO polling)
# =============================================================================
def onboard_user(
access_token: str,
*,
tier_id: str,
project_id: str = "",
user_agent_model: str = "",
) -> Dict[str, Any]:
"""Call ``POST /v1internal:onboardUser`` to provision the user.
For paid tiers, ``project_id`` is REQUIRED (raises ProjectIdRequiredError).
For free tiers, ``project_id`` is optional — Google will assign one.
Returns the final operation response. Polls ``/v1internal/<name>`` for up
to ``_ONBOARDING_POLL_ATTEMPTS`` × ``_ONBOARDING_POLL_INTERVAL_SECONDS``
(default: 12 × 5s = 1 min).
"""
if tier_id != FREE_TIER_ID and tier_id != LEGACY_TIER_ID and not project_id:
raise ProjectIdRequiredError(
f"Tier {tier_id!r} requires a GCP project id. "
"Set HERMES_GEMINI_PROJECT_ID or GOOGLE_CLOUD_PROJECT."
)
body: Dict[str, Any] = {
"tierId": tier_id,
"metadata": _client_metadata(),
}
if project_id:
body["cloudaicompanionProject"] = project_id
endpoint = CODE_ASSIST_ENDPOINT
url = f"{endpoint}/v1internal:onboardUser"
resp = _post_json(url, body, access_token, user_agent_model=user_agent_model)
# Poll if LRO (long-running operation)
if not resp.get("done"):
op_name = resp.get("name", "")
if not op_name:
return resp
for attempt in range(_ONBOARDING_POLL_ATTEMPTS):
time.sleep(_ONBOARDING_POLL_INTERVAL_SECONDS)
poll_url = f"{endpoint}/v1internal/{op_name}"
try:
poll_resp = _post_json(poll_url, {}, access_token, user_agent_model=user_agent_model)
except CodeAssistError as exc:
logger.warning("Onboarding poll attempt %d failed: %s", attempt + 1, exc)
continue
if poll_resp.get("done"):
return poll_resp
logger.warning("Onboarding did not complete within %d attempts", _ONBOARDING_POLL_ATTEMPTS)
return resp
# =============================================================================
# retrieve_user_quota — for /gquota
# =============================================================================
@dataclass
class QuotaBucket:
model_id: str
token_type: str = ""
remaining_fraction: float = 0.0
reset_time_iso: str = ""
raw: Dict[str, Any] = field(default_factory=dict)
def retrieve_user_quota(
access_token: str,
*,
project_id: str = "",
user_agent_model: str = "",
) -> List[QuotaBucket]:
"""Call ``POST /v1internal:retrieveUserQuota`` and parse ``buckets[]``."""
body: Dict[str, Any] = {}
if project_id:
body["project"] = project_id
url = f"{CODE_ASSIST_ENDPOINT}/v1internal:retrieveUserQuota"
resp = _post_json(url, body, access_token, user_agent_model=user_agent_model)
raw_buckets = resp.get("buckets") or []
buckets: List[QuotaBucket] = []
if not isinstance(raw_buckets, list):
return buckets
for b in raw_buckets:
if not isinstance(b, dict):
continue
buckets.append(QuotaBucket(
model_id=str(b.get("modelId") or ""),
token_type=str(b.get("tokenType") or ""),
remaining_fraction=float(b.get("remainingFraction") or 0.0),
reset_time_iso=str(b.get("resetTime") or ""),
raw=b,
))
return buckets
# =============================================================================
# Project context resolution
# =============================================================================
@dataclass
class ProjectContext:
"""Resolved state for a given OAuth session."""
project_id: str = "" # effective project id sent on requests
managed_project_id: str = "" # Google-assigned project (free tier)
tier_id: str = ""
source: str = "" # "env", "config", "discovered", "onboarded"
def resolve_project_context(
access_token: str,
*,
configured_project_id: str = "",
env_project_id: str = "",
user_agent_model: str = "",
) -> ProjectContext:
"""Figure out what project id + tier to use for requests.
Priority:
1. If configured_project_id or env_project_id is set, use that directly
and short-circuit (no discovery needed).
2. Otherwise call loadCodeAssist to see what Google says.
3. If no tier assigned yet, onboard the user (free tier default).
"""
# Short-circuit: caller provided a project id
if configured_project_id:
return ProjectContext(
project_id=configured_project_id,
tier_id=STANDARD_TIER_ID, # assume paid since they specified one
source="config",
)
if env_project_id:
return ProjectContext(
project_id=env_project_id,
tier_id=STANDARD_TIER_ID,
source="env",
)
# Discover via loadCodeAssist
info = load_code_assist(access_token, user_agent_model=user_agent_model)
effective_project = info.cloudaicompanion_project
tier = info.current_tier_id
if not tier:
# User hasn't been onboarded — provision them on free tier
onboard_resp = onboard_user(
access_token,
tier_id=FREE_TIER_ID,
project_id="",
user_agent_model=user_agent_model,
)
# Re-parse from the onboard response
response_body = onboard_resp.get("response") or {}
if isinstance(response_body, dict):
effective_project = (
effective_project
or str(response_body.get("cloudaicompanionProject") or "")
)
tier = FREE_TIER_ID
source = "onboarded"
else:
source = "discovered"
return ProjectContext(
project_id=effective_project,
managed_project_id=effective_project if tier == FREE_TIER_ID else "",
tier_id=tier,
source=source,
)
File diff suppressed because it is too large Load Diff
+5 -26
View File
@@ -634,13 +634,7 @@ class InsightsEngine:
lines.append(f" Sessions: {o['total_sessions']:<12} Messages: {o['total_messages']:,}")
lines.append(f" Tool calls: {o['total_tool_calls']:<12,} User messages: {o['user_messages']:,}")
lines.append(f" Input tokens: {o['total_input_tokens']:<12,} Output tokens: {o['total_output_tokens']:,}")
cache_total = o.get("total_cache_read_tokens", 0) + o.get("total_cache_write_tokens", 0)
if cache_total > 0:
lines.append(f" Cache read: {o['total_cache_read_tokens']:<12,} Cache write: {o['total_cache_write_tokens']:,}")
cost_str = f"${o['estimated_cost']:.2f}"
if o.get("models_without_pricing"):
cost_str += " *"
lines.append(f" Total tokens: {o['total_tokens']:<12,} Est. cost: {cost_str}")
lines.append(f" Total tokens: {o['total_tokens']:,}")
if o["total_hours"] > 0:
lines.append(f" Active time: ~{_format_duration(o['total_hours'] * 3600):<11} Avg session: ~{_format_duration(o['avg_session_duration'])}")
lines.append(f" Avg msgs/session: {o['avg_messages_per_session']:.1f}")
@@ -650,16 +644,10 @@ class InsightsEngine:
if report["models"]:
lines.append(" 🤖 Models Used")
lines.append(" " + "" * 56)
lines.append(f" {'Model':<30} {'Sessions':>8} {'Tokens':>12} {'Cost':>8}")
lines.append(f" {'Model':<30} {'Sessions':>8} {'Tokens':>12}")
for m in report["models"]:
model_name = m["model"][:28]
if m.get("has_pricing"):
cost_cell = f"${m['cost']:>6.2f}"
else:
cost_cell = " N/A"
lines.append(f" {model_name:<30} {m['sessions']:>8} {m['total_tokens']:>12,} {cost_cell}")
if o.get("models_without_pricing"):
lines.append(" * Cost N/A for custom/self-hosted models")
lines.append(f" {model_name:<30} {m['sessions']:>8} {m['total_tokens']:>12,}")
lines.append("")
# Platform breakdown
@@ -739,15 +727,7 @@ class InsightsEngine:
# Overview
lines.append(f"**Sessions:** {o['total_sessions']} | **Messages:** {o['total_messages']:,} | **Tool calls:** {o['total_tool_calls']:,}")
cache_total = o.get("total_cache_read_tokens", 0) + o.get("total_cache_write_tokens", 0)
if cache_total > 0:
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,} / cache: {cache_total:,})")
else:
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,})")
cost_note = ""
if o.get("models_without_pricing"):
cost_note = " _(excludes custom/self-hosted models)_"
lines.append(f"**Est. cost:** ${o['estimated_cost']:.2f}{cost_note}")
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,})")
if o["total_hours"] > 0:
lines.append(f"**Active time:** ~{_format_duration(o['total_hours'] * 3600)} | **Avg session:** ~{_format_duration(o['avg_session_duration'])}")
lines.append("")
@@ -756,8 +736,7 @@ class InsightsEngine:
if report["models"]:
lines.append("**🤖 Models:**")
for m in report["models"][:5]:
cost_str = f"${m['cost']:.2f}" if m.get("has_pricing") else "N/A"
lines.append(f" {m['model'][:25]}{m['sessions']} sessions, {m['total_tokens']:,} tokens, {cost_str}")
lines.append(f" {m['model'][:25]}{m['sessions']} sessions, {m['total_tokens']:,} tokens")
lines.append("")
# Platforms (if multi-platform)
+14 -2
View File
@@ -28,6 +28,7 @@ Usage in run_agent.py:
from __future__ import annotations
import json
import logging
import re
from typing import Any, Dict, List, Optional
@@ -43,11 +44,22 @@ logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
_FENCE_TAG_RE = re.compile(r'</?\s*memory-context\s*>', re.IGNORECASE)
_INTERNAL_CONTEXT_RE = re.compile(
r'<\s*memory-context\s*>[\s\S]*?</\s*memory-context\s*>',
re.IGNORECASE,
)
_INTERNAL_NOTE_RE = re.compile(
r'\[System note:\s*The following is recalled memory context,\s*NOT new user input\.\s*Treat as informational background data\.\]\s*',
re.IGNORECASE,
)
def sanitize_context(text: str) -> str:
"""Strip fence-escape sequences from provider output."""
return _FENCE_TAG_RE.sub('', text)
"""Strip fence tags, injected context blocks, and system notes from provider output."""
text = _INTERNAL_CONTEXT_RE.sub('', text)
text = _INTERNAL_NOTE_RE.sub('', text)
text = _FENCE_TAG_RE.sub('', text)
return text
def build_memory_context_block(raw_context: str) -> str:
+15 -1
View File
@@ -23,7 +23,7 @@ logger = logging.getLogger(__name__)
# are preserved so the full model name reaches cache lookups and server queries.
_PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "anthropic", "deepseek",
"gemini", "ollama-cloud", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"qwen-oauth",
"xiaomi",
@@ -33,6 +33,7 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"google", "google-gemini", "google-ai-studio",
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "kimi-cn", "moonshot-cn", "claude", "deep-seek",
"ollama",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"mimo", "xiaomi-mimo",
"arcee-ai", "arceeai",
@@ -101,6 +102,8 @@ DEFAULT_CONTEXT_LENGTHS = {
# fuzzy-match collisions (e.g. "anthropic/claude-sonnet-4" is a
# substring of "anthropic/claude-sonnet-4.6").
# OpenRouter-prefixed models resolve via OpenRouter live API or models.dev.
"claude-opus-4-7": 1000000,
"claude-opus-4.7": 1000000,
"claude-opus-4-6": 1000000,
"claude-sonnet-4-6": 1000000,
"claude-opus-4.6": 1000000,
@@ -239,6 +242,7 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.x.ai": "xai",
"api.xiaomimimo.com": "xiaomi",
"xiaomimimo.com": "xiaomi",
"ollama.com": "ollama-cloud",
}
@@ -1012,6 +1016,16 @@ def get_model_context_length(
if ctx:
return ctx
# 4b. AWS Bedrock — use static context length table.
# Bedrock's ListFoundationModels doesn't expose context window sizes,
# so we maintain a curated table in bedrock_adapter.py.
if provider == "bedrock" or (base_url and "bedrock-runtime" in base_url):
try:
from agent.bedrock_adapter import get_bedrock_context_length
return get_bedrock_context_length(model)
except ImportError:
pass # boto3 not installed — fall through to generic resolution
# 5. Provider-aware lookups (before generic OpenRouter cache)
# These are provider-specific and take priority over the generic OR cache,
# since the same model can have different context limits per provider
+1
View File
@@ -169,6 +169,7 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"togetherai": "togetherai",
"perplexity": "perplexity",
"cohere": "cohere",
"ollama-cloud": "ollama-cloud",
}
# Reverse mapping: models.dev → Hermes (built lazily)
+182
View File
@@ -0,0 +1,182 @@
"""Cross-session rate limit guard for Nous Portal.
Writes rate limit state to a shared file so all sessions (CLI, gateway,
cron, auxiliary) can check whether Nous Portal is currently rate-limited
before making requests. Prevents retry amplification when RPH is tapped.
Each 429 from Nous triggers up to 9 API calls per conversation turn
(3 SDK retries x 3 Hermes retries), and every one of those calls counts
against RPH. By recording the rate limit state on first 429 and checking
it before subsequent attempts, we eliminate the amplification effect.
"""
from __future__ import annotations
import json
import logging
import os
import tempfile
import time
from typing import Any, Mapping, Optional
logger = logging.getLogger(__name__)
_STATE_SUBDIR = "rate_limits"
_STATE_FILENAME = "nous.json"
def _state_path() -> str:
"""Return the path to the Nous rate limit state file."""
try:
from hermes_constants import get_hermes_home
base = get_hermes_home()
except ImportError:
base = os.path.join(os.path.expanduser("~"), ".hermes")
return os.path.join(base, _STATE_SUBDIR, _STATE_FILENAME)
def _parse_reset_seconds(headers: Optional[Mapping[str, str]]) -> Optional[float]:
"""Extract the best available reset-time estimate from response headers.
Priority:
1. x-ratelimit-reset-requests-1h (hourly RPH window most useful)
2. x-ratelimit-reset-requests (per-minute RPM window)
3. retry-after (generic HTTP header)
Returns seconds-from-now, or None if no usable header found.
"""
if not headers:
return None
lowered = {k.lower(): v for k, v in headers.items()}
for key in (
"x-ratelimit-reset-requests-1h",
"x-ratelimit-reset-requests",
"retry-after",
):
raw = lowered.get(key)
if raw is not None:
try:
val = float(raw)
if val > 0:
return val
except (TypeError, ValueError):
pass
return None
def record_nous_rate_limit(
*,
headers: Optional[Mapping[str, str]] = None,
error_context: Optional[dict[str, Any]] = None,
default_cooldown: float = 300.0,
) -> None:
"""Record that Nous Portal is rate-limited.
Parses the reset time from response headers or error context.
Falls back to ``default_cooldown`` (5 minutes) if no reset info
is available. Writes to a shared file that all sessions can read.
Args:
headers: HTTP response headers from the 429 error.
error_context: Structured error context from _extract_api_error_context().
default_cooldown: Fallback cooldown in seconds when no header data.
"""
now = time.time()
reset_at = None
# Try headers first (most accurate)
header_seconds = _parse_reset_seconds(headers)
if header_seconds is not None:
reset_at = now + header_seconds
# Try error_context reset_at (from body parsing)
if reset_at is None and isinstance(error_context, dict):
ctx_reset = error_context.get("reset_at")
if isinstance(ctx_reset, (int, float)) and ctx_reset > now:
reset_at = float(ctx_reset)
# Default cooldown
if reset_at is None:
reset_at = now + default_cooldown
path = _state_path()
try:
state_dir = os.path.dirname(path)
os.makedirs(state_dir, exist_ok=True)
state = {
"reset_at": reset_at,
"recorded_at": now,
"reset_seconds": reset_at - now,
}
# Atomic write: write to temp file + rename
fd, tmp_path = tempfile.mkstemp(dir=state_dir, suffix=".tmp")
try:
with os.fdopen(fd, "w") as f:
json.dump(state, f)
os.replace(tmp_path, path)
except Exception:
# Clean up temp file on failure
try:
os.unlink(tmp_path)
except OSError:
pass
raise
logger.info(
"Nous rate limit recorded: resets in %.0fs (at %.0f)",
reset_at - now, reset_at,
)
except Exception as exc:
logger.debug("Failed to write Nous rate limit state: %s", exc)
def nous_rate_limit_remaining() -> Optional[float]:
"""Check if Nous Portal is currently rate-limited.
Returns:
Seconds remaining until reset, or None if not rate-limited.
"""
path = _state_path()
try:
with open(path) as f:
state = json.load(f)
reset_at = state.get("reset_at", 0)
remaining = reset_at - time.time()
if remaining > 0:
return remaining
# Expired — clean up
try:
os.unlink(path)
except OSError:
pass
return None
except (FileNotFoundError, json.JSONDecodeError, KeyError, TypeError):
return None
def clear_nous_rate_limit() -> None:
"""Clear the rate limit state (e.g., after a successful Nous request)."""
try:
os.unlink(_state_path())
except FileNotFoundError:
pass
except OSError as exc:
logger.debug("Failed to clear Nous rate limit state: %s", exc)
def format_remaining(seconds: float) -> str:
"""Format seconds remaining into human-readable duration."""
s = max(0, int(seconds))
if s < 60:
return f"{s}s"
if s < 3600:
m, sec = divmod(s, 60)
return f"{m}m {sec}s" if sec else f"{m}m"
h, remainder = divmod(s, 3600)
m = remainder // 60
return f"{h}h {m}m" if m else f"{h}h"
+3 -1
View File
@@ -295,7 +295,9 @@ PLATFORM_HINTS = {
),
"telegram": (
"You are on a text messaging communication platform, Telegram. "
"Please do not use markdown as it does not render. "
"Standard markdown is automatically converted to Telegram format. "
"Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, "
"`inline code`, ```code blocks```, [links](url), and ## headers. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. Images "
"(.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice "
+17
View File
@@ -93,6 +93,17 @@ _DB_CONNSTR_RE = re.compile(
re.IGNORECASE,
)
# JWT tokens: header.payload[.signature] — always start with "eyJ" (base64 for "{")
# Matches 1-part (header only), 2-part (header.payload), and full 3-part JWTs.
_JWT_RE = re.compile(
r"eyJ[A-Za-z0-9_-]{10,}" # Header (always starts with eyJ)
r"(?:\.[A-Za-z0-9_=-]{4,}){0,2}" # Optional payload and/or signature
)
# Discord user/role mentions: <@123456789012345678> or <@!123456789012345678>
# Snowflake IDs are 17-20 digit integers that resolve to specific Discord accounts.
_DISCORD_MENTION_RE = re.compile(r"<@!?(\d{17,20})>")
# E.164 phone numbers: +<country><number>, 7-15 digits
# Negative lookahead prevents matching hex strings or identifiers
_SIGNAL_PHONE_RE = re.compile(r"(\+[1-9]\d{6,14})(?![A-Za-z0-9])")
@@ -159,6 +170,12 @@ def redact_sensitive_text(text: str) -> str:
# Database connection string passwords
text = _DB_CONNSTR_RE.sub(lambda m: f"{m.group(1)}***{m.group(3)}", text)
# JWT tokens (eyJ... — base64-encoded JSON headers)
text = _JWT_RE.sub(lambda m: _mask_token(m.group(0)), text)
# Discord user/role mentions (<@snowflake_id>)
text = _DISCORD_MENTION_RE.sub(lambda m: f"<@{'!' if '!' in m.group(0) else ''}***>", text)
# E.164 phone numbers (Signal, WhatsApp)
def _redact_phone(m):
phone = m.group(1)
+8 -1
View File
@@ -72,7 +72,14 @@ def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tu
skill_name = str(loaded_skill.get("name") or normalized)
skill_path = str(loaded_skill.get("path") or "")
skill_dir = None
if skill_path:
# Prefer the absolute skill_dir returned by skill_view() — this is
# correct for both local and external skills. Fall back to the old
# SKILLS_DIR-relative reconstruction only when skill_dir is absent
# (e.g. legacy skill_view responses).
abs_skill_dir = loaded_skill.get("skill_dir")
if abs_skill_dir:
skill_dir = Path(abs_skill_dir)
elif skill_path:
try:
skill_dir = SKILLS_DIR / Path(skill_path).parent
except Exception:
+74
View File
@@ -284,6 +284,80 @@ _OFFICIAL_DOCS_PRICING: Dict[tuple[str, str], PricingEntry] = {
source_url="https://ai.google.dev/pricing",
pricing_version="google-pricing-2026-03-16",
),
# AWS Bedrock — pricing per the Bedrock pricing page.
# Bedrock charges the same per-token rates as the model provider but
# through AWS billing. These are the on-demand prices (no commitment).
# Source: https://aws.amazon.com/bedrock/pricing/
(
"bedrock",
"anthropic.claude-opus-4-6",
): PricingEntry(
input_cost_per_million=Decimal("15.00"),
output_cost_per_million=Decimal("75.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"anthropic.claude-sonnet-4-6",
): PricingEntry(
input_cost_per_million=Decimal("3.00"),
output_cost_per_million=Decimal("15.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"anthropic.claude-sonnet-4-5",
): PricingEntry(
input_cost_per_million=Decimal("3.00"),
output_cost_per_million=Decimal("15.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"anthropic.claude-haiku-4-5",
): PricingEntry(
input_cost_per_million=Decimal("0.80"),
output_cost_per_million=Decimal("4.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"amazon.nova-pro",
): PricingEntry(
input_cost_per_million=Decimal("0.80"),
output_cost_per_million=Decimal("3.20"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"amazon.nova-lite",
): PricingEntry(
input_cost_per_million=Decimal("0.06"),
output_cost_per_million=Decimal("0.24"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"amazon.nova-micro",
): PricingEntry(
input_cost_per_million=Decimal("0.035"),
output_cost_per_million=Decimal("0.14"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
}
+4 -1
View File
@@ -561,7 +561,10 @@ class BatchRunner:
provider_sort (str): Sort providers by price/throughput/latency (optional)
max_tokens (int): Maximum tokens for model responses (optional, uses model default if not set)
reasoning_config (Dict): OpenRouter reasoning config override (e.g. {"effort": "none"} to disable thinking)
prefill_messages (List[Dict]): Messages to prepend as prefilled conversation context (few-shot priming)
prefill_messages (List[Dict]): Messages to prepend as prefilled conversation context (few-shot priming).
NOTE: Anthropic Sonnet 4.6+ and Opus 4.6+ reject a trailing assistant-role prefill
(400 error). For those models use output_config.format or structured-output
schemas instead. Safe here for user-role priming and for older Claude / non-Claude models.
max_samples (int): Only process the first N samples from the dataset (optional, processes all if not set)
"""
self.dataset_file = Path(dataset_file)
+15 -7
View File
@@ -16,7 +16,7 @@ model:
# "nous" - Nous Portal OAuth (requires: hermes login)
# "nous-api" - Nous Portal API key (requires: NOUS_API_KEY)
# "anthropic" - Direct Anthropic API (requires: ANTHROPIC_API_KEY)
# "openai-codex" - OpenAI Codex (requires: hermes login --provider openai-codex)
# "openai-codex" - OpenAI Codex (requires: hermes auth)
# "copilot" - GitHub Copilot / GitHub Models (requires: GITHUB_TOKEN)
# "gemini" - Use Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
@@ -26,6 +26,7 @@ model:
# "huggingface" - Hugging Face Inference (requires: HF_TOKEN)
# "xiaomi" - Xiaomi MiMo (requires: XIAOMI_API_KEY)
# "arcee" - Arcee AI Trinity models (requires: ARCEEAI_API_KEY)
# "ollama-cloud" - Ollama Cloud (requires: OLLAMA_API_KEY — https://ollama.com/settings)
# "kilocode" - KiloCode gateway (requires: KILOCODE_API_KEY)
# "ai-gateway" - Vercel AI Gateway (requires: AI_GATEWAY_API_KEY)
#
@@ -37,12 +38,6 @@ model:
# base_url: "http://localhost:1234/v1"
# No API key needed — local servers typically ignore auth.
#
# For Ollama Cloud (https://ollama.com/pricing):
# provider: "custom"
# base_url: "https://ollama.com/v1"
# Set OLLAMA_API_KEY in .env — automatically picked up when base_url
# points to ollama.com.
#
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
@@ -337,6 +332,7 @@ compression:
# "openrouter" - Force OpenRouter (requires OPENROUTER_API_KEY)
# "nous" - Force Nous Portal (requires: hermes login)
# "gemini" - Force Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "ollama-cloud" - Ollama Cloud (requires: OLLAMA_API_KEY)
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# Uses gpt-5.3-codex which supports vision.
# "main" - Use your custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY).
@@ -564,6 +560,18 @@ platform_toolsets:
homeassistant: [hermes-homeassistant]
qqbot: [hermes-qqbot]
# =============================================================================
# Gateway Platform Settings
# =============================================================================
# Optional per-platform messaging settings.
# Platform-specific knobs live under `extra`.
#
# platforms:
# telegram:
# reply_to_mode: "first" # off | first | all
# extra:
# disable_link_previews: false # Set true to suppress Telegram URL previews in bot messages
# ─────────────────────────────────────────────────────────────────────────────
# Available toolsets (use these names in platform_toolsets or the toolsets list)
#
+293 -57
View File
@@ -401,14 +401,27 @@ def load_cli_config() -> Dict[str, Any]:
# filesystem is directly accessible. For ALL remote/container backends
# (ssh, docker, modal, singularity), the host path doesn't exist on the
# target -- remove the key so terminal_tool.py uses its per-backend default.
if terminal_config.get("cwd") in (".", "auto", "cwd"):
effective_backend = terminal_config.get("env_type", "local")
if effective_backend == "local":
terminal_config["cwd"] = os.getcwd()
defaults["terminal"]["cwd"] = terminal_config["cwd"]
#
# GUARD: If TERMINAL_CWD is already set to a real absolute path (by the
# gateway's config bridge earlier in the process), don't clobber it.
# This prevents a lazy import of cli.py during gateway runtime from
# rewriting TERMINAL_CWD to the service's working directory.
# See issue #10817.
_CWD_PLACEHOLDERS = (".", "auto", "cwd")
if terminal_config.get("cwd") in _CWD_PLACEHOLDERS:
_existing_cwd = os.environ.get("TERMINAL_CWD", "")
if _existing_cwd and _existing_cwd not in _CWD_PLACEHOLDERS and os.path.isabs(_existing_cwd):
# Gateway (or earlier startup) already resolved a real path — keep it
terminal_config["cwd"] = _existing_cwd
defaults["terminal"]["cwd"] = _existing_cwd
else:
# Remove so TERMINAL_CWD stays unset → tool picks backend default
terminal_config.pop("cwd", None)
effective_backend = terminal_config.get("env_type", "local")
if effective_backend == "local":
terminal_config["cwd"] = os.getcwd()
defaults["terminal"]["cwd"] = terminal_config["cwd"]
else:
# Remove so TERMINAL_CWD stays unset → tool picks backend default
terminal_config.pop("cwd", None)
env_mappings = {
"env_type": "TERMINAL_ENV",
@@ -2013,7 +2026,17 @@ class HermesCLI:
"""Return the visible height for the spinner/status text line above the status bar."""
if not getattr(self, "_spinner_text", ""):
return 0
return 0 if self._use_minimal_tui_chrome(width=width) else 1
if self._use_minimal_tui_chrome(width=width):
return 0
# Compute how many lines the spinner text needs when wrapped.
# The rendered text is " {emoji} {label} ({elapsed})" — about
# len(_spinner_text) + 16 chars for indent + timer suffix.
width = width or self._get_tui_terminal_width()
if width and width > 10:
import math
text_len = len(self._spinner_text) + 16 # indent + timer
return max(1, math.ceil(text_len / width))
return 1
def _get_voice_status_fragments(self, width: Optional[int] = None):
"""Return the voice status bar fragments for the interactive TUI."""
@@ -3897,23 +3920,14 @@ class HermesCLI:
def _handle_profile_command(self):
"""Display active profile name and home directory."""
from hermes_constants import get_hermes_home, display_hermes_home
from hermes_constants import display_hermes_home
from hermes_cli.profiles import get_active_profile_name
home = get_hermes_home()
display = display_hermes_home()
profiles_parent = Path.home() / ".hermes" / "profiles"
try:
rel = home.relative_to(profiles_parent)
profile_name = str(rel).split("/")[0]
except ValueError:
profile_name = None
profile_name = get_active_profile_name()
print()
if profile_name:
print(f" Profile: {profile_name}")
else:
print(" Profile: default")
print(f" Profile: {profile_name}")
print(f" Home: {display}")
print()
@@ -4100,6 +4114,8 @@ class HermesCLI:
self.agent.flush_memories(self.conversation_history)
except (Exception, KeyboardInterrupt):
pass
# Trigger memory extraction on the old session before session_id rotates.
self.agent.commit_memory_session(self.conversation_history)
self._notify_session_boundary("on_session_finalize")
elif self.agent:
# First session or empty history — still finalize the old session
@@ -4908,6 +4924,52 @@ class HermesCLI:
return "\n".join(p for p in parts if p)
return str(value)
def _handle_gquota_command(self, cmd_original: str) -> None:
"""Show Google Gemini Code Assist quota usage for the current OAuth account."""
try:
from agent.google_oauth import get_valid_access_token, GoogleOAuthError, load_credentials
from agent.google_code_assist import retrieve_user_quota, CodeAssistError
except ImportError as exc:
self.console.print(f" [red]Gemini modules unavailable: {exc}[/]")
return
try:
access_token = get_valid_access_token()
except GoogleOAuthError as exc:
self.console.print(f" [yellow]{exc}[/]")
self.console.print(" Run [bold]/model[/] and pick 'Google Gemini (OAuth)' to sign in.")
return
creds = load_credentials()
project_id = (creds.project_id if creds else "") or ""
try:
buckets = retrieve_user_quota(access_token, project_id=project_id)
except CodeAssistError as exc:
self.console.print(f" [red]Quota lookup failed:[/] {exc}")
return
if not buckets:
self.console.print(" [dim]No quota buckets reported (account may be on legacy/unmetered tier).[/]")
return
# Sort for stable display, group by model
buckets.sort(key=lambda b: (b.model_id, b.token_type))
self.console.print()
self.console.print(f" [bold]Gemini Code Assist quota[/] (project: {project_id or '(auto / free-tier)'})")
self.console.print()
for b in buckets:
pct = max(0.0, min(1.0, b.remaining_fraction))
width = 20
filled = int(round(pct * width))
bar = "" * filled + "" * (width - filled)
pct_str = f"{int(pct * 100):3d}%"
header = b.model_id
if b.token_type:
header += f" [{b.token_type}]"
self.console.print(f" {header:40s} {bar} {pct_str}")
self.console.print()
def _handle_personality_command(self, cmd: str):
"""Handle the /personality command to set predefined personalities."""
parts = cmd.split(maxsplit=1)
@@ -5417,6 +5479,8 @@ class HermesCLI:
self._handle_model_switch(cmd_original)
elif canonical == "provider":
self._show_model_and_providers()
elif canonical == "gquota":
self._handle_gquota_command(cmd_original)
elif canonical == "personality":
# Use original case (handler lowercases the personality name itself)
@@ -5491,7 +5555,8 @@ class HermesCLI:
version = f" v{p['version']}" if p["version"] else ""
tools = f"{p['tools']} tools" if p["tools"] else ""
hooks = f"{p['hooks']} hooks" if p["hooks"] else ""
parts = [x for x in [tools, hooks] if x]
commands = f"{p['commands']} commands" if p.get("commands") else ""
parts = [x for x in [tools, hooks, commands] if x]
detail = f" ({', '.join(parts)})" if parts else ""
error = f"{p['error']}" if p["error"] else ""
print(f" {status} {p['name']}{version}{detail}{error}")
@@ -6203,13 +6268,21 @@ class HermesCLI:
def _toggle_yolo(self):
"""Toggle YOLO mode — skip all dangerous command approval prompts."""
import os
from hermes_cli.colors import Colors as _Colors
current = bool(os.environ.get("HERMES_YOLO_MODE"))
if current:
os.environ.pop("HERMES_YOLO_MODE", None)
self.console.print(" ⚠ YOLO mode [bold red]OFF[/] — dangerous commands will require approval.")
_cprint(
f" ⚠ YOLO mode {_Colors.BOLD}{_Colors.RED}OFF{_Colors.RESET}"
" — dangerous commands will require approval."
)
else:
os.environ["HERMES_YOLO_MODE"] = "1"
self.console.print(" ⚡ YOLO mode [bold green]ON[/] — all commands auto-approved. Use with caution.")
_cprint(
f" ⚡ YOLO mode {_Colors.BOLD}{_Colors.GREEN}ON{_Colors.RESET}"
" — all commands auto-approved. Use with caution."
)
def _handle_reasoning_command(self, cmd: str):
"""Handle /reasoning — manage effort level and display toggle.
@@ -7386,7 +7459,15 @@ class HermesCLI:
self._invalidate()
def _get_approval_display_fragments(self):
"""Render the dangerous-command approval panel for the prompt_toolkit UI."""
"""Render the dangerous-command approval panel for the prompt_toolkit UI.
Layout priority: title + command + choices must always render, even if
the terminal is short or the description is long. Description is placed
at the bottom of the panel and gets truncated to fit the remaining row
budget. This prevents HSplit from clipping approve/deny off-screen when
tirith findings produce multi-paragraph descriptions or when the user
runs in a compact terminal pane.
"""
state = self._approval_state
if not state:
return []
@@ -7445,22 +7526,89 @@ class HermesCLI:
box_width = _panel_box_width(title, preview_lines)
inner_text_width = max(8, box_width - 2)
# Pre-wrap the mandatory content — command + choices must always render.
cmd_wrapped = _wrap_panel_text(cmd_display, inner_text_width)
# (choice_index, wrapped_line) so we can re-apply selected styling below
choice_wrapped: list[tuple[int, str]] = []
for i, choice in enumerate(choices):
label = choice_labels.get(choice, choice)
prefix = ' ' if i == selected else ' '
for wrapped in _wrap_panel_text(f"{prefix}{label}", inner_text_width, subsequent_indent=" "):
choice_wrapped.append((i, wrapped))
# Budget vertical space so HSplit never clips the command or choices.
# Panel chrome (full layout with separators):
# top border + title + blank_after_title
# + blank_between_cmd_choices + bottom border = 5 rows.
# In tight terminals we collapse to:
# top border + title + bottom border = 3 rows (no blanks).
#
# reserved_below: rows consumed below the approval panel by the
# spinner/tool-progress line, status bar, input area, separators, and
# prompt symbol. Measured at ~6 rows during live PTY approval prompts;
# budget 6 so we don't overestimate the panel's room.
term_rows = shutil.get_terminal_size((100, 24)).lines
chrome_full = 5
chrome_tight = 3
reserved_below = 6
available = max(0, term_rows - reserved_below)
mandatory_full = chrome_full + len(cmd_wrapped) + len(choice_wrapped)
# If the full-chrome panel doesn't fit, drop the separator blanks.
# This keeps the command and every choice on-screen in compact terminals.
use_compact_chrome = mandatory_full > available
chrome_rows = chrome_tight if use_compact_chrome else chrome_full
# If the command itself is too long to leave room for choices (e.g. user
# hit "view" on a multi-hundred-character command), truncate it so the
# approve/deny buttons still render. Keep at least 1 row of command.
max_cmd_rows = max(1, available - chrome_rows - len(choice_wrapped))
if len(cmd_wrapped) > max_cmd_rows:
keep = max(1, max_cmd_rows - 1) if max_cmd_rows > 1 else 1
cmd_wrapped = cmd_wrapped[:keep] + ["… (command truncated — use /logs or /debug for full text)"]
# Allocate any remaining rows to description. The extra -1 in full mode
# accounts for the blank separator between choices and description.
mandatory_no_desc = chrome_rows + len(cmd_wrapped) + len(choice_wrapped)
desc_sep_cost = 0 if use_compact_chrome else 1
available_for_desc = available - mandatory_no_desc - desc_sep_cost
# Even on huge terminals, cap description height so the panel stays compact.
available_for_desc = max(0, min(available_for_desc, 10))
desc_wrapped = _wrap_panel_text(description, inner_text_width) if description else []
if available_for_desc < 1 or not desc_wrapped:
desc_wrapped = []
elif len(desc_wrapped) > available_for_desc:
keep = max(1, available_for_desc - 1)
desc_wrapped = desc_wrapped[:keep] + ["… (description truncated)"]
# Render: title → command → choices → description (description last so
# any remaining overflow clips from the bottom of the least-critical
# content, never from the command or choices). Use compact chrome (no
# blank separators) when the terminal is tight.
lines = []
lines.append(('class:approval-border', '' + ('' * box_width) + '\n'))
_append_panel_line(lines, 'class:approval-border', 'class:approval-title', title, box_width)
_append_blank_panel_line(lines, 'class:approval-border', box_width)
for wrapped in _wrap_panel_text(description, inner_text_width):
_append_panel_line(lines, 'class:approval-border', 'class:approval-desc', wrapped, box_width)
for wrapped in _wrap_panel_text(cmd_display, inner_text_width):
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:approval-border', box_width)
for wrapped in cmd_wrapped:
_append_panel_line(lines, 'class:approval-border', 'class:approval-cmd', wrapped, box_width)
_append_blank_panel_line(lines, 'class:approval-border', box_width)
for i, choice in enumerate(choices):
label = choice_labels.get(choice, choice)
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:approval-border', box_width)
for i, wrapped in choice_wrapped:
style = 'class:approval-selected' if i == selected else 'class:approval-choice'
prefix = ' ' if i == selected else ' '
for wrapped in _wrap_panel_text(f"{prefix}{label}", inner_text_width, subsequent_indent=" "):
_append_panel_line(lines, 'class:approval-border', style, wrapped, box_width)
_append_blank_panel_line(lines, 'class:approval-border', box_width)
_append_panel_line(lines, 'class:approval-border', style, wrapped, box_width)
if desc_wrapped:
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:approval-border', box_width)
for wrapped in desc_wrapped:
_append_panel_line(lines, 'class:approval-border', 'class:approval-desc', wrapped, box_width)
lines.append(('class:approval-border', '' + ('' * box_width) + '\n'))
return lines
@@ -7756,7 +7904,33 @@ class HermesCLI:
# Fallback for non-interactive mode (e.g., single-query)
agent_thread.join(0.1)
agent_thread.join() # Ensure agent thread completes
# Wait for the agent thread to finish. After an interrupt the
# agent may take a few seconds to clean up (kill subprocess, persist
# session). Poll instead of a blocking join so the process_loop
# stays responsive — if the user sent another interrupt or the
# agent gets stuck, we can break out instead of freezing forever.
if interrupt_msg is not None:
# Interrupt path: poll briefly, then move on. The agent
# thread is daemon — it dies on process exit regardless.
for _wait_tick in range(50): # 50 * 0.2s = 10s max
agent_thread.join(timeout=0.2)
if not agent_thread.is_alive():
break
# Check if user fired ANOTHER interrupt (Ctrl+C sets
# _should_exit which process_loop checks on next pass).
if getattr(self, '_should_exit', False):
break
if agent_thread.is_alive():
logger.warning(
"Agent thread still alive after interrupt "
"(thread %s). Daemon thread will be cleaned up "
"on exit.",
agent_thread.ident,
)
else:
# Normal completion: agent thread should be done already,
# but guard against edge cases.
agent_thread.join(timeout=30)
# Proactively clean up async clients whose event loop is dead.
# The agent thread may have created AsyncOpenAI clients bound
@@ -9049,6 +9223,7 @@ class HermesCLI:
spinner_widget = Window(
content=FormattedTextControl(get_spinner_text),
height=get_spinner_height,
wrap_lines=True,
)
spacer = Window(
@@ -9085,7 +9260,13 @@ class HermesCLI:
lines.append((border_style, "" + (" " * box_width) + "\n"))
def _get_clarify_display():
"""Build styled text for the clarify question/choices panel."""
"""Build styled text for the clarify question/choices panel.
Layout priority: choices + Other option must always render even if
the question is very long. The question is budgeted to leave enough
rows for the choices and trailing chrome; anything over the budget
is truncated with a marker.
"""
state = cli_ref._clarify_state
if not state:
return []
@@ -9106,48 +9287,97 @@ class HermesCLI:
box_width = _panel_box_width("Hermes needs your input", preview_lines)
inner_text_width = max(8, box_width - 2)
# Pre-wrap choices + Other option — these are mandatory.
choice_wrapped: list[tuple[int, str]] = []
if choices:
for i, choice in enumerate(choices):
prefix = ' ' if i == selected and not cli_ref._clarify_freetext else ' '
for wrapped in _wrap_panel_text(f"{prefix}{choice}", inner_text_width, subsequent_indent=" "):
choice_wrapped.append((i, wrapped))
# Trailing Other row(s)
other_idx = len(choices)
if selected == other_idx and not cli_ref._clarify_freetext:
other_label_mand = ' Other (type your answer)'
elif cli_ref._clarify_freetext:
other_label_mand = ' Other (type below)'
else:
other_label_mand = ' Other (type your answer)'
other_wrapped = _wrap_panel_text(other_label_mand, inner_text_width, subsequent_indent=" ")
elif cli_ref._clarify_freetext:
# Freetext-only mode: the guidance line takes the place of choices.
other_wrapped = _wrap_panel_text(
"Type your answer in the prompt below, then press Enter.",
inner_text_width,
)
else:
other_wrapped = []
# Budget the question so mandatory rows always render.
# Chrome layouts:
# full : top border + blank_after_title + blank_after_question
# + blank_before_bottom + bottom border = 5 rows
# tight: top border + bottom border = 2 rows (drop all blanks)
#
# reserved_below matches the approval-panel budget (~6 rows for
# spinner/tool-progress + status + input + separators + prompt).
term_rows = shutil.get_terminal_size((100, 24)).lines
chrome_full = 5
chrome_tight = 2
reserved_below = 6
available = max(0, term_rows - reserved_below)
mandatory_full = chrome_full + len(choice_wrapped) + len(other_wrapped)
use_compact_chrome = mandatory_full > available
chrome_rows = chrome_tight if use_compact_chrome else chrome_full
max_question_rows = max(1, available - chrome_rows - len(choice_wrapped) - len(other_wrapped))
max_question_rows = min(max_question_rows, 12) # soft cap on huge terminals
question_wrapped = _wrap_panel_text(question, inner_text_width)
if len(question_wrapped) > max_question_rows:
keep = max(1, max_question_rows - 1)
question_wrapped = question_wrapped[:keep] + ["… (question truncated)"]
lines = []
# Box top border
lines.append(('class:clarify-border', '╭─ '))
lines.append(('class:clarify-title', 'Hermes needs your input'))
lines.append(('class:clarify-border', ' ' + ('' * max(0, box_width - len("Hermes needs your input") - 3)) + '\n'))
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
# Question text
for wrapped in _wrap_panel_text(question, inner_text_width):
# Question text (bounded)
for wrapped in question_wrapped:
_append_panel_line(lines, 'class:clarify-border', 'class:clarify-question', wrapped, box_width)
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
if cli_ref._clarify_freetext and not choices:
guidance = "Type your answer in the prompt below, then press Enter."
for wrapped in _wrap_panel_text(guidance, inner_text_width):
for wrapped in other_wrapped:
_append_panel_line(lines, 'class:clarify-border', 'class:clarify-choice', wrapped, box_width)
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
if choices:
# Multiple-choice mode: show selectable options
for i, choice in enumerate(choices):
for i, wrapped in choice_wrapped:
style = 'class:clarify-selected' if i == selected and not cli_ref._clarify_freetext else 'class:clarify-choice'
prefix = ' ' if i == selected and not cli_ref._clarify_freetext else ' '
wrapped_lines = _wrap_panel_text(f"{prefix}{choice}", inner_text_width, subsequent_indent=" ")
for wrapped in wrapped_lines:
_append_panel_line(lines, 'class:clarify-border', style, wrapped, box_width)
_append_panel_line(lines, 'class:clarify-border', style, wrapped, box_width)
# "Other" option (5th line, only shown when choices exist)
# "Other" option (trailing row(s), only shown when choices exist)
other_idx = len(choices)
if selected == other_idx and not cli_ref._clarify_freetext:
other_style = 'class:clarify-selected'
other_label = ' Other (type your answer)'
elif cli_ref._clarify_freetext:
other_style = 'class:clarify-active-other'
other_label = ' Other (type below)'
else:
other_style = 'class:clarify-choice'
other_label = ' Other (type your answer)'
for wrapped in _wrap_panel_text(other_label, inner_text_width, subsequent_indent=" "):
for wrapped in other_wrapped:
_append_panel_line(lines, 'class:clarify-border', other_style, wrapped, box_width)
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
if not use_compact_chrome:
_append_blank_panel_line(lines, 'class:clarify-border', box_width)
lines.append(('class:clarify-border', '' + ('' * box_width) + '\n'))
return lines
@@ -10008,6 +10238,11 @@ def main(
):
cli.agent.quiet_mode = True
cli.agent.suppress_status_output = True
# Suppress streaming display callbacks so stdout stays
# machine-readable (no styled "Hermes" box, no tool-gen
# status lines). The response is printed once below.
cli.agent.stream_delta_callback = None
cli.agent.tool_gen_callback = None
result = cli.agent.run_conversation(
user_message=effective_query,
conversation_history=cli.conversation_history,
@@ -10015,7 +10250,8 @@ def main(
response = result.get("final_response", "") if isinstance(result, dict) else str(result)
if response:
print(response)
print(f"\nsession_id: {cli.session_id}")
# Session ID goes to stderr so piped stdout is clean.
print(f"\nsession_id: {cli.session_id}", file=sys.stderr)
# Ensure proper exit code for automation wrappers
sys.exit(1 if isinstance(result, dict) and result.get("failed") else 0)
+6
View File
@@ -501,6 +501,12 @@ def update_job(job_id: str, updates: Dict[str, Any]) -> Optional[Dict[str, Any]]
if schedule_changed:
updated_schedule = updated["schedule"]
# The API may pass schedule as a raw string (e.g. "every 10m")
# instead of a pre-parsed dict. Normalize it the same way
# create_job() does so downstream code can call .get() safely.
if isinstance(updated_schedule, str):
updated_schedule = parse_schedule(updated_schedule)
updated["schedule"] = updated_schedule
updated["schedule_display"] = updates.get(
"schedule_display",
updated_schedule.get("display", updated.get("schedule_display")),
+16 -1
View File
@@ -10,6 +10,7 @@ runs at a time if multiple processes overlap.
import asyncio
import concurrent.futures
import contextvars
import json
import logging
import os
@@ -770,7 +771,11 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
_cron_inactivity_limit = _cron_timeout if _cron_timeout > 0 else None
_POLL_INTERVAL = 5.0
_cron_pool = concurrent.futures.ThreadPoolExecutor(max_workers=1)
_cron_future = _cron_pool.submit(agent.run_conversation, prompt)
# Preserve scheduler-scoped ContextVar state (for example skill-declared
# env passthrough registrations) when the cron run hops into the worker
# thread used for inactivity timeout monitoring.
_cron_context = contextvars.copy_context()
_cron_future = _cron_pool.submit(_cron_context.run, agent.run_conversation, prompt)
_inactivity_timeout = False
try:
if _cron_inactivity_limit is None:
@@ -832,6 +837,9 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
)
final_response = result.get("final_response", "") or ""
# Strip leaked placeholder text that upstream may inject on empty completions.
if final_response.strip() == "(No response generated)":
final_response = ""
# Use a separate variable for log display; keep final_response clean
# for delivery logic (empty response = no delivery).
logged_response = final_response if final_response else "(No response generated)"
@@ -971,6 +979,13 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
delivery_error = str(de)
logger.error("Delivery failed for job %s: %s", job["id"], de)
# Treat empty final_response as a soft failure so last_status
# is not "ok" — the agent ran but produced nothing useful.
# (issue #8585)
if success and not final_response:
success = False
error = "Agent completed but produced empty response (model error, timeout, or misconfiguration)"
mark_job_run(job["id"], success, error, delivery_error=delivery_error)
executed += 1
+18
View File
@@ -554,6 +554,12 @@ def load_gateway_config() -> GatewayConfig:
bridged["mention_patterns"] = platform_cfg["mention_patterns"]
if plat == Platform.DISCORD and "channel_skill_bindings" in platform_cfg:
bridged["channel_skill_bindings"] = platform_cfg["channel_skill_bindings"]
if "channel_prompts" in platform_cfg:
channel_prompts = platform_cfg["channel_prompts"]
if isinstance(channel_prompts, dict):
bridged["channel_prompts"] = {str(k): v for k, v in channel_prompts.items()}
else:
bridged["channel_prompts"] = channel_prompts
if not bridged:
continue
plat_data = platforms_data.setdefault(plat.value, {})
@@ -632,6 +638,18 @@ def load_gateway_config() -> GatewayConfig:
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()
if "proxy_url" in telegram_cfg and not os.getenv("TELEGRAM_PROXY"):
os.environ["TELEGRAM_PROXY"] = str(telegram_cfg["proxy_url"]).strip()
if "disable_link_previews" in telegram_cfg:
plat_data = platforms_data.setdefault(Platform.TELEGRAM.value, {})
if not isinstance(plat_data, dict):
plat_data = {}
platforms_data[Platform.TELEGRAM.value] = plat_data
extra = plat_data.setdefault("extra", {})
if not isinstance(extra, dict):
extra = {}
plat_data["extra"] = extra
extra["disable_link_previews"] = telegram_cfg["disable_link_previews"]
whatsapp_cfg = yaml_cfg.get("whatsapp", {})
if isinstance(whatsapp_cfg, dict):
+3 -3
View File
@@ -902,7 +902,7 @@ class APIServerAdapter(BasePlatformAdapter):
return time.monotonic()
# Stream content chunks as they arrive from the agent
loop = asyncio.get_event_loop()
loop = asyncio.get_running_loop()
while True:
try:
delta = await loop.run_in_executor(None, lambda: stream_q.get(timeout=0.5))
@@ -1241,7 +1241,7 @@ class APIServerAdapter(BasePlatformAdapter):
await _emit_text_delta(it)
# Other types (non-string, non-tuple) are silently dropped.
loop = asyncio.get_event_loop()
loop = asyncio.get_running_loop()
while True:
try:
item = await loop.run_in_executor(None, lambda: stream_q.get(timeout=0.5))
@@ -2004,7 +2004,7 @@ class APIServerAdapter(BasePlatformAdapter):
callers (e.g. the SSE writer) to call ``agent.interrupt()`` from
another thread to stop in-progress LLM calls.
"""
loop = asyncio.get_event_loop()
loop = asyncio.get_running_loop()
def _run():
agent = self._create_agent(
+92 -14
View File
@@ -682,6 +682,10 @@ class MessageEvent:
# Auto-loaded skill(s) for topic/channel bindings (e.g., Telegram DM Topics,
# Discord channel_skill_bindings). A single name or ordered list.
auto_skill: Optional[str | list[str]] = None
# Per-channel ephemeral system prompt (e.g. Discord channel_prompts).
# Applied at API call time and never persisted to transcript history.
channel_prompt: Optional[str] = None
# Internal flag — set for synthetic events (e.g. background process
# completion notifications) that must bypass user authorization checks.
@@ -730,25 +734,56 @@ def merge_pending_message_event(
pending_messages: Dict[str, MessageEvent],
session_key: str,
event: MessageEvent,
*,
merge_text: bool = False,
) -> None:
"""Store or merge a pending event for a session.
Photo bursts/albums often arrive as multiple near-simultaneous PHOTO
events. Merge those into the existing queued event so the next turn sees
the whole burst, while non-photo follow-ups still replace the pending
event normally.
the whole burst.
When ``merge_text`` is enabled, rapid follow-up TEXT events are appended
instead of replacing the pending turn. This is used for Telegram bursty
follow-ups so a multi-part user thought is not silently truncated to only
the last queued fragment.
"""
existing = pending_messages.get(session_key)
if (
existing
and getattr(existing, "message_type", None) == MessageType.PHOTO
and event.message_type == MessageType.PHOTO
):
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = BasePlatformAdapter._merge_caption(existing.text, event.text)
return
if existing:
existing_is_photo = getattr(existing, "message_type", None) == MessageType.PHOTO
incoming_is_photo = event.message_type == MessageType.PHOTO
existing_has_media = bool(existing.media_urls)
incoming_has_media = bool(event.media_urls)
if existing_is_photo and incoming_is_photo:
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = BasePlatformAdapter._merge_caption(existing.text, event.text)
return
if existing_has_media or incoming_has_media:
if incoming_has_media:
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
if existing.text:
existing.text = BasePlatformAdapter._merge_caption(existing.text, event.text)
else:
existing.text = event.text
if existing_is_photo or incoming_is_photo:
existing.message_type = MessageType.PHOTO
return
if (
merge_text
and getattr(existing, "message_type", None) == MessageType.TEXT
and event.message_type == MessageType.TEXT
):
if event.text:
existing.text = f"{existing.text}\n{event.text}" if existing.text else event.text
return
pending_messages[session_key] = event
@@ -776,6 +811,36 @@ _RETRYABLE_ERROR_PATTERNS = (
MessageHandler = Callable[[MessageEvent], Awaitable[Optional[str]]]
def resolve_channel_prompt(
config_extra: dict,
channel_id: str,
parent_id: str | None = None,
) -> str | None:
"""Resolve a per-channel ephemeral prompt from platform config.
Looks up ``channel_prompts`` in the adapter's ``config.extra`` dict.
Prefers an exact match on *channel_id*; falls back to *parent_id*
(useful for forum threads / child channels inheriting a parent prompt).
Returns the prompt string, or None if no match is found. Blank/whitespace-
only prompts are treated as absent.
"""
prompts = config_extra.get("channel_prompts") or {}
if not isinstance(prompts, dict):
return None
for key in (channel_id, parent_id):
if not key:
continue
prompt = prompts.get(key)
if prompt is None:
continue
prompt = str(prompt).strip()
if prompt:
return prompt
return None
class BasePlatformAdapter(ABC):
"""
Base class for platform adapters.
@@ -805,6 +870,11 @@ class BasePlatformAdapter(ABC):
# Gateway shutdown cancels these so an old gateway instance doesn't keep
# working on a task after --replace or manual restarts.
self._background_tasks: set[asyncio.Task] = set()
# One-shot callbacks to fire after the main response is delivered.
# Keyed by session_key. GatewayRunner uses this to defer
# background-review notifications ("💾 Skill created") until the
# primary reply has been sent.
self._post_delivery_callbacks: Dict[str, Callable] = {}
self._expected_cancelled_tasks: set[asyncio.Task] = set()
self._busy_session_handler: Optional[Callable[[MessageEvent, str], Awaitable[bool]]] = None
# Chats where auto-TTS on voice input is disabled (set by /voice off)
@@ -1221,7 +1291,7 @@ class BasePlatformAdapter(ABC):
path = path[1:-1].strip()
path = path.lstrip("`\"'").rstrip("`\"',.;:)}]")
if path:
media.append((path, has_voice_tag))
media.append((os.path.expanduser(path), has_voice_tag))
# Remove MEDIA tags from content (including surrounding quote/backtick wrappers)
if media:
@@ -1509,7 +1579,7 @@ class BasePlatformAdapter(ABC):
# session lifecycle and its cleanup races with the running task
# (see PR #4926).
cmd = event.get_command()
if cmd in ("approve", "deny", "status", "stop", "new", "reset", "background", "restart"):
if cmd in ("approve", "deny", "status", "stop", "new", "reset", "background", "restart", "queue", "q"):
logger.debug(
"[%s] Command '/%s' bypassing active-session guard for %s",
self.name, cmd, session_key,
@@ -1860,6 +1930,14 @@ class BasePlatformAdapter(ABC):
except Exception:
pass # Last resort — don't let error reporting crash the handler
finally:
# Fire any one-shot post-delivery callback registered for this
# session (e.g. deferred background-review notifications).
_post_cb = getattr(self, "_post_delivery_callbacks", {}).pop(session_key, None)
if callable(_post_cb):
try:
_post_cb()
except Exception:
pass
# Stop typing indicator
typing_task.cancel()
try:
+37 -23
View File
@@ -54,7 +54,7 @@ logger = logging.getLogger(__name__)
MAX_MESSAGE_LENGTH = 20000
RECONNECT_BACKOFF = [2, 5, 10, 30, 60]
_SESSION_WEBHOOKS_MAX = 500
_DINGTALK_WEBHOOK_RE = re.compile(r'^https://api\.dingtalk\.com/')
_DINGTALK_WEBHOOK_RE = re.compile(r'^https://(?:api|oapi)\.dingtalk\.com/')
def check_dingtalk_requirements() -> bool:
@@ -128,12 +128,12 @@ class DingTalkAdapter(BasePlatformAdapter):
return False
async def _run_stream(self) -> None:
"""Run the blocking stream client with auto-reconnection."""
"""Run the stream client with auto-reconnection."""
backoff_idx = 0
while self._running:
try:
logger.debug("[%s] Starting stream client...", self.name)
await asyncio.to_thread(self._stream_client.start)
await self._stream_client.start()
except asyncio.CancelledError:
return
except Exception as e:
@@ -238,18 +238,35 @@ class DingTalkAdapter(BasePlatformAdapter):
@staticmethod
def _extract_text(message: "ChatbotMessage") -> str:
"""Extract plain text from a DingTalk chatbot message."""
text = getattr(message, "text", None) or ""
if isinstance(text, dict):
content = text.get("content", "").strip()
else:
content = str(text).strip()
"""Extract plain text from a DingTalk chatbot message.
Handles both legacy and current dingtalk-stream SDK payload shapes:
* legacy: ``message.text`` was a dict ``{"content": "..."}``
* >= 0.20: ``message.text`` is a ``TextContent`` dataclass whose
``__str__`` returns ``"TextContent(content=...)"`` never fall
back to ``str(text)`` without extracting ``.content`` first.
* rich text moved from ``message.rich_text`` (list) to
``message.rich_text_content.rich_text_list`` (list of dicts).
"""
text = getattr(message, "text", None)
content = ""
if text is not None:
if isinstance(text, dict):
content = (text.get("content") or "").strip()
elif hasattr(text, "content"):
content = str(text.content or "").strip()
else:
content = str(text).strip()
# Fall back to rich text if present
if not content:
rich_text = getattr(message, "rich_text", None)
if rich_text and isinstance(rich_text, list):
parts = [item["text"] for item in rich_text
rich_list = None
rtc = getattr(message, "rich_text_content", None)
if rtc is not None and hasattr(rtc, "rich_text_list"):
rich_list = rtc.rich_text_list
if rich_list is None:
rich_list = getattr(message, "rich_text", None)
if rich_list and isinstance(rich_list, list):
parts = [item["text"] for item in rich_list
if isinstance(item, dict) and item.get("text")]
content = " ".join(parts).strip()
return content
@@ -314,19 +331,16 @@ class _IncomingHandler(ChatbotHandler if DINGTALK_STREAM_AVAILABLE else object):
self._adapter = adapter
self._loop = loop
def process(self, message: "ChatbotMessage"):
"""Called by dingtalk-stream in its thread when a message arrives.
async def process(self, callback_message):
"""Called by dingtalk-stream when a message arrives.
Schedules the async handler on the main event loop.
dingtalk-stream >= 0.24 passes a CallbackMessage whose `.data` contains
the chatbot payload. Convert it to ChatbotMessage and await the adapter
handler directly on the main event loop.
"""
loop = self._loop
if loop is None or loop.is_closed():
logger.error("[DingTalk] Event loop unavailable, cannot dispatch message")
return dingtalk_stream.AckMessage.STATUS_OK, "OK"
future = asyncio.run_coroutine_threadsafe(self._adapter._on_message(message), loop)
try:
future.result(timeout=60)
chatbot_msg = ChatbotMessage.from_dict(callback_message.data)
await self._adapter._on_message(chatbot_msg)
except Exception:
logger.exception("[DingTalk] Error processing incoming message")
+110 -1
View File
@@ -235,6 +235,7 @@ class VoiceReceiver:
# Calculate dynamic RTP header size (RFC 9335 / rtpsize mode)
cc = first_byte & 0x0F # CSRC count
has_extension = bool(first_byte & 0x10) # extension bit
has_padding = bool(first_byte & 0x20) # padding bit (RFC 3550 §5.1)
header_size = 12 + (4 * cc) + (4 if has_extension else 0)
if len(data) < header_size + 4: # need at least header + nonce
@@ -278,6 +279,31 @@ class VoiceReceiver:
if ext_data_len and len(decrypted) > ext_data_len:
decrypted = decrypted[ext_data_len:]
# --- Strip RTP padding (RFC 3550 §5.1) ---
# When the P bit is set, the last payload byte holds the count of
# trailing padding bytes (including itself) that must be removed
# before further processing. Skipping this passes padding-contaminated
# bytes into DAVE/Opus and corrupts inbound audio.
if has_padding:
if not decrypted:
if self._packet_debug_count <= 10:
logger.warning(
"RTP padding bit set but no payload (ssrc=%d)", ssrc,
)
return
pad_len = decrypted[-1]
if pad_len == 0 or pad_len > len(decrypted):
if self._packet_debug_count <= 10:
logger.warning(
"Invalid RTP padding length %d for payload size %d (ssrc=%d)",
pad_len, len(decrypted), ssrc,
)
return
decrypted = decrypted[:-pad_len]
if not decrypted:
# Padding consumed entire payload — nothing to decode
return
# --- DAVE E2EE decrypt ---
if self._dave_session:
with self._lock:
@@ -1802,6 +1828,76 @@ class DiscordAdapter(BasePlatformAdapter):
async def slash_btw(interaction: discord.Interaction, question: str):
await self._run_simple_slash(interaction, f"/btw {question}")
# ── Auto-register any gateway-available commands not yet on the tree ──
# This ensures new commands added to COMMAND_REGISTRY in
# hermes_cli/commands.py automatically appear as Discord slash
# commands without needing a manual entry here.
try:
from hermes_cli.commands import COMMAND_REGISTRY, _is_gateway_available, _resolve_config_gates
already_registered = set()
try:
already_registered = {cmd.name for cmd in tree.get_commands()}
except Exception:
pass
config_overrides = _resolve_config_gates()
for cmd_def in COMMAND_REGISTRY:
if not _is_gateway_available(cmd_def, config_overrides):
continue
# Discord command names: lowercase, hyphens OK, max 32 chars.
discord_name = cmd_def.name.lower()[:32]
if discord_name in already_registered:
continue
# Skip aliases that overlap with already-registered names
# (aliases for explicitly registered commands are handled above).
desc = (cmd_def.description or f"Run /{cmd_def.name}")[:100]
has_args = bool(cmd_def.args_hint)
if has_args:
# Command takes optional arguments — create handler with
# an optional ``args`` string parameter.
def _make_args_handler(_name: str, _hint: str):
@discord.app_commands.describe(args=f"Arguments: {_hint}"[:100])
async def _handler(interaction: discord.Interaction, args: str = ""):
await self._run_simple_slash(
interaction, f"/{_name} {args}".strip()
)
_handler.__name__ = f"auto_slash_{_name.replace('-', '_')}"
return _handler
handler = _make_args_handler(cmd_def.name, cmd_def.args_hint)
else:
# Parameterless command.
def _make_simple_handler(_name: str):
async def _handler(interaction: discord.Interaction):
await self._run_simple_slash(interaction, f"/{_name}")
_handler.__name__ = f"auto_slash_{_name.replace('-', '_')}"
return _handler
handler = _make_simple_handler(cmd_def.name)
auto_cmd = discord.app_commands.Command(
name=discord_name,
description=desc,
callback=handler,
)
try:
tree.add_command(auto_cmd)
already_registered.add(discord_name)
except Exception:
# Silently skip commands that fail registration (e.g.
# name conflict with a subcommand group).
pass
logger.debug(
"Discord auto-registered %d commands from COMMAND_REGISTRY",
len(already_registered),
)
except Exception as e:
logger.warning("Discord auto-register from COMMAND_REGISTRY failed: %s", e)
# 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.
@@ -1922,11 +2018,14 @@ class DiscordAdapter(BasePlatformAdapter):
)
msg_type = MessageType.COMMAND if text.startswith("/") else MessageType.TEXT
channel_id = str(interaction.channel_id)
parent_id = str(getattr(getattr(interaction, "channel", None), "parent_id", "") or "")
return MessageEvent(
text=text,
message_type=msg_type,
source=source,
raw_message=interaction,
channel_prompt=self._resolve_channel_prompt(channel_id, parent_id or None),
)
# ------------------------------------------------------------------
@@ -1997,14 +2096,17 @@ class DiscordAdapter(BasePlatformAdapter):
chat_topic=chat_topic,
)
_parent_id = str(getattr(getattr(interaction, "channel", None), "parent_id", "") or "")
_parent_channel = self._thread_parent_channel(getattr(interaction, "channel", None))
_parent_id = str(getattr(_parent_channel, "id", "") or "")
_skills = self._resolve_channel_skills(thread_id, _parent_id or None)
_channel_prompt = self._resolve_channel_prompt(thread_id, _parent_id or None)
event = MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=source,
raw_message=interaction,
auto_skill=_skills,
channel_prompt=_channel_prompt,
)
await self.handle_message(event)
@@ -2033,6 +2135,11 @@ class DiscordAdapter(BasePlatformAdapter):
return list(dict.fromkeys(skills)) # dedup, preserve order
return None
def _resolve_channel_prompt(self, channel_id: str, parent_id: str | None = None) -> str | None:
"""Resolve a Discord per-channel prompt, preferring the exact channel over its parent."""
from gateway.platforms.base import resolve_channel_prompt
return resolve_channel_prompt(self.config.extra, channel_id, parent_id)
def _thread_parent_channel(self, channel: Any) -> Any:
"""Return the parent text channel when invoked from a thread."""
return getattr(channel, "parent", None) or channel
@@ -2584,6 +2691,7 @@ 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)
_channel_prompt = self._resolve_channel_prompt(_chan_id, _parent_id or None)
reply_to_id = None
reply_to_text = None
@@ -2604,6 +2712,7 @@ class DiscordAdapter(BasePlatformAdapter):
reply_to_text=reply_to_text,
timestamp=message.created_at,
auto_skill=_skills,
channel_prompt=_channel_prompt,
)
# Track thread participation so the bot won't require @mention for
+148 -3
View File
@@ -1073,6 +1073,13 @@ class FeishuAdapter(BasePlatformAdapter):
self._webhook_rate_counts: Dict[str, tuple[int, float]] = {} # rate_key → (count, window_start)
self._webhook_anomaly_counts: Dict[str, tuple[int, str, float]] = {} # ip → (count, last_status, first_seen)
self._card_action_tokens: Dict[str, float] = {} # token → first_seen_time
# Inbound events that arrived before the adapter loop was ready
# (e.g. during startup/restart or network-flap reconnect). A single
# drainer thread replays them as soon as the loop becomes available.
self._pending_inbound_events: List[Any] = []
self._pending_inbound_lock = threading.Lock()
self._pending_drain_scheduled = False
self._pending_inbound_max_depth = 1000 # cap queue; drop oldest beyond
self._chat_locks: Dict[str, asyncio.Lock] = {} # chat_id → lock (per-chat serial processing)
self._sent_message_ids_to_chat: Dict[str, str] = {} # message_id → chat_id (for reaction routing)
self._sent_message_id_order: List[str] = [] # LRU order for _sent_message_ids_to_chat
@@ -1219,6 +1226,8 @@ class FeishuAdapter(BasePlatformAdapter):
.register_p2_card_action_trigger(self._on_card_action_trigger)
.register_p2_im_chat_member_bot_added_v1(self._on_bot_added_to_chat)
.register_p2_im_chat_member_bot_deleted_v1(self._on_bot_removed_from_chat)
.register_p2_im_chat_access_event_bot_p2p_chat_entered_v1(self._on_p2p_chat_entered)
.register_p2_im_message_recalled_v1(self._on_message_recalled)
.build()
)
@@ -1757,10 +1766,22 @@ class FeishuAdapter(BasePlatformAdapter):
# =========================================================================
def _on_message_event(self, data: Any) -> None:
"""Normalize Feishu inbound events into MessageEvent."""
"""Normalize Feishu inbound events into MessageEvent.
Called by the lark_oapi SDK's event dispatcher on a background thread.
If the adapter loop is not currently accepting callbacks (brief window
during startup/restart or network-flap reconnect), the event is queued
for replay instead of dropped.
"""
loop = self._loop
if loop is None or bool(getattr(loop, "is_closed", lambda: False)()):
logger.warning("[Feishu] Dropping inbound message before adapter loop is ready")
if not self._loop_accepts_callbacks(loop):
start_drainer = self._enqueue_pending_inbound_event(data)
if start_drainer:
threading.Thread(
target=self._drain_pending_inbound_events,
name="feishu-pending-inbound-drainer",
daemon=True,
).start()
return
future = asyncio.run_coroutine_threadsafe(
self._handle_message_event_data(data),
@@ -1768,6 +1789,124 @@ class FeishuAdapter(BasePlatformAdapter):
)
future.add_done_callback(self._log_background_failure)
def _enqueue_pending_inbound_event(self, data: Any) -> bool:
"""Append an event to the pending-inbound queue.
Returns True if the caller should spawn a drainer thread (no drainer
currently scheduled), False if a drainer is already running and will
pick up the new event on its next pass.
"""
with self._pending_inbound_lock:
if len(self._pending_inbound_events) >= self._pending_inbound_max_depth:
# Queue full — drop the oldest to make room. This happens only
# if the loop stays unavailable for an extended period AND the
# WS keeps firing callbacks. Still better than silent drops.
dropped = self._pending_inbound_events.pop(0)
try:
event = getattr(dropped, "event", None)
message = getattr(event, "message", None)
message_id = str(getattr(message, "message_id", "") or "unknown")
except Exception:
message_id = "unknown"
logger.error(
"[Feishu] Pending-inbound queue full (%d); dropped oldest event %s",
self._pending_inbound_max_depth,
message_id,
)
self._pending_inbound_events.append(data)
depth = len(self._pending_inbound_events)
should_start = not self._pending_drain_scheduled
if should_start:
self._pending_drain_scheduled = True
logger.warning(
"[Feishu] Queued inbound event for replay (loop not ready, queue depth=%d)",
depth,
)
return should_start
def _drain_pending_inbound_events(self) -> None:
"""Replay queued inbound events once the adapter loop is ready.
Runs in a dedicated daemon thread. Polls ``_running`` and
``_loop_accepts_callbacks`` until events can be dispatched or the
adapter shuts down. A single drainer handles the entire queue;
concurrent ``_on_message_event`` calls just append.
"""
poll_interval = 0.25
max_wait_seconds = 120.0 # safety cap: drop queue after 2 minutes
waited = 0.0
try:
while True:
if not getattr(self, "_running", True):
# Adapter shutting down — drop queued events rather than
# holding them against a closed loop.
with self._pending_inbound_lock:
dropped = len(self._pending_inbound_events)
self._pending_inbound_events.clear()
if dropped:
logger.warning(
"[Feishu] Dropped %d queued inbound event(s) during shutdown",
dropped,
)
return
loop = self._loop
if self._loop_accepts_callbacks(loop):
with self._pending_inbound_lock:
batch = self._pending_inbound_events[:]
self._pending_inbound_events.clear()
if not batch:
# Queue emptied between check and grab; done.
with self._pending_inbound_lock:
if not self._pending_inbound_events:
return
continue
dispatched = 0
requeue: List[Any] = []
for event in batch:
try:
fut = asyncio.run_coroutine_threadsafe(
self._handle_message_event_data(event),
loop,
)
fut.add_done_callback(self._log_background_failure)
dispatched += 1
except RuntimeError:
# Loop closed between check and submit — requeue
# and poll again.
requeue.append(event)
if requeue:
with self._pending_inbound_lock:
self._pending_inbound_events[:0] = requeue
if dispatched:
logger.info(
"[Feishu] Replayed %d queued inbound event(s)",
dispatched,
)
if not requeue:
# Successfully drained; check if more arrived while
# we were dispatching and exit if not.
with self._pending_inbound_lock:
if not self._pending_inbound_events:
return
# More events queued or requeue pending — loop again.
continue
if waited >= max_wait_seconds:
with self._pending_inbound_lock:
dropped = len(self._pending_inbound_events)
self._pending_inbound_events.clear()
logger.error(
"[Feishu] Adapter loop unavailable for %.0fs; "
"dropped %d queued inbound event(s)",
max_wait_seconds,
dropped,
)
return
time.sleep(poll_interval)
waited += poll_interval
finally:
with self._pending_inbound_lock:
self._pending_drain_scheduled = False
async def _handle_message_event_data(self, data: Any) -> None:
"""Shared inbound message handling for websocket and webhook transports."""
event = getattr(data, "event", None)
@@ -1820,6 +1959,12 @@ class FeishuAdapter(BasePlatformAdapter):
logger.info("[Feishu] Bot removed from chat: %s", chat_id)
self._chat_info_cache.pop(chat_id, None)
def _on_p2p_chat_entered(self, data: Any) -> None:
logger.debug("[Feishu] User entered P2P chat with bot")
def _on_message_recalled(self, data: Any) -> None:
logger.debug("[Feishu] Message recalled by user")
def _on_reaction_event(self, event_type: str, data: Any) -> None:
"""Route user reactions on bot messages as synthetic text events."""
event = getattr(data, "event", None)
+4 -1
View File
@@ -49,7 +49,10 @@ class MessageDeduplicator:
return False
now = time.time()
if msg_id in self._seen:
return True
if now - self._seen[msg_id] < self._ttl:
return True
# Entry has expired — remove it and treat as new
del self._seen[msg_id]
self._seen[msg_id] = now
if len(self._seen) > self._max_size:
cutoff = now - self._ttl
File diff suppressed because it is too large Load Diff
+7
View File
@@ -718,6 +718,12 @@ class MattermostAdapter(BasePlatformAdapter):
thread_id=thread_id,
)
# Per-channel ephemeral prompt
from gateway.platforms.base import resolve_channel_prompt
_channel_prompt = resolve_channel_prompt(
self.config.extra, channel_id, None,
)
msg_event = MessageEvent(
text=message_text,
message_type=msg_type,
@@ -726,6 +732,7 @@ class MattermostAdapter(BasePlatformAdapter):
message_id=post_id,
media_urls=media_urls if media_urls else None,
media_types=media_types if media_types else None,
channel_prompt=_channel_prompt,
)
await self.handle_message(msg_event)
+28 -3
View File
@@ -366,6 +366,20 @@ class SlackAdapter(BasePlatformAdapter):
# in an assistant-enabled context. Falls back to reactions.
logger.debug("[Slack] assistant.threads.setStatus failed: %s", e)
def _dm_top_level_threads_as_sessions(self) -> bool:
"""Whether top-level Slack DMs get per-message session threads.
Defaults to ``True`` so each visible DM reply thread is isolated as its
own Hermes session matching the per-thread behavior channels already
have. Set ``platforms.slack.extra.dm_top_level_threads_as_sessions``
to ``false`` in config.yaml to revert to the legacy behavior where all
top-level DMs share one continuous session.
"""
raw = self.config.extra.get("dm_top_level_threads_as_sessions")
if raw is None:
return True # default: each DM thread is its own session
return str(raw).strip().lower() in ("1", "true", "yes", "on")
def _resolve_thread_ts(
self,
reply_to: Optional[str] = None,
@@ -996,10 +1010,14 @@ class SlackAdapter(BasePlatformAdapter):
# Build thread_ts for session keying.
# In channels: fall back to ts so each top-level @mention starts a
# new thread/session (the bot always replies in a thread).
# In DMs: only use the real thread_ts — top-level DMs should share
# one continuous session, threaded DMs get their own session.
# In DMs: fall back to ts so each top-level DM reply thread gets
# its own session key (matching channel behavior). Set
# dm_top_level_threads_as_sessions: false in config to revert to
# legacy single-session-per-DM-channel behavior.
if is_dm:
thread_ts = event.get("thread_ts") or assistant_meta.get("thread_ts") # None for top-level DMs
thread_ts = event.get("thread_ts") or assistant_meta.get("thread_ts")
if not thread_ts and self._dm_top_level_threads_as_sessions():
thread_ts = ts
else:
thread_ts = event.get("thread_ts") or ts # ts fallback for channels
@@ -1167,6 +1185,12 @@ class SlackAdapter(BasePlatformAdapter):
thread_id=thread_ts,
)
# Per-channel ephemeral prompt
from gateway.platforms.base import resolve_channel_prompt
_channel_prompt = resolve_channel_prompt(
self.config.extra, channel_id, None,
)
msg_event = MessageEvent(
text=text,
message_type=msg_type,
@@ -1176,6 +1200,7 @@ class SlackAdapter(BasePlatformAdapter):
media_urls=media_urls,
media_types=media_types,
reply_to_message_id=thread_ts if thread_ts != ts else None,
channel_prompt=_channel_prompt,
)
# Only react when bot is directly addressed (DM or @mention).
+132 -43
View File
@@ -11,6 +11,7 @@ import asyncio
import json
import logging
import os
import html as _html
import re
from typing import Dict, List, Optional, Any
@@ -18,6 +19,10 @@ logger = logging.getLogger(__name__)
try:
from telegram import Update, Bot, Message, InlineKeyboardButton, InlineKeyboardMarkup
try:
from telegram import LinkPreviewOptions
except ImportError:
LinkPreviewOptions = None
from telegram.ext import (
Application,
CommandHandler,
@@ -36,6 +41,7 @@ except ImportError:
Message = Any
InlineKeyboardButton = Any
InlineKeyboardMarkup = Any
LinkPreviewOptions = None
Application = Any
CommandHandler = Any
CallbackQueryHandler = Any
@@ -129,6 +135,7 @@ class TelegramAdapter(BasePlatformAdapter):
# When a chunk is near this limit, a continuation is almost certain.
_SPLIT_THRESHOLD = 4000
MEDIA_GROUP_WAIT_SECONDS = 0.8
_GENERAL_TOPIC_THREAD_ID = "1"
def __init__(self, config: PlatformConfig):
super().__init__(config, Platform.TELEGRAM)
@@ -137,6 +144,7 @@ class TelegramAdapter(BasePlatformAdapter):
self._webhook_mode: bool = False
self._mention_patterns = self._compile_mention_patterns()
self._reply_to_mode: str = getattr(config, 'reply_to_mode', 'first') or 'first'
self._disable_link_previews: bool = self._coerce_bool_extra("disable_link_previews", False)
# Buffer rapid/album photo updates so Telegram image bursts are handled
# as a single MessageEvent instead of self-interrupting multiple turns.
self._media_batch_delay_seconds = float(os.getenv("HERMES_TELEGRAM_MEDIA_BATCH_DELAY_SECONDS", "0.8"))
@@ -163,6 +171,38 @@ class TelegramAdapter(BasePlatformAdapter):
# Approval button state: message_id → session_key
self._approval_state: Dict[int, str] = {}
@staticmethod
def _is_callback_user_authorized(user_id: str) -> bool:
"""Return whether a Telegram inline-button caller may perform gated actions."""
allowed_csv = os.getenv("TELEGRAM_ALLOWED_USERS", "").strip()
if not allowed_csv:
return True
allowed_ids = {uid.strip() for uid in allowed_csv.split(",") if uid.strip()}
return "*" in allowed_ids or user_id in allowed_ids
@classmethod
def _metadata_thread_id(cls, metadata: Optional[Dict[str, Any]]) -> Optional[str]:
if not metadata:
return None
thread_id = metadata.get("thread_id") or metadata.get("message_thread_id")
return str(thread_id) if thread_id is not None else None
@classmethod
def _message_thread_id_for_send(cls, thread_id: Optional[str]) -> Optional[int]:
if not thread_id or str(thread_id) == cls._GENERAL_TOPIC_THREAD_ID:
return None
return int(thread_id)
@classmethod
def _message_thread_id_for_typing(cls, thread_id: Optional[str]) -> Optional[int]:
if not thread_id:
return None
return int(thread_id)
@staticmethod
def _is_thread_not_found_error(error: Exception) -> bool:
return "thread not found" in str(error).lower()
def _fallback_ips(self) -> list[str]:
"""Return validated fallback IPs from config (populated by _apply_env_overrides)."""
configured = self.config.extra.get("fallback_ips", []) if getattr(self.config, "extra", None) else []
@@ -193,6 +233,26 @@ class TelegramAdapter(BasePlatformAdapter):
pass
return isinstance(error, OSError)
def _coerce_bool_extra(self, key: str, default: bool = False) -> bool:
value = self.config.extra.get(key) if getattr(self.config, "extra", None) else None
if value is None:
return default
if isinstance(value, str):
lowered = value.strip().lower()
if lowered in ("true", "1", "yes", "on"):
return True
if lowered in ("false", "0", "no", "off"):
return False
return default
return bool(value)
def _link_preview_kwargs(self) -> Dict[str, Any]:
if not getattr(self, "_disable_link_previews", False):
return {}
if LinkPreviewOptions is not None:
return {"link_preview_options": LinkPreviewOptions(is_disabled=True)}
return {"disable_web_page_preview": True}
async def _handle_polling_network_error(self, error: Exception) -> None:
"""Reconnect polling after a transient network interruption.
@@ -540,7 +600,7 @@ class TelegramAdapter(BasePlatformAdapter):
"write_timeout": _env_float("HERMES_TELEGRAM_HTTP_WRITE_TIMEOUT", 20.0),
}
proxy_url = resolve_proxy_url()
proxy_url = resolve_proxy_url("TELEGRAM_PROXY")
disable_fallback = (os.getenv("HERMES_TELEGRAM_DISABLE_FALLBACK_IPS", "").strip().lower() in ("1", "true", "yes", "on"))
fallback_ips = self._fallback_ips()
if not fallback_ips:
@@ -606,14 +666,14 @@ class TelegramAdapter(BasePlatformAdapter):
from telegram.error import NetworkError, TimedOut
except ImportError:
NetworkError = TimedOut = OSError # type: ignore[misc,assignment]
_max_connect = 3
_max_connect = 8
for _attempt in range(_max_connect):
try:
await self._app.initialize()
break
except (NetworkError, TimedOut, OSError) as init_err:
if _attempt < _max_connect - 1:
wait = 2 ** _attempt
wait = min(2 ** _attempt, 15)
logger.warning(
"[%s] Connect attempt %d/%d failed: %s — retrying in %ds",
self.name, _attempt + 1, _max_connect, init_err, wait,
@@ -814,7 +874,7 @@ class TelegramAdapter(BasePlatformAdapter):
]
message_ids = []
thread_id = metadata.get("thread_id") if metadata else None
thread_id = self._metadata_thread_id(metadata)
try:
from telegram.error import NetworkError as _NetErr
@@ -834,7 +894,7 @@ class TelegramAdapter(BasePlatformAdapter):
for i, chunk in enumerate(chunks):
should_thread = self._should_thread_reply(reply_to, i)
reply_to_id = int(reply_to) if should_thread else None
effective_thread_id = int(thread_id) if thread_id else None
effective_thread_id = self._message_thread_id_for_send(thread_id)
msg = None
for _send_attempt in range(3):
@@ -847,6 +907,7 @@ class TelegramAdapter(BasePlatformAdapter):
parse_mode=ParseMode.MARKDOWN_V2,
reply_to_message_id=reply_to_id,
message_thread_id=effective_thread_id,
**self._link_preview_kwargs(),
)
except Exception as md_error:
# Markdown parsing failed, try plain text
@@ -859,6 +920,7 @@ class TelegramAdapter(BasePlatformAdapter):
parse_mode=None,
reply_to_message_id=reply_to_id,
message_thread_id=effective_thread_id,
**self._link_preview_kwargs(),
)
else:
raise
@@ -869,8 +931,7 @@ class TelegramAdapter(BasePlatformAdapter):
# (not transient network issues). Detect and handle
# specific cases instead of blindly retrying.
if _BadReq and isinstance(send_err, _BadReq):
err_lower = str(send_err).lower()
if "thread not found" in err_lower and effective_thread_id is not None:
if self._is_thread_not_found_error(send_err) and effective_thread_id is not None:
# Thread doesn't exist — retry without
# message_thread_id so the message still
# reaches the chat.
@@ -880,6 +941,7 @@ class TelegramAdapter(BasePlatformAdapter):
)
effective_thread_id = None
continue
err_lower = str(send_err).lower()
if "message to be replied not found" in err_lower and reply_to_id is not None:
# Original message was deleted before we
# could reply — clear reply target and retry
@@ -1046,6 +1108,7 @@ class TelegramAdapter(BasePlatformAdapter):
text=text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
**self._link_preview_kwargs(),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1068,15 +1131,13 @@ class TelegramAdapter(BasePlatformAdapter):
try:
cmd_preview = command[:3800] + "..." if len(command) > 3800 else command
text = (
f"⚠️ *Command Approval Required*\n\n"
f"`{cmd_preview}`\n\n"
f"Reason: {description}"
f"⚠️ <b>Command Approval Required</b>\n\n"
f"<pre>{_html.escape(cmd_preview)}</pre>\n\n"
f"Reason: {_html.escape(description)}"
)
# Resolve thread context for thread replies
thread_id = None
if metadata:
thread_id = metadata.get("thread_id") or metadata.get("message_thread_id")
thread_id = self._metadata_thread_id(metadata)
# We'll use the message_id as part of callback_data to look up session_key
# Send a placeholder first, then update — or use a counter.
@@ -1100,11 +1161,13 @@ class TelegramAdapter(BasePlatformAdapter):
kwargs: Dict[str, Any] = {
"chat_id": int(chat_id),
"text": text,
"parse_mode": ParseMode.MARKDOWN,
"parse_mode": ParseMode.HTML,
"reply_markup": keyboard,
**self._link_preview_kwargs(),
}
if thread_id:
kwargs["message_thread_id"] = int(thread_id)
message_thread_id = self._message_thread_id_for_send(thread_id)
if message_thread_id is not None:
kwargs["message_thread_id"] = message_thread_id
msg = await self._bot.send_message(**kwargs)
@@ -1172,6 +1235,7 @@ class TelegramAdapter(BasePlatformAdapter):
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
message_thread_id=int(thread_id) if thread_id else None,
**self._link_preview_kwargs(),
)
# Store picker state keyed by chat_id
@@ -1440,12 +1504,9 @@ class TelegramAdapter(BasePlatformAdapter):
# Only authorized users may click approval buttons.
caller_id = str(getattr(query.from_user, "id", ""))
allowed_csv = os.getenv("TELEGRAM_ALLOWED_USERS", "").strip()
if allowed_csv:
allowed_ids = {uid.strip() for uid in allowed_csv.split(",") if uid.strip()}
if "*" not in allowed_ids and caller_id not in allowed_ids:
await query.answer(text="⛔ You are not authorized to approve commands.")
return
if not self._is_callback_user_authorized(caller_id):
await query.answer(text="⛔ You are not authorized to approve commands.")
return
session_key = self._approval_state.pop(approval_id, None)
if not session_key:
@@ -1490,6 +1551,10 @@ class TelegramAdapter(BasePlatformAdapter):
if not data.startswith("update_prompt:"):
return
answer = data.split(":", 1)[1] # "y" or "n"
caller_id = str(getattr(query.from_user, "id", ""))
if not self._is_callback_user_authorized(caller_id):
await query.answer(text="⛔ You are not authorized to answer update prompts.")
return
await query.answer(text=f"Sent '{answer}' to the update process.")
# Edit the message to show the choice and remove buttons
label = "Yes" if answer == "y" else "No"
@@ -1535,23 +1600,23 @@ class TelegramAdapter(BasePlatformAdapter):
with open(audio_path, "rb") as audio_file:
# .ogg files -> send as voice (round playable bubble)
if audio_path.endswith((".ogg", ".opus")):
_voice_thread = metadata.get("thread_id") if metadata else None
_voice_thread = self._metadata_thread_id(metadata)
msg = await self._bot.send_voice(
chat_id=int(chat_id),
voice=audio_file,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_voice_thread) if _voice_thread else None,
message_thread_id=self._message_thread_id_for_send(_voice_thread),
)
else:
# .mp3 and others -> send as audio file
_audio_thread = metadata.get("thread_id") if metadata else None
_audio_thread = self._metadata_thread_id(metadata)
msg = await self._bot.send_audio(
chat_id=int(chat_id),
audio=audio_file,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_audio_thread) if _audio_thread else None,
message_thread_id=self._message_thread_id_for_send(_audio_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1581,14 +1646,14 @@ class TelegramAdapter(BasePlatformAdapter):
if not os.path.exists(image_path):
return SendResult(success=False, error=f"Image file not found: {image_path}")
_thread = metadata.get("thread_id") if metadata else None
_thread = self._metadata_thread_id(metadata)
with open(image_path, "rb") as image_file:
msg = await self._bot.send_photo(
chat_id=int(chat_id),
photo=image_file,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_thread) if _thread else None,
message_thread_id=self._message_thread_id_for_send(_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1619,7 +1684,7 @@ class TelegramAdapter(BasePlatformAdapter):
return SendResult(success=False, error=f"File not found: {file_path}")
display_name = file_name or os.path.basename(file_path)
_thread = metadata.get("thread_id") if metadata else None
_thread = self._metadata_thread_id(metadata)
with open(file_path, "rb") as f:
msg = await self._bot.send_document(
@@ -1628,7 +1693,7 @@ class TelegramAdapter(BasePlatformAdapter):
filename=display_name,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_thread) if _thread else None,
message_thread_id=self._message_thread_id_for_send(_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1652,14 +1717,14 @@ class TelegramAdapter(BasePlatformAdapter):
if not os.path.exists(video_path):
return SendResult(success=False, error=f"Video file not found: {video_path}")
_thread = metadata.get("thread_id") if metadata else None
_thread = self._metadata_thread_id(metadata)
with open(video_path, "rb") as f:
msg = await self._bot.send_video(
chat_id=int(chat_id),
video=f,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_thread) if _thread else None,
message_thread_id=self._message_thread_id_for_send(_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1689,13 +1754,13 @@ class TelegramAdapter(BasePlatformAdapter):
try:
# Telegram can send photos directly from URLs (up to ~5MB)
_photo_thread = metadata.get("thread_id") if metadata else None
_photo_thread = self._metadata_thread_id(metadata)
msg = await self._bot.send_photo(
chat_id=int(chat_id),
photo=image_url,
caption=caption[:1024] if caption else None, # Telegram caption limit
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_photo_thread) if _photo_thread else None,
message_thread_id=self._message_thread_id_for_send(_photo_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1718,6 +1783,7 @@ class TelegramAdapter(BasePlatformAdapter):
photo=image_data,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=self._message_thread_id_for_send(_photo_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e2:
@@ -1743,13 +1809,13 @@ class TelegramAdapter(BasePlatformAdapter):
return SendResult(success=False, error="Not connected")
try:
_anim_thread = metadata.get("thread_id") if metadata else None
_anim_thread = self._metadata_thread_id(metadata)
msg = await self._bot.send_animation(
chat_id=int(chat_id),
animation=animation_url,
caption=caption[:1024] if caption else None,
reply_to_message_id=int(reply_to) if reply_to else None,
message_thread_id=int(_anim_thread) if _anim_thread else None,
message_thread_id=self._message_thread_id_for_send(_anim_thread),
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
@@ -1766,12 +1832,23 @@ class TelegramAdapter(BasePlatformAdapter):
"""Send typing indicator."""
if self._bot:
try:
_typing_thread = metadata.get("thread_id") if metadata else None
await self._bot.send_chat_action(
chat_id=int(chat_id),
action="typing",
message_thread_id=int(_typing_thread) if _typing_thread else None,
)
_typing_thread = self._metadata_thread_id(metadata)
message_thread_id = self._message_thread_id_for_typing(_typing_thread)
try:
await self._bot.send_chat_action(
chat_id=int(chat_id),
action="typing",
message_thread_id=message_thread_id,
)
except Exception as e:
if message_thread_id is not None and self._is_thread_not_found_error(e):
await self._bot.send_chat_action(
chat_id=int(chat_id),
action="typing",
message_thread_id=None,
)
else:
raise
except Exception as e:
# Typing failures are non-fatal; log at debug level only.
logger.debug(
@@ -2716,7 +2793,9 @@ class TelegramAdapter(BasePlatformAdapter):
# Resolve DM topic name and skill binding
thread_id_raw = message.message_thread_id
thread_id_str = str(thread_id_raw) if thread_id_raw else None
thread_id_str = str(thread_id_raw) if thread_id_raw is not None else None
if chat_type == "group" and thread_id_str is None and getattr(chat, "is_forum", False):
thread_id_str = self._GENERAL_TOPIC_THREAD_ID
chat_topic = None
topic_skill = None
@@ -2765,6 +2844,15 @@ class TelegramAdapter(BasePlatformAdapter):
reply_to_id = str(message.reply_to_message.message_id)
reply_to_text = message.reply_to_message.text or message.reply_to_message.caption or None
# Per-channel/topic ephemeral prompt
from gateway.platforms.base import resolve_channel_prompt
_chat_id_str = str(chat.id)
_channel_prompt = resolve_channel_prompt(
self.config.extra,
thread_id_str or _chat_id_str,
_chat_id_str if thread_id_str else None,
)
return MessageEvent(
text=message.text or "",
message_type=msg_type,
@@ -2774,6 +2862,7 @@ class TelegramAdapter(BasePlatformAdapter):
reply_to_message_id=reply_to_id,
reply_to_text=reply_to_text,
auto_skill=topic_skill,
channel_prompt=_channel_prompt,
timestamp=message.date,
)
+1 -1
View File
@@ -46,7 +46,7 @@ _SEED_FALLBACK_IPS: list[str] = ["149.154.167.220"]
def _resolve_proxy_url() -> str | None:
# Delegate to shared implementation (env vars + macOS system proxy detection)
from gateway.platforms.base import resolve_proxy_url
return resolve_proxy_url()
return resolve_proxy_url("TELEGRAM_PROXY")
class TelegramFallbackTransport(httpx.AsyncBaseTransport):
+14
View File
@@ -258,6 +258,20 @@ class WecomCallbackAdapter(BasePlatformAdapter):
)
event = self._build_event(app, decrypted)
if event is not None:
# Deduplicate: WeCom retries callbacks on timeout,
# producing duplicate inbound messages (#10305).
if event.message_id:
now = time.time()
if event.message_id in self._seen_messages:
if now - self._seen_messages[event.message_id] < MESSAGE_DEDUP_TTL_SECONDS:
logger.debug("[WecomCallback] Duplicate MsgId %s, skipping", event.message_id)
return web.Response(text="success", content_type="text/plain")
del self._seen_messages[event.message_id]
self._seen_messages[event.message_id] = now
# Prune expired entries when cache grows large
if len(self._seen_messages) > 2000:
cutoff = now - MESSAGE_DEDUP_TTL_SECONDS
self._seen_messages = {k: v for k, v in self._seen_messages.items() if v > cutoff}
# Record which app this user belongs to.
if event.source and event.source.user_id:
map_key = self._user_app_key(
+535 -289
View File
File diff suppressed because it is too large Load Diff
+6 -2
View File
@@ -301,6 +301,8 @@ def build_session_context_prompt(
lines.append("")
lines.append("**Delivery options for scheduled tasks:**")
from hermes_constants import display_hermes_home
# Origin delivery
if context.source.platform == Platform.LOCAL:
lines.append("- `\"origin\"` → Local output (saved to files)")
@@ -309,9 +311,11 @@ def build_session_context_prompt(
_hash_chat_id(context.source.chat_id) if redact_pii else context.source.chat_id
)
lines.append(f"- `\"origin\"` → Back to this chat ({_origin_label})")
# Local always available
lines.append("- `\"local\"` → Save to local files only (~/.hermes/cron/output/)")
lines.append(
f"- `\"local\"` → Save to local files only ({display_hermes_home()}/cron/output/)"
)
# Platform home channels
for platform, home in context.home_channels.items():
+34 -17
View File
@@ -37,18 +37,24 @@ needs to replace the import + call site:
"""
from contextvars import ContextVar
from typing import Any
# Sentinel to distinguish "never set in this context" from "explicitly set to empty".
# When a contextvar holds _UNSET, we fall back to os.environ (CLI/cron compat).
# When it holds "" (after clear_session_vars resets it), we return "" — no fallback.
_UNSET: Any = object()
# ---------------------------------------------------------------------------
# Per-task session variables
# ---------------------------------------------------------------------------
_SESSION_PLATFORM: ContextVar[str] = ContextVar("HERMES_SESSION_PLATFORM", default="")
_SESSION_CHAT_ID: ContextVar[str] = ContextVar("HERMES_SESSION_CHAT_ID", default="")
_SESSION_CHAT_NAME: ContextVar[str] = ContextVar("HERMES_SESSION_CHAT_NAME", default="")
_SESSION_THREAD_ID: ContextVar[str] = ContextVar("HERMES_SESSION_THREAD_ID", default="")
_SESSION_USER_ID: ContextVar[str] = ContextVar("HERMES_SESSION_USER_ID", default="")
_SESSION_USER_NAME: ContextVar[str] = ContextVar("HERMES_SESSION_USER_NAME", default="")
_SESSION_KEY: ContextVar[str] = ContextVar("HERMES_SESSION_KEY", default="")
_SESSION_PLATFORM: ContextVar = ContextVar("HERMES_SESSION_PLATFORM", default=_UNSET)
_SESSION_CHAT_ID: ContextVar = ContextVar("HERMES_SESSION_CHAT_ID", default=_UNSET)
_SESSION_CHAT_NAME: ContextVar = ContextVar("HERMES_SESSION_CHAT_NAME", default=_UNSET)
_SESSION_THREAD_ID: ContextVar = ContextVar("HERMES_SESSION_THREAD_ID", default=_UNSET)
_SESSION_USER_ID: ContextVar = ContextVar("HERMES_SESSION_USER_ID", default=_UNSET)
_SESSION_USER_NAME: ContextVar = ContextVar("HERMES_SESSION_USER_NAME", default=_UNSET)
_SESSION_KEY: ContextVar = ContextVar("HERMES_SESSION_KEY", default=_UNSET)
_VAR_MAP = {
"HERMES_SESSION_PLATFORM": _SESSION_PLATFORM,
@@ -91,10 +97,17 @@ def set_session_vars(
def clear_session_vars(tokens: list) -> None:
"""Restore session context variables to their pre-handler values."""
if not tokens:
return
vars_in_order = [
"""Mark session context variables as explicitly cleared.
Sets all variables to ``""`` so that ``get_session_env`` returns an empty
string instead of falling back to (potentially stale) ``os.environ``
values. The *tokens* argument is accepted for API compatibility with
callers that saved the return value of ``set_session_vars``, but the
actual clearing uses ``var.set("")`` rather than ``var.reset(token)``
to ensure the "explicitly cleared" state is distinguishable from
"never set" (which holds the ``_UNSET`` sentinel).
"""
for var in (
_SESSION_PLATFORM,
_SESSION_CHAT_ID,
_SESSION_CHAT_NAME,
@@ -102,9 +115,8 @@ def clear_session_vars(tokens: list) -> None:
_SESSION_USER_ID,
_SESSION_USER_NAME,
_SESSION_KEY,
]
for var, token in zip(vars_in_order, tokens):
var.reset(token)
):
var.set("")
def get_session_env(name: str, default: str = "") -> str:
@@ -113,8 +125,13 @@ def get_session_env(name: str, default: str = "") -> str:
Drop-in replacement for ``os.getenv("HERMES_SESSION_*", default)``.
Resolution order:
1. Context variable (set by the gateway for concurrency-safe access)
2. ``os.environ`` (used by CLI, cron scheduler, and tests)
1. Context variable (set by the gateway for concurrency-safe access).
If the variable was explicitly set (even to ``""``) via
``set_session_vars`` or ``clear_session_vars``, that value is
returned **no fallback to os.environ**.
2. ``os.environ`` (only when the context variable was never set in
this context i.e. CLI, cron scheduler, and test processes that
don't use ``set_session_vars`` at all).
3. *default*
"""
import os
@@ -122,7 +139,7 @@ def get_session_env(name: str, default: str = "") -> str:
var = _VAR_MAP.get(name)
if var is not None:
value = var.get()
if value:
if value is not _UNSET:
return value
# Fall back to os.environ for CLI, cron, and test compatibility
return os.getenv(name, default)
+35 -18
View File
@@ -43,6 +43,7 @@ class StreamConsumerConfig:
edit_interval: float = 1.0
buffer_threshold: int = 40
cursor: str = ""
buffer_only: bool = False
class GatewayStreamConsumer:
@@ -295,10 +296,13 @@ class GatewayStreamConsumer:
got_done
or got_segment_break
or commentary_text is not None
or (elapsed >= self._current_edit_interval
and self._accumulated)
or len(self._accumulated) >= self.cfg.buffer_threshold
)
if not self.cfg.buffer_only:
should_edit = should_edit or (
(elapsed >= self._current_edit_interval
and self._accumulated)
or len(self._accumulated) >= self.cfg.buffer_threshold
)
current_update_visible = False
if should_edit and self._accumulated:
@@ -403,18 +407,20 @@ class GatewayStreamConsumer:
except asyncio.CancelledError:
# Best-effort final edit on cancellation
_best_effort_ok = False
if self._accumulated and self._message_id:
try:
await self._send_or_edit(self._accumulated)
_best_effort_ok = bool(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:
# Only confirm final delivery if the best-effort send above
# actually succeeded OR if the final response was already
# confirmed before we were cancelled. Previously this
# promoted any partial send (already_sent=True) to
# final_response_sent — which suppressed the gateway's
# fallback send even when only intermediate text (e.g.
# "Let me search…") had been delivered, not the real answer.
if _best_effort_ok and not self._final_response_sent:
self._final_response_sent = True
except Exception as e:
logger.error("Stream consumer error: %s", e)
@@ -513,9 +519,17 @@ class GatewayStreamConsumer:
self._fallback_final_send = False
if not continuation.strip():
# Nothing new to send — the visible partial already matches final text.
self._already_sent = True
self._final_response_sent = True
return
# BUT: if final_text itself has meaningful content (e.g. a timeout
# message after a long tool call), the prefix-based continuation
# calculation may wrongly conclude "already shown" because the
# streamed prefix was from a *previous* segment (before the tool
# boundary). In that case, send the full final_text as-is (#10807).
if final_text.strip() and final_text != self._visible_prefix():
continuation = final_text
else:
self._already_sent = True
self._final_response_sent = True
return
raw_limit = getattr(self.adapter, "MAX_MESSAGE_LENGTH", 4096)
safe_limit = max(500, raw_limit - 100)
@@ -609,12 +623,15 @@ class GatewayStreamConsumer:
content=text,
metadata=self.metadata,
)
if result.success:
self._already_sent = True
return True
# Note: do NOT set _already_sent = True here.
# Commentary messages are interim status updates (e.g. "Using browser
# tool..."), not the final response. Setting already_sent would cause
# the final response to be incorrectly suppressed when there are
# multiple tool calls. See: https://github.com/NousResearch/hermes-agent/issues/10454
return result.success
except Exception as e:
logger.error("Commentary send error: %s", e)
return False
return False
async def _send_or_edit(self, text: str) -> bool:
"""Send or edit the streaming message.
+2 -2
View File
@@ -11,5 +11,5 @@ Provides subcommands for:
- hermes cron - Manage cron jobs
"""
__version__ = "0.9.0"
__release_date__ = "2026.4.13"
__version__ = "0.10.0"
__release_date__ = "2026.4.16"
+158 -4
View File
@@ -70,6 +70,7 @@ DEFAULT_CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
DEFAULT_QWEN_BASE_URL = "https://portal.qwen.ai/v1"
DEFAULT_GITHUB_MODELS_BASE_URL = "https://api.githubcopilot.com"
DEFAULT_COPILOT_ACP_BASE_URL = "acp://copilot"
DEFAULT_OLLAMA_CLOUD_BASE_URL = "https://ollama.com/v1"
CODEX_OAUTH_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
@@ -77,6 +78,10 @@ QWEN_OAUTH_CLIENT_ID = "f0304373b74a44d2b584a3fb70ca9e56"
QWEN_OAUTH_TOKEN_URL = "https://chat.qwen.ai/api/v1/oauth2/token"
QWEN_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
# Google Gemini OAuth (google-gemini-cli provider, Cloud Code Assist backend)
DEFAULT_GEMINI_CLOUDCODE_BASE_URL = "cloudcode-pa://google"
GEMINI_OAUTH_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 60 # refresh 60s before expiry
# =============================================================================
# Provider Registry
@@ -121,6 +126,12 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
auth_type="oauth_external",
inference_base_url=DEFAULT_QWEN_BASE_URL,
),
"google-gemini-cli": ProviderConfig(
id="google-gemini-cli",
name="Google Gemini (OAuth)",
auth_type="oauth_external",
inference_base_url=DEFAULT_GEMINI_CLOUDCODE_BASE_URL,
),
"copilot": ProviderConfig(
id="copilot",
name="GitHub Copilot",
@@ -274,6 +285,22 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
api_key_env_vars=("XIAOMI_API_KEY",),
base_url_env_var="XIAOMI_BASE_URL",
),
"ollama-cloud": ProviderConfig(
id="ollama-cloud",
name="Ollama Cloud",
auth_type="api_key",
inference_base_url=DEFAULT_OLLAMA_CLOUD_BASE_URL,
api_key_env_vars=("OLLAMA_API_KEY",),
base_url_env_var="OLLAMA_BASE_URL",
),
"bedrock": ProviderConfig(
id="bedrock",
name="AWS Bedrock",
auth_type="aws_sdk",
inference_base_url="https://bedrock-runtime.us-east-1.amazonaws.com",
api_key_env_vars=(),
base_url_env_var="BEDROCK_BASE_URL",
),
}
@@ -911,6 +938,7 @@ def resolve_provider(
_PROVIDER_ALIASES = {
"glm": "zai", "z-ai": "zai", "z.ai": "zai", "zhipu": "zai",
"google": "gemini", "google-gemini": "gemini", "google-ai-studio": "gemini",
"x-ai": "xai", "x.ai": "xai", "grok": "xai",
"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",
@@ -921,14 +949,16 @@ def resolve_provider(
"github-copilot-acp": "copilot-acp", "copilot-acp-agent": "copilot-acp",
"aigateway": "ai-gateway", "vercel": "ai-gateway", "vercel-ai-gateway": "ai-gateway",
"opencode": "opencode-zen", "zen": "opencode-zen",
"qwen-portal": "qwen-oauth", "qwen-cli": "qwen-oauth", "qwen-oauth": "qwen-oauth",
"qwen-portal": "qwen-oauth", "qwen-cli": "qwen-oauth", "qwen-oauth": "qwen-oauth", "google-gemini-cli": "google-gemini-cli", "gemini-cli": "google-gemini-cli", "gemini-oauth": "google-gemini-cli",
"hf": "huggingface", "hugging-face": "huggingface", "huggingface-hub": "huggingface",
"mimo": "xiaomi", "xiaomi-mimo": "xiaomi",
"aws": "bedrock", "aws-bedrock": "bedrock", "amazon-bedrock": "bedrock", "amazon": "bedrock",
"go": "opencode-go", "opencode-go-sub": "opencode-go",
"kilo": "kilocode", "kilo-code": "kilocode", "kilo-gateway": "kilocode",
# Local server aliases — route through the generic custom provider
"lmstudio": "custom", "lm-studio": "custom", "lm_studio": "custom",
"ollama": "custom", "vllm": "custom", "llamacpp": "custom",
"ollama": "custom", "ollama_cloud": "ollama-cloud",
"vllm": "custom", "llamacpp": "custom",
"llama.cpp": "custom", "llama-cpp": "custom",
}
normalized = _PROVIDER_ALIASES.get(normalized, normalized)
@@ -980,6 +1010,15 @@ def resolve_provider(
if has_usable_secret(os.getenv(env_var, "")):
return pid
# AWS Bedrock — detect via boto3 credential chain (IAM roles, SSO, env vars).
# This runs after API-key providers so explicit keys always win.
try:
from agent.bedrock_adapter import has_aws_credentials
if has_aws_credentials():
return "bedrock"
except ImportError:
pass # boto3 not installed — skip Bedrock auto-detection
raise AuthError(
"No inference provider configured. Run 'hermes model' to choose a "
"provider and model, or set an API key (OPENROUTER_API_KEY, "
@@ -1222,6 +1261,83 @@ def get_qwen_auth_status() -> Dict[str, Any]:
}
# =============================================================================
# Google Gemini OAuth (google-gemini-cli) — PKCE flow + Cloud Code Assist.
#
# Tokens live in ~/.hermes/auth/google_oauth.json (managed by agent.google_oauth).
# The `base_url` here is the marker "cloudcode-pa://google" that run_agent.py
# uses to construct a GeminiCloudCodeClient instead of the default OpenAI SDK.
# Actual HTTP traffic goes to https://cloudcode-pa.googleapis.com/v1internal:*.
# =============================================================================
def resolve_gemini_oauth_runtime_credentials(
*,
force_refresh: bool = False,
) -> Dict[str, Any]:
"""Resolve runtime OAuth creds for google-gemini-cli."""
try:
from agent.google_oauth import (
GoogleOAuthError,
_credentials_path,
get_valid_access_token,
load_credentials,
)
except ImportError as exc:
raise AuthError(
f"agent.google_oauth is not importable: {exc}",
provider="google-gemini-cli",
code="google_oauth_module_missing",
) from exc
try:
access_token = get_valid_access_token(force_refresh=force_refresh)
except GoogleOAuthError as exc:
raise AuthError(
str(exc),
provider="google-gemini-cli",
code=exc.code,
) from exc
creds = load_credentials()
base_url = DEFAULT_GEMINI_CLOUDCODE_BASE_URL
return {
"provider": "google-gemini-cli",
"base_url": base_url,
"api_key": access_token,
"source": "google-oauth",
"expires_at_ms": (creds.expires_ms if creds else None),
"auth_file": str(_credentials_path()),
"email": (creds.email if creds else "") or "",
"project_id": (creds.project_id if creds else "") or "",
}
def get_gemini_oauth_auth_status() -> Dict[str, Any]:
"""Return a status dict for `hermes auth list` / `hermes status`."""
try:
from agent.google_oauth import _credentials_path, load_credentials
except ImportError:
return {"logged_in": False, "error": "agent.google_oauth unavailable"}
auth_path = _credentials_path()
creds = load_credentials()
if creds is None or not creds.access_token:
return {
"logged_in": False,
"auth_file": str(auth_path),
"error": "not logged in",
}
return {
"logged_in": True,
"auth_file": str(auth_path),
"source": "google-oauth",
"api_key": creds.access_token,
"expires_at_ms": creds.expires_ms,
"email": creds.email,
"project_id": creds.project_id,
}
# =============================================================================
# SSH / remote session detection
# =============================================================================
@@ -2384,7 +2500,7 @@ def get_api_key_provider_status(provider_id: str) -> Dict[str, Any]:
if pconfig.base_url_env_var:
env_url = os.getenv(pconfig.base_url_env_var, "").strip()
if provider_id == "kimi-coding":
if provider_id in ("kimi-coding", "kimi-coding-cn"):
base_url = _resolve_kimi_base_url(api_key, pconfig.inference_base_url, env_url)
elif env_url:
base_url = env_url
@@ -2440,12 +2556,21 @@ def get_auth_status(provider_id: Optional[str] = None) -> Dict[str, Any]:
return get_codex_auth_status()
if target == "qwen-oauth":
return get_qwen_auth_status()
if target == "google-gemini-cli":
return get_gemini_oauth_auth_status()
if target == "copilot-acp":
return get_external_process_provider_status(target)
# API-key providers
pconfig = PROVIDER_REGISTRY.get(target)
if pconfig and pconfig.auth_type == "api_key":
return get_api_key_provider_status(target)
# AWS SDK providers (Bedrock) — check via boto3 credential chain
if pconfig and pconfig.auth_type == "aws_sdk":
try:
from agent.bedrock_adapter import has_aws_credentials
return {"logged_in": has_aws_credentials(), "provider": target}
except ImportError:
return {"logged_in": False, "provider": target, "error": "boto3 not installed"}
return {"logged_in": False}
@@ -2470,7 +2595,7 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
if pconfig.base_url_env_var:
env_url = os.getenv(pconfig.base_url_env_var, "").strip()
if provider_id == "kimi-coding":
if provider_id in ("kimi-coding", "kimi-coding-cn"):
base_url = _resolve_kimi_base_url(api_key, pconfig.inference_base_url, env_url)
elif provider_id == "zai":
base_url = _resolve_zai_base_url(api_key, pconfig.inference_base_url, env_url)
@@ -3172,6 +3297,14 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
inference_base_url = auth_state["inference_base_url"]
# Snapshot the prior active_provider BEFORE _save_provider_state
# overwrites it to "nous". If the user picks "Skip (keep current)"
# during model selection below, we restore this so the user's previous
# provider (e.g. openrouter) is preserved.
with _auth_store_lock():
_prior_store = _load_auth_store()
prior_active_provider = _prior_store.get("active_provider")
with _auth_store_lock():
auth_store = _load_auth_store()
_save_provider_state(auth_store, "nous", auth_state)
@@ -3231,6 +3364,27 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
print(f"Login succeeded, but could not fetch available models. Reason: {message}")
# Write provider + model atomically so config is never mismatched.
# If no model was selected (user picked "Skip (keep current)",
# model list fetch failed, or no curated models were available),
# preserve the user's previous provider — don't silently switch
# them to Nous with a mismatched model. The Nous OAuth tokens
# stay saved for future use.
if not selected_model:
# Restore the prior active_provider that _save_provider_state
# overwrote to "nous". config.yaml model.provider is left
# untouched, so the user's previous provider is fully preserved.
with _auth_store_lock():
auth_store = _load_auth_store()
if prior_active_provider:
auth_store["active_provider"] = prior_active_provider
else:
auth_store.pop("active_provider", None)
_save_auth_store(auth_store)
print()
print("No provider change. Nous credentials saved for future use.")
print(" Run `hermes model` again to switch to Nous Portal.")
return
config_path = _update_config_for_provider(
"nous", inference_base_url, default_model=selected_model,
)
+49 -3
View File
@@ -4,6 +4,7 @@ from __future__ import annotations
from getpass import getpass
import math
import sys
import time
from types import SimpleNamespace
import uuid
@@ -32,7 +33,7 @@ from hermes_constants import OPENROUTER_BASE_URL
# Providers that support OAuth login in addition to API keys.
_OAUTH_CAPABLE_PROVIDERS = {"anthropic", "nous", "openai-codex", "qwen-oauth"}
_OAUTH_CAPABLE_PROVIDERS = {"anthropic", "nous", "openai-codex", "qwen-oauth", "google-gemini-cli"}
def _get_custom_provider_names() -> list:
@@ -147,7 +148,7 @@ def auth_add_command(args) -> None:
if provider.startswith(CUSTOM_POOL_PREFIX):
requested_type = AUTH_TYPE_API_KEY
else:
requested_type = AUTH_TYPE_OAUTH if provider in {"anthropic", "nous", "openai-codex", "qwen-oauth"} else AUTH_TYPE_API_KEY
requested_type = AUTH_TYPE_OAUTH if provider in {"anthropic", "nous", "openai-codex", "qwen-oauth", "google-gemini-cli"} else AUTH_TYPE_API_KEY
pool = load_pool(provider)
@@ -160,7 +161,10 @@ def auth_add_command(args) -> None:
default_label = _api_key_default_label(len(pool.entries()) + 1)
label = (getattr(args, "label", None) or "").strip()
if not label:
label = input(f"Label (optional, default: {default_label}): ").strip() or default_label
if sys.stdin.isatty():
label = input(f"Label (optional, default: {default_label}): ").strip() or default_label
else:
label = default_label
entry = PooledCredential(
provider=provider,
id=uuid.uuid4().hex[:6],
@@ -250,6 +254,27 @@ def auth_add_command(args) -> None:
print(f'Added {provider} OAuth credential #{len(pool.entries())}: "{entry.label}"')
return
if provider == "google-gemini-cli":
from agent.google_oauth import run_gemini_oauth_login_pure
creds = run_gemini_oauth_login_pure()
label = (getattr(args, "label", None) or "").strip() or (
creds.get("email") or _oauth_default_label(provider, len(pool.entries()) + 1)
)
entry = PooledCredential(
provider=provider,
id=uuid.uuid4().hex[:6],
label=label,
auth_type=AUTH_TYPE_OAUTH,
priority=0,
source=f"{SOURCE_MANUAL}:google_pkce",
access_token=creds["access_token"],
refresh_token=creds.get("refresh_token"),
)
pool.add_entry(entry)
print(f'Added {provider} OAuth credential #{len(pool.entries())}: "{entry.label}"')
return
if provider == "qwen-oauth":
creds = auth_mod.resolve_qwen_runtime_credentials(refresh_if_expiring=False)
label = (getattr(args, "label", None) or "").strip() or label_from_token(
@@ -368,6 +393,27 @@ def _interactive_auth() -> None:
print("=" * 50)
auth_list_command(SimpleNamespace(provider=None))
# Show AWS Bedrock credential status (not in the pool — uses boto3 chain)
try:
from agent.bedrock_adapter import has_aws_credentials, resolve_aws_auth_env_var, resolve_bedrock_region
if has_aws_credentials():
auth_source = resolve_aws_auth_env_var() or "unknown"
region = resolve_bedrock_region()
print(f"bedrock (AWS SDK credential chain):")
print(f" Auth: {auth_source}")
print(f" Region: {region}")
try:
import boto3
sts = boto3.client("sts", region_name=region)
identity = sts.get_caller_identity()
arn = identity.get("Arn", "unknown")
print(f" Identity: {arn}")
except Exception:
print(f" Identity: (could not resolve — boto3 STS call failed)")
print()
except ImportError:
pass # boto3 or bedrock_adapter not available
print()
# Main menu
+19 -2
View File
@@ -102,6 +102,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--global]"),
CommandDef("provider", "Show available providers and current provider",
"Configuration"),
CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info"),
CommandDef("personality", "Set a predefined personality", "Configuration",
args_hint="[name]"),
@@ -164,7 +165,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
# Exit
CommandDef("quit", "Exit the CLI", "Exit",
cli_only=True, aliases=("exit", "q")),
cli_only=True, aliases=("exit",)),
]
@@ -450,7 +451,7 @@ def _collect_gateway_skill_entries(
name = sanitize_name(cmd_name) if sanitize_name else cmd_name
if not name:
continue
desc = "Plugin command"
desc = plugin_cmds[cmd_name].get("description", "Plugin command")
if len(desc) > desc_limit:
desc = desc[:desc_limit - 3] + "..."
plugin_pairs.append((name, desc))
@@ -1139,6 +1140,22 @@ class SlashCommandCompleter(Completer):
display_meta=f"{short_desc}",
)
# Plugin-registered slash commands
try:
from hermes_cli.plugins import get_plugin_commands
for cmd_name, cmd_info in get_plugin_commands().items():
if cmd_name.startswith(word):
desc = str(cmd_info.get("description", "Plugin command"))
short_desc = desc[:50] + ("..." if len(desc) > 50 else "")
yield Completion(
self._completion_text(cmd_name, word),
start_position=-len(word),
display=f"/{cmd_name}",
display_meta=f"🔌 {short_desc}",
)
except Exception:
pass
# ---------------------------------------------------------------------------
# Inline auto-suggest (ghost text) for slash commands
+232 -28
View File
@@ -23,7 +23,6 @@ from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Any, Optional, List, Tuple
from tools.tool_backend_helpers import managed_nous_tools_enabled as _managed_nous_tools_enabled
_IS_WINDOWS = platform.system() == "Windows"
_ENV_VAR_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
@@ -241,13 +240,41 @@ def _secure_dir(path):
pass
def _is_container() -> bool:
"""Detect if we're running inside a Docker/Podman/LXC container.
When Hermes runs in a container with volume-mounted config files, forcing
0o600 permissions breaks multi-process setups where the gateway and
dashboard run as different UIDs or the volume mount requires broader
permissions.
"""
# Explicit opt-out
if os.environ.get("HERMES_CONTAINER") or os.environ.get("HERMES_SKIP_CHMOD"):
return True
# Docker / Podman marker file
if os.path.exists("/.dockerenv"):
return True
# LXC / cgroup-based detection
try:
with open("/proc/1/cgroup", "r") as f:
cgroup_content = f.read()
if "docker" in cgroup_content or "lxc" in cgroup_content or "kubepods" in cgroup_content:
return True
except (OSError, IOError):
pass
return False
def _secure_file(path):
"""Set file to owner-only read/write (0600). No-op on Windows.
Skipped in managed mode the NixOS activation script sets
group-readable permissions (0640) on config files.
Skipped in containers Docker/Podman volume mounts often need broader
permissions. Set HERMES_SKIP_CHMOD=1 to force-skip on other systems.
"""
if is_managed():
if is_managed() or _is_container():
return
try:
if os.path.exists(str(path)):
@@ -392,8 +419,7 @@ DEFAULT_CONFIG = {
"allow_private_urls": False, # Allow navigating to private/internal IPs (localhost, 192.168.x.x, etc.)
"camofox": {
# When true, Hermes sends a stable profile-scoped userId to Camofox
# so the server can map it to a persistent browser profile directory.
# Requires Camofox server to be configured with CAMOFOX_PROFILE_DIR.
# so the server maps it to a persistent Firefox profile automatically.
# When false (default), each session gets a random userId (ephemeral).
"managed_persistence": False,
},
@@ -419,6 +445,27 @@ DEFAULT_CONFIG = {
"protect_last_n": 20, # minimum recent messages to keep uncompressed
},
# AWS Bedrock provider configuration.
# Only used when model.provider is "bedrock".
"bedrock": {
"region": "", # AWS region for Bedrock API calls (empty = AWS_REGION env var → us-east-1)
"discovery": {
"enabled": True, # Auto-discover models via ListFoundationModels
"provider_filter": [], # Only show models from these providers (e.g. ["anthropic", "amazon"])
"refresh_interval": 3600, # Cache discovery results for this many seconds
},
"guardrail": {
# Amazon Bedrock Guardrails — content filtering and safety policies.
# Create a guardrail in the Bedrock console, then set the ID and version here.
# See: https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html
"guardrail_identifier": "", # e.g. "abc123def456"
"guardrail_version": "", # e.g. "1" or "DRAFT"
"stream_processing_mode": "async", # "sync" or "async"
"trace": "disabled", # "enabled", "disabled", or "enabled_full"
},
},
"smart_model_routing": {
"enabled": False,
"max_simple_chars": 160,
@@ -510,6 +557,11 @@ DEFAULT_CONFIG = {
"platforms": {}, # Per-platform display overrides: {"telegram": {"tool_progress": "all"}, "slack": {"tool_progress": "off"}}
},
# Web dashboard settings
"dashboard": {
"theme": "default", # Dashboard visual theme: "default", "midnight", "ember", "mono", "cyberpunk", "rose"
},
# Privacy settings
"privacy": {
"redact_pii": False, # When True, hash user IDs and strip phone numbers from LLM context
@@ -517,7 +569,7 @@ DEFAULT_CONFIG = {
# Text-to-speech configuration
"tts": {
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai" | "minimax" | "mistral" | "neutts" (local)
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai" | "xai" | "minimax" | "mistral" | "neutts" (local)
"edge": {
"voice": "en-US-AriaNeural",
# Popular: AriaNeural, JennyNeural, AndrewNeural, BrianNeural, SoniaNeural
@@ -531,6 +583,12 @@ DEFAULT_CONFIG = {
"voice": "alloy",
# Voices: alloy, echo, fable, onyx, nova, shimmer
},
"xai": {
"voice_id": "eve",
"language": "en",
"sample_rate": 24000,
"bit_rate": 128000,
},
"mistral": {
"model": "voxtral-mini-tts-2603",
"voice_id": "c69964a6-ab8b-4f8a-9465-ec0925096ec8", # Paul - Neutral
@@ -638,6 +696,7 @@ DEFAULT_CONFIG = {
"allowed_channels": "", # If set, bot ONLY responds in these channel IDs (whitelist)
"auto_thread": True, # Auto-create threads on @mention in channels (like Slack)
"reactions": True, # Add 👀/✅/❌ reactions to messages during processing
"channel_prompts": {}, # Per-channel ephemeral system prompts (forum parents apply to child threads)
},
# WhatsApp platform settings (gateway mode)
@@ -648,6 +707,21 @@ DEFAULT_CONFIG = {
# Supports \n for newlines, e.g. "🤖 *My Bot*\n──────\n"
},
# Telegram platform settings (gateway mode)
"telegram": {
"channel_prompts": {}, # Per-chat/topic ephemeral system prompts (topics inherit from parent group)
},
# Slack platform settings (gateway mode)
"slack": {
"channel_prompts": {}, # Per-channel ephemeral system prompts
},
# Mattermost platform settings (gateway mode)
"mattermost": {
"channel_prompts": {}, # Per-channel ephemeral system prompts
},
# Approval mode for dangerous commands:
# manual — always prompt the user (default)
# smart — use auxiliary LLM to auto-approve low-risk commands, prompt for high-risk
@@ -703,7 +777,7 @@ DEFAULT_CONFIG = {
},
# Config schema version - bump this when adding new required fields
"_config_version": 17,
"_config_version": 18,
}
# =============================================================================
@@ -771,6 +845,22 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"XAI_API_KEY": {
"description": "xAI API key",
"prompt": "xAI API key",
"url": "https://console.x.ai/",
"password": True,
"category": "provider",
"advanced": True,
},
"XAI_BASE_URL": {
"description": "xAI base URL override",
"prompt": "xAI base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"GLM_API_KEY": {
"description": "Z.AI / GLM API key (also recognized as ZAI_API_KEY / Z_AI_API_KEY)",
"prompt": "Z.AI / GLM API key",
@@ -912,6 +1002,30 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"HERMES_GEMINI_CLIENT_ID": {
"description": "Google OAuth client ID for google-gemini-cli (optional; defaults to Google's public gemini-cli client)",
"prompt": "Google OAuth client ID (optional — leave empty to use the public default)",
"url": "https://console.cloud.google.com/apis/credentials",
"password": False,
"category": "provider",
"advanced": True,
},
"HERMES_GEMINI_CLIENT_SECRET": {
"description": "Google OAuth client secret for google-gemini-cli (optional)",
"prompt": "Google OAuth client secret (optional)",
"url": "https://console.cloud.google.com/apis/credentials",
"password": True,
"category": "provider",
"advanced": True,
},
"HERMES_GEMINI_PROJECT_ID": {
"description": "GCP project ID for paid Gemini tiers (free tier auto-provisions)",
"prompt": "GCP project ID for Gemini OAuth (leave empty for free tier)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"OPENCODE_ZEN_API_KEY": {
"description": "OpenCode Zen API key (pay-as-you-go access to curated models)",
"prompt": "OpenCode Zen API key",
@@ -959,6 +1073,22 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"OLLAMA_API_KEY": {
"description": "Ollama Cloud API key (ollama.com — cloud-hosted open models)",
"prompt": "Ollama Cloud API key",
"url": "https://ollama.com/settings",
"password": True,
"category": "provider",
"advanced": True,
},
"OLLAMA_BASE_URL": {
"description": "Ollama Cloud base URL override (default: https://ollama.com/v1)",
"prompt": "Ollama base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"XIAOMI_API_KEY": {
"description": "Xiaomi MiMo API key for MiMo models (mimo-v2-pro, mimo-v2-omni, mimo-v2-flash)",
"prompt": "Xiaomi MiMo API Key",
@@ -974,6 +1104,22 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"AWS_REGION": {
"description": "AWS region for Bedrock API calls (e.g. us-east-1, eu-central-1)",
"prompt": "AWS Region",
"url": "https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-regions.html",
"password": False,
"category": "provider",
"advanced": True,
},
"AWS_PROFILE": {
"description": "AWS named profile for Bedrock authentication (from ~/.aws/credentials)",
"prompt": "AWS Profile",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
# ── Tool API keys ──
"EXA_API_KEY": {
@@ -1171,6 +1317,12 @@ OPTIONAL_ENV_VARS = {
"password": False,
"category": "messaging",
},
"TELEGRAM_PROXY": {
"description": "Proxy URL for Telegram connections (overrides HTTPS_PROXY). Supports http://, https://, socks5://",
"prompt": "Telegram proxy URL (optional)",
"password": False,
"category": "messaging",
},
"DISCORD_BOT_TOKEN": {
"description": "Discord bot token from Developer Portal",
"prompt": "Discord bot token",
@@ -1468,13 +1620,8 @@ OPTIONAL_ENV_VARS = {
},
# ── Agent settings ──
"MESSAGING_CWD": {
"description": "Working directory for terminal commands via messaging",
"prompt": "Messaging working directory (default: home)",
"url": None,
"password": False,
"category": "setting",
},
# NOTE: MESSAGING_CWD was removed here — use terminal.cwd in config.yaml
# instead. The gateway reads TERMINAL_CWD (bridged from terminal.cwd).
"SUDO_PASSWORD": {
"description": "Sudo password for terminal commands requiring root access; set to an explicit empty string to try empty without prompting",
"prompt": "Sudo password",
@@ -1522,14 +1669,8 @@ OPTIONAL_ENV_VARS = {
},
}
if not _managed_nous_tools_enabled():
for _hidden_var in (
"FIRECRAWL_GATEWAY_URL",
"TOOL_GATEWAY_DOMAIN",
"TOOL_GATEWAY_SCHEME",
"TOOL_GATEWAY_USER_TOKEN",
):
OPTIONAL_ENV_VARS.pop(_hidden_var, None)
# Tool Gateway env vars are always visible — they're useful for
# self-hosted / custom gateway setups regardless of subscription state.
def get_missing_env_vars(required_only: bool = False) -> List[Dict[str, Any]]:
@@ -1953,6 +2094,52 @@ def print_config_warnings(config: Optional[Dict[str, Any]] = None) -> None:
sys.stderr.write("\n".join(lines) + "\n\n")
def warn_deprecated_cwd_env_vars(config: Optional[Dict[str, Any]] = None) -> None:
"""Warn if MESSAGING_CWD or TERMINAL_CWD is set in .env instead of config.yaml.
These env vars are deprecated the canonical setting is terminal.cwd
in config.yaml. Prints a migration hint to stderr.
"""
import os, sys
messaging_cwd = os.environ.get("MESSAGING_CWD")
terminal_cwd_env = os.environ.get("TERMINAL_CWD")
if config is None:
try:
config = load_config()
except Exception:
return
terminal_cfg = config.get("terminal", {})
config_cwd = terminal_cfg.get("cwd", ".") if isinstance(terminal_cfg, dict) else "."
# Only warn if config.yaml doesn't have an explicit path
config_has_explicit_cwd = config_cwd not in (".", "auto", "cwd", "")
lines: list[str] = []
if messaging_cwd:
lines.append(
f" \033[33m⚠\033[0m MESSAGING_CWD={messaging_cwd} found in .env — "
f"this is deprecated."
)
if terminal_cwd_env and not config_has_explicit_cwd:
# TERMINAL_CWD in env but not from config bridge — likely from .env
lines.append(
f" \033[33m⚠\033[0m TERMINAL_CWD={terminal_cwd_env} found in .env — "
f"this is deprecated."
)
if lines:
hint_path = os.environ.get("HERMES_HOME", "~/.hermes")
lines.insert(0, "\033[33m⚠ Deprecated .env settings detected:\033[0m")
lines.append(
f" \033[2mMove to config.yaml instead: "
f"terminal:\\n cwd: /your/project/path\033[0m"
)
lines.append(
f" \033[2mThen remove the old entries from {hint_path}/.env\033[0m"
)
sys.stderr.write("\n".join(lines) + "\n\n")
def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, Any]:
"""
Migrate config to latest version, prompting for new required fields.
@@ -2847,12 +3034,25 @@ def save_env_value(key: str, value: str):
lines.append(f"{key}={value}\n")
fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix='.tmp', prefix='.env_')
# Preserve original permissions so Docker volume mounts aren't clobbered.
original_mode = None
if env_path.exists():
try:
original_mode = stat.S_IMODE(env_path.stat().st_mode)
except OSError:
pass
try:
with os.fdopen(fd, 'w', **write_kw) as f:
f.writelines(lines)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, env_path)
# Restore original permissions before _secure_file may tighten them.
if original_mode is not None:
try:
os.chmod(env_path, original_mode)
except OSError:
pass
except BaseException:
try:
os.unlink(tmp_path)
@@ -2863,13 +3063,6 @@ def save_env_value(key: str, value: str):
os.environ[key] = value
# Restrict .env permissions to owner-only (contains API keys)
if not _IS_WINDOWS:
try:
os.chmod(env_path, stat.S_IRUSR | stat.S_IWUSR)
except OSError:
pass
def remove_env_value(key: str) -> bool:
"""Remove a key from ~/.hermes/.env and os.environ.
@@ -2898,12 +3091,23 @@ def remove_env_value(key: str) -> bool:
if found:
fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix='.tmp', prefix='.env_')
# Preserve original permissions so Docker volume mounts aren't clobbered.
original_mode = None
try:
original_mode = stat.S_IMODE(env_path.stat().st_mode)
except OSError:
pass
try:
with os.fdopen(fd, 'w', **write_kw) as f:
f.writelines(new_lines)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, env_path)
if original_mode is not None:
try:
os.chmod(env_path, original_mode)
except OSError:
pass
except BaseException:
try:
os.unlink(tmp_path)
+25 -4
View File
@@ -166,6 +166,7 @@ def curses_radiolist(
selected: int = 0,
*,
cancel_returns: int | None = None,
description: str | None = None,
) -> int:
"""Curses single-select radio list. Returns the selected index.
@@ -174,6 +175,9 @@ def curses_radiolist(
items: Display labels for each row.
selected: Index that starts selected (pre-selected).
cancel_returns: Returned on ESC/q. Defaults to the original *selected*.
description: Optional multi-line text shown between the title and
the item list. Useful for context that should survive the
curses screen clear.
"""
if cancel_returns is None:
cancel_returns = selected
@@ -181,6 +185,10 @@ def curses_radiolist(
if not sys.stdin.isatty():
return cancel_returns
desc_lines: list[str] = []
if description:
desc_lines = description.splitlines()
try:
import curses
result_holder: list = [None]
@@ -199,22 +207,35 @@ def curses_radiolist(
stdscr.clear()
max_y, max_x = stdscr.getmaxyx()
row = 0
# Header
try:
hattr = curses.A_BOLD
if curses.has_colors():
hattr |= curses.color_pair(2)
stdscr.addnstr(0, 0, title, max_x - 1, hattr)
stdscr.addnstr(row, 0, title, max_x - 1, hattr)
row += 1
# Description lines
for dline in desc_lines:
if row >= max_y - 1:
break
stdscr.addnstr(row, 0, dline, max_x - 1, curses.A_NORMAL)
row += 1
stdscr.addnstr(
1, 0,
row, 0,
" \u2191\u2193 navigate ENTER/SPACE select ESC cancel",
max_x - 1, curses.A_DIM,
)
row += 1
except curses.error:
pass
# Scrollable item list
visible_rows = max_y - 4
items_start = row + 1
visible_rows = max_y - items_start - 1
if cursor < scroll_offset:
scroll_offset = cursor
elif cursor >= scroll_offset + visible_rows:
@@ -223,7 +244,7 @@ def curses_radiolist(
for draw_i, i in enumerate(
range(scroll_offset, min(len(items), scroll_offset + visible_rows))
):
y = draw_i + 3
y = draw_i + items_start
if y >= max_y - 1:
break
radio = "\u25cf" if i == selected else "\u25cb"
+143 -2
View File
@@ -27,6 +27,110 @@ _DPASTE_COM_URL = "https://dpaste.com/api/"
# paste.rs caps at ~1 MB; we stay under that with headroom.
_MAX_LOG_BYTES = 512_000
# Auto-delete pastes after this many seconds (6 hours).
_AUTO_DELETE_SECONDS = 21600
# ---------------------------------------------------------------------------
# Privacy / delete helpers
# ---------------------------------------------------------------------------
_PRIVACY_NOTICE = """\
This will upload the following to a public paste service:
System info (OS, Python version, Hermes version, provider, which API keys
are configured NOT the actual keys)
Recent log lines (agent.log, errors.log, gateway.log may contain
conversation fragments and file paths)
Full agent.log and gateway.log (up to 512 KB each likely contains
conversation content, tool outputs, and file paths)
Pastes auto-delete after 6 hours.
"""
_GATEWAY_PRIVACY_NOTICE = (
"⚠️ **Privacy notice:** This uploads system info + recent log tails "
"(may contain conversation fragments) to a public paste service. "
"Full logs are NOT included from the gateway — use `hermes debug share` "
"from the CLI for full log uploads.\n"
"Pastes auto-delete after 6 hours."
)
def _extract_paste_id(url: str) -> Optional[str]:
"""Extract the paste ID from a paste.rs or dpaste.com URL.
Returns the ID string, or None if the URL doesn't match a known service.
"""
url = url.strip().rstrip("/")
for prefix in ("https://paste.rs/", "http://paste.rs/"):
if url.startswith(prefix):
return url[len(prefix):]
return None
def delete_paste(url: str) -> bool:
"""Delete a paste from paste.rs. Returns True on success.
Only paste.rs supports unauthenticated DELETE. dpaste.com pastes
expire automatically but cannot be deleted via API.
"""
paste_id = _extract_paste_id(url)
if not paste_id:
raise ValueError(
f"Cannot delete: only paste.rs URLs are supported. Got: {url}"
)
target = f"{_PASTE_RS_URL}{paste_id}"
req = urllib.request.Request(
target, method="DELETE",
headers={"User-Agent": "hermes-agent/debug-share"},
)
with urllib.request.urlopen(req, timeout=30) as resp:
return 200 <= resp.status < 300
def _schedule_auto_delete(urls: list[str], delay_seconds: int = _AUTO_DELETE_SECONDS):
"""Spawn a detached process to delete paste.rs pastes after *delay_seconds*.
The child process is fully detached (``start_new_session=True``) so it
survives the parent exiting (important for CLI mode). Only paste.rs
URLs are attempted dpaste.com pastes auto-expire on their own.
"""
import subprocess
paste_rs_urls = [u for u in urls if _extract_paste_id(u)]
if not paste_rs_urls:
return
# Build a tiny inline Python script. No imports beyond stdlib.
url_list = ", ".join(f'"{u}"' for u in paste_rs_urls)
script = (
"import time, urllib.request; "
f"time.sleep({delay_seconds}); "
f"[urllib.request.urlopen(urllib.request.Request(u, method='DELETE', "
f"headers={{'User-Agent': 'hermes-agent/auto-delete'}}), timeout=15) "
f"for u in [{url_list}]]"
)
try:
subprocess.Popen(
[sys.executable, "-c", script],
start_new_session=True,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
except Exception:
pass # Best-effort; manual delete still available.
def _delete_hint(url: str) -> str:
"""Return a one-liner delete command for the given paste URL."""
paste_id = _extract_paste_id(url)
if paste_id:
return f"hermes debug delete {url}"
# dpaste.com — no API delete, expires on its own.
return "(auto-expires per dpaste.com policy)"
def _upload_paste_rs(content: str) -> str:
"""Upload to paste.rs. Returns the paste URL.
@@ -250,6 +354,9 @@ def run_debug_share(args):
expiry = getattr(args, "expire", 7)
local_only = getattr(args, "local", False)
if not local_only:
print(_PRIVACY_NOTICE)
print("Collecting debug report...")
# Capture dump once — prepended to every paste for context.
@@ -315,22 +422,56 @@ def run_debug_share(args):
if failures:
print(f"\n (failed to upload: {', '.join(failures)})")
# Schedule auto-deletion after 6 hours
_schedule_auto_delete(list(urls.values()))
print(f"\n⏱ Pastes will auto-delete in 6 hours.")
# Manual delete fallback
print(f"To delete now: hermes debug delete <url>")
print(f"\nShare these links with the Hermes team for support.")
def run_debug_delete(args):
"""Delete one or more paste URLs uploaded by /debug."""
urls = getattr(args, "urls", [])
if not urls:
print("Usage: hermes debug delete <url> [<url> ...]")
print(" Deletes paste.rs pastes uploaded by 'hermes debug share'.")
return
for url in urls:
try:
ok = delete_paste(url)
if ok:
print(f" ✓ Deleted: {url}")
else:
print(f" ✗ Failed to delete: {url} (unexpected response)")
except ValueError as exc:
print(f"{exc}")
except Exception as exc:
print(f" ✗ Could not delete {url}: {exc}")
def run_debug(args):
"""Route debug subcommands."""
subcmd = getattr(args, "debug_command", None)
if subcmd == "share":
run_debug_share(args)
elif subcmd == "delete":
run_debug_delete(args)
else:
# Default: show help
print("Usage: hermes debug share [--lines N] [--expire N] [--local]")
print("Usage: hermes debug <command>")
print()
print("Commands:")
print(" share Upload debug report to a paste service and print URL")
print(" delete Delete a previously uploaded paste")
print()
print("Options:")
print("Options (share):")
print(" --lines N Number of log lines to include (default: 200)")
print(" --expire N Paste expiry in days (default: 7)")
print(" --local Print report locally instead of uploading")
print()
print("Options (delete):")
print(" <url> ... One or more paste URLs to delete")
+46 -2
View File
@@ -373,7 +373,11 @@ def run_doctor(args):
print(color("◆ Auth Providers", Colors.CYAN, Colors.BOLD))
try:
from hermes_cli.auth import get_nous_auth_status, get_codex_auth_status
from hermes_cli.auth import (
get_nous_auth_status,
get_codex_auth_status,
get_gemini_oauth_auth_status,
)
nous_status = get_nous_auth_status()
if nous_status.get("logged_in"):
@@ -388,6 +392,20 @@ def run_doctor(args):
check_warn("OpenAI Codex auth", "(not logged in)")
if codex_status.get("error"):
check_info(codex_status["error"])
gemini_status = get_gemini_oauth_auth_status()
if gemini_status.get("logged_in"):
email = gemini_status.get("email") or ""
project = gemini_status.get("project_id") or ""
pieces = []
if email:
pieces.append(email)
if project:
pieces.append(f"project={project}")
suffix = f" ({', '.join(pieces)})" if pieces else ""
check_ok("Google Gemini OAuth", f"(logged in{suffix})")
else:
check_warn("Google Gemini OAuth", "(not logged in)")
except Exception as e:
check_warn("Auth provider status", f"(could not check: {e})")
@@ -814,7 +832,8 @@ def run_doctor(args):
("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),
# OpenCode Go has no shared /models endpoint; skip the health check.
("OpenCode Go", ("OPENCODE_GO_API_KEY",), None, "OPENCODE_GO_BASE_URL", False),
]
for _pname, _env_vars, _default_url, _base_env, _supports_health_check in _apikey_providers:
_key = ""
@@ -859,6 +878,31 @@ def run_doctor(args):
except Exception as _e:
print(f"\r {color('', Colors.YELLOW)} {_label} {color(f'({_e})', Colors.DIM)} ")
# -- AWS Bedrock --
# Bedrock uses the AWS SDK credential chain, not API keys.
try:
from agent.bedrock_adapter import has_aws_credentials, resolve_aws_auth_env_var, resolve_bedrock_region
if has_aws_credentials():
_auth_var = resolve_aws_auth_env_var()
_region = resolve_bedrock_region()
_label = "AWS Bedrock".ljust(20)
print(f" Checking AWS Bedrock...", end="", flush=True)
try:
import boto3
_br_client = boto3.client("bedrock", region_name=_region)
_br_resp = _br_client.list_foundation_models()
_model_count = len(_br_resp.get("modelSummaries", []))
print(f"\r {color('', Colors.GREEN)} {_label} {color(f'({_auth_var}, {_region}, {_model_count} models)', Colors.DIM)} ")
except ImportError:
print(f"\r {color('', Colors.YELLOW)} {_label} {color('(boto3 not installed — pip install hermes-agent[bedrock])', Colors.DIM)} ")
issues.append("Install boto3 for Bedrock: pip install hermes-agent[bedrock]")
except Exception as _e:
_err_name = type(_e).__name__
print(f"\r {color('', Colors.YELLOW)} {_label} {color(f'({_err_name}: {_e})', Colors.DIM)} ")
issues.append(f"AWS Bedrock: {_err_name} — check IAM permissions for bedrock:ListFoundationModels")
except ImportError:
pass # bedrock_adapter not available — skip silently
# =========================================================================
# Check: Submodules
# =========================================================================
+1 -1
View File
@@ -222,7 +222,7 @@ def find_gateway_pids(exclude_pids: set | None = None, all_profiles: bool = Fals
current_cmd = ""
else:
result = subprocess.run(
["ps", "eww", "-ax", "-o", "pid=,command="],
["ps", "-A", "eww", "-o", "pid=,command="],
capture_output=True,
text=True,
timeout=10,
+478 -47
View File
@@ -1118,6 +1118,8 @@ def select_provider_and_model(args=None):
_model_flow_openai_codex(config, current_model)
elif selected_provider == "qwen-oauth":
_model_flow_qwen_oauth(config, current_model)
elif selected_provider == "google-gemini-cli":
_model_flow_google_gemini_cli(config, current_model)
elif selected_provider == "copilot-acp":
_model_flow_copilot_acp(config, current_model)
elif selected_provider == "copilot":
@@ -1139,7 +1141,9 @@ 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", "deepseek", "xai", "zai", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "opencode-zen", "opencode-go", "ai-gateway", "alibaba", "huggingface", "xiaomi", "arcee"):
elif selected_provider == "bedrock":
_model_flow_bedrock(config, current_model)
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", "ollama-cloud"):
_model_flow_api_key_provider(config, selected_provider, current_model)
# ── Post-switch cleanup: clear stale OPENAI_BASE_URL ──────────────
@@ -1275,11 +1279,8 @@ def _model_flow_nous(config, current_model="", args=None):
AuthError, format_auth_error,
_login_nous, PROVIDER_REGISTRY,
)
from hermes_cli.config import get_env_value, save_config, save_env_value
from hermes_cli.nous_subscription import (
apply_nous_provider_defaults,
get_nous_subscription_explainer_lines,
)
from hermes_cli.config import get_env_value, load_config, save_config, save_env_value
from hermes_cli.nous_subscription import prompt_enable_tool_gateway
import argparse
state = get_provider_auth_state("nous")
@@ -1298,9 +1299,12 @@ def _model_flow_nous(config, current_model="", args=None):
insecure=bool(getattr(args, "insecure", False)),
)
_login_nous(mock_args, PROVIDER_REGISTRY["nous"])
print()
for line in get_nous_subscription_explainer_lines():
print(line)
# Offer Tool Gateway enablement for paid subscribers
try:
_refreshed = load_config() or {}
prompt_enable_tool_gateway(_refreshed)
except Exception:
pass
except SystemExit:
print("Login cancelled or failed.")
return
@@ -1408,18 +1412,10 @@ def _model_flow_nous(config, current_model="", args=None):
if get_env_value("OPENAI_BASE_URL"):
save_env_value("OPENAI_BASE_URL", "")
save_env_value("OPENAI_API_KEY", "")
changed_defaults = apply_nous_provider_defaults(config)
save_config(config)
print(f"Default model set to: {selected} (via Nous Portal)")
if "tts" in changed_defaults:
print("TTS provider set to: OpenAI TTS via your Nous subscription")
else:
current_tts = str(config.get("tts", {}).get("provider") or "edge")
if current_tts.lower() not in {"", "edge"}:
print(f"Keeping your existing TTS provider: {current_tts}")
print()
for line in get_nous_subscription_explainer_lines():
print(line)
# Offer Tool Gateway enablement for paid subscribers
prompt_enable_tool_gateway(config)
else:
print("No change.")
@@ -1526,6 +1522,76 @@ def _model_flow_qwen_oauth(_config, current_model=""):
print("No change.")
def _model_flow_google_gemini_cli(_config, current_model=""):
"""Google Gemini OAuth (PKCE) via Cloud Code Assist — supports free AND paid tiers.
Flow:
1. Show upfront warning about Google's ToS stance (per opencode-gemini-auth).
2. If creds missing, run PKCE browser OAuth via agent.google_oauth.
3. Resolve project context (env -> config -> auto-discover -> free tier).
4. Prompt user to pick a model.
5. Save to ~/.hermes/config.yaml.
"""
from hermes_cli.auth import (
DEFAULT_GEMINI_CLOUDCODE_BASE_URL,
get_gemini_oauth_auth_status,
resolve_gemini_oauth_runtime_credentials,
_prompt_model_selection,
_save_model_choice,
_update_config_for_provider,
)
from hermes_cli.models import _PROVIDER_MODELS
print()
print("⚠ Google considers using the Gemini CLI OAuth client with third-party")
print(" software a policy violation. Some users have reported account")
print(" restrictions. You can use your own API key via 'gemini' provider")
print(" for the lowest-risk experience.")
print()
try:
proceed = input("Continue with OAuth login? [y/N]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
print("Cancelled.")
return
if proceed not in {"y", "yes"}:
print("Cancelled.")
return
status = get_gemini_oauth_auth_status()
if not status.get("logged_in"):
try:
from agent.google_oauth import resolve_project_id_from_env, start_oauth_flow
env_project = resolve_project_id_from_env()
start_oauth_flow(force_relogin=True, project_id=env_project)
except Exception as exc:
print(f"OAuth login failed: {exc}")
return
# Verify creds resolve + trigger project discovery
try:
creds = resolve_gemini_oauth_runtime_credentials(force_refresh=False)
project_id = creds.get("project_id", "")
if project_id:
print(f" Using GCP project: {project_id}")
else:
print(" No GCP project configured — free tier will be auto-provisioned on first request.")
except Exception as exc:
print(f"Failed to resolve Gemini credentials: {exc}")
return
models = list(_PROVIDER_MODELS.get("google-gemini-cli") or [])
default = current_model or (models[0] if models else "gemini-2.5-flash")
selected = _prompt_model_selection(models, current_model=default)
if selected:
_save_model_choice(selected)
_update_config_for_provider("google-gemini-cli", DEFAULT_GEMINI_CLOUDCODE_BASE_URL)
print(f"Default model set to: {selected} (via Google Gemini OAuth / Code Assist)")
else:
print("No change.")
def _model_flow_custom(config):
"""Custom endpoint: collect URL, API key, and model name.
@@ -1566,6 +1632,27 @@ def _model_flow_custom(config):
effective_key = api_key or current_key
# Hint: most local model servers (Ollama, vLLM, llama.cpp) require /v1
# in the base URL for OpenAI-compatible chat completions. Prompt the
# user if the URL looks like a local server without /v1.
_url_lower = effective_url.rstrip("/").lower()
_looks_local = any(h in _url_lower for h in ("localhost", "127.0.0.1", "0.0.0.0", ":11434", ":8080", ":5000"))
if _looks_local and not _url_lower.endswith("/v1"):
print()
print(f" Hint: Did you mean to add /v1 at the end?")
print(f" Most local model servers (Ollama, vLLM, llama.cpp) require it.")
print(f" e.g. {effective_url.rstrip('/')}/v1")
try:
_add_v1 = input(" Add /v1? [Y/n]: ").strip().lower()
except (KeyboardInterrupt, EOFError):
_add_v1 = "n"
if _add_v1 in ("", "y", "yes"):
effective_url = effective_url.rstrip("/") + "/v1"
if base_url:
base_url = effective_url
print(f" Updated URL: {effective_url}")
print()
from hermes_cli.models import probe_api_models
probe = probe_api_models(effective_key, effective_url)
@@ -2425,6 +2512,252 @@ def _model_flow_kimi(config, current_model=""):
print("No change.")
def _model_flow_bedrock_api_key(config, region, current_model=""):
"""Bedrock API Key mode — uses the OpenAI-compatible bedrock-mantle endpoint.
For developers who don't have an AWS account but received a Bedrock API Key
from their AWS admin. Works like any OpenAI-compatible endpoint.
"""
from hermes_cli.auth import _prompt_model_selection, _save_model_choice, deactivate_provider
from hermes_cli.config import load_config, save_config, get_env_value, save_env_value
from hermes_cli.models import _PROVIDER_MODELS
mantle_base_url = f"https://bedrock-mantle.{region}.api.aws/v1"
# Prompt for API key
existing_key = get_env_value("AWS_BEARER_TOKEN_BEDROCK") or ""
if existing_key:
print(f" Bedrock API Key: {existing_key[:12]}... ✓")
else:
print(f" Endpoint: {mantle_base_url}")
print()
try:
import getpass
api_key = getpass.getpass(" Bedrock API Key: ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
if not api_key:
print(" Cancelled.")
return
save_env_value("AWS_BEARER_TOKEN_BEDROCK", api_key)
existing_key = api_key
print(" ✓ API key saved.")
print()
# Model selection — use static list (mantle doesn't need boto3 for discovery)
model_list = _PROVIDER_MODELS.get("bedrock", [])
print(f" Showing {len(model_list)} curated models")
if model_list:
selected = _prompt_model_selection(model_list, current_model=current_model)
else:
try:
selected = input(" Model ID: ").strip()
except (KeyboardInterrupt, EOFError):
selected = None
if selected:
_save_model_choice(selected)
# Save as custom provider pointing to bedrock-mantle
cfg = load_config()
model = cfg.get("model")
if not isinstance(model, dict):
model = {"default": model} if model else {}
cfg["model"] = model
model["provider"] = "custom"
model["base_url"] = mantle_base_url
model.pop("api_mode", None) # chat_completions is the default
# Also save region in bedrock config for reference
bedrock_cfg = cfg.get("bedrock", {})
if not isinstance(bedrock_cfg, dict):
bedrock_cfg = {}
bedrock_cfg["region"] = region
cfg["bedrock"] = bedrock_cfg
# Save the API key env var name so hermes knows where to find it
save_env_value("OPENAI_API_KEY", existing_key)
save_env_value("OPENAI_BASE_URL", mantle_base_url)
save_config(cfg)
deactivate_provider()
print(f" Default model set to: {selected} (via Bedrock API Key, {region})")
print(f" Endpoint: {mantle_base_url}")
else:
print(" No change.")
def _model_flow_bedrock(config, current_model=""):
"""AWS Bedrock provider: verify credentials, pick region, discover models.
Uses the native Converse API via boto3 not the OpenAI-compatible endpoint.
Auth is handled by the AWS SDK default credential chain (env vars, profile,
instance role), so no API key prompt is needed.
"""
from hermes_cli.auth import _prompt_model_selection, _save_model_choice, deactivate_provider
from hermes_cli.config import load_config, save_config
from hermes_cli.models import _PROVIDER_MODELS
# 1. Check for AWS credentials
try:
from agent.bedrock_adapter import (
has_aws_credentials,
resolve_aws_auth_env_var,
resolve_bedrock_region,
discover_bedrock_models,
)
except ImportError:
print(" ✗ boto3 is not installed. Install it with:")
print(" pip install boto3")
print()
return
if not has_aws_credentials():
print(" ⚠ No AWS credentials detected via environment variables.")
print(" Bedrock will use boto3's default credential chain (IMDS, SSO, etc.)")
print()
auth_var = resolve_aws_auth_env_var()
if auth_var:
print(f" AWS credentials: {auth_var}")
else:
print(" AWS credentials: boto3 default chain (instance role / SSO)")
print()
# 2. Region selection
current_region = resolve_bedrock_region()
try:
region_input = input(f" AWS Region [{current_region}]: ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
region = region_input or current_region
# 2b. Authentication mode
print(" Choose authentication method:")
print()
print(" 1. IAM credential chain (recommended)")
print(" Works with EC2 instance roles, SSO, env vars, aws configure")
print(" 2. Bedrock API Key")
print(" Enter your Bedrock API Key directly — also supports")
print(" team scenarios where an admin distributes keys")
print()
try:
auth_choice = input(" Choice [1]: ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
if auth_choice == "2":
_model_flow_bedrock_api_key(config, region, current_model)
return
# 3. Model discovery — try live API first, fall back to static list
print(f" Discovering models in {region}...")
live_models = discover_bedrock_models(region)
if live_models:
_EXCLUDE_PREFIXES = (
"stability.", "cohere.embed", "twelvelabs.", "us.stability.",
"us.cohere.embed", "us.twelvelabs.", "global.cohere.embed",
"global.twelvelabs.",
)
_EXCLUDE_SUBSTRINGS = ("safeguard", "voxtral", "palmyra-vision")
filtered = []
for m in live_models:
mid = m["id"]
if any(mid.startswith(p) for p in _EXCLUDE_PREFIXES):
continue
if any(s in mid.lower() for s in _EXCLUDE_SUBSTRINGS):
continue
filtered.append(m)
# Deduplicate: prefer inference profiles (us.*, global.*) over bare
# foundation model IDs.
profile_base_ids = set()
for m in filtered:
mid = m["id"]
if mid.startswith(("us.", "global.")):
base = mid.split(".", 1)[1] if "." in mid[3:] else mid
profile_base_ids.add(base)
deduped = []
for m in filtered:
mid = m["id"]
if not mid.startswith(("us.", "global.")) and mid in profile_base_ids:
continue
deduped.append(m)
_RECOMMENDED = [
"us.anthropic.claude-sonnet-4-6",
"us.anthropic.claude-opus-4-6",
"us.anthropic.claude-haiku-4-5",
"us.amazon.nova-pro",
"us.amazon.nova-lite",
"us.amazon.nova-micro",
"deepseek.v3",
"us.meta.llama4-maverick",
"us.meta.llama4-scout",
]
def _sort_key(m):
mid = m["id"]
for i, rec in enumerate(_RECOMMENDED):
if mid.startswith(rec):
return (0, i, mid)
if mid.startswith("global."):
return (1, 0, mid)
return (2, 0, mid)
deduped.sort(key=_sort_key)
model_list = [m["id"] for m in deduped]
print(f" Found {len(model_list)} text model(s) (filtered from {len(live_models)} total)")
else:
model_list = _PROVIDER_MODELS.get("bedrock", [])
if model_list:
print(f" Using {len(model_list)} curated models (live discovery unavailable)")
else:
print(" No models found. Check IAM permissions for bedrock:ListFoundationModels.")
return
# 4. Model selection
if model_list:
selected = _prompt_model_selection(model_list, current_model=current_model)
else:
try:
selected = input(" Model ID: ").strip()
except (KeyboardInterrupt, EOFError):
selected = None
if selected:
_save_model_choice(selected)
cfg = load_config()
model = cfg.get("model")
if not isinstance(model, dict):
model = {"default": model} if model else {}
cfg["model"] = model
model["provider"] = "bedrock"
model["base_url"] = f"https://bedrock-runtime.{region}.amazonaws.com"
model.pop("api_mode", None) # bedrock_converse is auto-detected
bedrock_cfg = cfg.get("bedrock", {})
if not isinstance(bedrock_cfg, dict):
bedrock_cfg = {}
bedrock_cfg["region"] = region
cfg["bedrock"] = bedrock_cfg
save_config(cfg)
deactivate_provider()
print(f" Default model set to: {selected} (via AWS Bedrock, {region})")
else:
print(" No change.")
def _model_flow_api_key_provider(config, provider_id, current_model=""):
"""Generic flow for API-key providers (z.ai, MiniMax, OpenCode, etc.)."""
from hermes_cli.auth import (
@@ -2486,34 +2819,43 @@ def _model_flow_api_key_provider(config, provider_id, current_model=""):
# 1. models.dev registry (cached, filtered for agentic/tool-capable models)
# 2. Curated static fallback list (offline insurance)
# 3. Live /models endpoint probe (small providers without models.dev data)
curated = _PROVIDER_MODELS.get(provider_id, [])
# Try models.dev first — returns tool-capable models, filtered for noise
mdev_models: list = []
try:
from agent.models_dev import list_agentic_models
mdev_models = list_agentic_models(provider_id)
except Exception:
pass
if mdev_models:
model_list = mdev_models
print(f" Found {len(model_list)} model(s) from models.dev registry")
elif curated and len(curated) >= 8:
# Curated list is substantial — use it directly, skip live probe
model_list = curated
print(f" Showing {len(model_list)} curated models — use \"Enter custom model name\" for others.")
else:
#
# Ollama Cloud: dedicated merged discovery (live API + models.dev + disk cache)
if provider_id == "ollama-cloud":
from hermes_cli.models import fetch_ollama_cloud_models
api_key_for_probe = existing_key or (get_env_value(key_env) if key_env else "")
live_models = fetch_api_models(api_key_for_probe, effective_base)
if live_models and len(live_models) >= len(curated):
model_list = live_models
print(f" Found {len(model_list)} model(s) from {pconfig.name} API")
else:
model_list = fetch_ollama_cloud_models(api_key=api_key_for_probe, base_url=effective_base)
if model_list:
print(f" Found {len(model_list)} model(s) from Ollama Cloud")
else:
curated = _PROVIDER_MODELS.get(provider_id, [])
# Try models.dev first — returns tool-capable models, filtered for noise
mdev_models: list = []
try:
from agent.models_dev import list_agentic_models
mdev_models = list_agentic_models(provider_id)
except Exception:
pass
if mdev_models:
model_list = mdev_models
print(f" Found {len(model_list)} model(s) from models.dev registry")
elif curated and len(curated) >= 8:
# Curated list is substantial — use it directly, skip live probe
model_list = curated
if model_list:
print(f" Showing {len(model_list)} curated models — use \"Enter custom model name\" for others.")
# else: no defaults either, will fall through to raw input
print(f" Showing {len(model_list)} curated models — use \"Enter custom model name\" for others.")
else:
api_key_for_probe = existing_key or (get_env_value(key_env) if key_env else "")
live_models = fetch_api_models(api_key_for_probe, effective_base)
if live_models and len(live_models) >= len(curated):
model_list = live_models
print(f" Found {len(model_list)} model(s) from {pconfig.name} API")
else:
model_list = curated
if model_list:
print(f" Showing {len(model_list)} curated models — use \"Enter custom model name\" for others.")
# else: no defaults either, will fall through to raw input
if provider_id in {"opencode-zen", "opencode-go"}:
model_list = [normalize_opencode_model_id(provider_id, mid) for mid in model_list]
@@ -4612,7 +4954,7 @@ 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", "arcee"],
choices=["auto", "openrouter", "nous", "openai-codex", "copilot-acp", "copilot", "anthropic", "gemini", "xai", "ollama-cloud", "huggingface", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "kilocode", "xiaomi", "arcee"],
default=None,
help="Inference provider (default: auto)"
)
@@ -5073,6 +5415,7 @@ Examples:
hermes debug share --lines 500 Include more log lines
hermes debug share --expire 30 Keep paste for 30 days
hermes debug share --local Print report locally (no upload)
hermes debug delete <url> Delete a previously uploaded paste
""",
)
debug_sub = debug_parser.add_subparsers(dest="debug_command")
@@ -5092,6 +5435,14 @@ Examples:
"--local", action="store_true",
help="Print the report locally instead of uploading",
)
delete_parser = debug_sub.add_parser(
"delete",
help="Delete a paste uploaded by 'hermes debug share'",
)
delete_parser.add_argument(
"urls", nargs="*", default=[],
help="One or more paste URLs to delete (e.g. https://paste.rs/abc123)",
)
debug_parser.set_defaults(func=cmd_debug)
# =========================================================================
@@ -5249,6 +5600,25 @@ Examples:
skills_uninstall = skills_subparsers.add_parser("uninstall", help="Remove a hub-installed skill")
skills_uninstall.add_argument("name", help="Skill name to remove")
skills_reset = skills_subparsers.add_parser(
"reset",
help="Reset a bundled skill — clears 'user-modified' tracking so updates work again",
description=(
"Clear a bundled skill's entry from the sync manifest (~/.hermes/skills/.bundled_manifest) "
"so future 'hermes update' runs stop marking it as user-modified. Pass --restore to also "
"replace the current copy with the bundled version."
),
)
skills_reset.add_argument("name", help="Skill name to reset (e.g. google-workspace)")
skills_reset.add_argument(
"--restore", action="store_true",
help="Also delete the current copy and re-copy the bundled version",
)
skills_reset.add_argument(
"--yes", "-y", action="store_true",
help="Skip confirmation prompt when using --restore",
)
skills_publish = skills_subparsers.add_parser("publish", help="Publish a skill to a registry")
skills_publish.add_argument("skill_path", help="Path to skill directory")
skills_publish.add_argument("--to", default="github", choices=["github", "clawhub"], help="Target registry")
@@ -5372,6 +5742,18 @@ Examples:
memory_sub.add_parser("setup", help="Interactive provider selection and configuration")
memory_sub.add_parser("status", help="Show current memory provider config")
memory_sub.add_parser("off", help="Disable external provider (built-in only)")
_reset_parser = memory_sub.add_parser(
"reset",
help="Erase all built-in memory (MEMORY.md and USER.md)",
)
_reset_parser.add_argument(
"--yes", "-y", action="store_true",
help="Skip confirmation prompt",
)
_reset_parser.add_argument(
"--target", choices=["all", "memory", "user"], default="all",
help="Which store to reset: 'all' (default), 'memory', or 'user'",
)
def cmd_memory(args):
sub = getattr(args, "memory_command", None)
@@ -5384,6 +5766,44 @@ Examples:
save_config(config)
print("\n ✓ Memory provider: built-in only")
print(" Saved to config.yaml\n")
elif sub == "reset":
from hermes_constants import get_hermes_home, display_hermes_home
mem_dir = get_hermes_home() / "memories"
target = getattr(args, "target", "all")
files_to_reset = []
if target in ("all", "memory"):
files_to_reset.append(("MEMORY.md", "agent notes"))
if target in ("all", "user"):
files_to_reset.append(("USER.md", "user profile"))
# Check what exists
existing = [(f, desc) for f, desc in files_to_reset if (mem_dir / f).exists()]
if not existing:
print(f"\n Nothing to reset — no memory files found in {display_hermes_home()}/memories/\n")
return
print(f"\n This will permanently erase the following memory files:")
for f, desc in existing:
path = mem_dir / f
size = path.stat().st_size
print(f"{f} ({desc}) — {size:,} bytes")
if not getattr(args, "yes", False):
try:
answer = input("\n Type 'yes' to confirm: ").strip().lower()
except (EOFError, KeyboardInterrupt):
print("\n Cancelled.\n")
return
if answer != "yes":
print(" Cancelled.\n")
return
for f, desc in existing:
(mem_dir / f).unlink()
print(f" ✓ Deleted {f} ({desc})")
print(f"\n Memory reset complete. New sessions will start with a blank slate.")
print(f" Files were in: {display_hermes_home()}/memories/\n")
else:
from hermes_cli.memory_setup import memory_command
memory_command(args)
@@ -5503,6 +5923,12 @@ Examples:
mcp_cfg_p = mcp_sub.add_parser("configure", aliases=["config"], help="Toggle tool selection")
mcp_cfg_p.add_argument("name", help="Server name to configure")
mcp_login_p = mcp_sub.add_parser(
"login",
help="Force re-authentication for an OAuth-based MCP server",
)
mcp_login_p.add_argument("name", help="Server name to re-authenticate")
def cmd_mcp(args):
from hermes_cli.mcp_config import mcp_command
mcp_command(args)
@@ -6068,8 +6494,13 @@ Examples:
sys.stderr = _io.StringIO()
args = parser.parse_args(_processed_argv)
sys.stderr = _saved_stderr
except SystemExit:
except SystemExit as exc:
sys.stderr = _saved_stderr
# Help/version flags (exit code 0) already printed output —
# re-raise immediately to avoid a second parse_args printing
# the same help text again (#10230).
if exc.code == 0:
raise
# 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
+66 -5
View File
@@ -279,8 +279,8 @@ def cmd_mcp_add(args):
_info(f"Starting OAuth flow for '{name}'...")
oauth_ok = False
try:
from tools.mcp_oauth import build_oauth_auth
oauth_auth = build_oauth_auth(name, url)
from tools.mcp_oauth_manager import get_manager
oauth_auth = get_manager().get_or_build_provider(name, url, None)
if oauth_auth:
server_config["auth"] = "oauth"
_success("OAuth configured (tokens will be acquired on first connection)")
@@ -428,10 +428,12 @@ def cmd_mcp_remove(args):
_remove_mcp_server(name)
_success(f"Removed '{name}' from config")
# Clean up OAuth tokens if they exist
# Clean up OAuth tokens if they exist — route through MCPOAuthManager so
# any provider instance cached in the current process (e.g. from an
# earlier `hermes mcp test` in the same session) is evicted too.
try:
from tools.mcp_oauth import remove_oauth_tokens
remove_oauth_tokens(name)
from tools.mcp_oauth_manager import get_manager
get_manager().remove(name)
_success("Cleaned up OAuth tokens")
except Exception:
pass
@@ -577,6 +579,63 @@ def _interpolate_value(value: str) -> str:
return re.sub(r"\$\{(\w+)\}", _replace, value)
# ─── hermes mcp login ────────────────────────────────────────────────────────
def cmd_mcp_login(args):
"""Force re-authentication for an OAuth-based MCP server.
Deletes cached tokens (both on disk and in the running process's
MCPOAuthManager cache) and triggers a fresh OAuth flow via the
existing probe path.
Use this when:
- Tokens are stuck in a bad state (server revoked, refresh token
consumed by an external process, etc.)
- You want to re-authenticate to change scopes or account
- A tool call returned ``needs_reauth: true``
"""
name = args.name
servers = _get_mcp_servers()
if name not in servers:
_error(f"Server '{name}' not found in config.")
if servers:
_info(f"Available servers: {', '.join(servers)}")
return
server_config = servers[name]
url = server_config.get("url")
if not url:
_error(f"Server '{name}' has no URL — not an OAuth-capable server")
return
if server_config.get("auth") != "oauth":
_error(f"Server '{name}' is not configured for OAuth (auth={server_config.get('auth')})")
_info("Use `hermes mcp remove` + `hermes mcp add` to reconfigure auth.")
return
# Wipe both disk and in-memory cache so the next probe forces a fresh
# OAuth flow.
try:
from tools.mcp_oauth_manager import get_manager
mgr = get_manager()
mgr.remove(name)
except Exception as exc:
_warning(f"Could not clear existing OAuth state: {exc}")
print()
_info(f"Starting OAuth flow for '{name}'...")
# Probe triggers the OAuth flow (browser redirect + callback capture).
try:
tools = _probe_single_server(name, server_config)
if tools:
_success(f"Authenticated — {len(tools)} tool(s) available")
else:
_success("Authenticated (server reported no tools)")
except Exception as exc:
_error(f"Authentication failed: {exc}")
# ─── hermes mcp configure ────────────────────────────────────────────────────
def cmd_mcp_configure(args):
@@ -696,6 +755,7 @@ def mcp_command(args):
"test": cmd_mcp_test,
"configure": cmd_mcp_configure,
"config": cmd_mcp_configure,
"login": cmd_mcp_login,
}
handler = handlers.get(action)
@@ -713,4 +773,5 @@ def mcp_command(args):
_info("hermes mcp list List servers")
_info("hermes mcp test <name> Test connection")
_info("hermes mcp configure <name> Toggle tools")
_info("hermes mcp login <name> Re-authenticate OAuth")
print()
+4 -2
View File
@@ -58,9 +58,11 @@ def _prompt(label: str, default: str | None = None, secret: bool = False) -> str
def _install_dependencies(provider_name: str) -> None:
"""Install pip dependencies declared in plugin.yaml."""
import subprocess
from pathlib import Path as _Path
from plugins.memory import find_provider_dir
plugin_dir = _Path(__file__).parent.parent / "plugins" / "memory" / provider_name
plugin_dir = find_provider_dir(provider_name)
if not plugin_dir:
return
yaml_path = plugin_dir / "plugin.yaml"
if not yaml_path.exists():
return
+1
View File
@@ -96,6 +96,7 @@ _MATCHING_PREFIX_STRIP_PROVIDERS: frozenset[str] = frozenset({
"qwen-oauth",
"xiaomi",
"arcee",
"ollama-cloud",
"custom",
})
+48 -13
View File
@@ -274,6 +274,11 @@ def parse_model_flags(raw_args: str) -> tuple[str, str, bool]:
is_global = False
explicit_provider = ""
# Normalize Unicode dashes (Telegram/iOS auto-converts -- to em/en dash)
# A single Unicode dash before a flag keyword becomes "--"
import re as _re
raw_args = _re.sub(r'[\u2012\u2013\u2014\u2015](provider|global)', r'--\1', raw_args)
# Extract --global
if "--global" in raw_args:
is_global = True
@@ -452,6 +457,7 @@ def switch_model(
ModelSwitchResult with all information the caller needs.
"""
from hermes_cli.models import (
copilot_model_api_mode,
detect_provider_for_model,
validate_requested_model,
opencode_model_api_mode,
@@ -709,14 +715,34 @@ def switch_model(
if validation.get("corrected_model"):
new_model = validation["corrected_model"]
# --- Copilot api_mode override ---
if target_provider in {"copilot", "github-copilot"}:
api_mode = copilot_model_api_mode(new_model, api_key=api_key)
# --- OpenCode api_mode override ---
if target_provider in {"opencode-zen", "opencode-go", "opencode", "opencode-go"}:
if target_provider in {"opencode-zen", "opencode-go", "opencode"}:
api_mode = opencode_model_api_mode(target_provider, new_model)
# --- Determine api_mode if not already set ---
if not api_mode:
api_mode = determine_api_mode(target_provider, base_url)
# OpenCode base URLs end with /v1 for OpenAI-compatible models, but the
# Anthropic SDK prepends its own /v1/messages to the base_url. Strip the
# trailing /v1 so the SDK constructs the correct path (e.g.
# https://opencode.ai/zen/go/v1/messages instead of .../v1/v1/messages).
# Mirrors the same logic in hermes_cli.runtime_provider.resolve_runtime_provider;
# without it, /model switches into an anthropic_messages-routed OpenCode
# model (e.g. `/model minimax-m2.7` on opencode-go, `/model claude-sonnet-4-6`
# on opencode-zen) hit a double /v1 and returned OpenCode's website 404 page.
if (
api_mode == "anthropic_messages"
and target_provider in {"opencode-zen", "opencode-go"}
and isinstance(base_url, str)
and base_url
):
base_url = re.sub(r"/v1/?$", "", base_url)
# --- Get capabilities (legacy) ---
capabilities = get_model_capabilities(target_provider, new_model)
@@ -786,7 +812,8 @@ def list_authenticated_providers(
from hermes_cli.models import OPENROUTER_MODELS, _PROVIDER_MODELS
results: List[dict] = []
seen_slugs: set = set()
seen_slugs: set = set() # lowercase-normalized to catch case variants (#9545)
seen_mdev_ids: set = set() # prevent duplicate entries for aliases (e.g. kimi-coding + kimi-coding-cn)
data = fetch_models_dev()
@@ -796,9 +823,18 @@ def list_authenticated_providers(
# "nous" shares OpenRouter's curated list if not separately defined
if "nous" not in curated:
curated["nous"] = curated["openrouter"]
# Ollama Cloud uses dynamic discovery (no static curated list)
if "ollama-cloud" not in curated:
from hermes_cli.models import fetch_ollama_cloud_models
curated["ollama-cloud"] = fetch_ollama_cloud_models()
# --- 1. Check Hermes-mapped providers ---
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
# Skip aliases that map to the same models.dev provider (e.g.
# kimi-coding and kimi-coding-cn both → kimi-for-coding).
# The first one with valid credentials wins (#10526).
if mdev_id in seen_mdev_ids:
continue
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
@@ -837,7 +873,8 @@ def list_authenticated_providers(
"total_models": total,
"source": "built-in",
})
seen_slugs.add(slug)
seen_slugs.add(slug.lower())
seen_mdev_ids.add(mdev_id)
# --- 2. Check Hermes-only providers (nous, openai-codex, copilot, opencode-go) ---
from hermes_cli.providers import HERMES_OVERLAYS
@@ -849,12 +886,12 @@ def list_authenticated_providers(
_mdev_to_hermes = {v: k for k, v in PROVIDER_TO_MODELS_DEV.items()}
for pid, overlay in HERMES_OVERLAYS.items():
if pid in seen_slugs:
if pid.lower() in seen_slugs:
continue
# Resolve Hermes slug — e.g. "github-copilot" → "copilot"
hermes_slug = _mdev_to_hermes.get(pid, pid)
if hermes_slug in seen_slugs:
if hermes_slug.lower() in seen_slugs:
continue
# Check if credentials exist
@@ -935,8 +972,8 @@ def list_authenticated_providers(
"total_models": total,
"source": "hermes",
})
seen_slugs.add(pid)
seen_slugs.add(hermes_slug)
seen_slugs.add(pid.lower())
seen_slugs.add(hermes_slug.lower())
# --- 2b. Cross-check canonical provider list ---
# Catches providers that are in CANONICAL_PROVIDERS but weren't found
@@ -948,7 +985,7 @@ def list_authenticated_providers(
_canon_provs = []
for _cp in _canon_provs:
if _cp.slug in seen_slugs:
if _cp.slug.lower() in seen_slugs:
continue
# Check credentials via PROVIDER_REGISTRY (auth.py)
@@ -995,7 +1032,7 @@ def list_authenticated_providers(
"total_models": _cp_total,
"source": "canonical",
})
seen_slugs.add(_cp.slug)
seen_slugs.add(_cp.slug.lower())
# --- 3. User-defined endpoints from config ---
if user_providers and isinstance(user_providers, dict):
@@ -1068,7 +1105,7 @@ def list_authenticated_providers(
groups[slug]["models"].append(default_model)
for slug, grp in groups.items():
if slug in seen_slugs:
if slug.lower() in seen_slugs:
continue
results.append({
"slug": slug,
@@ -1080,11 +1117,9 @@ def list_authenticated_providers(
"source": "user-config",
"api_url": grp["api_url"],
})
seen_slugs.add(slug)
seen_slugs.add(slug.lower())
# Sort: current provider first, then by model count descending
results.sort(key=lambda r: (not r["is_current"], -r["total_models"]))
return results
+230 -26
View File
@@ -11,7 +11,9 @@ import json
import os
import urllib.request
import urllib.error
import time
from difflib import get_close_matches
from pathlib import Path
from typing import Any, NamedTuple, Optional
COPILOT_BASE_URL = "https://api.githubcopilot.com"
@@ -24,7 +26,8 @@ COPILOT_REASONING_EFFORTS_O_SERIES = ["low", "medium", "high"]
# Fallback OpenRouter snapshot used when the live catalog is unavailable.
# (model_id, display description shown in menus)
OPENROUTER_MODELS: list[tuple[str, str]] = [
("anthropic/claude-opus-4.6", "recommended"),
("anthropic/claude-opus-4.7", "recommended"),
("anthropic/claude-opus-4.6", ""),
("anthropic/claude-sonnet-4.6", ""),
("qwen/qwen3.6-plus", ""),
("anthropic/claude-sonnet-4.5", ""),
@@ -73,6 +76,7 @@ def _codex_curated_models() -> list[str]:
_PROVIDER_MODELS: dict[str, list[str]] = {
"nous": [
"xiaomi/mimo-v2-pro",
"anthropic/claude-opus-4.7",
"anthropic/claude-opus-4.6",
"anthropic/claude-sonnet-4.6",
"anthropic/claude-sonnet-4.5",
@@ -133,6 +137,11 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gemma-4-31b-it",
"gemma-4-26b-it",
],
"google-gemini-cli": [
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
],
"zai": [
"glm-5.1",
"glm-5",
@@ -143,17 +152,8 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"glm-4.5-flash",
],
"xai": [
"grok-4.20-0309-reasoning",
"grok-4.20-0309-non-reasoning",
"grok-4.20-multi-agent-0309",
"grok-4.20-reasoning",
"grok-4-1-fast-reasoning",
"grok-4-1-fast-non-reasoning",
"grok-4-fast-reasoning",
"grok-4-fast-non-reasoning",
"grok-4-0709",
"grok-code-fast-1",
"grok-3",
"grok-3-mini",
],
"kimi-coding": [
"kimi-for-coding",
@@ -188,6 +188,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"MiniMax-M2",
],
"anthropic": [
"claude-opus-4-7",
"claude-opus-4-6",
"claude-sonnet-4-6",
"claude-opus-4-5-20251101",
@@ -249,6 +250,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"big-pickle",
],
"opencode-go": [
"glm-5.1",
"glm-5",
"kimi-k2.5",
"mimo-v2-pro",
@@ -303,6 +305,22 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"XiaomiMiMo/MiMo-V2-Flash",
"moonshotai/Kimi-K2-Thinking",
],
# AWS Bedrock — static fallback list used when dynamic discovery is
# unavailable (no boto3, no credentials, or API error). The agent
# prefers live discovery via ListFoundationModels + ListInferenceProfiles.
# Use inference profile IDs (us.*) since most models require them.
"bedrock": [
"us.anthropic.claude-sonnet-4-6",
"us.anthropic.claude-opus-4-6-v1",
"us.anthropic.claude-haiku-4-5-20251001-v1:0",
"us.anthropic.claude-sonnet-4-5-20250929-v1:0",
"us.amazon.nova-pro-v1:0",
"us.amazon.nova-lite-v1:0",
"us.amazon.nova-micro-v1:0",
"deepseek.v3.2",
"us.meta.llama4-maverick-17b-instruct-v1:0",
"us.meta.llama4-scout-17b-instruct-v1:0",
],
}
# ---------------------------------------------------------------------------
@@ -523,25 +541,29 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
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("google-gemini-cli", "Google Gemini (OAuth)", "Google Gemini via OAuth + Code Assist (free tier supported; no API key needed)"),
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", "Kimi / Kimi Coding Plan", "Kimi Coding Plan (api.kimi.com) & Moonshot 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("ollama-cloud", "Ollama Cloud", "Ollama Cloud (cloud-hosted open models — ollama.com)"),
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)"),
ProviderEntry("bedrock", "AWS Bedrock", "AWS Bedrock (Claude, Nova, Llama, DeepSeek — IAM or API key)"),
]
# 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",
"z-ai": "zai",
@@ -582,14 +604,22 @@ _PROVIDER_ALIASES = {
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
"qwen-portal": "qwen-oauth",
"gemini-cli": "google-gemini-cli",
"gemini-oauth": "google-gemini-cli",
"hf": "huggingface",
"hugging-face": "huggingface",
"huggingface-hub": "huggingface",
"mimo": "xiaomi",
"xiaomi-mimo": "xiaomi",
"aws": "bedrock",
"aws-bedrock": "bedrock",
"amazon-bedrock": "bedrock",
"amazon": "bedrock",
"grok": "xai",
"x-ai": "xai",
"x.ai": "xai",
"ollama": "custom", # bare "ollama" = local; use "ollama-cloud" for cloud
"ollama_cloud": "ollama-cloud",
}
@@ -1026,7 +1056,7 @@ def detect_provider_for_model(
return (resolved_provider, default_models[0])
# Aggregators list other providers' models — never auto-switch TO them
_AGGREGATORS = {"nous", "openrouter"}
_AGGREGATORS = {"nous", "openrouter", "ai-gateway", "copilot", "kilocode"}
# If the model belongs to the current provider's catalog, don't suggest switching
current_models = _PROVIDER_MODELS.get(current_provider, [])
@@ -1043,7 +1073,8 @@ def detect_provider_for_model(
break
if direct_match:
# Check if we have credentials for this provider
# Check if we have credentials for this provider — env vars,
# credential pool, or auth store entries.
has_creds = False
try:
from hermes_cli.auth import PROVIDER_REGISTRY
@@ -1056,16 +1087,28 @@ def detect_provider_for_model(
break
except Exception:
pass
# Also check credential pool and auth store — covers OAuth,
# Claude Code tokens, and other non-env-var credentials (#10300).
if not has_creds:
try:
from agent.credential_pool import load_pool
pool = load_pool(direct_match)
if pool.has_credentials():
has_creds = True
except Exception:
pass
if not has_creds:
try:
from hermes_cli.auth import _load_auth_store
store = _load_auth_store()
if direct_match in store.get("providers", {}) or direct_match in store.get("credential_pool", {}):
has_creds = True
except Exception:
pass
if has_creds:
return (direct_match, name)
# No direct creds — try to find this model on OpenRouter instead
or_slug = _find_openrouter_slug(name)
if or_slug:
return ("openrouter", or_slug)
# Still return the direct provider — credential resolution will
# give a clear error rather than silently using the wrong provider
# Always return the direct provider match. If credentials are
# missing, the client init will give a clear error rather than
# silently routing through the wrong provider (#10300).
return (direct_match, name)
# --- Step 2: check OpenRouter catalog ---
@@ -1255,6 +1298,10 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
live = _fetch_ai_gateway_models()
if live:
return live
if normalized == "ollama-cloud":
live = fetch_ollama_cloud_models(force_refresh=force_refresh)
if live:
return live
if normalized == "custom":
base_url = _get_custom_base_url()
if base_url:
@@ -1539,6 +1586,11 @@ def copilot_model_api_mode(
primary signal. Falls back to the catalog's ``supported_endpoints``
only for models not covered by the pattern check.
"""
# Fetch the catalog once so normalize + endpoint check share it
# (avoids two redundant network calls for non-GPT-5 models).
if catalog is None and api_key:
catalog = fetch_github_model_catalog(api_key=api_key)
normalized = normalize_copilot_model_id(model_id, catalog=catalog, api_key=api_key)
if not normalized:
return "chat_completions"
@@ -1548,9 +1600,6 @@ def copilot_model_api_mode(
return "codex_responses"
# Secondary: check catalog for non-GPT-5 models (Claude via /v1/messages, etc.)
if catalog is None and api_key:
catalog = fetch_github_model_catalog(api_key=api_key)
if catalog:
catalog_entry = next((item for item in catalog if item.get("id") == normalized), None)
if isinstance(catalog_entry, dict):
@@ -1765,6 +1814,125 @@ def fetch_api_models(
return probe_api_models(api_key, base_url, timeout=timeout).get("models")
# ---------------------------------------------------------------------------
# Ollama Cloud — merged model discovery with disk cache
# ---------------------------------------------------------------------------
_OLLAMA_CLOUD_CACHE_TTL = 3600 # 1 hour
def _ollama_cloud_cache_path() -> Path:
"""Return the path for the Ollama Cloud model cache."""
from hermes_constants import get_hermes_home
return get_hermes_home() / "ollama_cloud_models_cache.json"
def _load_ollama_cloud_cache(*, ignore_ttl: bool = False) -> Optional[dict]:
"""Load cached Ollama Cloud models from disk.
Args:
ignore_ttl: If True, return data even if the TTL has expired (stale fallback).
"""
try:
cache_path = _ollama_cloud_cache_path()
if not cache_path.exists():
return None
with open(cache_path, encoding="utf-8") as f:
data = json.load(f)
if not isinstance(data, dict):
return None
models = data.get("models")
if not (isinstance(models, list) and models):
return None
if not ignore_ttl:
cached_at = data.get("cached_at", 0)
if (time.time() - cached_at) > _OLLAMA_CLOUD_CACHE_TTL:
return None # stale
return data
except Exception:
pass
return None
def _save_ollama_cloud_cache(models: list[str]) -> None:
"""Persist the merged Ollama Cloud model list to disk."""
try:
from utils import atomic_json_write
cache_path = _ollama_cloud_cache_path()
cache_path.parent.mkdir(parents=True, exist_ok=True)
atomic_json_write(cache_path, {"models": models, "cached_at": time.time()}, indent=None)
except Exception:
pass
def fetch_ollama_cloud_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
*,
force_refresh: bool = False,
) -> list[str]:
"""Fetch Ollama Cloud models by merging live API + models.dev, with disk cache.
Resolution order:
1. Disk cache (if fresh, < 1 hour, and not force_refresh)
2. Live ``/v1/models`` endpoint (primary freshest source)
3. models.dev registry (secondary fills gaps for unlisted models)
4. Merge: live models first, then models.dev additions (deduped)
Returns a list of model IDs (never None empty list on total failure).
"""
# 1. Check disk cache
if not force_refresh:
cached = _load_ollama_cloud_cache()
if cached is not None:
return cached["models"]
# 2. Live API probe
if not api_key:
api_key = os.getenv("OLLAMA_API_KEY", "")
if not base_url:
base_url = os.getenv("OLLAMA_BASE_URL", "") or "https://ollama.com/v1"
live_models: list[str] = []
if api_key:
result = fetch_api_models(api_key, base_url, timeout=8.0)
if result:
live_models = result
# 3. models.dev registry
mdev_models: list[str] = []
try:
from agent.models_dev import list_agentic_models
mdev_models = list_agentic_models("ollama-cloud")
except Exception:
pass
# 4. Merge: live first, then models.dev additions (deduped, order-preserving)
if live_models or mdev_models:
seen: set[str] = set()
merged: list[str] = []
for m in live_models:
if m and m not in seen:
seen.add(m)
merged.append(m)
for m in mdev_models:
if m and m not in seen:
seen.add(m)
merged.append(m)
if merged:
_save_ollama_cloud_cache(merged)
return merged
# Total failure — return stale cache if available (ignore TTL)
stale = _load_ollama_cloud_cache(ignore_ttl=True)
if stale is not None:
return stale["models"]
return []
def validate_requested_model(
model_name: str,
provider: Optional[str],
@@ -1957,6 +2125,42 @@ def validate_requested_model(
# api_models is None — couldn't reach API. Accept and persist,
# but warn so typos don't silently break things.
# Bedrock: use our own discovery instead of HTTP /models endpoint.
# Bedrock's bedrock-runtime URL doesn't support /models — it uses the
# AWS SDK control plane (ListFoundationModels + ListInferenceProfiles).
if normalized == "bedrock":
try:
from agent.bedrock_adapter import discover_bedrock_models, resolve_bedrock_region
region = resolve_bedrock_region()
discovered = discover_bedrock_models(region)
discovered_ids = {m["id"] for m in discovered}
if requested in discovered_ids:
return {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
# Not in discovered list — still accept (user may have custom
# inference profiles or cross-account access), but warn.
suggestions = get_close_matches(requested, list(discovered_ids), n=3, cutoff=0.4)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
return {
"accepted": True,
"persist": True,
"recognized": False,
"message": (
f"Note: `{requested}` was not found in Bedrock model discovery for {region}. "
f"It may still work with custom inference profiles or cross-account access."
f"{suggestion_text}"
),
}
except Exception:
pass # Fall through to generic warning
provider_label = _PROVIDER_LABELS.get(normalized, normalized)
return {
"accepted": True,
+277 -30
View File
@@ -143,6 +143,7 @@ def _tts_label(current_provider: str) -> str:
"openai": "OpenAI TTS",
"elevenlabs": "ElevenLabs",
"edge": "Edge TTS",
"xai": "xAI TTS",
"mistral": "Mistral Voxtral TTS",
"neutts": "NeuTTS",
}
@@ -257,6 +258,15 @@ def get_nous_subscription_features(
terminal_cfg.get("modal_mode")
)
# use_gateway flags — when True, the user explicitly opted into the
# Tool Gateway via `hermes model`, so direct credentials should NOT
# prevent gateway routing.
web_use_gateway = bool(web_cfg.get("use_gateway"))
tts_use_gateway = bool(tts_cfg.get("use_gateway"))
browser_use_gateway = bool(browser_cfg.get("use_gateway"))
image_gen_cfg = config.get("image_gen") if isinstance(config.get("image_gen"), dict) else {}
image_use_gateway = bool(image_gen_cfg.get("use_gateway"))
direct_exa = bool(get_env_value("EXA_API_KEY"))
direct_firecrawl = bool(get_env_value("FIRECRAWL_API_KEY") or get_env_value("FIRECRAWL_API_URL"))
direct_parallel = bool(get_env_value("PARALLEL_API_KEY"))
@@ -269,6 +279,21 @@ def get_nous_subscription_features(
direct_browser_use = bool(get_env_value("BROWSER_USE_API_KEY"))
direct_modal = has_direct_modal_credentials()
# When use_gateway is set, suppress direct credentials for managed detection
if web_use_gateway:
direct_firecrawl = False
direct_exa = False
direct_parallel = False
direct_tavily = False
if image_use_gateway:
direct_fal = False
if tts_use_gateway:
direct_openai_tts = False
direct_elevenlabs = False
if browser_use_gateway:
direct_browser_use = False
direct_browserbase = False
managed_web_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("firecrawl")
managed_image_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("fal-queue")
managed_tts_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("openai-audio")
@@ -439,37 +464,7 @@ def get_nous_subscription_features(
)
def get_nous_subscription_explainer_lines() -> list[str]:
if not managed_nous_tools_enabled():
return []
return [
"Nous subscription enables managed web tools, image generation, OpenAI TTS, and browser automation by default.",
"Those managed tools bill to your Nous subscription. Modal execution is optional and can bill to your subscription too.",
"Change these later with: hermes setup tools, hermes setup terminal, or hermes status.",
]
def apply_nous_provider_defaults(config: Dict[str, object]) -> set[str]:
"""Apply provider-level Nous defaults shared by `hermes setup` and `hermes model`."""
if not managed_nous_tools_enabled():
return set()
features = get_nous_subscription_features(config)
if not features.provider_is_nous:
return set()
tts_cfg = config.get("tts")
if not isinstance(tts_cfg, dict):
tts_cfg = {}
config["tts"] = tts_cfg
current_tts = str(tts_cfg.get("provider") or "edge").strip().lower()
if current_tts not in {"", "edge"}:
return set()
tts_cfg["provider"] = "openai"
return {"tts"}
def apply_nous_managed_defaults(
@@ -529,3 +524,255 @@ def apply_nous_managed_defaults(
changed.add("image_gen")
return changed
# ---------------------------------------------------------------------------
# Tool Gateway offer — single Y/n prompt after model selection
# ---------------------------------------------------------------------------
_GATEWAY_TOOL_LABELS = {
"web": "Web search & extract (Firecrawl)",
"image_gen": "Image generation (FAL)",
"tts": "Text-to-speech (OpenAI TTS)",
"browser": "Browser automation (Browser Use)",
}
def _get_gateway_direct_credentials() -> Dict[str, bool]:
"""Return a dict of tool_key -> has_direct_credentials."""
return {
"web": bool(
get_env_value("FIRECRAWL_API_KEY")
or get_env_value("FIRECRAWL_API_URL")
or get_env_value("PARALLEL_API_KEY")
or get_env_value("TAVILY_API_KEY")
or get_env_value("EXA_API_KEY")
),
"image_gen": bool(get_env_value("FAL_KEY")),
"tts": bool(
resolve_openai_audio_api_key()
or get_env_value("ELEVENLABS_API_KEY")
),
"browser": bool(
get_env_value("BROWSER_USE_API_KEY")
or (get_env_value("BROWSERBASE_API_KEY") and get_env_value("BROWSERBASE_PROJECT_ID"))
),
}
_GATEWAY_DIRECT_LABELS = {
"web": "Firecrawl/Exa/Parallel/Tavily key",
"image_gen": "FAL key",
"tts": "OpenAI/ElevenLabs key",
"browser": "Browser Use/Browserbase key",
}
_ALL_GATEWAY_KEYS = ("web", "image_gen", "tts", "browser")
def get_gateway_eligible_tools(
config: Optional[Dict[str, object]] = None,
) -> tuple[list[str], list[str], list[str]]:
"""Return (unconfigured, has_direct, already_managed) tool key lists.
- unconfigured: tools with no direct credentials (easy switch)
- has_direct: tools where the user has their own API keys
- already_managed: tools already routed through the gateway
All lists are empty when the user is not a paid Nous subscriber or
is not using Nous as their provider.
"""
if not managed_nous_tools_enabled():
return [], [], []
if config is None:
from hermes_cli.config import load_config
config = load_config() or {}
# Quick provider check without the heavy get_nous_subscription_features call
model_cfg = config.get("model")
if not isinstance(model_cfg, dict) or str(model_cfg.get("provider") or "").strip().lower() != "nous":
return [], [], []
direct = _get_gateway_direct_credentials()
# Check which tools the user has explicitly opted into the gateway for.
# This is distinct from managed_by_nous which fires implicitly when
# no direct keys exist — we only skip the prompt for tools where
# use_gateway was explicitly set.
opted_in = {
"web": bool((config.get("web") if isinstance(config.get("web"), dict) else {}).get("use_gateway")),
"image_gen": bool((config.get("image_gen") if isinstance(config.get("image_gen"), dict) else {}).get("use_gateway")),
"tts": bool((config.get("tts") if isinstance(config.get("tts"), dict) else {}).get("use_gateway")),
"browser": bool((config.get("browser") if isinstance(config.get("browser"), dict) else {}).get("use_gateway")),
}
unconfigured: list[str] = []
has_direct: list[str] = []
already_managed: list[str] = []
for key in _ALL_GATEWAY_KEYS:
if opted_in.get(key):
already_managed.append(key)
elif direct.get(key):
has_direct.append(key)
else:
unconfigured.append(key)
return unconfigured, has_direct, already_managed
def apply_gateway_defaults(
config: Dict[str, object],
tool_keys: list[str],
) -> set[str]:
"""Apply Tool Gateway config for the given tool keys.
Sets ``use_gateway: true`` in each tool's config section so the
runtime prefers the gateway even when direct API keys are present.
Returns the set of tools that were actually changed.
"""
changed: set[str] = set()
web_cfg = config.get("web")
if not isinstance(web_cfg, dict):
web_cfg = {}
config["web"] = web_cfg
tts_cfg = config.get("tts")
if not isinstance(tts_cfg, dict):
tts_cfg = {}
config["tts"] = tts_cfg
browser_cfg = config.get("browser")
if not isinstance(browser_cfg, dict):
browser_cfg = {}
config["browser"] = browser_cfg
if "web" in tool_keys:
web_cfg["backend"] = "firecrawl"
web_cfg["use_gateway"] = True
changed.add("web")
if "tts" in tool_keys:
tts_cfg["provider"] = "openai"
tts_cfg["use_gateway"] = True
changed.add("tts")
if "browser" in tool_keys:
browser_cfg["cloud_provider"] = "browser-use"
browser_cfg["use_gateway"] = True
changed.add("browser")
if "image_gen" in tool_keys:
image_cfg = config.get("image_gen")
if not isinstance(image_cfg, dict):
image_cfg = {}
config["image_gen"] = image_cfg
image_cfg["use_gateway"] = True
changed.add("image_gen")
return changed
def prompt_enable_tool_gateway(config: Dict[str, object]) -> set[str]:
"""If eligible tools exist, prompt the user to enable the Tool Gateway.
Uses prompt_choice() with a description parameter so the curses TUI
shows the tool context alongside the choices.
Returns the set of tools that were enabled, or empty set if the user
declined or no tools were eligible.
"""
unconfigured, has_direct, already_managed = get_gateway_eligible_tools(config)
if not unconfigured and not has_direct:
return set()
try:
from hermes_cli.setup import prompt_choice
except Exception:
return set()
# Build description lines showing full status of all gateway tools
desc_parts: list[str] = [
"",
" The Tool Gateway gives you access to web search, image generation,",
" text-to-speech, and browser automation through your Nous subscription.",
" No need to sign up for separate API keys — just pick the tools you want.",
"",
]
if already_managed:
for k in already_managed:
desc_parts.append(f"{_GATEWAY_TOOL_LABELS[k]} — using Tool Gateway")
if unconfigured:
for k in unconfigured:
desc_parts.append(f"{_GATEWAY_TOOL_LABELS[k]} — not configured")
if has_direct:
for k in has_direct:
desc_parts.append(f"{_GATEWAY_TOOL_LABELS[k]} — using {_GATEWAY_DIRECT_LABELS[k]}")
# Build short choice labels — detail is in the description above
choices: list[str] = []
choice_keys: list[str] = [] # maps choice index -> action
if unconfigured and has_direct:
choices.append("Enable for all tools (existing keys kept, not used)")
choice_keys.append("all")
choices.append("Enable only for tools without existing keys")
choice_keys.append("unconfigured")
choices.append("Skip")
choice_keys.append("skip")
elif unconfigured:
choices.append("Enable Tool Gateway")
choice_keys.append("unconfigured")
choices.append("Skip")
choice_keys.append("skip")
else:
choices.append("Enable Tool Gateway (existing keys kept, not used)")
choice_keys.append("all")
choices.append("Skip")
choice_keys.append("skip")
description = "\n".join(desc_parts) if desc_parts else None
# Default to "Enable" when user has no direct keys (new user),
# default to "Skip" when they have existing keys to preserve.
default_idx = 0 if not has_direct else len(choices) - 1
try:
idx = prompt_choice(
"Your Nous subscription includes the Tool Gateway.",
choices,
default_idx,
description=description,
)
except (KeyboardInterrupt, EOFError, OSError, SystemExit):
return set()
action = choice_keys[idx]
if action == "skip":
return set()
if action == "all":
# Apply to switchable tools + ensure already-managed tools also
# have use_gateway persisted in config for consistency.
to_apply = list(_ALL_GATEWAY_KEYS)
else:
to_apply = unconfigured
changed = apply_gateway_defaults(config, to_apply)
if changed:
from hermes_cli.config import save_config
save_config(config)
# Only report the tools that actually switched (not already-managed ones)
newly_switched = changed - set(already_managed)
for key in sorted(newly_switched):
label = _GATEWAY_TOOL_LABELS.get(key, key)
print(f"{label}: enabled via Nous subscription")
if already_managed and not newly_switched:
print(" (all tools already using Tool Gateway)")
return changed
+99
View File
@@ -112,6 +112,7 @@ class LoadedPlugin:
module: Optional[types.ModuleType] = None
tools_registered: List[str] = field(default_factory=list)
hooks_registered: List[str] = field(default_factory=list)
commands_registered: List[str] = field(default_factory=list)
enabled: bool = False
error: Optional[str] = None
@@ -211,6 +212,84 @@ class PluginContext:
}
logger.debug("Plugin %s registered CLI command: %s", self.manifest.name, name)
# -- slash command registration -------------------------------------------
def register_command(
self,
name: str,
handler: Callable,
description: str = "",
) -> None:
"""Register a slash command (e.g. ``/lcm``) available in CLI and gateway sessions.
The handler signature is ``fn(raw_args: str) -> str | None``.
It may also be an async callable the gateway dispatch handles both.
Unlike ``register_cli_command()`` (which creates ``hermes <subcommand>``
terminal commands), this registers in-session slash commands that users
invoke during a conversation.
Names conflicting with built-in commands are rejected with a warning.
"""
clean = name.lower().strip().lstrip("/").replace(" ", "-")
if not clean:
logger.warning(
"Plugin '%s' tried to register a command with an empty name.",
self.manifest.name,
)
return
# Reject if it conflicts with a built-in command
try:
from hermes_cli.commands import resolve_command
if resolve_command(clean) is not None:
logger.warning(
"Plugin '%s' tried to register command '/%s' which conflicts "
"with a built-in command. Skipping.",
self.manifest.name, clean,
)
return
except Exception:
pass # If commands module isn't available, skip the check
self._manager._plugin_commands[clean] = {
"handler": handler,
"description": description or "Plugin command",
"plugin": self.manifest.name,
}
logger.debug("Plugin %s registered command: /%s", self.manifest.name, clean)
# -- tool dispatch -------------------------------------------------------
def dispatch_tool(self, tool_name: str, args: dict, **kwargs) -> str:
"""Dispatch a tool call through the registry, with parent agent context.
This is the public interface for plugin slash commands that need to call
tools like ``delegate_task`` without reaching into framework internals.
The parent agent (if available) is resolved automatically plugins never
need to access the agent directly.
Args:
tool_name: Registry name of the tool (e.g. ``"delegate_task"``).
args: Tool arguments dict (same as what the model would pass).
**kwargs: Extra keyword args forwarded to the registry dispatch.
Returns:
JSON string from the tool handler (same format as model tool calls).
"""
from tools.registry import registry
# Wire up parent agent context when available (CLI mode).
# In gateway mode _cli_ref is None — tools degrade gracefully
# (workspace hints fall back to TERMINAL_CWD, no spinner).
if "parent_agent" not in kwargs:
cli = self._manager._cli_ref
agent = getattr(cli, "agent", None) if cli else None
if agent is not None:
kwargs["parent_agent"] = agent
return registry.dispatch(tool_name, args, **kwargs)
# -- context engine registration -----------------------------------------
def register_context_engine(self, engine) -> None:
@@ -323,6 +402,7 @@ class PluginManager:
self._plugin_tool_names: Set[str] = set()
self._cli_commands: Dict[str, dict] = {}
self._context_engine = None # Set by a plugin via register_context_engine()
self._plugin_commands: Dict[str, dict] = {} # Slash commands registered by plugins
self._discovered: bool = False
self._cli_ref = None # Set by CLI after plugin discovery
# Plugin skill registry: qualified name → metadata dict.
@@ -485,6 +565,10 @@ class PluginManager:
for h in p.hooks_registered
}
)
loaded.commands_registered = [
c for c in self._plugin_commands
if self._plugin_commands[c].get("plugin") == manifest.name
]
loaded.enabled = True
except Exception as exc:
@@ -598,6 +682,7 @@ class PluginManager:
"enabled": loaded.enabled,
"tools": len(loaded.tools_registered),
"hooks": len(loaded.hooks_registered),
"commands": len(loaded.commands_registered),
"error": loaded.error,
}
)
@@ -699,6 +784,20 @@ def get_plugin_context_engine():
return get_plugin_manager()._context_engine
def get_plugin_command_handler(name: str) -> Optional[Callable]:
"""Return the handler for a plugin-registered slash command, or ``None``."""
entry = get_plugin_manager()._plugin_commands.get(name)
return entry["handler"] if entry else None
def get_plugin_commands() -> Dict[str, dict]:
"""Return the full plugin commands dict (name → {handler, description, plugin}).
Safe to call before discovery returns an empty dict if no plugins loaded.
"""
return get_plugin_manager()._plugin_commands
def get_plugin_toolsets() -> List[tuple]:
"""Return plugin toolsets as ``(key, label, description)`` tuples.
+32 -2
View File
@@ -64,6 +64,11 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
base_url_override="https://portal.qwen.ai/v1",
base_url_env_var="HERMES_QWEN_BASE_URL",
),
"google-gemini-cli": HermesOverlay(
transport="openai_chat",
auth_type="oauth_external",
base_url_override="cloudcode-pa://google",
),
"copilot-acp": HermesOverlay(
transport="codex_responses",
auth_type="external_process",
@@ -128,7 +133,7 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
base_url_env_var="HF_BASE_URL",
),
"xai": HermesOverlay(
transport="openai_chat",
transport="codex_responses",
base_url_override="https://api.x.ai/v1",
base_url_env_var="XAI_BASE_URL",
),
@@ -141,6 +146,10 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
base_url_override="https://api.arcee.ai/api/v1",
base_url_env_var="ARCEE_BASE_URL",
),
"ollama-cloud": HermesOverlay(
transport="openai_chat",
base_url_env_var="OLLAMA_BASE_URL",
),
}
@@ -180,6 +189,7 @@ ALIASES: Dict[str, str] = {
# xai
"x-ai": "xai",
"x.ai": "xai",
"grok": "xai",
# kimi-for-coding (models.dev ID)
"kimi": "kimi-for-coding",
@@ -227,6 +237,11 @@ ALIASES: Dict[str, str] = {
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
# google-gemini-cli (OAuth + Code Assist)
"gemini-cli": "google-gemini-cli",
"gemini-oauth": "google-gemini-cli",
# huggingface
"hf": "huggingface",
"hugging-face": "huggingface",
@@ -236,6 +251,12 @@ ALIASES: Dict[str, str] = {
"mimo": "xiaomi",
"xiaomi-mimo": "xiaomi",
# bedrock
"aws": "bedrock",
"aws-bedrock": "bedrock",
"amazon-bedrock": "bedrock",
"amazon": "bedrock",
# arcee
"arcee-ai": "arcee",
"arceeai": "arcee",
@@ -244,7 +265,7 @@ ALIASES: Dict[str, str] = {
"lmstudio": "lmstudio",
"lm-studio": "lmstudio",
"lm_studio": "lmstudio",
"ollama": "ollama-cloud",
"ollama": "custom", # bare "ollama" = local; use "ollama-cloud" for cloud
"vllm": "local",
"llamacpp": "local",
"llama.cpp": "local",
@@ -262,6 +283,8 @@ _LABEL_OVERRIDES: Dict[str, str] = {
"copilot-acp": "GitHub Copilot ACP",
"xiaomi": "Xiaomi MiMo",
"local": "Local endpoint",
"bedrock": "AWS Bedrock",
"ollama-cloud": "Ollama Cloud",
}
@@ -271,6 +294,7 @@ TRANSPORT_TO_API_MODE: Dict[str, str] = {
"openai_chat": "chat_completions",
"anthropic_messages": "anthropic_messages",
"codex_responses": "codex_responses",
"bedrock_converse": "bedrock_converse",
}
@@ -388,6 +412,10 @@ def determine_api_mode(provider: str, base_url: str = "") -> str:
if pdef is not None:
return TRANSPORT_TO_API_MODE.get(pdef.transport, "chat_completions")
# Direct provider checks for providers not in HERMES_OVERLAYS
if provider == "bedrock":
return "bedrock_converse"
# URL-based heuristics for custom / unknown providers
if base_url:
url_lower = base_url.rstrip("/").lower()
@@ -395,6 +423,8 @@ def determine_api_mode(provider: str, base_url: str = "") -> str:
return "anthropic_messages"
if "api.openai.com" in url_lower:
return "codex_responses"
if "bedrock-runtime" in url_lower and "amazonaws.com" in url_lower:
return "bedrock_converse"
return "chat_completions"
+105 -1
View File
@@ -22,6 +22,7 @@ from hermes_cli.auth import (
resolve_nous_runtime_credentials,
resolve_codex_runtime_credentials,
resolve_qwen_runtime_credentials,
resolve_gemini_oauth_runtime_credentials,
resolve_api_key_provider_credentials,
resolve_external_process_provider_credentials,
has_usable_secret,
@@ -41,6 +42,8 @@ def _detect_api_mode_for_url(base_url: str) -> Optional[str]:
tool calls with reasoning (chat/completions returns 400).
"""
normalized = (base_url or "").strip().lower().rstrip("/")
if "api.x.ai" in normalized:
return "codex_responses"
if "api.openai.com" in normalized and "openrouter" not in normalized:
return "codex_responses"
return None
@@ -124,7 +127,7 @@ def _copilot_runtime_api_mode(model_cfg: Dict[str, Any], api_key: str) -> str:
return "chat_completions"
_VALID_API_MODES = {"chat_completions", "codex_responses", "anthropic_messages"}
_VALID_API_MODES = {"chat_completions", "codex_responses", "anthropic_messages", "bedrock_converse"}
def _parse_api_mode(raw: Any) -> Optional[str]:
@@ -154,6 +157,9 @@ def _resolve_runtime_from_pool_entry(
elif provider == "qwen-oauth":
api_mode = "chat_completions"
base_url = base_url or DEFAULT_QWEN_BASE_URL
elif provider == "google-gemini-cli":
api_mode = "chat_completions"
base_url = base_url or "cloudcode-pa://google"
elif provider == "anthropic":
api_mode = "anthropic_messages"
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
@@ -163,10 +169,13 @@ def _resolve_runtime_from_pool_entry(
base_url = cfg_base_url or base_url or "https://api.anthropic.com"
elif provider == "openrouter":
base_url = base_url or OPENROUTER_BASE_URL
elif provider == "xai":
api_mode = "codex_responses"
elif provider == "nous":
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
@@ -627,6 +636,8 @@ def _resolve_explicit_runtime(
api_mode = "chat_completions"
if provider == "copilot":
api_mode = _copilot_runtime_api_mode(model_cfg, api_key)
elif provider == "xai":
api_mode = "codex_responses"
else:
configured_mode = _parse_api_mode(model_cfg.get("api_mode"))
if configured_mode:
@@ -797,6 +808,26 @@ def resolve_runtime_provider(
logger.info("Qwen OAuth credentials failed; "
"falling through to next provider.")
if provider == "google-gemini-cli":
try:
creds = resolve_gemini_oauth_runtime_credentials()
return {
"provider": "google-gemini-cli",
"api_mode": "chat_completions",
"base_url": creds.get("base_url", ""),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "google-oauth"),
"expires_at_ms": creds.get("expires_at_ms"),
"email": creds.get("email", ""),
"project_id": creds.get("project_id", ""),
"requested_provider": requested_provider,
}
except AuthError:
if requested_provider != "auto":
raise
logger.info("Google Gemini OAuth credentials failed; "
"falling through to next provider.")
if provider == "copilot-acp":
creds = resolve_external_process_provider_credentials(provider)
return {
@@ -836,6 +867,77 @@ def resolve_runtime_provider(
"requested_provider": requested_provider,
}
# AWS Bedrock (native Converse API via boto3)
if provider == "bedrock":
from agent.bedrock_adapter import (
has_aws_credentials,
resolve_aws_auth_env_var,
resolve_bedrock_region,
is_anthropic_bedrock_model,
)
# When the user explicitly selected bedrock (not auto-detected),
# trust boto3's credential chain — it handles IMDS, ECS task roles,
# Lambda execution roles, SSO, and other implicit sources that our
# env-var check can't detect.
is_explicit = requested_provider in ("bedrock", "aws", "aws-bedrock", "amazon-bedrock", "amazon")
if not is_explicit and not has_aws_credentials():
raise AuthError(
"No AWS credentials found for Bedrock. Configure one of:\n"
" - AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY\n"
" - AWS_PROFILE (for SSO / named profiles)\n"
" - IAM instance role (EC2, ECS, Lambda)\n"
"Or run 'aws configure' to set up credentials.",
code="no_aws_credentials",
)
# Read bedrock-specific config from config.yaml
from hermes_cli.config import load_config as _load_bedrock_config
_bedrock_cfg = _load_bedrock_config().get("bedrock", {})
# Region priority: config.yaml bedrock.region → env var → us-east-1
region = (_bedrock_cfg.get("region") or "").strip() or resolve_bedrock_region()
auth_source = resolve_aws_auth_env_var() or "aws-sdk-default-chain"
# Build guardrail config if configured
_gr = _bedrock_cfg.get("guardrail", {})
guardrail_config = None
if _gr.get("guardrail_identifier") and _gr.get("guardrail_version"):
guardrail_config = {
"guardrailIdentifier": _gr["guardrail_identifier"],
"guardrailVersion": _gr["guardrail_version"],
}
if _gr.get("stream_processing_mode"):
guardrail_config["streamProcessingMode"] = _gr["stream_processing_mode"]
if _gr.get("trace"):
guardrail_config["trace"] = _gr["trace"]
# Dual-path routing: Claude models use AnthropicBedrock SDK for full
# feature parity (prompt caching, thinking budgets, adaptive thinking).
# Non-Claude models use the Converse API for multi-model support.
_current_model = str(model_cfg.get("default") or "").strip()
if is_anthropic_bedrock_model(_current_model):
# Claude on Bedrock → AnthropicBedrock SDK → anthropic_messages path
runtime = {
"provider": "bedrock",
"api_mode": "anthropic_messages",
"base_url": f"https://bedrock-runtime.{region}.amazonaws.com",
"api_key": "aws-sdk",
"source": auth_source,
"region": region,
"bedrock_anthropic": True, # Signal to use AnthropicBedrock client
"requested_provider": requested_provider,
}
else:
# Non-Claude (Nova, DeepSeek, Llama, etc.) → Converse API
runtime = {
"provider": "bedrock",
"api_mode": "bedrock_converse",
"base_url": f"https://bedrock-runtime.{region}.amazonaws.com",
"api_key": "aws-sdk",
"source": auth_source,
"region": region,
"requested_provider": requested_provider,
}
if guardrail_config:
runtime["guardrail_config"] = guardrail_config
return runtime
# API-key providers (z.ai/GLM, Kimi, MiniMax, MiniMax-CN)
pconfig = PROVIDER_REGISTRY.get(provider)
if pconfig and pconfig.auth_type == "api_key":
@@ -852,6 +954,8 @@ def resolve_runtime_provider(
api_mode = "chat_completions"
if provider == "copilot":
api_mode = _copilot_runtime_api_mode(model_cfg, creds.get("api_key", ""))
elif provider == "xai":
api_mode = "codex_responses"
else:
configured_provider = str(model_cfg.get("provider") or "").strip().lower()
# Only honor persisted api_mode when it belongs to the same provider family.
+57 -21
View File
@@ -20,10 +20,7 @@ import copy
from pathlib import Path
from typing import Optional, Dict, Any
from hermes_cli.nous_subscription import (
apply_nous_provider_defaults,
get_nous_subscription_features,
)
from hermes_cli.nous_subscription import get_nous_subscription_features
from tools.tool_backend_helpers import managed_nous_tools_enabled
from hermes_constants import get_optional_skills_dir
@@ -105,7 +102,7 @@ _DEFAULT_PROVIDER_MODELS = {
"ai-gateway": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5", "google/gemini-3-flash"],
"kilocode": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5.4", "google/gemini-3-pro-preview", "google/gemini-3-flash-preview"],
"opencode-zen": ["gpt-5.4", "gpt-5.3-codex", "claude-sonnet-4-6", "gemini-3-flash", "glm-5", "kimi-k2.5", "minimax-m2.7"],
"opencode-go": ["glm-5", "kimi-k2.5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7"],
"opencode-go": ["glm-5.1", "glm-5", "kimi-k2.5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7"],
"huggingface": [
"Qwen/Qwen3.5-397B-A17B", "Qwen/Qwen3-235B-A22B-Thinking-2507",
"Qwen/Qwen3-Coder-480B-A35B-Instruct", "deepseek-ai/DeepSeek-R1-0528",
@@ -213,20 +210,20 @@ def prompt(question: str, default: str = None, password: bool = False) -> str:
sys.exit(1)
def _curses_prompt_choice(question: str, choices: list, default: int = 0) -> int:
def _curses_prompt_choice(question: str, choices: list, default: int = 0, description: str | None = None) -> int:
"""Single-select menu using curses. Delegates to curses_radiolist."""
from hermes_cli.curses_ui import curses_radiolist
return curses_radiolist(question, choices, selected=default, cancel_returns=-1)
return curses_radiolist(question, choices, selected=default, cancel_returns=-1, description=description)
def prompt_choice(question: str, choices: list, default: int = 0) -> int:
def prompt_choice(question: str, choices: list, default: int = 0, description: str | None = None) -> int:
"""Prompt for a choice from a list with arrow key navigation.
Escape keeps the current default (skips the question).
Ctrl+C exits the wizard.
"""
idx = _curses_prompt_choice(question, choices, default)
idx = _curses_prompt_choice(question, choices, default, description=description)
if idx >= 0:
if idx == default:
print_info(" Skipped (keeping current)")
@@ -433,6 +430,8 @@ def _print_setup_summary(config: dict, hermes_home):
tool_status.append(("Text-to-Speech (MiniMax)", True, None))
elif tts_provider == "mistral" and get_env_value("MISTRAL_API_KEY"):
tool_status.append(("Text-to-Speech (Mistral Voxtral)", True, None))
elif tts_provider == "gemini" and (get_env_value("GEMINI_API_KEY") or get_env_value("GOOGLE_API_KEY")):
tool_status.append(("Text-to-Speech (Google Gemini)", True, None))
elif tts_provider == "neutts":
try:
import importlib.util
@@ -835,14 +834,7 @@ def setup_model_provider(config: dict, *, quick: bool = False):
print_info("Skipped — add later with 'hermes setup' or configure AUXILIARY_VISION_* settings")
if selected_provider == "nous" and nous_subscription_selected:
changed_defaults = apply_nous_provider_defaults(config)
current_tts = str(config.get("tts", {}).get("provider") or "edge")
if "tts" in changed_defaults:
print_success("TTS provider set to: OpenAI TTS via your Nous subscription")
else:
print_info(f"Keeping your existing TTS provider: {current_tts}")
# Tool Gateway prompt is already shown by _model_flow_nous() above.
save_config(config)
if not quick and selected_provider != "nous":
@@ -920,8 +912,10 @@ def _setup_tts_provider(config: dict):
"edge": "Edge TTS",
"elevenlabs": "ElevenLabs",
"openai": "OpenAI TTS",
"xai": "xAI TTS",
"minimax": "MiniMax TTS",
"mistral": "Mistral Voxtral TTS",
"gemini": "Google Gemini TTS",
"neutts": "NeuTTS",
}
current_label = provider_labels.get(current_provider, current_provider)
@@ -941,12 +935,14 @@ def _setup_tts_provider(config: dict):
"Edge TTS (free, cloud-based, no setup needed)",
"ElevenLabs (premium quality, needs API key)",
"OpenAI TTS (good quality, needs API key)",
"xAI TTS (Grok voices, needs API key)",
"MiniMax TTS (high quality with voice cloning, needs API key)",
"Mistral Voxtral TTS (multilingual, native Opus, needs API key)",
"Google Gemini TTS (30 prebuilt voices, prompt-controllable, needs API key)",
"NeuTTS (local on-device, free, ~300MB model download)",
]
)
providers.extend(["edge", "elevenlabs", "openai", "minimax", "mistral", "neutts"])
providers.extend(["edge", "elevenlabs", "openai", "xai", "minimax", "mistral", "gemini", "neutts"])
choices.append(f"Keep current ({current_label})")
keep_current_idx = len(choices) - 1
idx = prompt_choice("Select TTS provider:", choices, keep_current_idx)
@@ -1012,6 +1008,23 @@ def _setup_tts_provider(config: dict):
print_warning("No API key provided. Falling back to Edge TTS.")
selected = "edge"
elif selected == "xai":
existing = get_env_value("XAI_API_KEY")
if not existing:
print()
api_key = prompt("xAI API key for TTS", password=True)
if api_key:
save_env_value("XAI_API_KEY", api_key)
print_success("xAI TTS API key saved")
else:
from hermes_constants import display_hermes_home as _dhh
print_warning(
"No xAI API key provided for TTS. Configure XAI_API_KEY via "
f"hermes setup model or {_dhh()}/.env to use xAI TTS. "
"Falling back to Edge TTS."
)
selected = "edge"
elif selected == "minimax":
existing = get_env_value("MINIMAX_API_KEY")
if not existing:
@@ -1036,6 +1049,19 @@ def _setup_tts_provider(config: dict):
print_warning("No API key provided. Falling back to Edge TTS.")
selected = "edge"
elif selected == "gemini":
existing = get_env_value("GEMINI_API_KEY") or get_env_value("GOOGLE_API_KEY")
if not existing:
print()
print_info("Get a free API key at https://aistudio.google.com/app/apikey")
api_key = prompt("Gemini API key for TTS", password=True)
if api_key:
save_env_value("GEMINI_API_KEY", api_key)
print_success("Gemini TTS API key saved")
else:
print_warning("No API key provided. Falling back to Edge TTS.")
selected = "edge"
# Save the selection
if "tts" not in config:
config["tts"] = {}
@@ -1611,9 +1637,19 @@ def _setup_telegram():
return
print_info("Create a bot via @BotFather on Telegram")
token = prompt("Telegram bot token", password=True)
if not token:
return
import re
while True:
token = prompt("Telegram bot token", password=True)
if not token:
return
if not re.match(r"^\d+:[A-Za-z0-9_-]{30,}$", token):
print_error(
"Invalid token format. Expected: <numeric_id>:<alphanumeric_hash> "
"(e.g., 123456789:ABCdefGHI-jklMNOpqrSTUvwxYZ)"
)
continue
break
save_env_value("TELEGRAM_BOT_TOKEN", token)
print_success("Telegram token saved")
+63 -1
View File
@@ -684,6 +684,51 @@ def do_uninstall(name: str, console: Optional[Console] = None,
c.print(f"[bold red]Error:[/] {msg}\n")
def do_reset(name: str, restore: bool = False,
console: Optional[Console] = None,
skip_confirm: bool = False,
invalidate_cache: bool = True) -> None:
"""Reset a bundled skill's manifest tracking (+ optionally restore from bundled)."""
from tools.skills_sync import reset_bundled_skill
c = console or _console
if not skip_confirm and restore:
c.print(f"\n[bold]Restore '{name}' from bundled source?[/]")
c.print("[dim]This will DELETE your current copy and re-copy the bundled version.[/]")
try:
answer = input("Confirm [y/N]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
answer = "n"
if answer not in ("y", "yes"):
c.print("[dim]Cancelled.[/]\n")
return
result = reset_bundled_skill(name, restore=restore)
if not result["ok"]:
c.print(f"[bold red]Error:[/] {result['message']}\n")
return
c.print(f"[bold green]{result['message']}[/]")
synced = result.get("synced") or {}
if synced.get("copied"):
c.print(f"[dim]Copied: {', '.join(synced['copied'])}[/]")
if synced.get("updated"):
c.print(f"[dim]Updated: {', '.join(synced['updated'])}[/]")
c.print()
if invalidate_cache:
try:
from agent.prompt_builder import clear_skills_system_prompt_cache
clear_skills_system_prompt_cache(clear_snapshot=True)
except Exception:
pass
else:
c.print("[dim]Change will take effect in your next session.[/]")
c.print("[dim]Use /reset to start a new session now, or --now to apply immediately (invalidates prompt cache).[/]\n")
def do_tap(action: str, repo: str = "", console: Optional[Console] = None) -> None:
"""Manage taps (custom GitHub repo sources)."""
from tools.skills_hub import TapsManager
@@ -1007,6 +1052,9 @@ def skills_command(args) -> None:
do_audit(name=getattr(args, "name", None))
elif action == "uninstall":
do_uninstall(args.name)
elif action == "reset":
do_reset(args.name, restore=getattr(args, "restore", False),
skip_confirm=getattr(args, "yes", False))
elif action == "publish":
do_publish(
args.skill_path,
@@ -1029,7 +1077,7 @@ def skills_command(args) -> None:
return
do_tap(tap_action, repo=repo)
else:
_console.print("Usage: hermes skills [browse|search|install|inspect|list|check|update|audit|uninstall|publish|snapshot|tap]\n")
_console.print("Usage: hermes skills [browse|search|install|inspect|list|check|update|audit|uninstall|reset|publish|snapshot|tap]\n")
_console.print("Run 'hermes skills <command> --help' for details.\n")
@@ -1175,6 +1223,19 @@ def handle_skills_slash(cmd: str, console: Optional[Console] = None) -> None:
do_uninstall(args[0], console=c, skip_confirm=skip_confirm,
invalidate_cache=invalidate_cache)
elif action == "reset":
if not args:
c.print("[bold red]Usage:[/] /skills reset <name> [--restore] [--now]\n")
c.print("[dim]Clears the bundled-skills manifest entry so future updates stop marking it as user-modified.[/]")
c.print("[dim]Pass --restore to also replace the current copy with the bundled version.[/]\n")
return
name = args[0]
restore = "--restore" in args
invalidate_cache = "--now" in args
# Slash commands can't prompt — --restore in slash mode is implicit consent.
do_reset(name, restore=restore, console=c, skip_confirm=True,
invalidate_cache=invalidate_cache)
elif action == "publish":
if not args:
c.print("[bold red]Usage:[/] /skills publish <skill-path> [--to github] [--repo owner/repo]\n")
@@ -1231,6 +1292,7 @@ def _print_skills_help(console: Console) -> None:
" [cyan]update[/] [name] Update hub skills with upstream changes\n"
" [cyan]audit[/] [name] Re-scan hub skills for security\n"
" [cyan]uninstall[/] <name> Remove a hub-installed skill\n"
" [cyan]reset[/] <name> [--restore] Reset bundled-skill tracking (fix 'user-modified' flag)\n"
" [cyan]publish[/] <path> --repo <r> Publish a skill to GitHub via PR\n"
" [cyan]snapshot[/] export|import Export/import skill configurations\n"
" [cyan]tap[/] list|add|remove Manage skill sources\n",
+3 -1
View File
@@ -708,7 +708,9 @@ def init_skin_from_config(config: dict) -> None:
Call this once during CLI init with the loaded config dict.
"""
display = config.get("display", {})
display = config.get("display") or {}
if not isinstance(display, dict):
display = {}
skin_name = display.get("skin", "default")
if isinstance(skin_name, str) and skin_name.strip():
set_active_skin(skin_name.strip())
+13 -1
View File
@@ -212,7 +212,7 @@ def show_status(args):
if managed_nous_tools_enabled():
features = get_nous_subscription_features(config)
print()
print(color("◆ Nous Subscription Features", Colors.CYAN, Colors.BOLD))
print(color("◆ Nous Tool Gateway", Colors.CYAN, Colors.BOLD))
if not features.nous_auth_present:
print(" Nous Portal ✗ not logged in")
else:
@@ -230,6 +230,18 @@ def show_status(args):
else:
state = "not configured"
print(f" {feature.label:<15} {check_mark(feature.available or feature.active or feature.managed_by_nous)} {state}")
elif nous_logged_in:
# Logged into Nous but on the free tier — show upgrade nudge
print()
print(color("◆ Nous Tool Gateway", Colors.CYAN, Colors.BOLD))
print(" Your free-tier Nous account does not include Tool Gateway access.")
print(" Upgrade your subscription to unlock managed web, image, TTS, and browser tools.")
try:
portal_url = nous_status.get("portal_base_url", "").rstrip("/")
if portal_url:
print(f" Upgrade: {portal_url}")
except Exception:
pass
# =========================================================================
# API-Key Providers
+161 -15
View File
@@ -146,6 +146,14 @@ TOOL_CATEGORIES = {
],
"tts_provider": "openai",
},
{
"name": "xAI TTS",
"tag": "Grok voices - requires xAI API key",
"env_vars": [
{"key": "XAI_API_KEY", "prompt": "xAI API key", "url": "https://console.x.ai/"},
],
"tts_provider": "xai",
},
{
"name": "ElevenLabs",
"badge": "paid",
@@ -164,6 +172,15 @@ TOOL_CATEGORIES = {
],
"tts_provider": "mistral",
},
{
"name": "Google Gemini TTS",
"badge": "preview",
"tag": "30 prebuilt voices, controllable via prompts",
"env_vars": [
{"key": "GEMINI_API_KEY", "prompt": "Gemini API key", "url": "https://aistudio.google.com/app/apikey"},
],
"tts_provider": "gemini",
},
],
},
"web": {
@@ -241,14 +258,16 @@ TOOL_CATEGORIES = {
"requires_nous_auth": True,
"managed_nous_feature": "image_gen",
"override_env_vars": ["FAL_KEY"],
"imagegen_backend": "fal",
},
{
"name": "FAL.ai",
"badge": "paid",
"tag": "FLUX 2 Pro with auto-upscaling",
"tag": "Pick from flux-2-klein, flux-2-pro, gpt-image, nano-banana, etc.",
"env_vars": [
{"key": "FAL_KEY", "prompt": "FAL API key", "url": "https://fal.ai/dashboard/keys"},
],
"imagegen_backend": "fal",
},
],
},
@@ -933,6 +952,106 @@ def _detect_active_provider_index(providers: list, config: dict) -> int:
return 0
# ─── Image Generation Model Pickers ───────────────────────────────────────────
#
# IMAGEGEN_BACKENDS is a per-backend catalog. Each entry exposes:
# - config_key: top-level config.yaml key for this backend's settings
# - model_catalog_fn: returns an OrderedDict-like {model_id: metadata}
# - default_model: fallback when nothing is configured
#
# This prepares for future imagegen backends (Replicate, Stability, etc.):
# each new backend registers its own entry; the FAL provider entry in
# TOOL_CATEGORIES tags itself with `imagegen_backend: "fal"` to select the
# right catalog at picker time.
def _fal_model_catalog():
"""Lazy-load the FAL model catalog from the tool module."""
from tools.image_generation_tool import FAL_MODELS, DEFAULT_MODEL
return FAL_MODELS, DEFAULT_MODEL
IMAGEGEN_BACKENDS = {
"fal": {
"display": "FAL.ai",
"config_key": "image_gen",
"catalog_fn": _fal_model_catalog,
},
}
def _format_imagegen_model_row(model_id: str, meta: dict, widths: dict) -> str:
"""Format a single picker row with column-aligned speed / strengths / price."""
return (
f"{model_id:<{widths['model']}} "
f"{meta.get('speed', ''):<{widths['speed']}} "
f"{meta.get('strengths', ''):<{widths['strengths']}} "
f"{meta.get('price', '')}"
)
def _configure_imagegen_model(backend_name: str, config: dict) -> None:
"""Prompt the user to pick a model for the given imagegen backend.
Writes selection to ``config[backend_config_key]["model"]``. Safe to
call even when stdin is not a TTY curses_radiolist falls back to
keeping the current selection.
"""
backend = IMAGEGEN_BACKENDS.get(backend_name)
if not backend:
return
catalog, default_model = backend["catalog_fn"]()
if not catalog:
return
cfg_key = backend["config_key"]
cur_cfg = config.setdefault(cfg_key, {})
if not isinstance(cur_cfg, dict):
cur_cfg = {}
config[cfg_key] = cur_cfg
current_model = cur_cfg.get("model") or default_model
if current_model not in catalog:
current_model = default_model
model_ids = list(catalog.keys())
# Put current model at the top so the cursor lands on it by default.
ordered = [current_model] + [m for m in model_ids if m != current_model]
# Column widths
widths = {
"model": max(len(m) for m in model_ids),
"speed": max((len(catalog[m].get("speed", "")) for m in model_ids), default=6),
"strengths": max((len(catalog[m].get("strengths", "")) for m in model_ids), default=0),
}
print()
header = (
f" {'Model':<{widths['model']}} "
f"{'Speed':<{widths['speed']}} "
f"{'Strengths':<{widths['strengths']}} "
f"Price"
)
print(color(header, Colors.CYAN))
rows = []
for mid in ordered:
row = _format_imagegen_model_row(mid, catalog[mid], widths)
if mid == current_model:
row += " ← currently in use"
rows.append(row)
idx = _prompt_choice(
f" Choose {backend['display']} model:",
rows,
default=0,
)
chosen = ordered[idx]
cur_cfg["model"] = chosen
_print_success(f" Model set to: {chosen}")
def _configure_provider(provider: dict, config: dict):
"""Configure a single provider - prompt for API keys and set config."""
env_vars = provider.get("env_vars", [])
@@ -946,34 +1065,53 @@ def _configure_provider(provider: dict, config: dict):
# Set TTS provider in config if applicable
if provider.get("tts_provider"):
config.setdefault("tts", {})["provider"] = provider["tts_provider"]
tts_cfg = config.setdefault("tts", {})
tts_cfg["provider"] = provider["tts_provider"]
tts_cfg["use_gateway"] = bool(managed_feature)
# Set browser cloud provider in config if applicable
if "browser_provider" in provider:
bp = provider["browser_provider"]
browser_cfg = config.setdefault("browser", {})
if bp == "local":
config.setdefault("browser", {})["cloud_provider"] = "local"
browser_cfg["cloud_provider"] = "local"
_print_success(" Browser set to local mode")
elif bp:
config.setdefault("browser", {})["cloud_provider"] = bp
browser_cfg["cloud_provider"] = bp
_print_success(f" Browser cloud provider set to: {bp}")
browser_cfg["use_gateway"] = bool(managed_feature)
# Set web search backend in config if applicable
if provider.get("web_backend"):
config.setdefault("web", {})["backend"] = provider["web_backend"]
web_cfg = config.setdefault("web", {})
web_cfg["backend"] = provider["web_backend"]
web_cfg["use_gateway"] = bool(managed_feature)
_print_success(f" Web backend set to: {provider['web_backend']}")
# For tools without a specific config key (e.g. image_gen), still
# track use_gateway so the runtime knows the user's intent.
if managed_feature and managed_feature not in ("web", "tts", "browser"):
config.setdefault(managed_feature, {})["use_gateway"] = True
elif not managed_feature:
# User picked a non-gateway provider — find which category this
# belongs to and clear use_gateway if it was previously set.
for cat_key, cat in TOOL_CATEGORIES.items():
if provider in cat.get("providers", []):
section = config.get(cat_key)
if isinstance(section, dict) and section.get("use_gateway"):
section["use_gateway"] = False
break
if not env_vars:
if provider.get("post_setup"):
_run_post_setup(provider["post_setup"])
_print_success(f" {provider['name']} - no configuration needed!")
if managed_feature:
_print_info(" Requests for this tool will be billed to your Nous subscription.")
override_envs = provider.get("override_env_vars", [])
if any(get_env_value(env_var) for env_var in override_envs):
_print_warning(
" Direct credentials are still configured and may take precedence until you remove them from ~/.hermes/.env."
)
# Imagegen backends prompt for model selection after backend pick.
backend = provider.get("imagegen_backend")
if backend:
_configure_imagegen_model(backend, config)
return
# Prompt for each required env var
@@ -1008,6 +1146,10 @@ def _configure_provider(provider: dict, config: dict):
if all_configured:
_print_success(f" {provider['name']} configured!")
# Imagegen backends prompt for model selection after env vars are in.
backend = provider.get("imagegen_backend")
if backend:
_configure_imagegen_model(backend, config)
def _configure_simple_requirements(ts_key: str):
@@ -1179,11 +1321,10 @@ def _reconfigure_provider(provider: dict, config: dict):
_print_success(f" {provider['name']} - no configuration needed!")
if managed_feature:
_print_info(" Requests for this tool will be billed to your Nous subscription.")
override_envs = provider.get("override_env_vars", [])
if any(get_env_value(env_var) for env_var in override_envs):
_print_warning(
" Direct credentials are still configured and may take precedence until you remove them from ~/.hermes/.env."
)
# Imagegen backends prompt for model selection on reconfig too.
backend = provider.get("imagegen_backend")
if backend:
_configure_imagegen_model(backend, config)
return
for var in env_vars:
@@ -1201,6 +1342,11 @@ def _reconfigure_provider(provider: dict, config: dict):
else:
_print_info(" Kept current")
# Imagegen backends prompt for model selection on reconfig too.
backend = provider.get("imagegen_backend")
if backend:
_configure_imagegen_model(backend, config)
def _reconfigure_simple_requirements(ts_key: str):
"""Reconfigure simple env var requirements."""
+243 -1
View File
@@ -11,6 +11,7 @@ Usage:
import asyncio
import hmac
import importlib.util
import json
import logging
import os
@@ -96,6 +97,9 @@ _PUBLIC_API_PATHS: frozenset = frozenset({
"/api/config/defaults",
"/api/config/schema",
"/api/model/info",
"/api/dashboard/themes",
"/api/dashboard/plugins",
"/api/dashboard/plugins/rescan",
})
@@ -114,7 +118,7 @@ def _require_token(request: Request) -> None:
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:
if path.startswith("/api/") and path not in _PUBLIC_API_PATHS and not path.startswith("/api/plugins/"):
auth = request.headers.get("authorization", "")
expected = f"Bearer {_SESSION_TOKEN}"
if not hmac.compare_digest(auth.encode(), expected.encode()):
@@ -166,6 +170,11 @@ _SCHEMA_OVERRIDES: Dict[str, Dict[str, Any]] = {
"description": "CLI visual theme",
"options": ["default", "ares", "mono", "slate"],
},
"dashboard.theme": {
"type": "select",
"description": "Web dashboard visual theme",
"options": ["default", "midnight", "ember", "mono", "cyberpunk", "rose"],
},
"display.resume_display": {
"type": "select",
"description": "How resumed sessions display history",
@@ -224,6 +233,7 @@ _CATEGORY_MERGE: Dict[str, str] = {
"approvals": "security",
"human_delay": "display",
"smart_model_routing": "agent",
"dashboard": "display",
}
# Display order for tabs — unlisted categories sort alphabetically after these.
@@ -457,6 +467,7 @@ async def get_status():
"latest_config_version": latest_ver,
"gateway_running": gateway_running,
"gateway_pid": gateway_pid,
"gateway_health_url": _GATEWAY_HEALTH_URL,
"gateway_state": gateway_state,
"gateway_platforms": gateway_platforms,
"gateway_exit_reason": gateway_exit_reason,
@@ -2068,6 +2079,237 @@ def mount_spa(application: FastAPI):
return _serve_index()
# ---------------------------------------------------------------------------
# Dashboard theme endpoints
# ---------------------------------------------------------------------------
# Built-in dashboard themes — label + description only. The actual color
# definitions live in the frontend (web/src/themes/presets.ts).
_BUILTIN_DASHBOARD_THEMES = [
{"name": "default", "label": "Hermes Teal", "description": "Classic dark teal — the canonical Hermes look"},
{"name": "midnight", "label": "Midnight", "description": "Deep blue-violet with cool accents"},
{"name": "ember", "label": "Ember", "description": "Warm crimson and bronze — forge vibes"},
{"name": "mono", "label": "Mono", "description": "Clean grayscale — minimal and focused"},
{"name": "cyberpunk", "label": "Cyberpunk", "description": "Neon green on black — matrix terminal"},
{"name": "rose", "label": "Rosé", "description": "Soft pink and warm ivory — easy on the eyes"},
]
def _discover_user_themes() -> list:
"""Scan ~/.hermes/dashboard-themes/*.yaml for user-created themes."""
themes_dir = get_hermes_home() / "dashboard-themes"
if not themes_dir.is_dir():
return []
result = []
for f in sorted(themes_dir.glob("*.yaml")):
try:
data = yaml.safe_load(f.read_text(encoding="utf-8"))
if isinstance(data, dict) and data.get("name"):
result.append({
"name": data["name"],
"label": data.get("label", data["name"]),
"description": data.get("description", ""),
})
except Exception:
continue
return result
@app.get("/api/dashboard/themes")
async def get_dashboard_themes():
"""Return available themes and the currently active one."""
config = load_config()
active = config.get("dashboard", {}).get("theme", "default")
user_themes = _discover_user_themes()
# Merge built-in + user, user themes override built-in by name.
seen = set()
themes = []
for t in _BUILTIN_DASHBOARD_THEMES:
seen.add(t["name"])
themes.append(t)
for t in user_themes:
if t["name"] not in seen:
themes.append(t)
seen.add(t["name"])
return {"themes": themes, "active": active}
class ThemeSetBody(BaseModel):
name: str
@app.put("/api/dashboard/theme")
async def set_dashboard_theme(body: ThemeSetBody):
"""Set the active dashboard theme (persists to config.yaml)."""
config = load_config()
if "dashboard" not in config:
config["dashboard"] = {}
config["dashboard"]["theme"] = body.name
save_config(config)
return {"ok": True, "theme": body.name}
# ---------------------------------------------------------------------------
# Dashboard plugin system
# ---------------------------------------------------------------------------
def _discover_dashboard_plugins() -> list:
"""Scan plugins/*/dashboard/manifest.json for dashboard extensions.
Checks three plugin sources (same as hermes_cli.plugins):
1. User plugins: ~/.hermes/plugins/<name>/dashboard/manifest.json
2. Bundled plugins: <repo>/plugins/<name>/dashboard/manifest.json (memory/, etc.)
3. Project plugins: ./.hermes/plugins/ (only if HERMES_ENABLE_PROJECT_PLUGINS)
"""
plugins = []
seen_names: set = set()
search_dirs = [
(get_hermes_home() / "plugins", "user"),
(PROJECT_ROOT / "plugins" / "memory", "bundled"),
(PROJECT_ROOT / "plugins", "bundled"),
]
if os.environ.get("HERMES_ENABLE_PROJECT_PLUGINS"):
search_dirs.append((Path.cwd() / ".hermes" / "plugins", "project"))
for plugins_root, source in search_dirs:
if not plugins_root.is_dir():
continue
for child in sorted(plugins_root.iterdir()):
if not child.is_dir():
continue
manifest_file = child / "dashboard" / "manifest.json"
if not manifest_file.exists():
continue
try:
data = json.loads(manifest_file.read_text(encoding="utf-8"))
name = data.get("name", child.name)
if name in seen_names:
continue
seen_names.add(name)
plugins.append({
"name": name,
"label": data.get("label", name),
"description": data.get("description", ""),
"icon": data.get("icon", "Puzzle"),
"version": data.get("version", "0.0.0"),
"tab": data.get("tab", {"path": f"/{name}", "position": "end"}),
"entry": data.get("entry", "dist/index.js"),
"css": data.get("css"),
"has_api": bool(data.get("api")),
"source": source,
"_dir": str(child / "dashboard"),
"_api_file": data.get("api"),
})
except Exception as exc:
_log.warning("Bad dashboard plugin manifest %s: %s", manifest_file, exc)
continue
return plugins
# Cache discovered plugins per-process (refresh on explicit re-scan).
_dashboard_plugins_cache: Optional[list] = None
def _get_dashboard_plugins(force_rescan: bool = False) -> list:
global _dashboard_plugins_cache
if _dashboard_plugins_cache is None or force_rescan:
_dashboard_plugins_cache = _discover_dashboard_plugins()
return _dashboard_plugins_cache
@app.get("/api/dashboard/plugins")
async def get_dashboard_plugins():
"""Return discovered dashboard plugins."""
plugins = _get_dashboard_plugins()
# Strip internal fields before sending to frontend.
return [
{k: v for k, v in p.items() if not k.startswith("_")}
for p in plugins
]
@app.get("/api/dashboard/plugins/rescan")
async def rescan_dashboard_plugins():
"""Force re-scan of dashboard plugins."""
plugins = _get_dashboard_plugins(force_rescan=True)
return {"ok": True, "count": len(plugins)}
@app.get("/dashboard-plugins/{plugin_name}/{file_path:path}")
async def serve_plugin_asset(plugin_name: str, file_path: str):
"""Serve static assets from a dashboard plugin directory.
Only serves files from the plugin's ``dashboard/`` subdirectory.
Path traversal is blocked by checking ``resolve().is_relative_to()``.
"""
plugins = _get_dashboard_plugins()
plugin = next((p for p in plugins if p["name"] == plugin_name), None)
if not plugin:
raise HTTPException(status_code=404, detail="Plugin not found")
base = Path(plugin["_dir"])
target = (base / file_path).resolve()
if not target.is_relative_to(base.resolve()):
raise HTTPException(status_code=403, detail="Path traversal blocked")
if not target.exists() or not target.is_file():
raise HTTPException(status_code=404, detail="File not found")
# Guess content type
suffix = target.suffix.lower()
content_types = {
".js": "application/javascript",
".mjs": "application/javascript",
".css": "text/css",
".json": "application/json",
".html": "text/html",
".svg": "image/svg+xml",
".png": "image/png",
".jpg": "image/jpeg",
".woff2": "font/woff2",
".woff": "font/woff",
}
media_type = content_types.get(suffix, "application/octet-stream")
return FileResponse(target, media_type=media_type)
def _mount_plugin_api_routes():
"""Import and mount backend API routes from plugins that declare them.
Each plugin's ``api`` field points to a Python file that must expose
a ``router`` (FastAPI APIRouter). Routes are mounted under
``/api/plugins/<name>/``.
"""
for plugin in _get_dashboard_plugins():
api_file_name = plugin.get("_api_file")
if not api_file_name:
continue
api_path = Path(plugin["_dir"]) / api_file_name
if not api_path.exists():
_log.warning("Plugin %s declares api=%s but file not found", plugin["name"], api_file_name)
continue
try:
spec = importlib.util.spec_from_file_location(
f"hermes_dashboard_plugin_{plugin['name']}", api_path,
)
if spec is None or spec.loader is None:
continue
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
router = getattr(mod, "router", None)
if router is None:
_log.warning("Plugin %s api file has no 'router' attribute", plugin["name"])
continue
app.include_router(router, prefix=f"/api/plugins/{plugin['name']}")
_log.info("Mounted plugin API routes: /api/plugins/%s/", plugin["name"])
except Exception as exc:
_log.warning("Failed to load plugin %s API routes: %s", plugin["name"], exc)
# Mount plugin API routes before the SPA catch-all.
_mount_plugin_api_routes()
mount_spa(app)
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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Hermes Agent — An Agent That Grows With You</title>
<meta
name="description"
content="An open-source agent that grows with you — learns your projects, builds its own skills, and reaches you wherever you are. By Nous Research."
/>
<meta name="theme-color" content="#0A0E1A" />
<meta property="og:title" content="Hermes Agent — AI Agent Framework" />
<meta
property="og:description"
content="An open-source agent that grows with you. Install it, give it your messaging accounts, and it becomes a persistent personal agent — learning your projects, building its own skills, and reaching you wherever you are."
/>
<meta property="og:type" content="website" />
<meta property="og:url" content="https://hermes-agent.nousresearch.com" />
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>Hermes Agent <span class="nav-by">by Nous Research</span></span
>
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target="_blank"
rel="noopener"
>GitHub</a
>
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href="https://discord.gg/NousResearch"
target="_blank"
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>Discord</a
>
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</div>
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<pre class="hero-ascii" aria-hidden="true" style="font-family: monospace; line-height: 1.1">
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</pre>
<h1 class="hero-title">
An agent that<br />
<span class="hero-gradient">grows with you.</span>
</h1>
<p class="hero-subtitle">
It's not a coding copilot tethered to an IDE or a chatbot wrapper
around a single API. It's an <strong>autonomous agent</strong> that
lives on your server, remembers what it learns, and gets more capable
the longer it runs.
</p>
<div class="hero-install">
<div class="install-widget">
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</div>
<div class="install-tabs">
<button
class="install-tab active"
data-platform="linux"
onclick="switchPlatform('linux')"
>
Linux / macOS / WSL
</button>
</div>
</div>
<div class="install-widget-body">
<span class="install-prompt" id="install-prompt">$</span>
<code id="install-command"
>curl -fsSL
https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh
| bash</code
>
<button
class="copy-btn"
onclick="copyInstall()"
title="Copy to clipboard"
>
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width="16"
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>
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/>
</svg>
<span class="copy-text">Copy</span>
</button>
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</div>
<p class="install-note" id="install-note">
Works on Linux, macOS & WSL2 · No prerequisites · Installs
everything automatically
</p>
</div>
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<a
href="https://portal.nousresearch.com"
class="btn btn-primary"
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rel="noopener"
>
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>
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Sign Up on Nous Portal
</a>
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<section class="section section-install" id="install">
<div class="container">
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<h2>Get started in 60 seconds</h2>
</div>
<div class="install-steps">
<div class="install-step">
<div class="step-number">1</div>
<div class="step-content">
<h4>Install</h4>
<div class="code-block">
<div class="code-header">
<div class="code-tabs">
<button
class="code-tab active"
data-platform="linux"
onclick="switchStepPlatform('linux')"
>
Linux / macOS / WSL
</button>
</div>
<button
class="copy-btn"
id="step1-copy"
onclick="copyText(this)"
data-text="curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash"
>
Copy
</button>
</div>
<pre><code id="step1-command">curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash</code></pre>
</div>
<p class="step-note" id="step1-note">
Installs uv, Python 3.11, clones the repo, sets up everything.
No sudo needed.
</p>
</div>
</div>
<div class="install-step">
<div class="step-number">2</div>
<div class="step-content">
<h4>Configure</h4>
<div class="code-block">
<div class="code-header">
<span>bash</span>
<button
class="copy-btn"
onclick="copyText(this)"
data-text="hermes setup"
>
Copy
</button>
</div>
<pre><code><span class="code-comment"># Interactive setup wizard</span>
hermes setup
<span class="code-comment"># Or choose your model</span>
hermes model</code></pre>
</div>
<p class="step-note">
Connect to Nous Portal (OAuth), OpenRouter (API key), or your
own endpoint.
</p>
</div>
</div>
<div class="install-step">
<div class="step-number">3</div>
<div class="step-content">
<h4>Start chatting</h4>
<div class="code-block">
<div class="code-header">
<span>bash</span>
<button
class="copy-btn"
onclick="copyText(this)"
data-text="hermes"
>
Copy
</button>
</div>
<pre><code>hermes</code></pre>
</div>
<p class="step-note">
That's it. Full interactive CLI with tools, memory, and skills.
</p>
</div>
</div>
<div class="install-step">
<div class="step-number">4</div>
<div class="step-content">
<h4>
Go multi-platform <span class="step-optional">(optional)</span>
</h4>
<div class="code-block">
<div class="code-header">
<span>bash</span>
<button
class="copy-btn"
onclick="copyText(this)"
data-text="hermes gateway setup"
>
Copy
</button>
</div>
<pre><code><span class="code-comment"># Interactive gateway setup wizard</span>
hermes gateway setup
<span class="code-comment"># Start the messaging gateway</span>
hermes gateway
<span class="code-comment"># Install as a system service</span>
hermes gateway install</code></pre>
</div>
<p class="step-note">
Walk through connecting Telegram, Discord, Slack, or WhatsApp.
Runs as a systemd service.
</p>
</div>
</div>
<div class="install-step">
<div class="step-number">5</div>
<div class="step-content">
<h4>Keep it up to date</h4>
<div class="code-block">
<div class="code-header">
<span>bash</span>
<button
class="copy-btn"
onclick="copyText(this)"
data-text="hermes update"
>
Copy
</button>
</div>
<pre><code>hermes update</code></pre>
</div>
<p class="step-note">
Pulls the latest changes and reinstalls dependencies. Run
anytime to get new features and fixes.
</p>
</div>
</div>
</div>
<div class="install-windows">
<p>
Native Windows support is extremely experimental and unsupported.
Please install
<a
href="https://learn.microsoft.com/en-us/windows/wsl/install"
target="_blank"
rel="noopener"
>WSL2</a
>
and run Hermes Agent from there.
</p>
</div>
</div>
</section>
<!-- Terminal Demo -->
<section class="section section-demo" id="demo">
<div class="container">
<div class="section-header">
<h2>See it in action</h2>
</div>
<div class="terminal-window">
<div class="terminal-header">
<div class="terminal-dots">
<span class="dot dot-red"></span>
<span class="dot dot-yellow"></span>
<span class="dot dot-green"></span>
</div>
<span class="terminal-title">hermes</span>
</div>
<div class="terminal-body" id="terminal-demo"></div>
</div>
</div>
</section>
<!-- Features + Specs -->
<section class="section" id="features">
<div class="container">
<div class="section-header">
<h2>Features</h2>
</div>
<div class="features-grid">
<div class="feature-card">
<div class="feature-header">
<div class="feature-icon">
<svg
width="20"
height="20"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
>
<path
d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"
/>
</svg>
</div>
<h3>Lives Where You Do</h3>
</div>
<p>
Telegram, Discord, Slack, WhatsApp, and CLI from a single gateway
— start on one, pick up on another.
</p>
</div>
<div class="feature-card">
<div class="feature-header">
<div class="feature-icon">
<svg
width="20"
height="20"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
>
<polyline points="22 7 13.5 15.5 8.5 10.5 2 17" />
<polyline points="16 7 22 7 22 13" />
</svg>
</div>
<h3>Grows the Longer It Runs</h3>
</div>
<p>
Persistent memory and auto-generated skills — it learns your
projects and never forgets how it solved a problem.
</p>
</div>
<div class="feature-card">
<div class="feature-header">
<div class="feature-icon">
<svg
width="20"
height="20"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
>
<circle cx="12" cy="12" r="10" />
<polyline points="12 6 12 12 16 14" />
</svg>
</div>
<h3>Scheduled Automations</h3>
</div>
<p>
Natural language cron scheduling for reports, backups, and
briefings — running unattended through the gateway.
</p>
</div>
<div class="feature-card">
<div class="feature-header">
<div class="feature-icon">
<svg
width="20"
height="20"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
>
<circle cx="18" cy="18" r="3" />
<circle cx="6" cy="6" r="3" />
<path d="M6 21V9a9 9 0 0 0 9 9" />
<path d="M18 3v12a9 9 0 0 1-9-9" />
</svg>
</div>
<h3>Delegates & Parallelizes</h3>
</div>
<p>
Isolated subagents with their own conversations, terminals, and
Python RPC scripts for zero-context-cost pipelines.
</p>
</div>
<div class="feature-card">
<div class="feature-header">
<div class="feature-icon">
<svg
width="20"
height="20"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
>
<rect x="3" y="11" width="18" height="11" rx="2" ry="2" />
<path d="M7 11V7a5 5 0 0 1 10 0v4" />
</svg>
</div>
<h3>Real Sandboxing</h3>
</div>
<p>
Five backends — local, Docker, SSH, Singularity, Modal — with
container hardening and namespace isolation.
</p>
</div>
<div class="feature-card">
<div class="feature-header">
<div class="feature-icon">
<svg
width="20"
height="20"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
>
<circle cx="12" cy="12" r="10" />
<line x1="2" y1="12" x2="22" y2="12" />
<path
d="M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z"
/>
</svg>
</div>
<h3>Full Web & Browser Control</h3>
</div>
<p>
Web search, browser automation, vision, image generation,
text-to-speech, and multi-model reasoning.
</p>
</div>
</div>
<div class="features-more">
<button class="more-toggle" onclick="toggleSpecs()" id="specs-toggle">
<span class="toggle-label">More details</span>
<svg
class="more-chevron"
width="16"
height="16"
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
>
<polyline points="6 9 12 15 18 9" />
</svg>
</button>
</div>
<div class="specs-wrapper" id="specs-wrapper">
<div class="specs-list">
<div class="spec-row">
<h3 class="spec-label">Tools</h3>
<p class="spec-value">
40+ built-in — web search, terminal, file system, browser
automation, vision, image generation, text-to-speech, code
execution, subagent delegation, memory, task planning, cron
scheduling, multi-model reasoning, and more.
</p>
</div>
<div class="spec-row">
<h3 class="spec-label">Platforms</h3>
<p class="spec-value">
Telegram, Discord, Slack, WhatsApp, Signal, Email, and CLI — all
from a single gateway. Connect to
<a
href="https://portal.nousresearch.com"
target="_blank"
rel="noopener"
>Nous Portal</a
>, OpenRouter, or any OpenAI-compatible API.
</p>
</div>
<div class="spec-row">
<h3 class="spec-label">Environments</h3>
<p class="spec-value">
Run locally, in Docker, over SSH, on Modal, Daytona, or
Singularity. Container hardening with read-only root, dropped
capabilities, and namespace isolation.
</p>
</div>
<div class="spec-row">
<h3 class="spec-label">Skills</h3>
<p class="spec-value">
40+ bundled skills covering MLOps, GitHub workflows, research,
and more. The agent creates new skills on the fly and shares
them via the open
<a href="https://agentskills.io" target="_blank" rel="noopener"
>agentskills.io</a
>
format. Install community skills from
<a href="https://clawhub.ai" target="_blank" rel="noopener"
>ClawHub</a
>,
<a href="https://lobehub.com" target="_blank" rel="noopener"
>LobeHub</a
>, and GitHub.
</p>
</div>
<div class="spec-row">
<h3 class="spec-label">Research</h3>
<p class="spec-value">
Batch trajectory generation with parallel workers and
checkpointing. Atropos integration for RL training. Export to
ShareGPT for fine-tuning with trajectory compression.
</p>
</div>
</div>
</div>
</div>
</section>
<footer class="footer">
<div class="container">
<p class="footer-copy">
Built by
<a href="https://nousresearch.com" target="_blank" rel="noopener"
>Nous Research</a
>
&middot; MIT License &middot; 2026
</p>
</div>
</footer>
<script src="script.js"></script>
</body>
</html>
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@@ -1,521 +0,0 @@
// =========================================================================
// Hermes Agent Landing Page — Interactions
// =========================================================================
// --- Platform install commands ---
const PLATFORMS = {
linux: {
command:
"curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash",
prompt: "$",
note: "Works on Linux, macOS & WSL2 · No prerequisites · Installs everything automatically",
stepNote:
"Installs uv, Python 3.11, clones the repo, sets up everything. No sudo needed.",
},
};
function detectPlatform() {
return "linux";
}
function switchPlatform(platform) {
const cfg = PLATFORMS[platform];
if (!cfg) return;
// Update hero install widget
const commandEl = document.getElementById("install-command");
const promptEl = document.getElementById("install-prompt");
const noteEl = document.getElementById("install-note");
if (commandEl) commandEl.textContent = cfg.command;
if (promptEl) promptEl.textContent = cfg.prompt;
if (noteEl) noteEl.textContent = cfg.note;
// Update active tab in hero
document.querySelectorAll(".install-tab").forEach((tab) => {
tab.classList.toggle("active", tab.dataset.platform === platform);
});
// Sync the step section tabs too
switchStepPlatform(platform);
}
function switchStepPlatform(platform) {
const cfg = PLATFORMS[platform];
if (!cfg) return;
const commandEl = document.getElementById("step1-command");
const copyBtn = document.getElementById("step1-copy");
const noteEl = document.getElementById("step1-note");
if (commandEl) commandEl.textContent = cfg.command;
if (copyBtn) copyBtn.setAttribute("data-text", cfg.command);
if (noteEl) noteEl.textContent = cfg.stepNote;
// Update active tab in step section
document.querySelectorAll(".code-tab").forEach((tab) => {
tab.classList.toggle("active", tab.dataset.platform === platform);
});
}
function toggleMobileNav() {
document.getElementById("nav-mobile").classList.toggle("open");
document.getElementById("nav-hamburger").classList.toggle("open");
}
function toggleSpecs() {
const wrapper = document.getElementById("specs-wrapper");
const btn = document.getElementById("specs-toggle");
const label = btn.querySelector(".toggle-label");
const isOpen = wrapper.classList.contains("open");
if (isOpen) {
wrapper.style.maxHeight = wrapper.scrollHeight + "px";
requestAnimationFrame(() => {
wrapper.style.maxHeight = "0";
});
wrapper.classList.remove("open");
btn.classList.remove("open");
if (label) label.textContent = "More details";
} else {
wrapper.classList.add("open");
wrapper.style.maxHeight = wrapper.scrollHeight + "px";
btn.classList.add("open");
if (label) label.textContent = "Less";
wrapper.addEventListener(
"transitionend",
() => {
if (wrapper.classList.contains("open")) {
wrapper.style.maxHeight = "none";
}
},
{ once: true }
);
}
}
// --- Copy to clipboard ---
function copyInstall() {
const text = document.getElementById("install-command").textContent;
navigator.clipboard.writeText(text).then(() => {
const btn = document.querySelector(".install-widget-body .copy-btn");
const original = btn.querySelector(".copy-text").textContent;
btn.querySelector(".copy-text").textContent = "Copied!";
btn.style.color = "var(--primary-light)";
setTimeout(() => {
btn.querySelector(".copy-text").textContent = original;
btn.style.color = "";
}, 2000);
});
}
function copyText(btn) {
const text = btn.getAttribute("data-text");
navigator.clipboard.writeText(text).then(() => {
const original = btn.textContent;
btn.textContent = "Copied!";
btn.style.color = "var(--primary-light)";
setTimeout(() => {
btn.textContent = original;
btn.style.color = "";
}, 2000);
});
}
// --- Scroll-triggered fade-in ---
function initScrollAnimations() {
const elements = document.querySelectorAll(
".feature-card, .install-step, " +
".section-header, .terminal-window",
);
elements.forEach((el) => el.classList.add("fade-in"));
const observer = new IntersectionObserver(
(entries) => {
entries.forEach((entry) => {
if (entry.isIntersecting) {
// Stagger children within grids
const parent = entry.target.parentElement;
if (parent) {
const siblings = parent.querySelectorAll(".fade-in");
let idx = Array.from(siblings).indexOf(entry.target);
if (idx < 0) idx = 0;
setTimeout(() => {
entry.target.classList.add("visible");
}, idx * 60);
} else {
entry.target.classList.add("visible");
}
observer.unobserve(entry.target);
}
});
},
{ threshold: 0.1, rootMargin: "0px 0px -40px 0px" },
);
elements.forEach((el) => observer.observe(el));
}
// --- Terminal Demo ---
const CURSOR = '<span class="terminal-cursor">█</span>';
const demoSequence = [
{ type: "prompt", text: " " },
{
type: "type",
text: "Research the latest approaches to GRPO training and write a summary",
delay: 30,
},
{ type: "pause", ms: 600 },
{
type: "output",
lines: [
"",
'<span class="t-dim"> web_search "GRPO reinforcement learning 2026" 1.2s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> web_extract arxiv.org/abs/2402.03300 3.1s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> web_search "GRPO vs PPO ablation results" 0.9s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> web_extract huggingface.co/blog/grpo 2.8s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> write_file ~/research/grpo-summary.md 0.1s</span>',
],
},
{ type: "pause", ms: 500 },
{
type: "output",
lines: [
"",
'<span class="t-text">Done! I\'ve written a summary covering:</span>',
"",
'<span class="t-text"> <span class="t-green">✓</span> GRPO\'s group-relative advantage (no critic model needed)</span>',
'<span class="t-text"> <span class="t-green">✓</span> Comparison with PPO/DPO on reasoning benchmarks</span>',
'<span class="t-text"> <span class="t-green">✓</span> Implementation notes for Axolotl and TRL</span>',
"",
'<span class="t-text">Saved to</span> <span class="t-accent">~/research/grpo-summary.md</span>',
],
},
{ type: "pause", ms: 2500 },
{ type: "clear" },
{ type: "prompt", text: " " },
{
type: "type",
text: "Review the PR at NousResearch/hermes-agent#42 and fix any issues",
delay: 30,
},
{ type: "pause", ms: 600 },
{
type: "output",
lines: [
"",
'<span class="t-dim"> delegate_task "review PR #42 changes" 2.1s</span>',
],
},
{ type: "pause", ms: 500 },
{
type: "output",
lines: [
'<span class="t-dim"> git diff main..pr-42 0.4s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> patch tools/registry.py 0.1s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> python -m pytest tests/ -x 3.2s</span>',
],
},
{ type: "pause", ms: 400 },
{
type: "output",
lines: [
'<span class="t-dim"> git commit -m "fix: handle empty tool schemas" 0.3s</span>',
],
},
{ type: "pause", ms: 500 },
{
type: "output",
lines: [
"",
'<span class="t-text">Found 2 issues in the PR and fixed both:</span>',
"",
'<span class="t-text"> <span class="t-green">✓</span> Empty tool schema crash in registry.py — added guard</span>',
'<span class="t-text"> <span class="t-green">✓</span> Missing error handling in delegate_tool.py — added try/except</span>',
"",
'<span class="t-text">Tests pass. Committed the fix and pushed to the PR branch.</span>',
'<span class="t-text">I also saved a</span> <span class="t-accent">skill</span> <span class="t-text">for this PR review pattern.</span>',
],
},
{ type: "pause", ms: 2500 },
{ type: "clear" },
{ type: "prompt", text: " " },
{
type: "type",
text: "How did we fix that Docker networking issue?",
delay: 35,
},
{ type: "pause", ms: 500 },
{
type: "output",
lines: [
"",
'<span class="t-dim"> session_search "Docker networking" 1.4s</span>',
],
},
{ type: "pause", ms: 500 },
{
type: "output",
lines: [
"",
'<span class="t-text">Found it — from a session on February 12th:</span>',
"",
'<span class="t-text">The containers couldn\'t reach each other because the compose</span>',
'<span class="t-text">file was using the default bridge network. We switched to a</span>',
'<span class="t-text">custom network with</span> <span class="t-accent">driver: overlay</span><span class="t-text">, added explicit</span>',
'<span class="t-text">aliases, and set</span> <span class="t-accent">dns: 8.8.8.8</span> <span class="t-text">as a fallback.</span>',
"",
'<span class="t-text">The fix was committed in</span> <span class="t-accent">docker-compose.prod.yml</span><span class="t-text">.</span>',
],
},
{ type: "pause", ms: 3000 },
];
class TerminalDemo {
constructor(container) {
this.container = container;
this.running = false;
this.content = "";
}
async start() {
if (this.running) return;
this.running = true;
while (this.running) {
for (const step of demoSequence) {
if (!this.running) return;
await this.execute(step);
}
this.clear();
await this.sleep(1000);
}
}
stop() {
this.running = false;
}
async execute(step) {
switch (step.type) {
case "prompt":
this.append(`<span class="t-prompt">${step.text}</span>`);
break;
case "type":
for (const char of step.text) {
if (!this.running) return;
this.append(`<span class="t-cmd">${char}</span>`);
await this.sleep(step.delay || 30);
}
break;
case "output":
for (const line of step.lines) {
if (!this.running) return;
this.append("\n" + line);
await this.sleep(50);
}
break;
case "pause":
await this.sleep(step.ms);
break;
case "clear":
this.clear();
break;
}
}
append(html) {
this.content += html;
this.render();
}
render() {
this.container.innerHTML = this.content + CURSOR;
this.container.scrollTop = this.container.scrollHeight;
}
clear() {
this.content = "";
this.container.innerHTML = "";
}
sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms));
}
}
// --- Noise Overlay (ported from hermes-chat NoiseOverlay) ---
function initNoiseOverlay() {
if (window.matchMedia("(prefers-reduced-motion: reduce)").matches) return;
if (typeof THREE === "undefined") return;
const canvas = document.getElementById("noise-overlay");
if (!canvas) return;
const vertexShader = `
varying vec2 vUv;
void main() {
vUv = uv;
gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0);
}
`;
const fragmentShader = `
uniform vec2 uRes;
uniform float uDpr, uSize, uDensity, uOpacity;
uniform vec3 uColor;
varying vec2 vUv;
float hash(vec2 p) {
vec3 p3 = fract(vec3(p.xyx) * 0.1031);
p3 += dot(p3, p3.yzx + 33.33);
return fract((p3.x + p3.y) * p3.z);
}
void main() {
float n = hash(floor(vUv * uRes / (uSize * uDpr)));
gl_FragColor = vec4(uColor, step(1.0 - uDensity, n)) * uOpacity;
}
`;
function hexToVec3(hex) {
const c = hex.replace("#", "");
return new THREE.Vector3(
parseInt(c.substring(0, 2), 16) / 255,
parseInt(c.substring(2, 4), 16) / 255,
parseInt(c.substring(4, 6), 16) / 255,
);
}
const renderer = new THREE.WebGLRenderer({
alpha: true,
canvas,
premultipliedAlpha: false,
});
renderer.setClearColor(0x000000, 0);
const scene = new THREE.Scene();
const camera = new THREE.OrthographicCamera(-1, 1, 1, -1, 0, 1);
const geo = new THREE.PlaneGeometry(2, 2);
const mat = new THREE.ShaderMaterial({
vertexShader,
fragmentShader,
transparent: true,
uniforms: {
uColor: { value: hexToVec3("#8090BB") },
uDensity: { value: 0.1 },
uDpr: { value: 1 },
uOpacity: { value: 0.4 },
uRes: { value: new THREE.Vector2() },
uSize: { value: 1.0 },
},
});
scene.add(new THREE.Mesh(geo, mat));
function resize() {
const dpr = window.devicePixelRatio;
const w = window.innerWidth;
const h = window.innerHeight;
renderer.setSize(w, h);
renderer.setPixelRatio(dpr);
mat.uniforms.uRes.value.set(w * dpr, h * dpr);
mat.uniforms.uDpr.value = dpr;
}
resize();
window.addEventListener("resize", resize);
function loop() {
requestAnimationFrame(loop);
renderer.render(scene, camera);
}
loop();
}
// --- Initialize ---
document.addEventListener("DOMContentLoaded", () => {
const detectedPlatform = detectPlatform();
switchPlatform(detectedPlatform);
initScrollAnimations();
initNoiseOverlay();
const terminalEl = document.getElementById("terminal-demo");
if (terminalEl) {
const demo = new TerminalDemo(terminalEl);
const observer = new IntersectionObserver(
(entries) => {
entries.forEach((entry) => {
if (entry.isIntersecting) {
demo.start();
} else {
demo.stop();
}
});
},
{ threshold: 0.3 },
);
observer.observe(document.querySelector(".terminal-window"));
}
const nav = document.querySelector(".nav");
let ticking = false;
window.addEventListener("scroll", () => {
if (!ticking) {
requestAnimationFrame(() => {
if (window.scrollY > 50) {
nav.style.borderBottomColor = "rgba(48, 80, 255, 0.15)";
} else {
nav.style.borderBottomColor = "";
}
ticking = false;
});
ticking = true;
}
});
});
File diff suppressed because it is too large Load Diff
@@ -1,12 +1,12 @@
---
name: honcho
description: Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, and dialectic reasoning. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation and recall settings.
version: 1.0.0
description: Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation, recall, and dialectic settings.
version: 2.0.0
author: Hermes Agent
license: MIT
metadata:
hermes:
tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling]
tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling, Session-Summary]
homepage: https://docs.honcho.dev
related_skills: [hermes-agent]
prerequisites:
@@ -22,8 +22,9 @@ Honcho provides AI-native cross-session user modeling. It learns who the user is
- Setting up Honcho (cloud or self-hosted)
- Troubleshooting memory not working / peers not syncing
- Creating multi-profile setups where each agent has its own Honcho peer
- Tuning observation, recall, or write frequency settings
- Understanding what the 4 Honcho tools do and when to use them
- Tuning observation, recall, dialectic depth, or write frequency settings
- Understanding what the 5 Honcho tools do and when to use them
- Configuring context budgets and session summary injection
## Setup
@@ -51,6 +52,27 @@ hermes honcho status # shows resolved config, connection test, peer info
## Architecture
### Base Context Injection
When Honcho injects context into the system prompt (in `hybrid` or `context` recall modes), it assembles the base context block in this order:
1. **Session summary** -- a short digest of the current session so far (placed first so the model has immediate conversational continuity)
2. **User representation** -- Honcho's accumulated model of the user (preferences, facts, patterns)
3. **AI peer card** -- the identity card for this Hermes profile's AI peer
The session summary is generated automatically by Honcho at the start of each turn (when a prior session exists). It gives the model a warm start without replaying full history.
### Cold / Warm Prompt Selection
Honcho automatically selects between two prompt strategies:
| Condition | Strategy | What happens |
|-----------|----------|--------------|
| No prior session or empty representation | **Cold start** | Lightweight intro prompt; skips summary injection; encourages the model to learn about the user |
| Existing representation and/or session history | **Warm start** | Full base context injection (summary → representation → card); richer system prompt |
You do not need to configure this -- it is automatic based on session state.
### Peers
Honcho models conversations as interactions between **peers**. Hermes creates two peers per session:
@@ -112,6 +134,63 @@ How the agent accesses Honcho memory:
| `context` | Yes | No (hidden) | Minimal token cost, no tool calls |
| `tools` | No | Yes | Agent controls all memory access explicitly |
## Three Orthogonal Knobs
Honcho's dialectic behavior is controlled by three independent dimensions. Each can be tuned without affecting the others:
### Cadence (when)
Controls **how often** dialectic and context calls happen.
| Key | Default | Description |
|-----|---------|-------------|
| `contextCadence` | `1` | Min turns between context API calls |
| `dialecticCadence` | `3` | Min turns between dialectic API calls |
| `injectionFrequency` | `every-turn` | `every-turn` or `first-turn` for base context injection |
Higher cadence values reduce API calls and cost. `dialecticCadence: 3` (default) means the dialectic engine fires at most every 3rd turn.
### Depth (how many)
Controls **how many rounds** of dialectic reasoning Honcho performs per query.
| Key | Default | Range | Description |
|-----|---------|-------|-------------|
| `dialecticDepth` | `1` | 1-3 | Number of dialectic reasoning rounds per query |
| `dialecticDepthLevels` | -- | array | Optional per-depth-round level overrides (see below) |
`dialecticDepth: 2` means Honcho runs two rounds of dialectic synthesis. The first round produces an initial answer; the second refines it.
`dialecticDepthLevels` lets you set the reasoning level for each round independently:
```json
{
"dialecticDepth": 3,
"dialecticDepthLevels": ["low", "medium", "high"]
}
```
If `dialecticDepthLevels` is omitted, rounds use **proportional levels** derived from `dialecticReasoningLevel` (the base):
| Depth | Pass levels |
|-------|-------------|
| 1 | [base] |
| 2 | [minimal, base] |
| 3 | [minimal, base, low] |
This keeps earlier passes cheap while using full depth on the final synthesis.
### Level (how hard)
Controls the **intensity** of each dialectic reasoning round.
| Key | Default | Description |
|-----|---------|-------------|
| `dialecticReasoningLevel` | `low` | `minimal`, `low`, `medium`, `high`, `max` |
| `dialecticDynamic` | `true` | When `true`, the model can pass `reasoning_level` to `honcho_reasoning` to override the default per-call. `false` = always use `dialecticReasoningLevel`, model overrides ignored |
Higher levels produce richer synthesis but cost more tokens on Honcho's backend.
## Multi-Profile Setup
Each Hermes profile gets its own Honcho AI peer while sharing the same workspace (user context). This means:
@@ -149,6 +228,7 @@ Override any setting in the host block:
"hermes.coder": {
"aiPeer": "coder",
"recallMode": "tools",
"dialecticDepth": 2,
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
@@ -160,19 +240,97 @@ Override any setting in the host block:
## Tools
The agent has 4 Honcho tools (hidden in `context` recall mode):
The agent has 5 bidirectional Honcho tools (hidden in `context` recall mode):
| Tool | LLM call? | Cost | Use when |
|------|-----------|------|----------|
| `honcho_profile` | No | minimal | Quick factual snapshot at conversation start or for fast name/role/pref lookups |
| `honcho_search` | No | low | Fetch specific past facts to reason over yourself — raw excerpts, no synthesis |
| `honcho_context` | No | low | Full session context snapshot: summary, representation, card, recent messages |
| `honcho_reasoning` | Yes | mediumhigh | Natural language question synthesized by Honcho's dialectic engine |
| `honcho_conclude` | No | minimal | Write or delete a persistent fact; pass `peer: "ai"` for AI self-knowledge |
### `honcho_profile`
Quick factual snapshot of the user -- name, role, preferences, patterns. No LLM call, minimal cost. Use at conversation start or for fast lookups.
Read or update a peer card — curated key facts (name, role, preferences, communication style). Pass `card: [...]` to update; omit to read. No LLM call.
### `honcho_search`
Semantic search over stored context. Returns raw excerpts ranked by relevance, no LLM synthesis. Default 800 tokens, max 2000. Use when you want specific past facts to reason over yourself.
Semantic search over stored context for a specific peer. Returns raw excerpts ranked by relevance, no synthesis. Default 800 tokens, max 2000. Good when you need specific past facts to reason over yourself rather than a synthesized answer.
### `honcho_context`
Natural language question answered by Honcho's dialectic reasoning (LLM call on Honcho's backend). Higher cost, higher quality. Can query about user (default) or the AI peer.
Full session context snapshot from Honcho — session summary, peer representation, peer card, and recent messages. No LLM call. Use when you want to see everything Honcho knows about the current session and peer in one shot.
### `honcho_reasoning`
Natural language question answered by Honcho's dialectic reasoning engine (LLM call on Honcho's backend). Higher cost, higher quality. Pass `reasoning_level` to control depth: `minimal` (fast/cheap) → `low``medium``high``max` (thorough). Omit to use the configured default (`low`). Use for synthesized understanding of the user's patterns, goals, or current state.
### `honcho_conclude`
Write a persistent fact about the user. Conclusions build the user's profile over time. Use when the user states a preference, corrects you, or shares something to remember.
Write or delete a persistent conclusion about a peer. Pass `conclusion: "..."` to create. Pass `delete_id: "..."` to remove a conclusion (for PII removal — Honcho self-heals incorrect conclusions over time, so deletion is only needed for PII). You MUST pass exactly one of the two.
### Bidirectional peer targeting
All 5 tools accept an optional `peer` parameter:
- `peer: "user"` (default) — operates on the user peer
- `peer: "ai"` — operates on this profile's AI peer
- `peer: "<explicit-id>"` — any peer ID in the workspace
Examples:
```
honcho_profile # read user's card
honcho_profile peer="ai" # read AI peer's card
honcho_reasoning query="What does this user care about most?"
honcho_reasoning query="What are my interaction patterns?" peer="ai" reasoning_level="medium"
honcho_conclude conclusion="Prefers terse answers"
honcho_conclude conclusion="I tend to over-explain code" peer="ai"
honcho_conclude delete_id="abc123" # PII removal
```
## Agent Usage Patterns
Guidelines for Hermes when Honcho memory is active.
### On conversation start
```
1. honcho_profile → fast warmup, no LLM cost
2. If context looks thin → honcho_context (full snapshot, still no LLM)
3. If deep synthesis needed → honcho_reasoning (LLM call, use sparingly)
```
Do NOT call `honcho_reasoning` on every turn. Auto-injection already handles ongoing context refresh. Use the reasoning tool only when you genuinely need synthesized insight the base context doesn't provide.
### When the user shares something to remember
```
honcho_conclude conclusion="<specific, actionable fact>"
```
Good conclusions: "Prefers code examples over prose explanations", "Working on a Rust async project through April 2026"
Bad conclusions: "User said something about Rust" (too vague), "User seems technical" (already in representation)
### When the user asks about past context / you need to recall specifics
```
honcho_search query="<topic>" → fast, no LLM, good for specific facts
honcho_context → full snapshot with summary + messages
honcho_reasoning query="<question>" → synthesized answer, use when search isn't enough
```
### When to use `peer: "ai"`
Use AI peer targeting to build and query the agent's own self-knowledge:
- `honcho_conclude conclusion="I tend to be verbose when explaining architecture" peer="ai"` — self-correction
- `honcho_reasoning query="How do I typically handle ambiguous requests?" peer="ai"` — self-audit
- `honcho_profile peer="ai"` — review own identity card
### When NOT to call tools
In `hybrid` and `context` modes, base context (user representation + card + session summary) is auto-injected before every turn. Do not re-fetch what was already injected. Call tools only when:
- You need something the injected context doesn't have
- The user explicitly asks you to recall or check memory
- You're writing a conclusion about something new
### Cadence awareness
`honcho_reasoning` on the tool side shares the same cost as auto-injection dialectic. After an explicit tool call, the auto-injection cadence resets — avoiding double-charging the same turn.
## Config Reference
@@ -191,18 +349,39 @@ Config file: `$HERMES_HOME/honcho.json` (profile-local) or `~/.honcho/config.jso
| `observation` | all on | Per-peer `observeMe`/`observeOthers` booleans |
| `writeFrequency` | `async` | `async`, `turn`, `session`, or integer N |
| `sessionStrategy` | `per-directory` | `per-directory`, `per-repo`, `per-session`, `global` |
| `dialecticReasoningLevel` | `low` | `minimal`, `low`, `medium`, `high`, `max` |
| `dialecticDynamic` | `true` | Auto-bump reasoning by query length. `false` = fixed level |
| `messageMaxChars` | `25000` | Max chars per message (chunked if exceeded) |
| `dialecticMaxInputChars` | `10000` | Max chars for dialectic query input |
### Cost-awareness (advanced, root config only)
### Dialectic settings
| Key | Default | Description |
|-----|---------|-------------|
| `dialecticReasoningLevel` | `low` | `minimal`, `low`, `medium`, `high`, `max` |
| `dialecticDynamic` | `true` | Auto-bump reasoning by query complexity. `false` = fixed level |
| `dialecticDepth` | `1` | Number of dialectic rounds per query (1-3) |
| `dialecticDepthLevels` | -- | Optional array of per-round levels, e.g. `["low", "high"]` |
| `dialecticMaxInputChars` | `10000` | Max chars for dialectic query input |
### Context budget and injection
| Key | Default | Description |
|-----|---------|-------------|
| `contextTokens` | uncapped | Max tokens for the combined base context injection (summary + representation + card). Opt-in cap — omit to leave uncapped, set to an integer to bound injection size. |
| `injectionFrequency` | `every-turn` | `every-turn` or `first-turn` |
| `contextCadence` | `1` | Min turns between context API calls |
| `dialecticCadence` | `1` | Min turns between dialectic API calls |
| `dialecticCadence` | `3` | Min turns between dialectic LLM calls |
The `contextTokens` budget is enforced at injection time. If the session summary + representation + card exceed the budget, Honcho trims the summary first, then the representation, preserving the card. This prevents context blowup in long sessions.
### Memory-context sanitization
Honcho sanitizes the `memory-context` block before injection to prevent prompt injection and malformed content:
- Strips XML/HTML tags from user-authored conclusions
- Normalizes whitespace and control characters
- Truncates individual conclusions that exceed `messageMaxChars`
- Escapes delimiter sequences that could break the system prompt structure
This fix addresses edge cases where raw user conclusions containing markup or special characters could corrupt the injected context block.
## Troubleshooting
@@ -221,6 +400,12 @@ Observation config is synced from the server on each session init. Start a new s
### Messages truncated
Messages over `messageMaxChars` (default 25k) are automatically chunked with `[continued]` markers. If you're hitting this often, check if tool results or skill content is inflating message size.
### Context injection too large
If you see warnings about context budget exceeded, lower `contextTokens` or reduce `dialecticDepth`. The session summary is trimmed first when the budget is tight.
### Session summary missing
Session summary requires at least one prior turn in the current Honcho session. On cold start (new session, no history), the summary is omitted and Honcho uses the cold-start prompt strategy instead.
## CLI Commands
| Command | Description |
@@ -0,0 +1,361 @@
---
name: concept-diagrams
description: Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
version: 0.1.0
author: v1k22 (original PR), ported into hermes-agent
license: MIT
dependencies: []
metadata:
hermes:
tags: [diagrams, svg, visualization, education, physics, chemistry, engineering]
related_skills: [architecture-diagram, excalidraw, generative-widgets]
---
# Concept Diagrams
Generate production-quality SVG diagrams with a unified flat, minimal design system. Output is a single self-contained HTML file that renders identically in any modern browser, with automatic light/dark mode.
## Scope
**Best suited for:**
- Physics setups, chemistry mechanisms, math curves, biology
- Physical objects (aircraft, turbines, smartphones, mechanical watches, cells)
- Anatomy, cross-sections, exploded layer views
- Floor plans, architectural conversions
- Narrative journeys (lifecycle of X, process of Y)
- Hub-spoke system integrations (smart city, IoT networks, electricity grids)
- Educational / textbook-style visuals in any domain
- Quantitative charts (grouped bars, energy profiles)
**Look elsewhere first for:**
- Dedicated software / cloud infrastructure architecture with a dark tech aesthetic (consider `architecture-diagram` if available)
- Hand-drawn whiteboard sketches (consider `excalidraw` if available)
- Animated explainers or video output (consider an animation skill)
If a more specialized skill is available for the subject, prefer that. If none fits, this skill can serve as a general-purpose SVG diagram fallback — the output will carry the clean educational aesthetic described below, which is a reasonable default for almost any subject.
## Workflow
1. Decide on the diagram type (see Diagram Types below).
2. Lay out components using the Design System rules.
3. Write the full HTML page using `templates/template.html` as the wrapper — paste your SVG where the template says `<!-- PASTE SVG HERE -->`.
4. Save as a standalone `.html` file (for example `~/my-diagram.html` or `./my-diagram.html`).
5. User opens it directly in a browser — no server, no dependencies.
Optional: if the user wants a browsable gallery of multiple diagrams, see "Local Preview Server" at the bottom.
Load the HTML template:
```
skill_view(name="concept-diagrams", file_path="templates/template.html")
```
The template embeds the full CSS design system (`c-*` color classes, text classes, light/dark variables, arrow marker styles). The SVG you generate relies on these classes being present on the hosting page.
---
## Design System
### Philosophy
- **Flat**: no gradients, drop shadows, blur, glow, or neon effects.
- **Minimal**: show the essential. No decorative icons inside boxes.
- **Consistent**: same colors, spacing, typography, and stroke widths across every diagram.
- **Dark-mode ready**: all colors auto-adapt via CSS classes — no per-mode SVG.
### Color Palette
9 color ramps, each with 7 stops. Put the class name on a `<g>` or shape element; the template CSS handles both modes.
| Class | 50 (lightest) | 100 | 200 | 400 | 600 | 800 | 900 (darkest) |
|------------|---------------|---------|---------|---------|---------|---------|---------------|
| `c-purple` | #EEEDFE | #CECBF6 | #AFA9EC | #7F77DD | #534AB7 | #3C3489 | #26215C |
| `c-teal` | #E1F5EE | #9FE1CB | #5DCAA5 | #1D9E75 | #0F6E56 | #085041 | #04342C |
| `c-coral` | #FAECE7 | #F5C4B3 | #F0997B | #D85A30 | #993C1D | #712B13 | #4A1B0C |
| `c-pink` | #FBEAF0 | #F4C0D1 | #ED93B1 | #D4537E | #993556 | #72243E | #4B1528 |
| `c-gray` | #F1EFE8 | #D3D1C7 | #B4B2A9 | #888780 | #5F5E5A | #444441 | #2C2C2A |
| `c-blue` | #E6F1FB | #B5D4F4 | #85B7EB | #378ADD | #185FA5 | #0C447C | #042C53 |
| `c-green` | #EAF3DE | #C0DD97 | #97C459 | #639922 | #3B6D11 | #27500A | #173404 |
| `c-amber` | #FAEEDA | #FAC775 | #EF9F27 | #BA7517 | #854F0B | #633806 | #412402 |
| `c-red` | #FCEBEB | #F7C1C1 | #F09595 | #E24B4A | #A32D2D | #791F1F | #501313 |
#### Color Assignment Rules
Color encodes **meaning**, not sequence. Never cycle through colors like a rainbow.
- Group nodes by **category** — all nodes of the same type share one color.
- Use `c-gray` for neutral/structural nodes (start, end, generic steps, users).
- Use **2-3 colors per diagram**, not 6+.
- Prefer `c-purple`, `c-teal`, `c-coral`, `c-pink` for general categories.
- Reserve `c-blue`, `c-green`, `c-amber`, `c-red` for semantic meaning (info, success, warning, error).
Light/dark stop mapping (handled by the template CSS — just use the class):
- Light mode: 50 fill + 600 stroke + 800 title / 600 subtitle
- Dark mode: 800 fill + 200 stroke + 100 title / 200 subtitle
### Typography
Only two font sizes. No exceptions.
| Class | Size | Weight | Use |
|-------|------|--------|-----|
| `th` | 14px | 500 | Node titles, region labels |
| `ts` | 12px | 400 | Subtitles, descriptions, arrow labels |
| `t` | 14px | 400 | General text |
- **Sentence case always.** Never Title Case, never ALL CAPS.
- Every `<text>` MUST carry a class (`t`, `ts`, or `th`). No unclassed text.
- `dominant-baseline="central"` on all text inside boxes.
- `text-anchor="middle"` for centered text in boxes.
**Width estimation (approx):**
- 14px weight 500: ~8px per character
- 12px weight 400: ~6.5px per character
- Always verify: `box_width >= (char_count × px_per_char) + 48` (24px padding each side)
### Spacing & Layout
- **ViewBox**: `viewBox="0 0 680 H"` where H = content height + 40px buffer.
- **Safe area**: x=40 to x=640, y=40 to y=(H-40).
- **Between boxes**: 60px minimum gap.
- **Inside boxes**: 24px horizontal padding, 12px vertical padding.
- **Arrowhead gap**: 10px between arrowhead and box edge.
- **Single-line box**: 44px height.
- **Two-line box**: 56px height, 18px between title and subtitle baselines.
- **Container padding**: 20px minimum inside every container.
- **Max nesting**: 2-3 levels deep. Deeper gets unreadable at 680px width.
### Stroke & Shape
- **Stroke width**: 0.5px on all node borders. Not 1px, not 2px.
- **Rect rounding**: `rx="8"` for nodes, `rx="12"` for inner containers, `rx="16"` to `rx="20"` for outer containers.
- **Connector paths**: MUST have `fill="none"`. SVG defaults to `fill: black` otherwise.
### Arrow Marker
Include this `<defs>` block at the start of **every** SVG:
```xml
<defs>
<marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
</defs>
```
Use `marker-end="url(#arrow)"` on lines. The arrowhead inherits the line color via `context-stroke`.
### CSS Classes (Provided by the Template)
The template page provides:
- Text: `.t`, `.ts`, `.th`
- Neutral: `.box`, `.arr`, `.leader`, `.node`
- Color ramps: `.c-purple`, `.c-teal`, `.c-coral`, `.c-pink`, `.c-gray`, `.c-blue`, `.c-green`, `.c-amber`, `.c-red` (all with automatic light/dark mode)
You do **not** need to redefine these — just apply them in your SVG. The template file contains the full CSS definitions.
---
## SVG Boilerplate
Every SVG inside the template page starts with this exact structure:
```xml
<svg width="100%" viewBox="0 0 680 {HEIGHT}" xmlns="http://www.w3.org/2000/svg">
<defs>
<marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
</defs>
<!-- Diagram content here -->
</svg>
```
Replace `{HEIGHT}` with the actual computed height (last element bottom + 40px).
### Node Patterns
**Single-line node (44px):**
```xml
<g class="node c-blue">
<rect x="100" y="20" width="180" height="44" rx="8" stroke-width="0.5"/>
<text class="th" x="190" y="42" text-anchor="middle" dominant-baseline="central">Service name</text>
</g>
```
**Two-line node (56px):**
```xml
<g class="node c-teal">
<rect x="100" y="20" width="200" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="200" y="38" text-anchor="middle" dominant-baseline="central">Service name</text>
<text class="ts" x="200" y="56" text-anchor="middle" dominant-baseline="central">Short description</text>
</g>
```
**Connector (no label):**
```xml
<line x1="200" y1="76" x2="200" y2="120" class="arr" marker-end="url(#arrow)"/>
```
**Container (dashed or solid):**
```xml
<g class="c-purple">
<rect x="40" y="92" width="600" height="300" rx="16" stroke-width="0.5"/>
<text class="th" x="66" y="116">Container label</text>
<text class="ts" x="66" y="134">Subtitle info</text>
</g>
```
---
## Diagram Types
Choose the layout that fits the subject:
1. **Flowchart** — CI/CD pipelines, request lifecycles, approval workflows, data processing. Single-direction flow (top-down or left-right). Max 4-5 nodes per row.
2. **Structural / Containment** — Cloud infrastructure nesting, system architecture with layers. Large outer containers with inner regions. Dashed rects for logical groupings.
3. **API / Endpoint Map** — REST routes, GraphQL schemas. Tree from root, branching to resource groups, each containing endpoint nodes.
4. **Microservice Topology** — Service mesh, event-driven systems. Services as nodes, arrows for communication patterns, message queues between.
5. **Data Flow** — ETL pipelines, streaming architectures. Left-to-right flow from sources through processing to sinks.
6. **Physical / Structural** — Vehicles, buildings, hardware, anatomy. Use shapes that match the physical form — `<path>` for curved bodies, `<polygon>` for tapered shapes, `<ellipse>`/`<circle>` for cylindrical parts, nested `<rect>` for compartments. See `references/physical-shape-cookbook.md`.
7. **Infrastructure / Systems Integration** — Smart cities, IoT networks, multi-domain systems. Hub-spoke layout with central platform connecting subsystems. Semantic line styles (`.data-line`, `.power-line`, `.water-pipe`, `.road`). See `references/infrastructure-patterns.md`.
8. **UI / Dashboard Mockups** — Admin panels, monitoring dashboards. Screen frame with nested chart/gauge/indicator elements. See `references/dashboard-patterns.md`.
For physical, infrastructure, and dashboard diagrams, load the matching reference file before generating — each one provides ready-made CSS classes and shape primitives.
---
## Validation Checklist
Before finalizing any SVG, verify ALL of the following:
1. Every `<text>` has class `t`, `ts`, or `th`.
2. Every `<text>` inside a box has `dominant-baseline="central"`.
3. Every connector `<path>` or `<line>` used as arrow has `fill="none"`.
4. No arrow line crosses through an unrelated box.
5. `box_width >= (longest_label_chars × 8) + 48` for 14px text.
6. `box_width >= (longest_label_chars × 6.5) + 48` for 12px text.
7. ViewBox height = bottom-most element + 40px.
8. All content stays within x=40 to x=640.
9. Color classes (`c-*`) are on `<g>` or shape elements, never on `<path>` connectors.
10. Arrow `<defs>` block is present.
11. No gradients, shadows, blur, or glow effects.
12. Stroke width is 0.5px on all node borders.
---
## Output & Preview
### Default: standalone HTML file
Write a single `.html` file the user can open directly. No server, no dependencies, works offline. Pattern:
```python
# 1. Load the template
template = skill_view("concept-diagrams", "templates/template.html")
# 2. Fill in title, subtitle, and paste your SVG
html = template.replace(
"<!-- DIAGRAM TITLE HERE -->", "SN2 reaction mechanism"
).replace(
"<!-- OPTIONAL SUBTITLE HERE -->", "Bimolecular nucleophilic substitution"
).replace(
"<!-- PASTE SVG HERE -->", svg_content
)
# 3. Write to a user-chosen path (or ./ by default)
write_file("./sn2-mechanism.html", html)
```
Tell the user how to open it:
```
# macOS
open ./sn2-mechanism.html
# Linux
xdg-open ./sn2-mechanism.html
```
### Optional: local preview server (multi-diagram gallery)
Only use this when the user explicitly wants a browsable gallery of multiple diagrams.
**Rules:**
- Bind to `127.0.0.1` only. Never `0.0.0.0`. Exposing diagrams on all network interfaces is a security hazard on shared networks.
- Pick a free port (do NOT hard-code one) and tell the user the chosen URL.
- The server is optional and opt-in — prefer the standalone HTML file first.
Recommended pattern (lets the OS pick a free ephemeral port):
```bash
# Put each diagram in its own folder under .diagrams/
mkdir -p .diagrams/sn2-mechanism
# ...write .diagrams/sn2-mechanism/index.html...
# Serve on loopback only, free port
cd .diagrams && python3 -c "
import http.server, socketserver
with socketserver.TCPServer(('127.0.0.1', 0), http.server.SimpleHTTPRequestHandler) as s:
print(f'Serving at http://127.0.0.1:{s.server_address[1]}/')
s.serve_forever()
" &
```
If the user insists on a fixed port, use `127.0.0.1:<port>` — still never `0.0.0.0`. Document how to stop the server (`kill %1` or `pkill -f "http.server"`).
---
## Examples Reference
The `examples/` directory ships 15 complete, tested diagrams. Browse them for working patterns before writing a new diagram of a similar type:
| File | Type | Demonstrates |
|------|------|--------------|
| `hospital-emergency-department-flow.md` | Flowchart | Priority routing with semantic colors |
| `feature-film-production-pipeline.md` | Flowchart | Phased workflow, horizontal sub-flows |
| `automated-password-reset-flow.md` | Flowchart | Auth flow with error branches |
| `autonomous-llm-research-agent-flow.md` | Flowchart | Loop-back arrows, decision branches |
| `place-order-uml-sequence.md` | Sequence | UML sequence diagram style |
| `commercial-aircraft-structure.md` | Physical | Paths, polygons, ellipses for realistic shapes |
| `wind-turbine-structure.md` | Physical cross-section | Underground/above-ground separation, color coding |
| `smartphone-layer-anatomy.md` | Exploded view | Alternating left/right labels, layered components |
| `apartment-floor-plan-conversion.md` | Floor plan | Walls, doors, proposed changes in dotted red |
| `banana-journey-tree-to-smoothie.md` | Narrative journey | Winding path, progressive state changes |
| `cpu-ooo-microarchitecture.md` | Hardware pipeline | Fan-out, memory hierarchy sidebar |
| `sn2-reaction-mechanism.md` | Chemistry | Molecules, curved arrows, energy profile |
| `smart-city-infrastructure.md` | Hub-spoke | Semantic line styles per system |
| `electricity-grid-flow.md` | Multi-stage flow | Voltage hierarchy, flow markers |
| `ml-benchmark-grouped-bar-chart.md` | Chart | Grouped bars, dual axis |
Load any example with:
```
skill_view(name="concept-diagrams", file_path="examples/<filename>")
```
---
## Quick Reference: What to Use When
| User says | Diagram type | Suggested colors |
|-----------|--------------|------------------|
| "show the pipeline" | Flowchart | gray start/end, purple steps, red errors, teal deploy |
| "draw the data flow" | Data pipeline (left-right) | gray sources, purple processing, teal sinks |
| "visualize the system" | Structural (containment) | purple container, teal services, coral data |
| "map the endpoints" | API tree | purple root, one ramp per resource group |
| "show the services" | Microservice topology | gray ingress, teal services, purple bus, coral workers |
| "draw the aircraft/vehicle" | Physical | paths, polygons, ellipses for realistic shapes |
| "smart city / IoT" | Hub-spoke integration | semantic line styles per subsystem |
| "show the dashboard" | UI mockup | dark screen, chart colors: teal, purple, coral for alerts |
| "power grid / electricity" | Multi-stage flow | voltage hierarchy (HV/MV/LV line weights) |
| "wind turbine / turbine" | Physical cross-section | foundation + tower cutaway + nacelle color-coded |
| "journey of X / lifecycle" | Narrative journey | winding path, progressive state changes |
| "layers of X / exploded" | Exploded layer view | vertical stack, alternating labels |
| "CPU / pipeline" | Hardware pipeline | vertical stages, fan-out to execution ports |
| "floor plan / apartment" | Floor plan | walls, doors, proposed changes in dotted red |
| "reaction mechanism" | Chemistry | atoms, bonds, curved arrows, transition state, energy profile |
@@ -0,0 +1,244 @@
# Apartment Floor Plan: 3 BHK to 4 BHK Conversion
An architectural floor plan showing a 1,500 sq ft apartment with proposed modifications to convert from 3 BHK to 4 BHK. Demonstrates architectural drawing conventions, room layouts, proposed changes with dotted lines, and area comparison tables.
## Key Patterns Used
- **Architectural floor plan**: Top-down view with walls, doors, windows
- **Proposed modifications**: Dotted red lines for new walls
- **Room color coding**: Light fills to distinguish room types
- **Circulation paths**: Arrows showing new access routes
- **Data table**: Before/after area comparison with highlighting
- **Architectural symbols**: North arrow, scale bar, door swings
## Diagram Type
This is an **architectural floor plan** with:
- **Plan view**: Top-down orthographic projection
- **Overlay technique**: Existing structure + proposed changes
- **Quantitative data**: Area measurements and comparison table
## Architectural Drawing Elements
### Wall Styles
```xml
<!-- Outer walls (thick) -->
<line class="wall" x1="0" y1="0" x2="560" y2="0"/>
<!-- Internal walls (thinner) -->
<line class="wall-thin" x1="180" y1="0" x2="180" y2="140"/>
<!-- Proposed new walls (dotted red) -->
<line class="proposed-wall" x1="125" y1="170" x2="125" y2="330"/>
```
```css
.wall { stroke: var(--text-primary); stroke-width: 6; fill: none; stroke-linecap: square; }
.wall-thin { stroke: var(--text-primary); stroke-width: 3; fill: none; }
.proposed-wall { stroke: #A32D2D; stroke-width: 4; fill: none; stroke-dasharray: 8 4; }
```
### Door Symbols
```xml
<!-- Door opening with swing arc -->
<rect x="150" y="137" width="25" height="6" fill="var(--bg-primary)"/>
<path class="door" d="M150,140 L150,165"/>
<path class="door-swing" d="M150,140 A25,25 0 0,0 175,140"/>
<!-- Sliding door (balcony) -->
<rect x="60" y="327" width="60" height="6" fill="var(--bg-primary)" stroke="var(--text-secondary)" stroke-width="1"/>
<line x1="60" y1="330" x2="90" y2="330" stroke="var(--text-secondary)" stroke-width="2"/>
<line x1="90" y1="330" x2="120" y2="330" stroke="var(--text-secondary)" stroke-width="2" stroke-dasharray="3 3"/>
<!-- Proposed door (dotted) -->
<rect x="143" y="292" width="22" height="6" fill="var(--bg-primary)" stroke="#A32D2D" stroke-width="1" stroke-dasharray="3 2"/>
<path d="M165,295 A22,22 0 0,0 165,273" stroke="#A32D2D" stroke-width="1" stroke-dasharray="3 2" fill="none"/>
```
```css
.door { stroke: var(--text-secondary); stroke-width: 1.5; fill: none; }
.door-swing { stroke: var(--text-tertiary); stroke-width: 1; fill: none; stroke-dasharray: 3 2; }
```
### Window Symbols
```xml
<!-- Window with glass indication -->
<rect class="window" x="-3" y="30" width="6" height="50"/>
<line class="window-glass" x1="0" y1="35" x2="0" y2="75"/>
<!-- Horizontal window (top wall) -->
<rect class="window" x="220" y="-3" width="60" height="6"/>
<line class="window-glass" x1="225" y1="0" x2="275" y2="0"/>
```
```css
.window { stroke: var(--text-primary); stroke-width: 1; fill: var(--bg-primary); }
.window-glass { stroke: #378ADD; stroke-width: 2; fill: none; }
```
### Room Fills
```xml
<!-- Different colors for room types -->
<rect class="room-master" x="3" y="3" width="174" height="134" rx="2"/>
<rect class="room-bed2" x="183" y="3" width="134" height="104" rx="2"/>
<rect class="room-living" x="3" y="173" width="554" height="154" rx="2"/>
<rect class="room-kitchen" x="443" y="3" width="114" height="104" rx="2"/>
<rect class="room-bath" x="183" y="113" width="54" height="54" rx="2"/>
<!-- Proposed new room (highlighted) -->
<rect class="room-new" x="3" y="223" width="120" height="104"/>
```
```css
.room-master { fill: rgba(206, 203, 246, 0.3); } /* purple tint */
.room-bed2 { fill: rgba(159, 225, 203, 0.3); } /* teal tint */
.room-bed3 { fill: rgba(250, 199, 117, 0.3); } /* amber tint */
.room-living { fill: rgba(245, 196, 179, 0.3); } /* coral tint */
.room-kitchen { fill: rgba(237, 147, 177, 0.3); } /* pink tint */
.room-bath { fill: rgba(133, 183, 235, 0.3); } /* blue tint */
.room-new { fill: rgba(163, 45, 45, 0.15); } /* red tint for proposed */
```
### Support Fixtures
```xml
<!-- Kitchen counter hint -->
<rect x="450" y="15" width="50" height="25" fill="none" stroke="var(--text-tertiary)" stroke-width="0.5" rx="2"/>
<text class="tx" x="475" y="30" text-anchor="middle">Counter</text>
<!-- Balcony (dashed outline) -->
<rect class="balcony-fill" x="3" y="333" width="200" height="50"/>
```
```css
.balcony { fill: none; stroke: var(--text-secondary); stroke-width: 2; stroke-dasharray: 6 3; }
.balcony-fill { fill: rgba(93, 202, 165, 0.1); }
```
### Room Labels
```xml
<!-- Room name and area -->
<text class="room-label" x="90" y="65" text-anchor="middle">MASTER</text>
<text class="room-label" x="90" y="78" text-anchor="middle">BEDROOM</text>
<text class="area-label" x="90" y="95" text-anchor="middle">195 sq ft</text>
<!-- Proposed room (in red) -->
<text class="room-label" x="63" y="268" text-anchor="middle" fill="#A32D2D">BEDROOM 4</text>
<text class="tx" x="63" y="282" text-anchor="middle" fill="#A32D2D">(NEW)</text>
```
```css
.room-label { font-family: system-ui; font-size: 11px; fill: var(--text-primary); font-weight: 500; }
.area-label { font-family: system-ui; font-size: 9px; fill: var(--text-tertiary); }
```
### Circulation Arrow
```xml
<defs>
<marker id="circ-arrow" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="6" markerHeight="6" orient="auto">
<path d="M0,0 L10,5 L0,10 Z" class="circulation-fill"/>
</marker>
</defs>
<path class="circulation" d="M300,250 L200,250 L145,250 L145,280" marker-end="url(#circ-arrow)"/>
<text class="tx" x="250" y="242" fill="#3B6D11" font-weight="500">New corridor access</text>
```
```css
.circulation { stroke: #3B6D11; stroke-width: 2; fill: none; }
.circulation-fill { fill: #3B6D11; }
```
### North Arrow and Scale Bar
```xml
<!-- North arrow -->
<g transform="translate(520, 260)">
<circle cx="0" cy="0" r="20" fill="none" stroke="var(--text-tertiary)" stroke-width="0.5"/>
<polygon points="0,-18 -5,5 0,0 5,5" fill="var(--text-primary)"/>
<text class="tx" x="0" y="-22" text-anchor="middle">N</text>
</g>
<!-- Scale bar -->
<g transform="translate(420, 300)">
<line x1="0" y1="0" x2="100" y2="0" stroke="var(--text-primary)" stroke-width="2"/>
<line x1="0" y1="-5" x2="0" y2="5" stroke="var(--text-primary)" stroke-width="1"/>
<line x1="50" y1="-3" x2="50" y2="3" stroke="var(--text-primary)" stroke-width="1"/>
<line x1="100" y1="-5" x2="100" y2="5" stroke="var(--text-primary)" stroke-width="1"/>
<text class="tx" x="0" y="15" text-anchor="middle">0</text>
<text class="tx" x="50" y="15" text-anchor="middle">5'</text>
<text class="tx" x="100" y="15" text-anchor="middle">10'</text>
</g>
```
## Area Comparison Table
### Table Structure
```xml
<!-- Header row -->
<rect class="table-header" x="0" y="0" width="180" height="28" rx="4 4 0 0"/>
<text class="ts" x="90" y="18" text-anchor="middle" font-weight="500">Room</text>
<!-- Normal row -->
<rect class="table-row" x="0" y="28" width="180" height="24"/>
<text class="tx" x="10" y="44">Master Bedroom</text>
<text class="tx" x="230" y="44" text-anchor="middle">195</text>
<!-- Alternating row -->
<rect class="table-row-alt" x="0" y="52" width="180" height="24"/>
<!-- Highlighted row (for changes) -->
<rect class="table-highlight" x="0" y="100" width="180" height="24"/>
<text class="tx" x="10" y="116" fill="#A32D2D" font-weight="500">Bedroom 4 (NEW)</text>
<text class="tx" x="430" y="116" text-anchor="middle" fill="#3B6D11">+100</text>
<!-- Total row -->
<rect x="0" y="268" width="180" height="28" fill="var(--bg-secondary)" stroke="var(--border)" stroke-width="1"/>
<text class="ts" x="10" y="286" font-weight="500">TOTAL CARPET AREA</text>
```
```css
.table-header { fill: var(--bg-secondary); }
.table-row { fill: var(--bg-primary); stroke: var(--border); stroke-width: 0.5; }
.table-row-alt { fill: var(--bg-tertiary); stroke: var(--border); stroke-width: 0.5; }
.table-highlight { fill: rgba(163, 45, 45, 0.1); stroke: #A32D2D; stroke-width: 0.5; }
```
## Layout Notes
- **ViewBox**: 800×780 (portrait for floor plan + table)
- **Scale**: 10px = 1 foot (apartment ~50ft × 33ft)
- **Floor plan origin**: Offset at (50, 60) for margins
- **Wall thickness**: 6px outer, 3px inner (represents ~6" walls)
- **Room labels**: Centered in each room with area below
- **Table placement**: Below floor plan with full width
## Color Coding
| Element | Color | Usage |
|---------|-------|-------|
| Proposed walls | Red (#A32D2D) dotted | New construction |
| New room fill | Red 15% opacity | Bedroom 4 area |
| Circulation | Green (#3B6D11) | New access path |
| Window glass | Blue (#378ADD) | Glass indication |
| Bedrooms | Purple/Teal/Amber tints | Room differentiation |
| Wet areas | Blue tint | Bathrooms |
| Living | Coral tint | Common areas |
## When to Use This Pattern
Use this diagram style for:
- Apartment/house floor plans
- Office layout planning
- Renovation proposals showing before/after
- Space planning with area calculations
- Real estate marketing materials
- Interior design presentations
- Building permit documentation
@@ -0,0 +1,276 @@
# Automated Password Reset Flow
A two-section flowchart tracing the full user journey for a web application password reset: the initial request phase (forgot password → email check → token generation) and the reset-form phase (link click → new password entry → token/password validation). Demonstrates multi-exit decision diamonds, a three-column branching layout, a loop-back path, and a cross-section separator arrow.
## Key Patterns Used
- **Three-column layout**: Left column (error/terminal branches at cx=115), center column (main happy path at cx=340), right column (expired-token branch at cx=552) — allows side branches to live at the same y-level as center nodes without overlap
- **Decision diamonds with `<polygon>`**: Each decision uses a `<g class="decision">` wrapper containing a `<polygon>` and centered `<text>`; the diamond points are computed as `cx±hw, cy±hh` (hw=100, hh=28)
- **Pill-shaped terminals**: Start and end nodes use `rx=22` on their `<rect>` to signal entry/exit points; all mid-flow process nodes use `rx=8`
- **Three-branch decision paths**: Each diamond has a "Yes" branch (down, short `<line>`) and a "No" branch (`<path>` going horizontal then vertical to a side column)
- **Loop-back path**: Mismatch error node loops back to the password-entry node via a routing corridor at x=215 — a 5-px gap between the left column (right edge x=210) and center column (left edge x=220); the path exits the bottom of the error node, drops below it, travels right to x=215, then goes up to the target node's center y, then right 5 px into the node's left edge
- **Section separator**: A dashed horizontal `<line>` at y=452 splits the two phases; the connecting arrow crosses it with a faded label ("user receives email") to preserve flow continuity
- **Italic annotation**: The exact UX copy for the generic message ("If that email exists…") is shown as a faded italic `ts` text block below the left-branch terminal node
- **Legend row**: Five inline swatches (gray, purple, teal, red, amber diamond) at the bottom explain the color-to-role mapping
## Diagram
```xml
<svg width="100%" viewBox="0 0 680 960" xmlns="http://www.w3.org/2000/svg">
<defs>
<marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
</defs>
<!--
Column layout (680px viewBox, safe area x=40640):
Left col : x=20, w=190, cx=115 (error / terminal branches)
Center col: x=220, w=240, cx=340 (main happy path)
Right col: x=465, w=175, cx=552 (expired-token branch)
Loop corridor at x=215 (5-px gap between left and center cols)
-->
<!-- ═══ SECTION 1 — Forgot password request ═══ -->
<text class="ts" x="40" y="38" opacity=".45">Section 1 — Forgot password request</text>
<!-- START terminal (pill rx=22 signals start/end) -->
<g class="c-gray">
<rect x="220" y="46" width="240" height="44" rx="22"/>
<text class="th" x="340" y="68" text-anchor="middle" dominant-baseline="central">User: &quot;Forgot password&quot;</text>
</g>
<line x1="340" y1="90" x2="340" y2="108" class="arr" marker-end="url(#arrow)"/>
<!-- N2 · Enter email -->
<g class="c-gray">
<rect x="220" y="108" width="240" height="44" rx="8"/>
<text class="th" x="340" y="130" text-anchor="middle" dominant-baseline="central">Enter email address</text>
</g>
<line x1="340" y1="152" x2="340" y2="172" class="arr" marker-end="url(#arrow)"/>
<!-- D1 · Email in system? diamond: center=(340,200) hw=100 hh=28 -->
<g class="decision">
<polygon points="340,172 440,200 340,228 240,200"/>
<text class="th" x="340" y="200" text-anchor="middle" dominant-baseline="central">Email in system?</text>
</g>
<!-- D1 "No" → left column -->
<path d="M 240,200 L 115,200 L 115,248" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="178" y="193" text-anchor="middle" opacity=".75">No</text>
<!-- D1 "Yes" → continue down -->
<line x1="340" y1="228" x2="340" y2="248" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="348" y="242" text-anchor="start" opacity=".75">Yes</text>
<!-- ── Left branch (D1 = No): generic security message → end ── -->
<!-- L1 · Generic message (security: never confirm email existence) -->
<g class="c-gray">
<rect x="20" y="248" width="190" height="56" rx="8"/>
<text class="th" x="115" y="269" text-anchor="middle" dominant-baseline="central">Generic message shown</text>
<text class="ts" x="115" y="287" text-anchor="middle" dominant-baseline="central">Email sent if found</text>
</g>
<line x1="115" y1="304" x2="115" y2="324" class="arr" marker-end="url(#arrow)"/>
<!-- L2 · End terminal (left) -->
<g class="c-gray">
<rect x="20" y="324" width="190" height="44" rx="22"/>
<text class="th" x="115" y="346" text-anchor="middle" dominant-baseline="central">Request handled</text>
</g>
<!-- Italic annotation: actual UX copy shown below the end node -->
<text class="ts" x="20" y="384" opacity=".45" font-style="italic">&quot;If that email exists, a reset</text>
<text class="ts" x="20" y="398" opacity=".45" font-style="italic">link has been sent.&quot;</text>
<!-- ── Center Yes branch: system generates & sends token ── -->
<!-- N3 · Generate unique token -->
<g class="c-purple">
<rect x="220" y="248" width="240" height="56" rx="8"/>
<text class="th" x="340" y="269" text-anchor="middle" dominant-baseline="central">Generate unique token</text>
<text class="ts" x="340" y="287" text-anchor="middle" dominant-baseline="central">Time-limited, cryptographic</text>
</g>
<line x1="340" y1="304" x2="340" y2="324" class="arr" marker-end="url(#arrow)"/>
<!-- N4 · Store token + user ID -->
<g class="c-purple">
<rect x="220" y="324" width="240" height="44" rx="8"/>
<text class="th" x="340" y="346" text-anchor="middle" dominant-baseline="central">Store token + user ID</text>
</g>
<line x1="340" y1="368" x2="340" y2="388" class="arr" marker-end="url(#arrow)"/>
<!-- N5 · Send reset email -->
<g class="c-teal">
<rect x="220" y="388" width="240" height="44" rx="8"/>
<text class="th" x="340" y="410" text-anchor="middle" dominant-baseline="central">Send reset link via email</text>
</g>
<!-- ═══ Section separator ═══ -->
<line x1="40" y1="452" x2="640" y2="452"
stroke="var(--border)" stroke-width="1" stroke-dasharray="8 5"/>
<!-- Arrow crossing separator (with inline label) -->
<line x1="340" y1="432" x2="340" y2="472" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="348" y="448" text-anchor="start" opacity=".55">user receives email</text>
<text class="ts" x="40" y="464" opacity=".45">Section 2 — Password reset form</text>
<!-- ═══ SECTION 2 — Password reset form ═══ -->
<!-- N6 · User clicks reset link -->
<g class="c-gray">
<rect x="220" y="480" width="240" height="44" rx="8"/>
<text class="th" x="340" y="502" text-anchor="middle" dominant-baseline="central">User clicks reset link</text>
</g>
<line x1="340" y1="524" x2="340" y2="544" class="arr" marker-end="url(#arrow)"/>
<!-- N7 · Enter new password ×2 -->
<g class="c-gray">
<rect x="220" y="544" width="240" height="56" rx="8"/>
<text class="th" x="340" y="565" text-anchor="middle" dominant-baseline="central">Enter new password ×2</text>
<text class="ts" x="340" y="583" text-anchor="middle" dominant-baseline="central">Confirm both passwords match</text>
</g>
<line x1="340" y1="600" x2="340" y2="620" class="arr" marker-end="url(#arrow)"/>
<!-- D2 · Token expired? diamond: center=(340,648) hw=100 hh=28 -->
<g class="decision">
<polygon points="340,620 440,648 340,676 240,648"/>
<text class="th" x="340" y="648" text-anchor="middle" dominant-baseline="central">Token expired?</text>
</g>
<!-- D2 "Yes" → right column (expired-token branch) -->
<path d="M 440,648 L 552,648 L 552,692" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="496" y="641" text-anchor="middle" opacity=".75">Yes</text>
<!-- D2 "No" → down to password-match check -->
<line x1="340" y1="676" x2="340" y2="714" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="348" y="698" text-anchor="start" opacity=".75">No</text>
<!-- ── Right branch (D2 = Yes): token expired → dead end ── -->
<!-- R1 · Token expired error -->
<g class="c-red">
<rect x="465" y="692" width="175" height="56" rx="8"/>
<text class="th" x="552" y="713" text-anchor="middle" dominant-baseline="central">Token expired</text>
<text class="ts" x="552" y="731" text-anchor="middle" dominant-baseline="central">Show expiry error</text>
</g>
<line x1="552" y1="748" x2="552" y2="768" class="arr" marker-end="url(#arrow)"/>
<!-- R2 · End terminal (right) -->
<g class="c-gray">
<rect x="465" y="768" width="175" height="44" rx="22"/>
<text class="th" x="552" y="790" text-anchor="middle" dominant-baseline="central">End — request again</text>
</g>
<!-- D3 · Passwords match? diamond: center=(340,742) hw=100 hh=28 -->
<g class="decision">
<polygon points="340,714 440,742 340,770 240,742"/>
<text class="th" x="340" y="742" text-anchor="middle" dominant-baseline="central">Passwords match?</text>
</g>
<!-- D3 "No" → left column (mismatch branch) -->
<path d="M 240,742 L 115,742 L 115,786" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="178" y="735" text-anchor="middle" opacity=".75">No</text>
<!-- D3 "Yes" → down to reset -->
<line x1="340" y1="770" x2="340" y2="790" class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="348" y="783" text-anchor="start" opacity=".75">Yes</text>
<!-- ── Left branch (D3 = No): passwords don't match → loop back ── -->
<!-- L3 · Password mismatch error -->
<g class="c-red">
<rect x="20" y="786" width="190" height="56" rx="8"/>
<text class="th" x="115" y="807" text-anchor="middle" dominant-baseline="central">Password mismatch</text>
<text class="ts" x="115" y="825" text-anchor="middle" dominant-baseline="central">Passwords do not match</text>
</g>
<!-- Loop-back arrow: exits L3 bottom → drops to y=862 →
travels right to corridor x=215 → climbs to N7 center y=572 →
enters N7 left edge at (220, 572) pointing right -->
<path d="M 115,842 L 115,862 L 215,862 L 215,572 L 220,572"
class="arr" marker-end="url(#arrow)"/>
<text class="ts" x="224" y="538" text-anchor="start" opacity=".6">retry</text>
<!-- ── Center Yes branch (D3 = Yes): reset password & invalidate token ── -->
<!-- N8 · Reset password -->
<g class="c-teal">
<rect x="220" y="790" width="240" height="56" rx="8"/>
<text class="th" x="340" y="811" text-anchor="middle" dominant-baseline="central">Reset password</text>
<text class="ts" x="340" y="829" text-anchor="middle" dominant-baseline="central">Invalidate used token</text>
</g>
<line x1="340" y1="846" x2="340" y2="866" class="arr" marker-end="url(#arrow)"/>
<!-- N9 · Success terminal -->
<g class="c-green">
<rect x="220" y="866" width="240" height="44" rx="22"/>
<text class="th" x="340" y="888" text-anchor="middle" dominant-baseline="central">Password reset complete</text>
</g>
<!-- ═══ Legend ═══ -->
<text class="ts" x="40" y="930" opacity=".4">Legend —</text>
<rect x="108" y="920" width="13" height="13" rx="2" fill="#F1EFE8" stroke="#5F5E5A" stroke-width="0.5"/>
<text class="ts" x="126" y="930" opacity=".7">User action</text>
<rect x="210" y="920" width="13" height="13" rx="2" fill="#EEEDFE" stroke="#534AB7" stroke-width="0.5"/>
<text class="ts" x="228" y="930" opacity=".7">System process</text>
<rect x="334" y="920" width="13" height="13" rx="2" fill="#E1F5EE" stroke="#0F6E56" stroke-width="0.5"/>
<text class="ts" x="352" y="930" opacity=".7">Email / success</text>
<rect x="455" y="920" width="13" height="13" rx="2" fill="#FCEBEB" stroke="#A32D2D" stroke-width="0.5"/>
<text class="ts" x="473" y="930" opacity=".7">Error state</text>
<polygon points="556,926 566,932 556,938 546,932" fill="#FAEEDA" stroke="#854F0B" stroke-width="0.5"/>
<text class="ts" x="572" y="932" opacity=".7">Decision</text>
</svg>
```
## Custom CSS
Add these classes to the hosting page `<style>` block (in addition to the standard skill CSS):
```css
/* Decision diamond — amber fill, same palette as c-amber */
.decision > polygon { fill: #FAEEDA; stroke: #854F0B; stroke-width: 0.5; }
.decision > .th { fill: #633806; }
@media (prefers-color-scheme: dark) {
.decision > polygon { fill: #633806; stroke: #EF9F27; }
.decision > .th { fill: #FAC775; }
}
```
## Color Assignments
| Element | Color | Reason |
|---------|-------|--------|
| Start / end terminals | `c-gray` | Neutral entry and exit points |
| User actions (enter email, click link, enter password) | `c-gray` | User-facing steps with no system processing |
| Generic message + request-handled terminal | `c-gray` | Intentionally neutral — the security message must not reveal data |
| Generate & store token | `c-purple` | Backend system operations |
| Send reset email | `c-teal` | Positive external action (outbound communication) |
| Token expired error | `c-red` | Failure / blocking error state |
| Password mismatch error | `c-red` | Validation failure |
| Reset password + success | `c-teal` / `c-green` | Positive outcome: teal for the action, green pill for the terminal |
| Decision diamonds | `c-amber` (custom `.decision`) | Warning / branch point — matches amber semantic meaning |
## Layout Notes
- **ViewBox**: 680×960 — tall flowchart with two phases
- **Three-column structure**: Left (cx=115), center (cx=340), right (cx=552) — each branch stays within its column; only `<path>` arrows cross column boundaries
- **Diamond formula**: `<polygon points="cx,cy-hh cx+hw,cy cx,cy+hh cx-hw,cy"/>` with hw=100, hh=28 gives a 200×56px diamond that sits flush with the center column (x=220460)
- **Branch routing pattern**: "No" paths use `<path d="M left_point,cy L side_cx,cy L side_cx,node_top">` — one horizontal segment + one vertical segment, no curves needed
- **Loop corridor**: The 5-px gap at x=210220 between left and center columns provides a clean vertical channel for the loop-back path without any node overlap; the path exits node bottom, drops 20px, goes right to x=215, climbs to target y, enters from left
- **Section separator**: A dashed `<line>` at y=452 with `stroke-dasharray="8 5"` provides a visual phase break; the single connecting arrow crosses it at center, with a faded label on the arrow
- **Pill terminals**: `rx=22` (half the 44px node height) produces a perfect capsule/pill shape — use this consistently for all start/end terminals
- **Error annotation**: The exact UX copy is rendered as faded (`opacity=".45"`) italic `ts` text below the relevant node, keeping it informative without cluttering the flow
@@ -0,0 +1,240 @@
# Autonomous LLM Research Agent Flow
A multi-section flowchart showing Karpathy's autoresearch framework: human-agent handoff, the autonomous experiment loop with keep/discard decision branching, and the modifiable training pipeline. Demonstrates loop-back arrows, convergent decision paths, and semantic color coding for outcomes.
## Key Patterns Used
- **Three-section layout**: Setup row, main loop container, and detail container — each visually distinct
- **Neutral dashed containers**: Loop and training pipeline use `var(--bg-secondary)` fill with dashed borders to recede behind colored content nodes
- **Decision branching with convergence**: "val_bpb improved?" splits into Keep (green) and Discard (red), then both converge back to "Log to results.tsv"
- **Loop-back arrow**: Dashed path with rounded corners on the right side of the container showing infinite repetition
- **Semantic color for outcomes**: Green = improvement (keep), Red = no improvement (discard) — not arbitrary decoration
- **Highlighted key step**: "Run training" uses `c-coral` to visually distinguish the most important step from other `c-teal` actions
- **Horizontal pipeline flow**: Training details section uses left-to-right arrow-connected nodes (GPT → MuonAdamW → Evaluation)
- **Footer metadata**: Fixed constraints shown as subtle centered text below the pipeline nodes
- **Legend row**: Color key at the bottom explaining what each color means
## Diagram
```xml
<svg width="100%" viewBox="0 0 680 920" xmlns="http://www.w3.org/2000/svg">
<defs>
<marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
</defs>
<!-- ========================================== -->
<!-- SECTION 1: SETUP (Human → program.md → AI) -->
<!-- ========================================== -->
<text class="ts" x="40" y="30" text-anchor="start" opacity=".5">One-time setup</text>
<!-- Human -->
<g class="node c-gray">
<rect x="60" y="42" width="140" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="130" y="62" text-anchor="middle" dominant-baseline="central">Human</text>
<text class="ts" x="130" y="82" text-anchor="middle" dominant-baseline="central">Researcher</text>
</g>
<!-- Arrow: Human → program.md -->
<line x1="200" y1="70" x2="250" y2="70" class="arr" marker-end="url(#arrow)"/>
<!-- program.md -->
<g class="node c-gray">
<rect x="250" y="42" width="180" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="340" y="62" text-anchor="middle" dominant-baseline="central">program.md</text>
<text class="ts" x="340" y="82" text-anchor="middle" dominant-baseline="central">Agent instructions</text>
</g>
<!-- Arrow: program.md → AI Agent -->
<line x1="430" y1="70" x2="470" y2="70" class="arr" marker-end="url(#arrow)"/>
<!-- AI Agent -->
<g class="node c-purple">
<rect x="470" y="42" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="550" y="62" text-anchor="middle" dominant-baseline="central">AI agent</text>
<text class="ts" x="550" y="82" text-anchor="middle" dominant-baseline="central">Claude / Codex</text>
</g>
<!-- Arrow: Setup row → Loop (from program.md center down) -->
<line x1="340" y1="98" x2="340" y2="142" class="arr" marker-end="url(#arrow)"/>
<!-- ========================================== -->
<!-- SECTION 2: AUTONOMOUS EXPERIMENT LOOP -->
<!-- ========================================== -->
<!-- Loop container (neutral dashed) -->
<g>
<rect x="40" y="142" width="600" height="528" rx="16"
stroke-width="1" stroke-dasharray="6 4"
fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="170">Autonomous experiment loop</text>
<text class="ts" x="66" y="188">~12 experiments/hour — runs until manually stopped</text>
</g>
<!-- Step 1: Read code + past results -->
<g class="node c-teal">
<rect x="170" y="208" width="280" height="44" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="230" text-anchor="middle" dominant-baseline="central">Read code + past results</text>
</g>
<!-- Arrow: S1 → S2 -->
<line x1="310" y1="252" x2="310" y2="274" class="arr" marker-end="url(#arrow)"/>
<!-- Step 2: Propose + edit train.py -->
<g class="node c-teal">
<rect x="170" y="274" width="280" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="294" text-anchor="middle" dominant-baseline="central">Propose + edit train.py</text>
<text class="ts" x="310" y="314" text-anchor="middle" dominant-baseline="central">Arch, optimizer, hyperparameters</text>
</g>
<!-- Arrow: S2 → S3 -->
<line x1="310" y1="330" x2="310" y2="352" class="arr" marker-end="url(#arrow)"/>
<!-- Step 3: Run training (highlighted — key step) -->
<g class="node c-coral">
<rect x="170" y="352" width="280" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="372" text-anchor="middle" dominant-baseline="central">Run training</text>
<text class="ts" x="310" y="392" text-anchor="middle" dominant-baseline="central">uv run train.py (5 min budget)</text>
</g>
<!-- Arrow: S3 → S4 -->
<line x1="310" y1="408" x2="310" y2="430" class="arr" marker-end="url(#arrow)"/>
<!-- Step 4: Decision — val_bpb improved? -->
<g class="node c-gray">
<rect x="170" y="430" width="280" height="44" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="452" text-anchor="middle" dominant-baseline="central">val_bpb improved?</text>
</g>
<!-- Decision arrows to Keep / Discard -->
<line x1="240" y1="474" x2="175" y2="508" class="arr" marker-end="url(#arrow)"/>
<line x1="380" y1="474" x2="445" y2="508" class="arr" marker-end="url(#arrow)"/>
<!-- Decision labels -->
<text class="ts" x="195" y="496" opacity=".6">yes</text>
<text class="ts" x="416" y="496" opacity=".6">no</text>
<!-- Keep — advance branch -->
<g class="node c-green">
<rect x="70" y="508" width="210" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="175" y="528" text-anchor="middle" dominant-baseline="central">Keep</text>
<text class="ts" x="175" y="548" text-anchor="middle" dominant-baseline="central">Advance git branch</text>
</g>
<!-- Discard — git reset -->
<g class="node c-red">
<rect x="340" y="508" width="210" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="445" y="528" text-anchor="middle" dominant-baseline="central">Discard</text>
<text class="ts" x="445" y="548" text-anchor="middle" dominant-baseline="central">Git reset to previous</text>
</g>
<!-- Converge arrows: Keep → Log, Discard → Log -->
<line x1="175" y1="564" x2="250" y2="590" class="arr" marker-end="url(#arrow)"/>
<line x1="445" y1="564" x2="370" y2="590" class="arr" marker-end="url(#arrow)"/>
<!-- Step 6: Log to results.tsv -->
<g class="node c-teal">
<rect x="170" y="590" width="280" height="44" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="612" text-anchor="middle" dominant-baseline="central">Log to results.tsv</text>
</g>
<!-- Loop-back arrow (dashed, right side) -->
<path d="M 450 612 L 564 612 Q 576 612 576 600 L 576 242 Q 576 230 564 230 L 450 230"
fill="none" class="arr" stroke-dasharray="4 3" marker-end="url(#arrow)"/>
<!-- ========================================== -->
<!-- SECTION 3: TRAINING PIPELINE DETAILS -->
<!-- ========================================== -->
<!-- Connection arrow: Loop → Training details -->
<line x1="310" y1="670" x2="310" y2="710" class="arr" marker-end="url(#arrow)"/>
<!-- Training container (neutral dashed) -->
<g>
<rect x="40" y="710" width="600" height="170" rx="16"
stroke-width="1" stroke-dasharray="6 4"
fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="738">train.py — modifiable training pipeline</text>
<text class="ts" x="66" y="756">Runs during each training step — single GPU, single file</text>
</g>
<!-- GPT model -->
<g class="node c-coral">
<rect x="70" y="774" width="155" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="147" y="794" text-anchor="middle" dominant-baseline="central">GPT model</text>
<text class="ts" x="147" y="814" text-anchor="middle" dominant-baseline="central">RoPE, FlashAttn3</text>
</g>
<!-- Arrow: GPT → MuonAdamW -->
<line x1="225" y1="802" x2="260" y2="802" class="arr" marker-end="url(#arrow)"/>
<!-- MuonAdamW optimizer -->
<g class="node c-coral">
<rect x="260" y="774" width="155" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="337" y="794" text-anchor="middle" dominant-baseline="central">MuonAdamW</text>
<text class="ts" x="337" y="814" text-anchor="middle" dominant-baseline="central">Hybrid optimizer</text>
</g>
<!-- Arrow: MuonAdamW → Evaluation -->
<line x1="415" y1="802" x2="450" y2="802" class="arr" marker-end="url(#arrow)"/>
<!-- Evaluation -->
<g class="node c-amber">
<rect x="450" y="774" width="155" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="527" y="794" text-anchor="middle" dominant-baseline="central">Evaluation</text>
<text class="ts" x="527" y="814" text-anchor="middle" dominant-baseline="central">val_bpb metric</text>
</g>
<!-- Footer: fixed constraints -->
<text class="ts" x="340" y="856" text-anchor="middle" opacity=".5">climbmix-400b data · 8K BPE vocab · 300s budget · 2048 context</text>
<!-- ========================================== -->
<!-- LEGEND -->
<!-- ========================================== -->
<g class="c-teal"><rect x="40" y="890" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="62" y="902">Agent actions</text>
<g class="c-coral"><rect x="170" y="890" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="192" y="902">Training run</text>
<g class="c-green"><rect x="300" y="890" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="322" y="902">Improvement</text>
<g class="c-red"><rect x="430" y="890" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="452" y="902">No improvement</text>
</svg>
```
## Color Assignments
| Element | Color | Reason |
|---------|-------|--------|
| Human, program.md | `c-gray` | Neutral setup / input nodes |
| AI agent | `c-purple` | The active intelligent actor |
| Loop action steps | `c-teal` | Agent's analytical/editing actions |
| Run training | `c-coral` | Highlighted key step — the 5-min training run |
| Decision check | `c-gray` | Neutral evaluation checkpoint |
| Keep (improved) | `c-green` | Semantic success — val_bpb decreased |
| Discard (not improved) | `c-red` | Semantic failure — no improvement |
| Training pipeline nodes | `c-coral` | Training infrastructure components |
| Evaluation node | `c-amber` | Distinct from training — measurement/metric role |
| Containers | Neutral (dashed) | Subtle grouping that recedes behind content |
## Layout Notes
- **ViewBox**: 680×920 (standard width, tall for 3 sections)
- **Three sections**: Setup row (y=3098), loop container (y=142670), training details (y=710880)
- **Container style**: Dashed border (`stroke-dasharray="6 4"`), neutral fill (`var(--bg-secondary)`), `stroke-width="1"` — not colored, so inner nodes pop
- **Loop-back arrow**: Dashed `<path>` with quadratic curves (`Q`) at corners for smooth rounded turns, running up the right side of the loop container from "Log" back to "Read code"
- **Decision pattern**: Single question node ("val_bpb improved?") with diagonal arrows to Keep/Discard, then convergent diagonal arrows back to "Log to results.tsv"
- **Decision labels**: "yes"/"no" labels placed along the diagonal arrows with `opacity=".6"` to stay subtle
- **Key step highlight**: "Run training" uses `c-coral` while surrounding steps use `c-teal`, drawing the eye to the most important step
- **Horizontal sub-flow**: Training pipeline uses left-to-right arrow-connected nodes (GPT model → MuonAdamW → Evaluation)
- **Footer metadata**: Fixed constraints (data, vocab, budget, context) shown as a single centered `ts` text line with `opacity=".5"`
- **Legend**: Four color swatches at the bottom explaining the semantic meaning of each color used
@@ -0,0 +1,161 @@
# Journey of a Banana: From Tree to Smoothie
A narrative journey diagram following a single banana across 3,000 miles and 3 weeks, from harvest in Costa Rica to a smoothie in the consumer's kitchen. Demonstrates storytelling through visualization, winding path layout, and progressive state changes.
## Key Patterns Used
- **Winding journey path**: S-curve connecting all stages visually
- **Location markers**: Country flags and place names for geographic context
- **Progressive state changes**: Banana color changes (green → yellow → brown → frozen → smoothie)
- **Narrative details**: Fun elements like spider check, stickers, price tags
- **Timeline**: Bottom timeline showing duration of journey
- **Environmental context**: Ocean waves, gas clouds, store awning
## New Shape Techniques
### Banana (curved fruit shape)
```xml
<!-- Green banana -->
<path class="banana-green" d="M 5 0 Q 0 10 3 20 Q 6 25 10 20 Q 13 10 8 0 Z"/>
<!-- Yellow banana -->
<path class="banana-yellow" d="M 0 5 Q -6 18 0 32 Q 7 40 15 30 Q 20 15 12 5 Z"/>
<!-- Brown overripe banana with spots -->
<path class="banana-brown" d="M 0 5 Q -5 15 0 28 Q 6 35 14 26 Q 18 14 12 5 Z"/>
<circle class="banana-spots" cx="5" cy="15" r="1.5"/>
<circle class="banana-spots" cx="9" cy="20" r="1"/>
```
### Banana Tree
```xml
<!-- Trunk -->
<rect class="tree-trunk" x="55" y="50" width="15" height="60" rx="3"/>
<!-- Leaves (rotated ellipses) -->
<ellipse class="tree-leaf" cx="62" cy="45" rx="40" ry="15" transform="rotate(-20, 62, 45)"/>
<ellipse class="tree-leaf" cx="62" cy="50" rx="35" ry="12" transform="rotate(25, 62, 50)"/>
<!-- Banana bunch hanging -->
<g transform="translate(40, 55)">
<path class="banana-green" d="M 5 0 Q 0 10 3 20 Q 6 25 10 20 Q 13 10 8 0 Z"/>
<path class="banana-green" d="M 12 2 Q 8 12 11 22 Q 14 27 18 22 Q 21 12 16 2 Z"/>
<rect class="stem" x="8" y="-5" width="12" height="8" rx="2"/>
</g>
```
### Cargo Ship
```xml
<!-- Ocean waves -->
<path class="ocean" d="M 0 90 Q 30 85 60 90 Q 90 95 120 90 Q 150 85 180 90 L 180 110 L 0 110 Z" opacity="0.5"/>
<!-- Hull -->
<path class="ship-hull" d="M 20 90 L 30 60 L 160 60 L 170 90 Q 150 95 95 95 Q 40 95 20 90 Z"/>
<!-- Deck -->
<rect class="ship-deck" x="40" y="45" width="110" height="18" rx="2"/>
<!-- Reefer containers -->
<rect class="container" x="45" y="25" width="30" height="22" rx="2"/>
<!-- Refrigeration symbol -->
<text x="60" y="40" text-anchor="middle" fill="#185FA5" style="font-size:10px">❄</text>
<!-- Smoke stack -->
<rect x="145" y="35" width="8" height="15" fill="#444441"/>
```
### Inspector Figure
```xml
<!-- Body -->
<rect class="inspector" x="10" y="20" width="25" height="35" rx="3"/>
<!-- Head -->
<circle class="inspector" cx="22" cy="12" r="10"/>
<!-- Hat -->
<rect x="12" y="2" width="20" height="6" rx="2" fill="#534AB7"/>
<!-- Clipboard -->
<rect class="clipboard" x="38" y="28" width="15" height="20" rx="2"/>
<line x1="42" y1="34" x2="50" y2="34" stroke="#888780" stroke-width="1"/>
```
### Spider with "No" Symbol
```xml
<circle cx="15" cy="15" r="18" fill="none" stroke="#A32D2D" stroke-width="2"/>
<line x1="3" y1="3" x2="27" y2="27" stroke="#A32D2D" stroke-width="2"/>
<!-- Spider body -->
<ellipse class="spider" cx="15" cy="15" rx="4" ry="5"/>
<ellipse class="spider" cx="15" cy="10" rx="3" ry="3"/>
<!-- Legs -->
<line x1="12" y1="14" x2="5" y2="10" stroke="#2C2C2A" stroke-width="1"/>
<line x1="18" y1="14" x2="25" y2="10" stroke="#2C2C2A" stroke-width="1"/>
```
### Blender with Smoothie
```xml
<!-- Blender jar -->
<path class="blender" d="M 5 5 L 0 45 L 35 45 L 30 5 Z"/>
<!-- Smoothie inside (wavy top) -->
<path class="smoothie" d="M 3 20 L 0 45 L 35 45 L 32 20 Q 25 18 17 22 Q 10 18 3 20 Z"/>
<!-- Blender base -->
<rect class="blender" x="-2" y="45" width="40" height="12" rx="3"/>
<!-- Lid -->
<rect x="8" y="0" width="20" height="8" rx="2" fill="#AFA9EC" stroke="#534AB7"/>
<!-- Banana chunks floating -->
<ellipse cx="12" cy="32" rx="4" ry="2" fill="#FAC775"/>
```
### Winding Journey Path
```xml
<path class="journey-path" d="
M 80 100
L 200 100
Q 280 100 280 150
L 280 180
Q 280 220 320 220
L 520 220
Q 560 220 560 260
L 560 320
Q 560 360 520 360
L 280 360
...
"/>
```
## CSS Classes
```css
/* Journey */
.journey-path { stroke: #D3D1C7; stroke-width: 3; fill: none; stroke-linecap: round; }
/* Banana ripeness stages */
.banana-green { fill: #97C459; stroke: #3B6D11; stroke-width: 0.5; }
.banana-yellow { fill: #FAC775; stroke: #BA7517; stroke-width: 0.5; }
.banana-brown { fill: #854F0B; stroke: #633806; stroke-width: 0.5; }
.banana-spots { fill: #633806; }
/* Environment elements */
.tree-trunk { fill: #854F0B; stroke: #633806; stroke-width: 1; }
.tree-leaf { fill: #97C459; stroke: #3B6D11; stroke-width: 0.5; }
.ocean { fill: #85B7EB; }
.ship-hull { fill: #5F5E5A; stroke: #444441; stroke-width: 1; }
.container { fill: #E6F1FB; stroke: #185FA5; stroke-width: 1; }
.gas-cloud { fill: #C0DD97; stroke: #97C459; stroke-width: 0.5; opacity: 0.6; }
/* Buildings */
.packhouse { fill: #F1EFE8; stroke: #5F5E5A; stroke-width: 1; }
.warehouse { fill: #FAEEDA; stroke: #854F0B; stroke-width: 1; }
.store { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 1; }
/* Kitchen */
.counter { fill: #FAECE7; stroke: #993C1D; stroke-width: 1; }
.blender { fill: #EEEDFE; stroke: #534AB7; stroke-width: 1; }
.smoothie { fill: #FAC775; }
.freezer { fill: #E6F1FB; stroke: #185FA5; stroke-width: 1; }
/* Details */
.sticker { fill: #378ADD; stroke: #185FA5; stroke-width: 0.3; }
.spider { fill: #2C2C2A; stroke: #1a1a18; stroke-width: 0.3; }
```
## Layout Notes
- **ViewBox**: 850×680 (tall for winding path)
- **Path style**: S-curve winding path connects all 7 stages
- **Location labels**: Country flags + place names anchor geographic context
- **State progression**: Same object (banana) shown in different states throughout
- **Timeline**: Horizontal timeline at bottom shows journey duration
- **Narrative elements**: Fun details (spider, stickers, price tags) add storytelling value
- **Environmental context**: Ocean waves, gas clouds, awnings create sense of place
@@ -0,0 +1,209 @@
# Commercial Aircraft Structure
A physical/structural diagram showing an aircraft side profile using appropriate SVG shapes beyond rectangles - paths, polygons, ellipses for realistic representation.
## Key Patterns Used
- **Path elements**: Curved fuselage body with nose cone using quadratic bezier curves
- **Polygon elements**: Tapered wing shape, triangular stabilizers, control surfaces
- **Ellipse elements**: Engines (cylinders), wheels (circles)
- **Line elements**: Landing gear struts, leader lines for labels
- **Dashed strokes**: Interior sections (fuel tank), movable control surfaces (rudder, elevator)
- **Layered composition**: Cabin sections drawn inside the fuselage shape
- **Leader lines with labels**: Connect labels to components they describe
## Diagram
```xml
<svg width="100%" viewBox="0 0 680 400" xmlns="http://www.w3.org/2000/svg">
<!-- FUSELAGE - main body cylinder with nose cone -->
<path class="fuselage" d="
M 80 180
Q 40 180 40 200
Q 40 220 80 220
L 560 220
Q 580 220 580 200
Q 580 180 560 180
Z
"/>
<!-- Nose cone -->
<path class="fuselage" d="
M 80 180
Q 50 180 35 200
Q 50 220 80 220
" fill="none" stroke-width="1"/>
<!-- COCKPIT windows -->
<path class="cockpit" d="
M 45 190
L 75 185
L 75 200
L 50 200
Z
"/>
<line x1="55" y1="188" x2="55" y2="200" stroke="#534AB7" stroke-width="0.5"/>
<line x1="65" y1="186" x2="65" y2="200" stroke="#534AB7" stroke-width="0.5"/>
<!-- CABIN SECTIONS (inside fuselage) -->
<!-- First class -->
<rect class="first-class" x="85" y="183" width="50" height="34" rx="2"/>
<text class="tl" x="110" y="203" text-anchor="middle">First</text>
<!-- Business class -->
<rect class="business-class" x="140" y="183" width="80" height="34" rx="2"/>
<text class="tl" x="180" y="203" text-anchor="middle">Business</text>
<!-- Economy class -->
<rect class="economy-class" x="225" y="183" width="200" height="34" rx="2"/>
<text class="tl" x="325" y="203" text-anchor="middle">Economy</text>
<!-- CARGO HOLD (lower section indication) -->
<line x1="85" y1="217" x2="520" y2="217" class="leader"/>
<text class="tl" x="300" y="228" text-anchor="middle" opacity=".6">Cargo hold below deck</text>
<!-- WING - main wing shape -->
<polygon class="wing" points="
200,220
120,300
130,305
160,305
340,235
340,220
"/>
<!-- Wing fuel tank (dashed interior) -->
<polygon class="fuel-tank" points="
210,225
150,280
160,283
180,283
310,232
310,225
"/>
<text class="tl" x="220" y="260" opacity=".7">Fuel</text>
<!-- Flaps (trailing edge) -->
<polygon class="flap" points="
130,300
120,305
160,310
165,305
"/>
<text class="tl" x="143" y="320">Flaps</text>
<!-- ENGINE under wing -->
<ellipse class="engine" cx="175" cy="285" rx="25" ry="12"/>
<ellipse cx="155" cy="285" rx="8" ry="10" fill="none" stroke="#993C1D" stroke-width="0.5"/>
<!-- Engine pylon -->
<line x1="175" y1="273" x2="190" y2="245" stroke="#5F5E5A" stroke-width="2"/>
<text class="tl" x="175" y="308" text-anchor="middle">Engine</text>
<!-- TAIL SECTION -->
<!-- Vertical stabilizer -->
<polygon class="tail-v" points="
520,180
560,100
580,100
580,180
"/>
<text class="tl" x="565" y="150" text-anchor="middle">Vertical</text>
<text class="tl" x="565" y="162" text-anchor="middle">stabilizer</text>
<!-- Rudder -->
<polygon points="575,105 590,105 590,178 580,178" fill="none" stroke="#185FA5" stroke-width="0.5" stroke-dasharray="3 2"/>
<text class="tl" x="595" y="145" opacity=".6">Rudder</text>
<!-- Horizontal stabilizer -->
<polygon class="tail-h" points="
500,195
460,175
465,170
580,170
580,180
520,195
"/>
<text class="tl" x="510" y="166">Horizontal stabilizer</text>
<!-- Elevator -->
<polygon points="462,174 450,168 455,163 467,169" fill="none" stroke="#185FA5" stroke-width="0.5" stroke-dasharray="3 2"/>
<text class="tl" x="440" y="158" opacity=".6">Elevator</text>
<!-- LANDING GEAR -->
<!-- Nose gear -->
<line class="gear" x1="100" y1="220" x2="100" y2="260" stroke-width="3"/>
<ellipse class="wheel" cx="100" cy="268" rx="8" ry="10"/>
<text class="tl" x="100" y="290" text-anchor="middle">Nose gear</text>
<!-- Main gear (under wing/fuselage junction) -->
<line class="gear" x1="280" y1="220" x2="280" y2="270" stroke-width="4"/>
<line class="gear" x1="268" y1="265" x2="292" y2="265" stroke-width="3"/>
<ellipse class="wheel" cx="268" cy="278" rx="10" ry="12"/>
<ellipse class="wheel" cx="292" cy="278" rx="10" ry="12"/>
<text class="tl" x="280" y="302" text-anchor="middle">Main gear</text>
<!-- LABELS with leader lines -->
<!-- Cockpit label -->
<line class="leader" x1="60" y1="175" x2="60" y2="140"/>
<text class="ts" x="60" y="132" text-anchor="middle">Cockpit</text>
<!-- Wing label -->
<line class="leader" x1="250" y1="250" x2="290" y2="330"/>
<text class="ts" x="290" y="345" text-anchor="middle">Wing structure</text>
<text class="tl" x="290" y="358" text-anchor="middle">Spars, ribs, skin</text>
<!-- Fuselage label -->
<line class="leader" x1="400" y1="180" x2="400" y2="140"/>
<text class="ts" x="400" y="132" text-anchor="middle">Fuselage</text>
<text class="tl" x="400" y="145" text-anchor="middle">Pressure vessel</text>
</svg>
```
## CSS Classes for Physical Diagrams
When creating physical/structural diagrams, define semantic classes for each component type:
```css
/* Structure shapes */
.fuselage { fill: #F1EFE8; stroke: #5F5E5A; stroke-width: 1; }
.wing { fill: #E6F1FB; stroke: #185FA5; stroke-width: 1; }
.tail-v { fill: #E6F1FB; stroke: #185FA5; stroke-width: 1; }
.tail-h { fill: #E6F1FB; stroke: #185FA5; stroke-width: 1; }
/* Interior sections */
.cockpit { fill: #EEEDFE; stroke: #534AB7; stroke-width: 1; }
.first-class { fill: #FBEAF0; stroke: #993556; stroke-width: 0.5; }
.business-class { fill: #FAECE7; stroke: #993C1D; stroke-width: 0.5; }
.economy-class { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 0.5; }
.cargo { fill: #D3D1C7; stroke: #5F5E5A; stroke-width: 0.5; }
/* Systems */
.engine { fill: #FAECE7; stroke: #993C1D; stroke-width: 1; }
.fuel-tank { fill: #FAEEDA; stroke: #854F0B; stroke-width: 0.5; stroke-dasharray: 3 2; }
.flap { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 0.5; }
/* Mechanical */
.gear { fill: #444441; stroke: #2C2C2A; stroke-width: 0.5; }
.wheel { fill: #2C2C2A; stroke: #1a1a18; stroke-width: 0.5; }
```
## Shape Selection Guide
| Physical form | SVG element | Example |
|---------------|-------------|---------|
| Curved body | `<path>` with Q (quadratic) or C (cubic) curves | Fuselage, nose cone |
| Tapered/angular | `<polygon>` | Wings, stabilizers |
| Cylindrical | `<ellipse>` | Engines, wheels, tanks |
| Linear structure | `<line>` | Struts, pylons, gear legs |
| Internal sections | `<rect>` inside parent shape | Cabin classes |
| Dashed boundaries | `stroke-dasharray` on any shape | Fuel tanks, control surfaces |
## Layout Notes
- **ViewBox**: 680×400 (wider aspect ratio suits side profile)
- **Layering**: Draw outer structures first, then interior details on top
- **Leader lines**: Use `.leader` class (dashed) to connect labels to components
- **Text sizes**: Use `.tl` (10px) for component labels, `.ts` (12px) for section labels
- **Semantic colors**: Group by system (structure=blue, propulsion=coral, fuel=amber, etc.)
@@ -0,0 +1,236 @@
# Out-of-Order CPU Core Microarchitecture
A structural diagram showing the internal pipeline stages of a modern superscalar out-of-order CPU core. Demonstrates multi-stage vertical flow with parallel paths, fan-out patterns for execution ports, and a separate memory hierarchy sidebar.
## Key Patterns Used
- **Multi-stage vertical flow**: Six pipeline stages (Front End → Rename → Schedule → Execute → Retire)
- **Parallel decode paths**: Main decode and µop cache bypass (dashed line for cache hit)
- **Container grouping**: Logical stages grouped in colored containers
- **Fan-out pattern**: Single scheduler dispatching to 6 execution ports
- **Sidebar layout**: Memory hierarchy placed in separate column on right
- **Stage labels**: Left-aligned labels indicating pipeline phase
- **Color-coded semantics**: Different colors for each functional unit category
## Diagram Type
This is a **hybrid structural/flow** diagram:
- **Flow aspect**: Instructions move top-to-bottom through pipeline stages
- **Structural aspect**: Components are grouped by function (rename unit, execution cluster)
- **Sidebar**: Memory hierarchy is architecturally separate but connected via data paths
## Pipeline Stage Breakdown
### Front End (Purple)
```xml
<!-- Fetch Unit -->
<g class="node c-purple">
<rect x="40" y="70" width="140" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="110" y="90" text-anchor="middle" dominant-baseline="central">Fetch unit</text>
<text class="ts" x="110" y="110" text-anchor="middle" dominant-baseline="central">6-wide, 32B/cycle</text>
</g>
<!-- Branch Predictor (subordinate) -->
<g class="node c-purple">
<rect x="40" y="140" width="140" height="44" rx="8" stroke-width="0.5"/>
<text class="th" x="110" y="162" text-anchor="middle" dominant-baseline="central">Branch predictor</text>
</g>
<!-- Decode -->
<g class="node c-purple">
<rect x="230" y="70" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="90" text-anchor="middle" dominant-baseline="central">Decode</text>
<text class="ts" x="310" y="110" text-anchor="middle" dominant-baseline="central">x86 → µops, 6-wide</text>
</g>
```
### µop Cache Bypass Path (Teal)
The µop cache (Decoded Stream Buffer) provides an alternate path that bypasses the complex decoder:
```xml
<!-- µop Cache parallel to decode -->
<g class="node c-teal">
<rect x="230" y="150" width="160" height="50" rx="8" stroke-width="0.5"/>
<text class="th" x="310" y="168" text-anchor="middle" dominant-baseline="central">µop cache (DSB)</text>
<text class="ts" x="310" y="186" text-anchor="middle" dominant-baseline="central">4K entries, 8-wide</text>
</g>
<!-- Dashed bypass path indicating cache hit -->
<path d="M180 110 L205 110 L205 175 L230 175" fill="none" class="arr"
stroke-dasharray="4 3" marker-end="url(#arrow)"/>
<text class="tx" x="164" y="148" opacity=".6">hit</text>
```
### Rename/Allocate Container (Coral)
Groups related rename components in a container:
```xml
<!-- Outer container -->
<g class="c-coral">
<rect x="40" y="250" width="530" height="130" rx="12" stroke-width="0.5"/>
<text class="th" x="60" y="274">Rename / allocate</text>
<text class="ts" x="60" y="292">Map architectural → physical registers</text>
</g>
<!-- Inner components -->
<g class="node c-coral">
<rect x="60" y="310" width="180" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="150" y="330" text-anchor="middle" dominant-baseline="central">Register alias table</text>
<text class="ts" x="150" y="350" text-anchor="middle" dominant-baseline="central">180 physical regs</text>
</g>
```
### Scheduler Fan-Out Pattern (Amber → Teal)
Single unified scheduler dispatching to multiple execution ports:
```xml
<!-- Unified Scheduler -->
<g class="node c-amber">
<rect x="140" y="420" width="330" height="50" rx="8" stroke-width="0.5"/>
<text class="th" x="305" y="438" text-anchor="middle" dominant-baseline="central">Unified scheduler</text>
<text class="ts" x="305" y="456" text-anchor="middle" dominant-baseline="central">97 entries, out-of-order dispatch</text>
</g>
<!-- Fan-out arrows to 6 ports -->
<line x1="170" y1="470" x2="90" y2="540" class="arr" marker-end="url(#arrow)"/>
<line x1="215" y1="470" x2="170" y2="540" class="arr" marker-end="url(#arrow)"/>
<line x1="265" y1="470" x2="250" y2="540" class="arr" marker-end="url(#arrow)"/>
<line x1="305" y1="470" x2="330" y2="540" class="arr" marker-end="url(#arrow)"/>
<line x1="355" y1="470" x2="410" y2="540" class="arr" marker-end="url(#arrow)"/>
<line x1="420" y1="470" x2="490" y2="540" class="arr" marker-end="url(#arrow)"/>
```
### Execution Port Box Pattern
Compact boxes showing port number and capabilities:
```xml
<!-- Execution port with multi-line capability -->
<g class="node c-teal">
<rect x="55" y="540" width="70" height="64" rx="6" stroke-width="0.5"/>
<text class="th" x="90" y="560" text-anchor="middle" dominant-baseline="central">Port 0</text>
<text class="tx" x="90" y="576" text-anchor="middle" dominant-baseline="central">ALU</text>
<text class="tx" x="90" y="590" text-anchor="middle" dominant-baseline="central">DIV</text>
</g>
```
### Reorder Buffer (Pink)
Wide horizontal bar at bottom showing retirement:
```xml
<g class="c-pink">
<rect x="40" y="670" width="530" height="40" rx="10" stroke-width="0.5"/>
<text class="th" x="305" y="694" text-anchor="middle" dominant-baseline="central">Reorder buffer (ROB) — 512 entries, 8-wide retire</text>
</g>
```
### Memory Hierarchy Sidebar (Blue)
Separate column showing cache levels:
```xml
<!-- Container -->
<g class="c-blue">
<rect x="600" y="30" width="190" height="360" rx="16" stroke-width="0.5"/>
<text class="th" x="695" y="54" text-anchor="middle">Memory hierarchy</text>
</g>
<!-- Cache levels stacked vertically -->
<g class="node c-blue">
<rect x="620" y="70" width="150" height="50" rx="8" stroke-width="0.5"/>
<text class="th" x="695" y="88" text-anchor="middle" dominant-baseline="central">L1-I cache</text>
<text class="ts" x="695" y="106" text-anchor="middle" dominant-baseline="central">32 KB, 8-way</text>
</g>
<!-- Additional levels follow same pattern -->
```
## Connection Patterns
### Instruction Fetch Path
Horizontal arrow from L1-I cache to fetch unit:
```xml
<path d="M620 95 L200 95" fill="none" class="arr" marker-end="url(#arrow)"/>
<text class="tx" x="410" y="88" text-anchor="middle" opacity=".6">instruction fetch</text>
```
### Load/Store Path
Complex path from execution ports to L1-D cache:
```xml
<path d="M250 604 L250 640 L580 640 L580 160 L620 160" fill="none" class="arr" marker-end="url(#arrow)"/>
<text class="tx" x="415" y="652" text-anchor="middle" opacity=".6">load / store</text>
```
### Commit Path (dashed)
Dashed line showing write-back from ROB to register file:
```xml
<path d="M550 690 L580 690 L580 445 L595 445" fill="none" class="arr" stroke-dasharray="4 3"/>
<text class="tx" x="590" y="578" opacity=".6" transform="rotate(-90 590 578)">commit</text>
```
### Path Merge (Decode + µop Cache)
Two paths converging before rename:
```xml
<line x1="390" y1="98" x2="430" y2="98" class="arr"/>
<line x1="390" y1="175" x2="430" y2="175" class="arr"/>
<path d="M430 98 L430 175" fill="none" stroke="var(--text-secondary)" stroke-width="1.5"/>
<line x1="430" y1="136" x2="470" y2="136" class="arr" marker-end="url(#arrow)"/>
```
## Text Classes
This diagram uses an additional text class for very small labels:
```css
.tx { font-family: system-ui, -apple-system, sans-serif; font-size: 10px; fill: var(--text-secondary); }
```
Used for:
- Execution port capability labels (ALU, Branch, Load, etc.)
- Connection labels (instruction fetch, load/store, commit)
- DRAM latency annotation
## Color Semantic Mapping
| Color | Stage | Components |
|-------|-------|------------|
| `c-purple` | Front end | Fetch, Branch predictor, Decode |
| `c-teal` | Execution | µop cache, Execution ports |
| `c-coral` | Rename | RAT, Physical RF, Free list |
| `c-amber` | Schedule | Unified scheduler |
| `c-pink` | Retire | Reorder buffer |
| `c-blue` | Memory | L1-I, L1-D, L2, DRAM |
| `c-gray` | External | Off-chip DRAM |
## Layout Notes
- **ViewBox**: 820×720 (taller than wide for vertical pipeline flow)
- **Main pipeline**: x=40 to x=570 (530px width)
- **Memory sidebar**: x=600 to x=790 (190px width)
- **Stage labels**: x=30, left-aligned, 50% opacity
- **Vertical spacing**: ~80-100px between major stages
- **Container padding**: 20px inside containers
- **Port spacing**: 80px between execution port centers
- **Legend**: Bottom-right of memory sidebar, explains color coding
## Architectural Details Shown
| Component | Specification | Notes |
|-----------|---------------|-------|
| Fetch | 6-wide, 32B/cycle | Typical modern Intel/AMD |
| Decode | 6-wide, x86→µops | Complex decoder |
| µop Cache | 4K entries, 8-wide | Bypass for hot code |
| RAT | 180 physical regs | Supports deep OoO |
| Scheduler | 97 entries | Unified RS |
| Execution | 6 ports | ALU×2, Load, Store×2, Vector |
| ROB | 512 entries, 8-wide | In-order retirement |
| L1-I | 32 KB, 8-way | Instruction cache |
| L1-D | 48 KB, 12-way | Data cache |
| L2 | 1.25 MB, 20-way | Unified |
| DRAM | DDR5-6400, ~80ns | Off-chip |
## When to Use This Pattern
Use this diagram style for:
- CPU/GPU microarchitecture visualization
- Compiler pipeline stages
- Network packet processing pipelines
- Any system with parallel execution units fed by a scheduler
- Hardware designs with multiple functional units
@@ -0,0 +1,182 @@
# Electricity Grid: Generation to Consumption
A left-to-right flow diagram showing electricity from multiple generation sources through transmission and distribution networks to end consumers. Demonstrates multi-stage flow layout, voltage level visual hierarchy, and smart grid data overlay.
## Key Patterns Used
- **Multi-stage horizontal flow**: Four distinct columns (Generation → Transmission → Distribution → Consumption)
- **Stage dividers**: Vertical dashed lines separating each phase
- **Voltage level hierarchy**: Different line weights/colors for HV, MV, LV
- **Smart grid data overlay**: Dashed data flow lines from control center
- **Capacity labels**: Power ratings on generation sources
- **Multiple source convergence**: Four generators feeding into single transmission grid
## New Shape Techniques
### Nuclear Plant (cooling tower + reactor)
```xml
<!-- Cooling tower (hyperbolic curve) -->
<path class="nuclear-tower" d="M 25 80 Q 15 60 20 40 Q 25 20 40 15 Q 55 20 60 40 Q 65 60 55 80 Z"/>
<!-- Steam clouds -->
<ellipse class="nuclear-steam" cx="40" cy="8" rx="12" ry="6"/>
<!-- Reactor dome -->
<rect class="nuclear-building" x="65" y="45" width="40" height="35" rx="3"/>
<ellipse class="nuclear-building" cx="85" cy="45" rx="20" ry="8"/>
```
### Gas Peaker Plant (with flames)
```xml
<rect class="gas-plant" x="0" y="25" width="70" height="40" rx="3"/>
<!-- Smokestacks -->
<rect class="gas-stack" x="15" y="5" width="8" height="25" rx="1"/>
<!-- Flame -->
<path class="gas-flame" d="M 19 5 Q 17 0 19 -3 Q 21 0 19 5"/>
<!-- Turbine housing -->
<ellipse class="gas-plant" cx="55" cy="45" rx="12" ry="8"/>
```
### Transmission Pylon with Insulators
```xml
<!-- Tapered tower -->
<polygon class="pylon" points="20,0 25,0 30,80 15,80"/>
<!-- Cross arms -->
<line class="pylon-arm" x1="5" y1="10" x2="40" y2="10"/>
<line class="pylon-arm" x1="8" y1="25" x2="37" y2="25"/>
<!-- Insulators (where lines attach) -->
<circle class="insulator" cx="8" cy="10" r="3"/>
<circle class="insulator" cx="37" cy="10" r="3"/>
```
### Transformer Symbol
```xml
<!-- Two coils with core -->
<circle class="transformer-coil" cx="25" cy="25" r="12"/>
<circle class="transformer-coil" cx="55" cy="25" r="12"/>
<rect class="transformer-core" x="35" y="15" width="10" height="20" rx="2"/>
<!-- Busbars -->
<line x1="0" y1="15" x2="-10" y2="15" stroke="#EF9F27" stroke-width="3"/>
```
### Pole-mounted Transformer
```xml
<rect class="pole" x="18" y="0" width="4" height="60"/>
<line x1="10" y1="8" x2="30" y2="8" stroke="#854F0B" stroke-width="2"/>
<rect class="dist-transformer" x="8" y="15" width="24" height="18" rx="2"/>
<line class="lv-line" x1="20" y1="33" x2="20" y2="60"/>
```
### House with Roof
```xml
<rect class="home" x="0" y="25" width="35" height="30" rx="2"/>
<polygon class="home-roof" points="0,25 17,8 35,25"/>
<!-- Door -->
<rect x="8" y="35" width="8" height="15" fill="#085041"/>
<!-- Window -->
<rect x="22" y="32" width="8" height="8" fill="#9FE1CB"/>
```
### Factory Building
```xml
<rect class="factory" x="0" y="15" width="90" height="50" rx="3"/>
<!-- Smokestacks -->
<rect class="factory-stack" x="15" y="0" width="10" height="20"/>
<!-- Windows row -->
<rect x="10" y="30" width="15" height="12" fill="#F5C4B3"/>
<rect x="30" y="30" width="15" height="12" fill="#F5C4B3"/>
<!-- Loading dock -->
<rect x="55" y="50" width="30" height="15" fill="#993C1D"/>
```
### EV Charger with Car
```xml
<!-- Charging station -->
<rect class="ev-charger" x="20" y="0" width="25" height="45" rx="3"/>
<rect x="24" y="5" width="17" height="12" rx="1" fill="#3C3489"/>
<!-- Cable -->
<path d="M 32 20 Q 32 35 45 40" stroke="#534AB7" stroke-width="2" fill="none"/>
<circle cx="45" cy="40" r="4" fill="#534AB7"/>
<!-- Status light -->
<circle cx="32" cy="38" r="3" fill="#97C459"/>
<!-- EV Car -->
<path class="ev-car" d="M 5 20 L 5 12 Q 5 5 15 5 L 45 5 Q 55 5 55 12 L 55 20 Z"/>
<!-- Windows -->
<rect x="10" y="8" width="15" height="8" rx="2" fill="#534AB7"/>
<!-- Wheels -->
<circle cx="15" cy="22" r="5" fill="#2C2C2A"/>
<!-- Charging bolt icon -->
<path d="M 28 12 L 32 8 L 30 11 L 34 11 L 30 16 L 32 13 Z" fill="#97C459"/>
```
## Voltage Level Line Styles
```css
/* High voltage (transmission) - thick, bright */
.hv-line { stroke: #EF9F27; stroke-width: 2.5; fill: none; }
/* Medium voltage (distribution) - medium */
.mv-line { stroke: #BA7517; stroke-width: 2; fill: none; }
/* Low voltage (consumer) - thin, darker */
.lv-line { stroke: #854F0B; stroke-width: 1.5; fill: none; }
/* Smart grid data - dashed purple */
.data-flow { stroke: #7F77DD; stroke-width: 1; fill: none; stroke-dasharray: 3 2; opacity: 0.7; }
```
## Flow Arrow Marker
```xml
<defs>
<marker id="flow-arrow" viewBox="0 0 10 10" refX="9" refY="5"
markerWidth="6" markerHeight="6" orient="auto">
<path d="M0,0 L10,5 L0,10 Z" fill="#EF9F27"/>
</marker>
</defs>
<!-- Usage -->
<line x1="140" y1="105" x2="210" y2="105" class="hv-line" marker-end="url(#flow-arrow)"/>
```
## CSS Classes
```css
/* Generation */
.nuclear-tower { fill: #B4B2A9; stroke: #5F5E5A; stroke-width: 1; }
.nuclear-building { fill: #EEEDFE; stroke: #534AB7; stroke-width: 1; }
.solar-panel { fill: #3C3489; stroke: #534AB7; stroke-width: 0.5; }
.wind-tower { fill: #B4B2A9; stroke: #5F5E5A; stroke-width: 1; }
.wind-blade { fill: #F1EFE8; stroke: #888780; stroke-width: 0.5; }
.gas-plant { fill: #FAECE7; stroke: #993C1D; stroke-width: 1; }
.gas-flame { fill: #EF9F27; }
/* Transmission */
.pylon { fill: #5F5E5A; stroke: #444441; stroke-width: 0.5; }
.insulator { fill: #FAEEDA; stroke: #854F0B; stroke-width: 0.5; }
.substation { fill: #E6F1FB; stroke: #185FA5; stroke-width: 1; }
.transformer-coil { fill: none; stroke: #185FA5; stroke-width: 1.5; }
/* Distribution */
.pole { fill: #854F0B; stroke: #633806; stroke-width: 0.5; }
.dist-transformer { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 1; }
/* Consumption */
.home { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 1; }
.home-roof { fill: #0F6E56; stroke: #085041; stroke-width: 0.5; }
.factory { fill: #FAECE7; stroke: #993C1D; stroke-width: 1; }
.ev-charger { fill: #EEEDFE; stroke: #534AB7; stroke-width: 1; }
.ev-car { fill: #3C3489; stroke: #534AB7; stroke-width: 0.5; }
/* Smart grid */
.smart-grid { fill: #EEEDFE; stroke: #534AB7; stroke-width: 1.5; }
```
## Layout Notes
- **ViewBox**: 820×520 (wide for 4-column layout)
- **Column widths**: ~200px per stage
- **Stage dividers**: Vertical dashed lines at x=200, 420, 620
- **Stage labels**: Top of diagram, uppercase for emphasis
- **Flow direction**: Left-to-right with arrows showing power flow
- **Data overlay**: Smart grid data lines use different style (dashed purple) to distinguish from power lines
- **Capacity labels**: Show MW ratings on generators for context
- **Voltage labels**: Show transformation ratios at substations
@@ -0,0 +1,172 @@
# Feature Film Production Pipeline
A phased workflow showing the five stages of filmmaking, using containers with inner nodes and horizontal sub-flows within a phase.
## Key Patterns Used
- **Phase containers**: Large rounded rectangles with neutral background and dashed borders
- **Inner task nodes**: Smaller colored nodes inside containers for sub-tasks
- **Horizontal flow within container**: Post-production shows sequential pipeline with arrows (Editing → Color → VFX → Sound → Score)
- **Consistent phase spacing**: ~30px gap between phase containers
- **Phase labels with subtitles**: Each container has title + description
## Diagram
```xml
<svg width="100%" viewBox="0 0 680 780" xmlns="http://www.w3.org/2000/svg">
<defs>
<marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
</defs>
<!-- Phase 1: Development -->
<g>
<rect x="40" y="30" width="600" height="110" rx="16" stroke-width="1" stroke-dasharray="6 4" fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="56">Development</text>
<text class="ts" x="66" y="74">Concept to greenlight</text>
</g>
<g class="node c-purple">
<rect x="70" y="90" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="150" y="108" text-anchor="middle" dominant-baseline="central">Script / screenplay</text>
</g>
<g class="node c-purple">
<rect x="260" y="90" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="340" y="108" text-anchor="middle" dominant-baseline="central">Financing / budget</text>
</g>
<g class="node c-purple">
<rect x="450" y="90" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="530" y="108" text-anchor="middle" dominant-baseline="central">Casting leads</text>
</g>
<!-- Arrow to Phase 2 -->
<line x1="340" y1="140" x2="340" y2="170" class="arr" marker-end="url(#arrow)"/>
<!-- Phase 2: Pre-production -->
<g>
<rect x="40" y="170" width="600" height="110" rx="16" stroke-width="1" stroke-dasharray="6 4" fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="196">Pre-production</text>
<text class="ts" x="66" y="214">Planning and preparation</text>
</g>
<g class="node c-teal">
<rect x="70" y="230" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="150" y="248" text-anchor="middle" dominant-baseline="central">Storyboards</text>
</g>
<g class="node c-teal">
<rect x="260" y="230" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="340" y="248" text-anchor="middle" dominant-baseline="central">Location scouting</text>
</g>
<g class="node c-teal">
<rect x="450" y="230" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="530" y="248" text-anchor="middle" dominant-baseline="central">Crew hiring</text>
</g>
<!-- Arrow to Phase 3 -->
<line x1="340" y1="280" x2="340" y2="310" class="arr" marker-end="url(#arrow)"/>
<!-- Phase 3: Production -->
<g>
<rect x="40" y="310" width="600" height="110" rx="16" stroke-width="1" stroke-dasharray="6 4" fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="336">Production</text>
<text class="ts" x="66" y="354">Principal photography</text>
</g>
<g class="node c-coral">
<rect x="70" y="370" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="150" y="388" text-anchor="middle" dominant-baseline="central">Filming / shooting</text>
</g>
<g class="node c-coral">
<rect x="260" y="370" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="340" y="388" text-anchor="middle" dominant-baseline="central">Production sound</text>
</g>
<g class="node c-coral">
<rect x="450" y="370" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="530" y="388" text-anchor="middle" dominant-baseline="central">VFX plates</text>
</g>
<!-- Arrow to Phase 4 -->
<line x1="340" y1="420" x2="340" y2="450" class="arr" marker-end="url(#arrow)"/>
<!-- Phase 4: Post-production -->
<g>
<rect x="40" y="450" width="600" height="150" rx="16" stroke-width="1" stroke-dasharray="6 4" fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="476">Post-production</text>
<text class="ts" x="66" y="494">Assembly and finishing</text>
</g>
<g class="node c-amber">
<rect x="70" y="510" width="110" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="125" y="528" text-anchor="middle" dominant-baseline="central">Editing</text>
</g>
<g class="node c-amber">
<rect x="195" y="510" width="110" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="250" y="528" text-anchor="middle" dominant-baseline="central">Color grade</text>
</g>
<g class="node c-amber">
<rect x="320" y="510" width="90" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="365" y="528" text-anchor="middle" dominant-baseline="central">VFX</text>
</g>
<g class="node c-amber">
<rect x="425" y="510" width="100" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="475" y="528" text-anchor="middle" dominant-baseline="central">Sound mix</text>
</g>
<g class="node c-amber">
<rect x="540" y="510" width="80" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="580" y="528" text-anchor="middle" dominant-baseline="central">Score</text>
</g>
<!-- Flow arrows within post -->
<line x1="180" y1="528" x2="195" y2="528" class="arr" marker-end="url(#arrow)"/>
<line x1="305" y1="528" x2="320" y2="528" class="arr" marker-end="url(#arrow)"/>
<line x1="410" y1="528" x2="425" y2="528" class="arr" marker-end="url(#arrow)"/>
<line x1="525" y1="528" x2="540" y2="528" class="arr" marker-end="url(#arrow)"/>
<!-- Final delivery label -->
<g class="node c-amber">
<rect x="240" y="556" width="200" height="32" rx="6" stroke-width="0.5"/>
<text class="ts" x="340" y="572" text-anchor="middle" dominant-baseline="central">Final master / DCP</text>
</g>
<line x1="340" y1="546" x2="340" y2="556" class="arr" marker-end="url(#arrow)"/>
<!-- Arrow to Phase 5 -->
<line x1="340" y1="600" x2="340" y2="630" class="arr" marker-end="url(#arrow)"/>
<!-- Phase 5: Distribution -->
<g>
<rect x="40" y="630" width="600" height="110" rx="16" stroke-width="1" stroke-dasharray="6 4" fill="var(--bg-secondary)" stroke="var(--border)"/>
<text class="th" x="66" y="656">Distribution</text>
<text class="ts" x="66" y="674">Release and exhibition</text>
</g>
<g class="node c-blue">
<rect x="70" y="690" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="150" y="708" text-anchor="middle" dominant-baseline="central">Film festivals</text>
</g>
<g class="node c-blue">
<rect x="260" y="690" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="340" y="708" text-anchor="middle" dominant-baseline="central">Theatrical release</text>
</g>
<g class="node c-blue">
<rect x="450" y="690" width="160" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="530" y="708" text-anchor="middle" dominant-baseline="central">Streaming / VOD</text>
</g>
</svg>
```
## Color Assignments
| Element | Color | Reason |
|---------|-------|--------|
| Phase containers | Neutral (dashed) | Subtle grouping, doesn't compete with content |
| Development tasks | `c-purple` | Creative/concept work |
| Pre-production tasks | `c-teal` | Planning and preparation |
| Production tasks | `c-coral` | Active filming (main event) |
| Post-production tasks | `c-amber` | Processing/refinement |
| Distribution tasks | `c-blue` | Outward delivery/release |
## Layout Notes
- **ViewBox**: 680×780 (standard width, tall for 5 phases)
- **Container style**: Dashed border (`stroke-dasharray="6 4"`), neutral fill (`var(--bg-secondary)`), `stroke-width="1"`
- **Container height**: 110px for 3-node phases, 150px for post-production (more complex)
- **Inner node dimensions**: 160×36px for standard tasks, variable width for post-production sequential flow
- **Phase gap**: 30px between containers
- **Horizontal sub-flow**: Post-production uses tightly packed nodes with arrows between them to show sequence
- **Convergence node**: "Final master / DCP" sits below the horizontal flow, collecting all post outputs
@@ -0,0 +1,165 @@
# Hospital Emergency Department Flow
A multi-path flowchart showing patient journey through an emergency department with priority-based routing using semantic colors (red=critical, amber=urgent, green=stable).
## Key Patterns Used
- **Semantic color coding**: Red/amber/green for priority levels (not arbitrary decoration)
- **Stage labels**: Left-aligned faded labels marking workflow phases
- **Convergent paths**: Multiple entry points merging, then branching, then converging again
- **Nested containers**: Diagnostics grouped in a container with inner nodes
- **Legend**: Color key at bottom explaining priority levels
## Diagram
```xml
<svg width="100%" viewBox="0 0 680 620" xmlns="http://www.w3.org/2000/svg">
<defs>
<marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
</defs>
<!-- Stage labels -->
<text class="ts" x="40" y="68" text-anchor="start" opacity=".5">Arrival</text>
<text class="ts" x="40" y="168" text-anchor="start" opacity=".5">Assessment</text>
<text class="ts" x="40" y="288" text-anchor="start" opacity=".5">Priority routing</text>
<text class="ts" x="40" y="418" text-anchor="start" opacity=".5">Diagnostics</text>
<text class="ts" x="40" y="518" text-anchor="start" opacity=".5">Outcome</text>
<!-- Arrival: Ambulance -->
<g class="node c-gray">
<rect x="140" y="40" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="220" y="60" text-anchor="middle" dominant-baseline="central">Ambulance</text>
<text class="ts" x="220" y="80" text-anchor="middle" dominant-baseline="central">Emergency transport</text>
</g>
<!-- Arrival: Walk-in -->
<g class="node c-gray">
<rect x="380" y="40" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="460" y="60" text-anchor="middle" dominant-baseline="central">Walk-in</text>
<text class="ts" x="460" y="80" text-anchor="middle" dominant-baseline="central">Self-arrival</text>
</g>
<!-- Arrows to Triage -->
<line x1="220" y1="96" x2="300" y2="140" class="arr" marker-end="url(#arrow)"/>
<line x1="460" y1="96" x2="380" y2="140" class="arr" marker-end="url(#arrow)"/>
<!-- Triage -->
<g class="node c-purple">
<rect x="240" y="140" width="200" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="340" y="160" text-anchor="middle" dominant-baseline="central">Triage</text>
<text class="ts" x="340" y="180" text-anchor="middle" dominant-baseline="central">Nurse assessment, vitals</text>
</g>
<!-- Arrows from Triage to Priority -->
<line x1="280" y1="196" x2="140" y2="260" class="arr" marker-end="url(#arrow)"/>
<line x1="340" y1="196" x2="340" y2="260" class="arr" marker-end="url(#arrow)"/>
<line x1="400" y1="196" x2="540" y2="260" class="arr" marker-end="url(#arrow)"/>
<!-- Priority: Red - Trauma -->
<g class="node c-red">
<rect x="60" y="260" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="140" y="280" text-anchor="middle" dominant-baseline="central">Trauma bay</text>
<text class="ts" x="140" y="300" text-anchor="middle" dominant-baseline="central">Priority: critical</text>
</g>
<!-- Priority: Yellow - Exam rooms -->
<g class="node c-amber">
<rect x="260" y="260" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="340" y="280" text-anchor="middle" dominant-baseline="central">Exam rooms</text>
<text class="ts" x="340" y="300" text-anchor="middle" dominant-baseline="central">Priority: urgent</text>
</g>
<!-- Priority: Green - Waiting -->
<g class="node c-green">
<rect x="460" y="260" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="540" y="280" text-anchor="middle" dominant-baseline="central">Waiting area</text>
<text class="ts" x="540" y="300" text-anchor="middle" dominant-baseline="central">Priority: stable</text>
</g>
<!-- Arrows to Diagnostics -->
<line x1="140" y1="316" x2="220" y2="390" class="arr" marker-end="url(#arrow)"/>
<line x1="340" y1="316" x2="340" y2="390" class="arr" marker-end="url(#arrow)"/>
<line x1="540" y1="316" x2="460" y2="390" class="arr" marker-end="url(#arrow)"/>
<!-- Diagnostics container -->
<g class="c-teal">
<rect x="140" y="390" width="400" height="56" rx="12" stroke-width="0.5"/>
</g>
<!-- Labs -->
<g class="node c-teal">
<rect x="160" y="400" width="110" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="215" y="418" text-anchor="middle" dominant-baseline="central">Labs</text>
</g>
<!-- Imaging -->
<g class="node c-teal">
<rect x="285" y="400" width="110" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="340" y="418" text-anchor="middle" dominant-baseline="central">Imaging</text>
</g>
<!-- Diagnosis -->
<g class="node c-teal">
<rect x="410" y="400" width="110" height="36" rx="6" stroke-width="0.5"/>
<text class="ts" x="465" y="418" text-anchor="middle" dominant-baseline="central">Diagnosis</text>
</g>
<!-- Arrows to Outcomes -->
<line x1="215" y1="446" x2="160" y2="490" class="arr" marker-end="url(#arrow)"/>
<line x1="340" y1="446" x2="340" y2="490" class="arr" marker-end="url(#arrow)"/>
<line x1="465" y1="446" x2="520" y2="490" class="arr" marker-end="url(#arrow)"/>
<!-- Outcome: Admission -->
<g class="node c-coral">
<rect x="80" y="490" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="160" y="510" text-anchor="middle" dominant-baseline="central">Admission</text>
<text class="ts" x="160" y="530" text-anchor="middle" dominant-baseline="central">Inpatient ward</text>
</g>
<!-- Outcome: Surgery -->
<g class="node c-coral">
<rect x="260" y="490" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="340" y="510" text-anchor="middle" dominant-baseline="central">Surgery</text>
<text class="ts" x="340" y="530" text-anchor="middle" dominant-baseline="central">Operating room</text>
</g>
<!-- Outcome: Discharge -->
<g class="node c-coral">
<rect x="440" y="490" width="160" height="56" rx="8" stroke-width="0.5"/>
<text class="th" x="520" y="510" text-anchor="middle" dominant-baseline="central">Discharge</text>
<text class="ts" x="520" y="530" text-anchor="middle" dominant-baseline="central">Home with instructions</text>
</g>
<!-- Legend -->
<text class="ts" x="140" y="580" opacity=".5">Priority levels</text>
<g class="c-red"><rect x="140" y="592" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="162" y="604">Critical</text>
<g class="c-amber"><rect x="240" y="592" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="262" y="604">Urgent</text>
<g class="c-green"><rect x="340" y="592" width="14" height="14" rx="3" stroke-width="0.5"/></g>
<text class="ts" x="362" y="604">Stable</text>
</svg>
```
## Color Assignments
| Element | Color | Reason |
|---------|-------|--------|
| Entry points (Ambulance, Walk-in) | `c-gray` | Neutral starting points |
| Triage | `c-purple` | Processing/assessment step |
| Trauma bay | `c-red` | Critical priority (semantic) |
| Exam rooms | `c-amber` | Urgent priority (semantic) |
| Waiting area | `c-green` | Stable priority (semantic) |
| Diagnostics | `c-teal` | Clinical services category |
| Outcomes | `c-coral` | Final disposition category |
## Layout Notes
- **ViewBox**: 680×620 (standard width, extended height for 5 stages)
- **Stage spacing**: ~110-130px between stage rows
- **Diagonal arrows**: Connect nodes across columns naturally
- **Container with inner nodes**: Diagnostics uses outer `c-teal` rect with inner node rects
@@ -0,0 +1,114 @@
# ML Benchmark Grouped Bar Chart with Dual Axis
A quantitative data visualization comparing LLM inference speed across quantization levels with dual Y-axes, threshold markers, and an inset accuracy table.
## Key Patterns Used
- **Grouped bars**: Min/max range pairs per category using semantic color pairs (lighter=min, darker=max)
- **Dual Y-axis**: Left axis for primary metric (tok/s), right axis for secondary metric (VRAM GB)
- **Overlay line graph**: `<polyline>` with labeled dots showing VRAM usage across categories
- **Threshold marker**: Dashed red horizontal line indicating hardware limit (24 GB GPU)
- **Zone annotations**: Subtle text labels above/below threshold for context
- **Inset data table**: Alternating row fills below chart with quantitative accuracy data
- **Semantic color coding**: Each quantization level gets its own color from the skill palette (red=OOM, amber=slow, teal=sweet spot, blue=fast)
## Diagram Type
This is a **quantitative data chart** with:
- **Grouped vertical bars**: Range bars showing minmax performance per category
- **Secondary axis line**: VRAM usage overlaid as a connected scatter plot
- **Threshold annotation**: Hardware constraint line
- **Inset table**: Supporting accuracy metrics
## Chart Layout Formula
```
Chart area: x=90590, y=70410 (500px wide, 340px tall)
Left Y-axis: Primary metric (tok/s)
y = 410 (val / max_val) × 340
Right Y-axis: Secondary metric (VRAM GB)
Same formula, different scale labels
Groups: Divide width by number of categories
Bars: Each group → min bar (34px) + 8px gap + max bar (34px)
Line overlay: <polyline> connecting data points across group centers
Threshold: Horizontal dashed line at critical value
Table: Below chart, alternating row fills
```
## Data Mapped
| Quantization | Model Size | Speed (tok/s) | VRAM (GB) | MMLU Pro | Status |
|-------------|-----------|---------------|-----------|----------|--------|
| FP16 | 62 GB | 0.52 | 62 | 75.2 | OOM / unusable |
| Q8_0 | 32 GB | 35 | 32 | 75.0 | Partial offload |
| Q4_K_M | 16.8 GB | 812 | 16.8 | 73.1 | Fits in VRAM ✓ |
| IQ3_M | 12 GB | 1215 | 12 | 70.5 | Full GPU speed |
## Bar CSS Classes
```css
/* Light mode */
.bar-fp16-min { fill: #FCEBEB; stroke: #A32D2D; stroke-width: 0.75; }
.bar-fp16-max { fill: #F7C1C1; stroke: #A32D2D; stroke-width: 0.75; }
.bar-q8-min { fill: #FAEEDA; stroke: #854F0B; stroke-width: 0.75; }
.bar-q8-max { fill: #FAC775; stroke: #854F0B; stroke-width: 0.75; }
.bar-q4-min { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 0.75; }
.bar-q4-max { fill: #9FE1CB; stroke: #0F6E56; stroke-width: 0.75; }
.bar-iq3-min { fill: #E6F1FB; stroke: #185FA5; stroke-width: 0.75; }
.bar-iq3-max { fill: #B5D4F4; stroke: #185FA5; stroke-width: 0.75; }
/* Dark mode */
@media (prefers-color-scheme: dark) {
.bar-fp16-min { fill: #501313; stroke: #F09595; }
.bar-fp16-max { fill: #791F1F; stroke: #F09595; }
.bar-q8-min { fill: #412402; stroke: #EF9F27; }
.bar-q8-max { fill: #633806; stroke: #EF9F27; }
.bar-q4-min { fill: #04342C; stroke: #5DCAA5; }
.bar-q4-max { fill: #085041; stroke: #5DCAA5; }
.bar-iq3-min { fill: #042C53; stroke: #85B7EB; }
.bar-iq3-max { fill: #0C447C; stroke: #85B7EB; }
}
```
## Overlay Line CSS
```css
.vram-line { stroke: #534AB7; stroke-width: 2.5; fill: none; }
.vram-dot { fill: #534AB7; stroke: var(--bg-primary); stroke-width: 2; }
.vram-label { font-family: system-ui, sans-serif; font-size: 10px; fill: #534AB7; font-weight: 500; }
```
## Threshold CSS
```css
.threshold { stroke: #A32D2D; stroke-width: 1; stroke-dasharray: 6 3; fill: none; }
.threshold-label { font-family: system-ui, sans-serif; font-size: 10px; fill: #A32D2D; font-weight: 500; }
```
## Table CSS
```css
.tbl-header { fill: var(--bg-secondary); stroke: var(--border); stroke-width: 0.5; }
.tbl-row { fill: transparent; stroke: var(--border); stroke-width: 0.25; }
.tbl-alt { fill: var(--bg-secondary); stroke: var(--border); stroke-width: 0.25; }
```
## Layout Notes
- **ViewBox**: 680×660 (portrait, chart + legend + table)
- **Chart area**: y=70410, x=90590
- **Legend row**: y=458470
- **Inset table**: y=490620
- **Bar width**: 34px each, 8px gap between min/max pair
- **Group spacing**: 125px center-to-center
- **Dot halo**: White circle (r=6) behind colored dot (r=5) for legibility over bars/grid
## When to Use This Pattern
Use this diagram style for:
- Model benchmark comparisons across quantization levels
- Performance vs. resource usage tradeoff analysis
- Any multi-metric comparison with a hardware/software constraint
- GPU/TPU/accelerator benchmarking dashboards
- Accuracy vs. speed Pareto frontiers
- Hardware requirement sizing charts
@@ -0,0 +1,325 @@
# Place Order — UML Sequence Diagram
A UML sequence diagram for the 'Place Order' use case in an e-commerce system. Six lifelines (:Customer, :ShoppingCart, :OrderController, :PaymentGateway, :InventorySystem, :EmailService) interact across 14 numbered messages. An **alt** combined fragment (amber) covers the three conditional outcomes — payment authorized, payment failed, and item unavailable. A **par** combined fragment (teal) nested inside the success branch shows concurrent email confirmation and stock-level update. Demonstrates activation bars, two distinct arrowhead types, UML pentagon fragment tags, and guard conditions.
## Key Patterns Used
- **6 lifelines at equal spacing**: Lifeline centers placed at x=90, 190, 290, 390, 490, 590 (100px apart) so the first box left-edge lands at x=40 and the last right-edge lands at x=640 — exactly filling the safe area
- **Two-row actor headers**: Each lifeline box shows `":"` (small, tertiary color) on one line and the class name (slightly larger, bold) on a second line, matching the UML anonymous-instance notation `:ClassName`
- **Two separate arrowhead markers**: `#arr-call` is a filled triangle (`<polygon>`) for synchronous calls; `#arr-ret` is an open chevron (`fill="none"`) for dashed return messages — both use `context-stroke` to inherit line color
- **Activation bars**: Narrow 8px-wide rectangles (`class="activation"`) layered on top of lifeline stems to show object execution periods; OrderController's bar spans the entire interaction; shorter bars mark PaymentGateway, InventorySystem, and EmailService during their active windows
- **Combined fragment pentagon tag**: Each `alt` / `par` frame uses a `<polygon>` dog-eared label shape in the top-left corner — points follow the pattern `(x,y) (x+w,y) (x+w+6,y+6) (x+w+6,y+18) (x,y+18)` creating the characteristic UML notch
- **Nested par inside alt**: The `par` rect (teal) sits inside branch 1 of the `alt` rect (amber); inner rect uses inset x/y (+15/+2) so both borders remain visible and distinguishable
- **Guard conditions**: Italic text in `[square brackets]` placed immediately after each alt frame divider line, or just inside the top frame for branch 1 — rendered with a dedicated `guard-lbl` class (italic, amber color)
- **Alt branch dividers**: Solid horizontal lines (`.frag-alt-div`) span the full alt rect width to separate the three branches; par branch separator uses a dashed line (`.frag-par-div`) per UML spec
- **Lifeline end caps**: Short 14px horizontal tick marks at y=590 (bottom of all lifeline stems) to formally terminate each lifeline
- **Message sequence annotation**: A faint counter row below the legend (①–③ / ④–⑩ / ⑪–⑫ / ⑬–⑭) explains the four message groups without adding noise to the diagram body
## Diagram
```xml
<svg width="100%" viewBox="0 0 680 648" xmlns="http://www.w3.org/2000/svg">
<defs>
<!-- Open chevron arrowhead — return messages -->
<marker id="arr-ret" viewBox="0 0 10 10" refX="8" refY="5"
markerWidth="6" markerHeight="6" orient="auto-start-reverse">
<path d="M2 1L8 5L2 9" fill="none" stroke="context-stroke"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
</marker>
<!-- Filled triangle arrowhead — synchronous calls -->
<marker id="arr-call" viewBox="0 0 10 10" refX="9" refY="5"
markerWidth="7" markerHeight="7" orient="auto">
<polygon points="0,1 10,5 0,9" fill="context-stroke"/>
</marker>
</defs>
<!--
Lifeline centres (x):
L1 :Customer → 90
L2 :ShoppingCart → 190
L3 :OrderController → 290
L4 :PaymentGateway → 390
L5 :InventorySystem → 490
L6 :EmailService → 590
Actor boxes: x = cx50, y=20, w=100, h=56, rx=6
Lifelines: x = cx, y1=76, y2=590
-->
<!-- ── 1. LIFELINE DASHED STEMS (drawn first, behind everything) ── -->
<line x1="90" y1="76" x2="90" y2="590" class="lifeline"/>
<line x1="190" y1="76" x2="190" y2="590" class="lifeline"/>
<line x1="290" y1="76" x2="290" y2="590" class="lifeline"/>
<line x1="390" y1="76" x2="390" y2="590" class="lifeline"/>
<line x1="490" y1="76" x2="490" y2="590" class="lifeline"/>
<line x1="590" y1="76" x2="590" y2="590" class="lifeline"/>
<!-- ── 2. ACTOR HEADER BOXES ── -->
<!-- :Customer -->
<rect x="40" y="20" width="100" height="56" rx="6" class="actor"/>
<text class="actor-colon" x="90" y="40" text-anchor="middle" dominant-baseline="central">:</text>
<text class="actor-name" x="90" y="58" text-anchor="middle" dominant-baseline="central">Customer</text>
<!-- :ShoppingCart -->
<rect x="140" y="20" width="100" height="56" rx="6" class="actor"/>
<text class="actor-colon" x="190" y="37" text-anchor="middle" dominant-baseline="central">:</text>
<text class="actor-name" x="190" y="55" text-anchor="middle" dominant-baseline="central">ShoppingCart</text>
<!-- :OrderController -->
<rect x="240" y="20" width="100" height="56" rx="6" class="actor"/>
<text class="actor-colon" x="290" y="37" text-anchor="middle" dominant-baseline="central">:</text>
<text class="actor-name" x="290" y="55" text-anchor="middle" dominant-baseline="central">OrderController</text>
<!-- :PaymentGateway -->
<rect x="340" y="20" width="100" height="56" rx="6" class="actor"/>
<text class="actor-colon" x="390" y="37" text-anchor="middle" dominant-baseline="central">:</text>
<text class="actor-name" x="390" y="55" text-anchor="middle" dominant-baseline="central">PaymentGateway</text>
<!-- :InventorySystem -->
<rect x="440" y="20" width="100" height="56" rx="6" class="actor"/>
<text class="actor-colon" x="490" y="37" text-anchor="middle" dominant-baseline="central">:</text>
<text class="actor-name" x="490" y="55" text-anchor="middle" dominant-baseline="central">InventorySystem</text>
<!-- :EmailService -->
<rect x="540" y="20" width="100" height="56" rx="6" class="actor"/>
<text class="actor-colon" x="590" y="37" text-anchor="middle" dominant-baseline="central">:</text>
<text class="actor-name" x="590" y="55" text-anchor="middle" dominant-baseline="central">EmailService</text>
<!-- ── 3. ACTIVATION BARS ── -->
<!-- ShoppingCart: active while forwarding checkout → placeOrder -->
<rect x="186" y="102" width="8" height="26" rx="1" class="activation"/>
<!-- OrderController: active throughout full sequence -->
<rect x="286" y="128" width="8" height="415" rx="1" class="activation"/>
<!-- PaymentGateway: active during auth check (happy-path branch only) -->
<rect x="386" y="154" width="8" height="46" rx="1" class="activation"/>
<!-- InventorySystem: active from reserveItems → updateStockLevels end -->
<rect x="486" y="225" width="8" height="128" rx="1" class="activation"/>
<!-- EmailService: active during confirmation send -->
<rect x="586" y="290" width="8" height="25" rx="1" class="activation"/>
<!-- ── 4. PRE-ALT MESSAGES ── -->
<!-- ① checkout() :Customer → :ShoppingCart -->
<line x1="90" y1="102" x2="186" y2="102" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="140" y="97" text-anchor="middle">checkout()</text>
<!-- ② placeOrder(cartItems) :ShoppingCart → :OrderController -->
<line x1="194" y1="128" x2="286" y2="128" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="242" y="123" text-anchor="middle">placeOrder(cartItems)</text>
<!-- ③ authorizePayment(amount) :OrderController → :PaymentGateway -->
<line x1="294" y1="154" x2="386" y2="154" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="342" y="149" text-anchor="middle">authorizePayment(amount)</text>
<!-- ── 5. ALT COMBINED FRAGMENT y=166 → y=563 ── -->
<!-- Outer alt rectangle -->
<rect x="45" y="166" width="590" height="397" rx="3" class="frag-alt-bg"/>
<!-- Pentagon "alt" tag: TL corner notch shape -->
<polygon points="45,166 84,166 90,173 90,185 45,185" class="frag-alt-tag"/>
<text class="frag-alt-kw" x="67" y="178" text-anchor="middle" dominant-baseline="central">alt</text>
<!-- Guard: branch 1 -->
<text class="guard-lbl" x="96" y="179" dominant-baseline="central">[payment authorized]</text>
<!-- ─── Branch 1: payment authorized ─── -->
<!-- ④ « authorized » :PaymentGateway → :OrderController (dashed return) -->
<line x1="386" y1="200" x2="294" y2="200" class="msg-ret" marker-end="url(#arr-ret)"/>
<text class="rlbl" x="342" y="195" text-anchor="middle">« authorized »</text>
<!-- ⑤ reserveItems(cartItems) :OrderController → :InventorySystem -->
<line x1="294" y1="225" x2="486" y2="225" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="392" y="220" text-anchor="middle">reserveItems(cartItems)</text>
<!-- ⑥ « itemsReserved » :InventorySystem → :OrderController (dashed return) -->
<line x1="486" y1="250" x2="294" y2="250" class="msg-ret" marker-end="url(#arr-ret)"/>
<text class="rlbl" x="392" y="245" text-anchor="middle">« itemsReserved »</text>
<!-- ── 6. PAR COMBINED FRAGMENT (nested inside alt branch 1) y=266 → y=373 ── -->
<!-- Inner par rectangle -->
<rect x="60" y="266" width="560" height="107" rx="3" class="frag-par-bg"/>
<!-- Pentagon "par" tag -->
<polygon points="60,266 97,266 102,272 102,284 60,284" class="frag-par-tag"/>
<text class="frag-par-kw" x="81" y="275" text-anchor="middle" dominant-baseline="central">par</text>
<!-- Par branch 1: email confirmation -->
<!-- ⑦ sendConfirmationEmail() :OrderController → :EmailService -->
<line x1="294" y1="295" x2="586" y2="295" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="442" y="290" text-anchor="middle">sendConfirmationEmail()</text>
<!-- ⑧ « emailQueued » :EmailService → :OrderController (dashed return) -->
<line x1="586" y1="318" x2="294" y2="318" class="msg-ret" marker-end="url(#arr-ret)"/>
<text class="rlbl" x="442" y="313" text-anchor="middle">« emailQueued »</text>
<!-- Par branch divider (dashed, per UML spec) -->
<line x1="60" y1="336" x2="620" y2="336" class="frag-par-div"/>
<!-- Par branch 2: stock level update -->
<!-- ⑨ updateStockLevels() :OrderController → :InventorySystem -->
<line x1="294" y1="355" x2="486" y2="355" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="392" y="350" text-anchor="middle">updateStockLevels()</text>
<!-- PAR fragment ends at y=373 -->
<!-- ⑩ « orderPlaced » :OrderController → :Customer (dashed return, after par) -->
<line x1="286" y1="395" x2="90" y2="395" class="msg-ret" marker-end="url(#arr-ret)"/>
<text class="rlbl" x="190" y="390" text-anchor="middle">« orderPlaced »</text>
<!-- ─── Alt else: [payment failed] ─── -->
<!-- Alt branch divider 1 (solid line) -->
<line x1="45" y1="415" x2="635" y2="415" class="frag-alt-div"/>
<text class="guard-lbl" x="50" y="429" dominant-baseline="central">[payment failed]</text>
<!-- ⑪ « authFailed » :PaymentGateway → :OrderController (dashed return) -->
<line x1="390" y1="448" x2="294" y2="448" class="msg-ret" marker-end="url(#arr-ret)"/>
<text class="rlbl" x="344" y="443" text-anchor="middle">« authFailed »</text>
<!-- ⑫ error(PAYMENT_FAILED) :OrderController → :Customer -->
<line x1="286" y1="470" x2="90" y2="470" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="190" y="465" text-anchor="middle">error(PAYMENT_FAILED)</text>
<!-- ─── Alt else: [item unavailable] ─── -->
<!-- Alt branch divider 2 (solid line) -->
<line x1="45" y1="490" x2="635" y2="490" class="frag-alt-div"/>
<text class="guard-lbl" x="50" y="504" dominant-baseline="central">[item unavailable]</text>
<!-- ⑬ « unavailable » :InventorySystem → :OrderController (dashed return) -->
<line x1="486" y1="523" x2="294" y2="523" class="msg-ret" marker-end="url(#arr-ret)"/>
<text class="rlbl" x="392" y="518" text-anchor="middle">« unavailable »</text>
<!-- ⑭ error(ITEM_UNAVAILABLE) :OrderController → :Customer -->
<line x1="286" y1="545" x2="90" y2="545" class="msg-call" marker-end="url(#arr-call)"/>
<text class="mlbl" x="190" y="540" text-anchor="middle">error(ITEM_UNAVAILABLE)</text>
<!-- ALT fragment ends at y=563 -->
<!-- ── 7. LIFELINE END CAPS (short horizontal tick at y=590) ── -->
<line x1="83" y1="590" x2="97" y2="590" stroke="var(--text-tertiary)" stroke-width="1.5"/>
<line x1="183" y1="590" x2="197" y2="590" stroke="var(--text-tertiary)" stroke-width="1.5"/>
<line x1="283" y1="590" x2="297" y2="590" stroke="var(--text-tertiary)" stroke-width="1.5"/>
<line x1="383" y1="590" x2="397" y2="590" stroke="var(--text-tertiary)" stroke-width="1.5"/>
<line x1="483" y1="590" x2="497" y2="590" stroke="var(--text-tertiary)" stroke-width="1.5"/>
<line x1="583" y1="590" x2="597" y2="590" stroke="var(--text-tertiary)" stroke-width="1.5"/>
<!-- ── 8. LEGEND ── -->
<text class="ts" x="45" y="612" opacity=".45">Legend —</text>
<line x1="110" y1="609" x2="148" y2="609"
stroke="var(--text-primary)" stroke-width="1.5" marker-end="url(#arr-call)"/>
<text class="ts" x="154" y="613" opacity=".75">Synchronous call</text>
<line x1="288" y1="609" x2="326" y2="609"
stroke="var(--text-secondary)" stroke-width="1.5"
stroke-dasharray="5 3" marker-end="url(#arr-ret)"/>
<text class="ts" x="332" y="613" opacity=".75">Return message</text>
<rect x="458" y="603" width="22" height="13" rx="2"
fill="#FAEEDA" fill-opacity="0.5" stroke="#854F0B" stroke-width="0.75"/>
<text class="ts" x="484" y="613" opacity=".75">alt fragment</text>
<rect x="558" y="603" width="22" height="13" rx="2"
fill="#E1F5EE" fill-opacity="0.6" stroke="#0F6E56" stroke-width="0.75"/>
<text class="ts" x="584" y="613" opacity=".75">par fragment</text>
<!-- Message group annotation -->
<text class="ts" x="45" y="632" opacity=".35">
①–③ pre-condition · ④–⑩ happy path · ⑪–⑫ payment failure · ⑬–⑭ item unavailable
</text>
</svg>
```
## Custom CSS
Add these classes to the hosting page `<style>` block (in addition to the standard skill CSS):
```css
/* ── Actor lifeline header boxes ── */
.actor { fill: var(--bg-secondary); stroke: var(--text-secondary); stroke-width: 0.5; }
.actor-name { font-family: system-ui, sans-serif; font-size: 11.5px; font-weight: 600;
fill: var(--text-primary); }
.actor-colon { font-family: system-ui, sans-serif; font-size: 10px; fill: var(--text-tertiary); }
/* ── Lifeline dashed stems ── */
.lifeline { stroke: var(--text-tertiary); stroke-width: 1; stroke-dasharray: 6 4; fill: none; }
/* ── Activation bars ── */
.activation { fill: var(--bg-secondary); stroke: var(--text-secondary); stroke-width: 0.75; }
/* ── Message arrows ── */
.msg-call { stroke: var(--text-primary); stroke-width: 1.5; fill: none; }
.msg-ret { stroke: var(--text-secondary); stroke-width: 1.5; fill: none; stroke-dasharray: 6 3; }
/* ── Message labels ── */
.mlbl { font-family: system-ui, sans-serif; font-size: 11px; fill: var(--text-primary); }
.rlbl { font-family: system-ui, sans-serif; font-size: 11px; fill: var(--text-secondary);
font-style: italic; }
/* ── Combined fragment: alt (amber) ── */
.frag-alt-bg { fill: #FAEEDA; fill-opacity: 0.18; stroke: #854F0B; stroke-width: 1; }
.frag-alt-tag { fill: #FAEEDA; stroke: #854F0B; stroke-width: 0.75; }
.frag-alt-kw { font-family: system-ui, sans-serif; font-size: 11px; font-weight: 700;
fill: #633806; }
.frag-alt-div { stroke: #854F0B; stroke-width: 0.75; fill: none; }
.guard-lbl { font-family: system-ui, sans-serif; font-size: 10.5px; font-style: italic;
fill: #854F0B; }
/* ── Combined fragment: par (teal) ── */
.frag-par-bg { fill: #E1F5EE; fill-opacity: 0.35; stroke: #0F6E56; stroke-width: 1; }
.frag-par-tag { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 0.75; }
.frag-par-kw { font-family: system-ui, sans-serif; font-size: 11px; font-weight: 700;
fill: #085041; }
.frag-par-div { stroke: #0F6E56; stroke-width: 0.75; stroke-dasharray: 5 3; fill: none; }
/* ── Dark mode overrides ── */
@media (prefers-color-scheme: dark) {
.actor { fill: #2c2c2a; stroke: #b4b2a9; }
.actor-name { fill: #e8e6de; }
.actor-colon { fill: #888780; }
.frag-alt-bg { fill: #633806; fill-opacity: 0.25; stroke: #EF9F27; }
.frag-alt-tag { fill: #633806; stroke: #EF9F27; }
.frag-alt-kw { fill: #FAC775; }
.frag-alt-div { stroke: #EF9F27; }
.guard-lbl { fill: #EF9F27; }
.frag-par-bg { fill: #085041; fill-opacity: 0.35; stroke: #5DCAA5; }
.frag-par-tag { fill: #085041; stroke: #5DCAA5; }
.frag-par-kw { fill: #9FE1CB; }
.frag-par-div { stroke: #5DCAA5; }
}
```
## Color Assignments
| Element | Color | Reason |
|---------|-------|--------|
| Actor header boxes | Neutral (`var(--bg-secondary)`) | Structural / non-semantic — all lifelines share one style |
| Activation bars | Neutral (`var(--bg-secondary)`) | Show execution periods without adding semantic color |
| Synchronous call arrows | `var(--text-primary)` + filled triangle | High contrast for calls — the primary interaction direction |
| Return / dashed arrows | `var(--text-secondary)` + open chevron | Lower contrast for returns — secondary flow direction |
| `alt` fragment | Amber (`#FAEEDA` / `#854F0B`) | Warning / conditional — matches `c-amber` semantic meaning |
| Guard condition text | Amber italic | Belongs visually to the alt fragment |
| `par` fragment | Teal (`#E1F5EE` / `#0F6E56`) | Concurrent success path — matches `c-teal` semantic meaning |
| Alt branch dividers | Amber solid line | Continuity with the alt frame color |
| Par branch divider | Teal dashed line | UML spec: par branches separated by dashed lines |
## Layout Notes
- **ViewBox**: 680×648 (standard width; height = lifeline bottom y=590 + legend + annotation + 16px buffer)
- **Lifeline spacing formula**: `(safe_area_width) / (n_lifelines 1) = 600 / 5 = 120px` — but use `spacing = 100px` starting at `x=90` so that first box left = 40 and last box right = 640 exactly
- **Actor box split-label trick**: Two separate `<text>` elements per box — one for `":"` (10px, tertiary color) and one for the class name (11.5px bold, primary color) — avoids the 14px font needing ~150px+ per box for long names like "OrderController"
- **Pentagon tag formula**: For a fragment starting at `(fx, fy)`, the tag polygon points are `(fx,fy) (fx+w,fy) (fx+w+6,fy+6) (fx+w+6,fy+18) (fx,fy+18)` where `w` = approximate text width of the keyword + 8px padding each side
- **Nested fragment inset**: The `par` rect uses `x = alt_x + 15` and `y = alt_y_current + 2` so both borders remain simultaneously visible — inset enough to separate visually, not so much that it wastes vertical space
- **Activation bar placement**: `x = lifeline_cx 4`, `width = 8` — centered on the lifeline and narrow enough not to obscure the dashed stem behind it
- **Message label y-offset**: All labels are placed at `y = arrow_y 5` to sit just above the arrow line; this applies to both left-going and right-going arrows since `text-anchor="middle"` handles horizontal centering automatically
- **Return arrows entering activation bars**: End `x1/x2` at lifeline center (e.g. x=294 for OrderController) rather than the bar edge (x=286) — the small overlap is intentional and clarifies the target object
- **Alt guard label placement**: Branch 1 guard goes at `y = frame_top + 13` to the right of the pentagon tag; subsequent branch guards go at `divider_y + 14` so they sit just inside the new branch
- **Lifeline end cap pattern**: `<line x1="cx7" y1="590" x2="cx+7" y2="590" stroke-width="1.5"/>` — a simple symmetric tick, no special marker needed
@@ -0,0 +1,173 @@
# Smart City Infrastructure
A multi-system integration diagram showing interconnected city infrastructure (power, water, transport) connected through a central IoT platform with a citizen dashboard on top. Demonstrates hub-spoke layout, diverse physical shapes, and UI mockups.
## Key Patterns Used
- **Hub-spoke layout**: Central IoT platform with radiating data connections to subsystems
- **Connection dots**: Visual indicators where data lines attach to the central hub
- **Dashboard/UI mockup**: Screen with mini-charts, gauges, and status indicators
- **Multi-system integration**: Three independent systems unified by central platform
- **Semantic line styles**: Different stroke styles for data (dashed), power, water, roads
- **Physical infrastructure shapes**: Solar panels, wind turbines, dams, pipes, roads, vehicles
## New Shape Techniques
### Solar Panels (angled polygons with grid lines)
```xml
<polygon class="solar-panel" points="0,25 35,8 38,12 3,29"/>
<line class="solar-frame" x1="12" y1="22" x2="24" y2="13"/>
<line x1="19" y1="29" x2="19" y2="40" stroke="#5F5E5A" stroke-width="2"/>
```
### Wind Turbine (tower + nacelle + blades)
```xml
<!-- Tapered tower -->
<polygon class="wind-tower" points="20,70 30,70 28,25 22,25"/>
<!-- Nacelle -->
<rect class="wind-hub" x="18" y="20" width="14" height="8" rx="2"/>
<!-- Hub -->
<circle class="wind-hub" cx="25" cy="18" r="5"/>
<!-- Blades (rotated ellipses) -->
<ellipse class="wind-blade" cx="25" cy="5" rx="3" ry="13"/>
<ellipse class="wind-blade" cx="14" cy="26" rx="3" ry="13" transform="rotate(-120, 25, 18)"/>
<ellipse class="wind-blade" cx="36" cy="26" rx="3" ry="13" transform="rotate(120, 25, 18)"/>
```
### Battery with Charge Level
```xml
<rect class="battery" x="0" y="0" width="45" height="65" rx="5"/>
<!-- Terminals -->
<rect x="10" y="-6" width="10" height="8" rx="2" fill="#27500A"/>
<rect x="25" y="-6" width="10" height="8" rx="2" fill="#27500A"/>
<!-- Charge level fill -->
<rect class="battery-level" x="5" y="12" width="35" height="48" rx="3"/>
<text x="22" y="42" text-anchor="middle" fill="#173404" style="font-size:10px">85%</text>
```
### Dam/Reservoir with Water Waves
```xml
<!-- Dam wall -->
<polygon class="reservoir-wall" points="0,60 10,0 70,0 80,60"/>
<!-- Water behind dam -->
<polygon class="water" points="12,10 68,10 68,55 75,55 75,58 5,58 5,55 12,55"/>
<!-- Wave effect -->
<path d="M 15 25 Q 25 22 35 25 Q 45 28 55 25" fill="none" stroke="#378ADD" stroke-width="1" opacity="0.5"/>
```
### Pipe Network with Joints and Valves
```xml
<path class="pipe" d="M 80 85 L 110 85"/>
<circle class="pipe-joint" cx="10" cy="30" r="8"/>
<circle class="valve" cx="190" cy="85" r="6"/>
<!-- Distribution branches -->
<path class="pipe-thin" d="M 18 30 L 50 30"/>
<path class="pipe-thin" d="M 10 22 L 10 5 L 50 5"/>
```
### Road Intersection with Lane Markings
```xml
<!-- Road surface -->
<line class="road" x1="0" y1="50" x2="170" y2="50"/>
<line class="road-mark" x1="10" y1="50" x2="160" y2="50"/>
<!-- Cross road -->
<line class="road" x1="85" y1="0" x2="85" y2="100"/>
<line class="road-mark" x1="85" y1="10" x2="85" y2="90"/>
<!-- Embedded sensors -->
<circle class="sensor" cx="40" cy="50" r="5"/>
```
### Traffic Light with Signal States
```xml
<rect class="traffic-light" x="0" y="0" width="14" height="32" rx="3"/>
<circle class="light-red" cx="7" cy="8" r="4"/>
<circle class="light-off" cx="7" cy="16" r="4"/>
<circle class="light-off" cx="7" cy="24" r="4"/>
```
### Bus with Windows and Wheels
```xml
<rect class="bus" x="0" y="0" width="55" height="28" rx="6"/>
<!-- Windows -->
<rect class="bus-window" x="5" y="5" width="12" height="12" rx="2"/>
<rect class="bus-window" x="20" y="5" width="12" height="12" rx="2"/>
<!-- Wheels with hubcaps -->
<circle cx="14" cy="30" r="6" fill="#2C2C2A"/>
<circle cx="14" cy="30" r="3" fill="#5F5E5A"/>
```
### Dashboard UI Mockup
```xml
<!-- Monitor frame -->
<rect class="dashboard" x="0" y="0" width="200" height="120" rx="8"/>
<!-- Screen -->
<rect class="screen" x="10" y="10" width="180" height="85" rx="4"/>
<!-- Mini bar chart -->
<rect class="screen-content" x="18" y="18" width="50" height="35" rx="2"/>
<rect class="screen-chart" x="22" y="38" width="8" height="12"/>
<rect class="screen-chart" x="33" y="32" width="8" height="18"/>
<!-- Gauge -->
<circle class="screen-bar" cx="100" cy="35" r="12"/>
<text x="100" y="39" text-anchor="middle" fill="#E8E6DE" style="font-size:8px">78%</text>
<!-- Status indicators -->
<circle cx="35" cy="74" r="6" fill="#97C459"/>
<circle cx="75" cy="74" r="6" fill="#97C459"/>
<circle cx="115" cy="74" r="6" fill="#EF9F27"/>
```
### Hexagonal IoT Hub with Connection Points
```xml
<!-- Outer hexagon -->
<polygon class="iot-hex" points="0,-45 39,-22 39,22 0,45 -39,22 -39,-22"/>
<!-- Inner hexagon -->
<polygon class="iot-inner" points="0,-20 17,-10 17,10 0,20 -17,10 -17,-10"/>
<!-- Connection dots on data lines -->
<circle cx="321" cy="248" r="4" fill="#7F77DD"/>
```
## CSS Classes for Infrastructure
```css
/* Power system */
.solar-panel { fill: #3C3489; stroke: #534AB7; stroke-width: 0.5; }
.solar-frame { fill: none; stroke: #EEEDFE; stroke-width: 0.5; }
.wind-tower { fill: #B4B2A9; stroke: #5F5E5A; stroke-width: 1; }
.wind-blade { fill: #F1EFE8; stroke: #888780; stroke-width: 0.5; }
.battery { fill: #27500A; stroke: #3B6D11; stroke-width: 1.5; }
.battery-level { fill: #97C459; }
.power-line { stroke: #EF9F27; stroke-width: 2; fill: none; }
/* Water system */
.reservoir-wall { fill: #B4B2A9; stroke: #5F5E5A; stroke-width: 1; }
.water { fill: #85B7EB; stroke: #378ADD; stroke-width: 0.5; }
.pipe { fill: none; stroke: #378ADD; stroke-width: 4; stroke-linecap: round; }
.pipe-joint { fill: #185FA5; stroke: #0C447C; stroke-width: 1; }
.valve { fill: #0C447C; stroke: #185FA5; stroke-width: 1; }
/* Transport */
.road { stroke: #888780; stroke-width: 8; fill: none; stroke-linecap: round; }
.road-mark { stroke: #F1EFE8; stroke-width: 1; fill: none; stroke-dasharray: 6 4; }
.traffic-light { fill: #444441; stroke: #2C2C2A; stroke-width: 0.5; }
.light-red { fill: #E24B4A; }
.light-green { fill: #97C459; }
.light-off { fill: #2C2C2A; }
.bus { fill: #E1F5EE; stroke: #0F6E56; stroke-width: 1.5; }
/* Data/IoT */
.data-line { stroke: #7F77DD; stroke-width: 2; fill: none; stroke-dasharray: 4 3; }
.iot-hex { fill: #EEEDFE; stroke: #534AB7; stroke-width: 2; }
/* Dashboard */
.dashboard { fill: #F1EFE8; stroke: #5F5E5A; stroke-width: 1.5; }
.screen { fill: #1a1a18; }
.screen-chart { fill: #5DCAA5; }
```
## Layout Notes
- **ViewBox**: 720×620 (wider for three-column system layout)
- **Hub position**: Central IoT at (360, 270) - geometric center
- **Data lines**: Use quadratic curves or L-shaped paths, add connection dots at hub attachment points
- **System spacing**: ~200px width per system section
- **Vertical layers**: Dashboard (top) → IoT Hub (middle) → Systems (bottom)
- **Component grouping**: Use `<g transform="translate(x,y)">` for each major component for easy positioning
@@ -0,0 +1,154 @@
# Smartphone Layer Anatomy
An exploded view diagram showing all internal layers of a smartphone from front glass to back, with alternating left/right labels to avoid overlap. Demonstrates layered product teardown visualization and component detail.
## Key Patterns Used
- **Exploded vertical stack**: Layers separated vertically to show internal structure
- **Alternating labels**: Left/right label placement prevents text overlap
- **Component detail**: Chips, coils, lenses rendered with realistic shapes
- **Thickness scale**: Measurement indicator on the side
- **Progressive depth**: Each layer slightly offset to create 3D stack effect
## New Shape Techniques
### Capacitive Touch Grid
```xml
<rect class="digitizer" x="0" y="0" width="140" height="90" rx="14"/>
<g transform="translate(8, 8)">
<!-- Horizontal lines -->
<line class="digitizer-grid" x1="0" y1="15" x2="124" y2="15"/>
<line class="digitizer-grid" x1="0" y1="37" x2="124" y2="37"/>
<!-- Vertical lines -->
<line class="digitizer-grid" x1="20" y1="0" x2="20" y2="74"/>
<line class="digitizer-grid" x1="50" y1="0" x2="50" y2="74"/>
</g>
<!-- Touch point indicator -->
<circle cx="70" cy="45" r="12" fill="none" stroke="#7F77DD" stroke-width="2" opacity="0.6"/>
<circle cx="70" cy="45" r="5" fill="#7F77DD" opacity="0.4"/>
```
### OLED RGB Subpixels
```xml
<rect class="oled-panel" x="0" y="0" width="140" height="90" rx="12"/>
<g transform="translate(10, 10)">
<!-- RGB pixel group -->
<rect class="oled-subpixel-r" x="0" y="0" width="2" height="6"/>
<rect class="oled-subpixel-g" x="3" y="0" width="2" height="6"/>
<rect class="oled-subpixel-b" x="6" y="0" width="2" height="6"/>
<!-- Repeat pattern -->
<rect class="oled-subpixel-r" x="11" y="0" width="2" height="6"/>
<rect class="oled-subpixel-g" x="14" y="0" width="2" height="6"/>
<rect class="oled-subpixel-b" x="17" y="0" width="2" height="6"/>
</g>
```
### Logic Board with Chips
```xml
<rect class="pcb" x="0" y="0" width="116" height="106" rx="3"/>
<!-- PCB traces -->
<path class="pcb-trace" d="M 8 50 L 30 50 L 30 35"/>
<!-- CPU chip -->
<rect class="chip-cpu" x="30" y="20" width="55" height="35" rx="3"/>
<text class="chip-label" x="57" y="35" text-anchor="middle">A17 Pro</text>
<!-- RAM chip -->
<rect class="chip-ram" x="30" y="62" width="35" height="18" rx="2"/>
<text class="chip-label" x="47" y="74" text-anchor="middle">8GB RAM</text>
<!-- Storage chip -->
<rect class="chip-storage" x="30" y="85" width="55" height="16" rx="2"/>
<text class="chip-label" x="57" y="96" text-anchor="middle">256GB NAND</text>
```
### Camera Lens Array
```xml
<!-- Main camera -->
<circle class="camera-lens" cx="20" cy="20" r="18"/>
<circle class="camera-lens-inner" cx="20" cy="20" r="13"/>
<circle class="camera-sensor" cx="20" cy="20" r="8"/>
<circle cx="20" cy="20" r="3" fill="#1a1a18"/>
<!-- Secondary camera (smaller) -->
<circle class="camera-lens" cx="15" cy="15" r="13"/>
<circle class="camera-lens-inner" cx="15" cy="15" r="9"/>
<circle class="camera-sensor" cx="15" cy="15" r="5"/>
```
### Wireless Charging Coil with Magnets
```xml
<!-- Concentric coil rings -->
<circle class="charging-coil-outer" cx="0" cy="0" r="30"/>
<circle class="charging-coil" cx="0" cy="0" r="23"/>
<circle class="charging-coil" cx="0" cy="0" r="16"/>
<circle class="charging-coil" cx="0" cy="0" r="9"/>
<!-- MagSafe magnet ring -->
<circle class="magnet" cx="0" cy="-35" r="3"/>
<circle class="magnet" cx="25" cy="-25" r="3"/>
<circle class="magnet" cx="35" cy="0" r="3"/>
<circle class="magnet" cx="25" cy="25" r="3"/>
<!-- ... continue around circle -->
```
### Battery Cell
```xml
<rect class="battery" x="0" y="0" width="140" height="90" rx="10"/>
<rect class="battery-cell" x="10" y="12" width="120" height="60" rx="6"/>
<text x="70" y="38" text-anchor="middle" fill="#27500A" style="font-size:9px">Li-Ion Polymer</text>
<text x="70" y="52" text-anchor="middle" fill="#27500A" style="font-size:12px; font-weight:bold">4422 mAh</text>
<rect class="battery-connector" x="55" y="75" width="30" height="10" rx="2"/>
```
## CSS Classes
```css
/* Glass */
.front-glass { fill: #E8E6DE; stroke: #888780; stroke-width: 1; opacity: 0.9; }
.back-glass { fill: #2C2C2A; stroke: #444441; stroke-width: 1; }
/* Touch digitizer */
.digitizer { fill: #EEEDFE; stroke: #534AB7; stroke-width: 1; }
.digitizer-grid { stroke: #AFA9EC; stroke-width: 0.3; fill: none; }
/* OLED */
.oled-panel { fill: #1a1a18; stroke: #444441; stroke-width: 1; }
.oled-subpixel-r { fill: #E24B4A; }
.oled-subpixel-g { fill: #97C459; }
.oled-subpixel-b { fill: #378ADD; }
/* Midframe */
.midframe { fill: #B4B2A9; stroke: #5F5E5A; stroke-width: 1.5; }
/* Logic board */
.pcb { fill: #0F6E56; stroke: #085041; stroke-width: 1; }
.pcb-trace { stroke: #5DCAA5; stroke-width: 0.3; fill: none; }
.chip-cpu { fill: #3C3489; stroke: #534AB7; stroke-width: 0.5; }
.chip-ram { fill: #185FA5; stroke: #378ADD; stroke-width: 0.5; }
.chip-storage { fill: #27500A; stroke: #3B6D11; stroke-width: 0.5; }
/* Battery */
.battery { fill: #EAF3DE; stroke: #3B6D11; stroke-width: 1.5; }
.battery-cell { fill: #97C459; stroke: #639922; stroke-width: 0.5; }
/* Camera */
.camera-lens { fill: #0C447C; stroke: #185FA5; stroke-width: 0.5; }
.camera-lens-inner { fill: #1a1a18; stroke: #378ADD; stroke-width: 0.3; }
.camera-sensor { fill: #3C3489; stroke: #534AB7; stroke-width: 0.3; }
/* Wireless charging */
.charging-coil { fill: none; stroke: #EF9F27; stroke-width: 1.5; }
.magnet { fill: #5F5E5A; stroke: #444441; stroke-width: 0.5; }
```
## Layout Notes
- **ViewBox**: 900×780 (tall for vertical stack)
- **Layer offset**: Each layer offset 10px right and down for depth effect
- **Label alternation**: Odd layers → RIGHT labels, Even layers → LEFT labels
- **Thickness scale**: Vertical measurement bar on left side
- **Front/Back markers**: Text labels at top and bottom
- **Chip labels**: Use small white text (6px) directly on chip shapes
@@ -0,0 +1,247 @@
# SN2 Reaction Mechanism
A chemistry diagram showing the bimolecular nucleophilic substitution (SN2) mechanism between hydroxide ion and methyl bromide. Demonstrates molecular structure rendering, electron movement arrows, transition state notation, and reaction energy profiles.
## Key Patterns Used
- **Molecular structures**: Ball-and-stick style atoms with bonds
- **Electron movement**: Curved arrows showing nucleophilic attack
- **Transition state**: Bracketed pentacoordinate intermediate with partial charges
- **Stereochemistry**: Wedge/dash bonds showing 3D configuration
- **Energy profile**: Potential energy vs reaction coordinate plot
- **Annotation boxes**: Key features and mechanistic notes
## Diagram Type
This is a **chemistry mechanism diagram** with:
- **Molecular rendering**: Atoms as colored circles with element symbols
- **Bond notation**: Solid, wedge, dash, and partial (dashed) bonds
- **Reaction arrows**: Curved for electron movement, straight for reaction progress
- **Energy landscape**: Quantitative energy profile below mechanism
## Molecular Structure Elements
### Atom Rendering
```xml
<!-- Carbon atom (dark) -->
<circle cx="0" cy="0" r="14" class="carbon"/>
<text class="chem" x="0" y="5" text-anchor="middle" fill="white" font-weight="500">C</text>
<!-- Oxygen atom (red) -->
<circle cx="0" cy="0" r="14" class="oxygen"/>
<text class="chem" x="0" y="5" text-anchor="middle" fill="white" font-weight="500">O</text>
<!-- Hydrogen atom (light with border) -->
<circle cx="38" cy="0" r="8" class="hydrogen"/>
<text class="chem-sm" x="38" y="4" text-anchor="middle">H</text>
<!-- Bromine atom (brown) -->
<circle cx="52" cy="0" r="16" class="bromine"/>
<text class="chem" x="52" y="5" text-anchor="middle" fill="white" font-weight="500">Br</text>
```
```css
.carbon { fill: #2C2C2A; }
.hydrogen { fill: #F1EFE8; stroke: #888780; stroke-width: 1; }
.oxygen { fill: #E24B4A; }
.bromine { fill: #993C1D; }
.nitrogen { fill: #378ADD; } /* for other reactions */
```
### Bond Types
```xml
<!-- Single bond (solid) -->
<line x1="14" y1="0" x2="38" y2="0" class="bond"/>
<!-- Wedge bond (coming toward viewer) -->
<polygon class="bond-wedge" points="0,-14 -6,-35 6,-35"/>
<!-- Dash bond (going away from viewer) -->
<line x1="-10" y1="10" x2="-28" y2="28" class="bond-dash"/>
<!-- Partial bond (forming/breaking) -->
<line x1="-40" y1="0" x2="-14" y2="0" class="bond-partial"/>
```
```css
.bond { stroke: var(--text-primary); stroke-width: 2.5; fill: none; stroke-linecap: round; }
.bond-thin { stroke: var(--text-primary); stroke-width: 1.5; fill: none; }
.bond-partial { stroke: var(--text-primary); stroke-width: 2; fill: none; stroke-dasharray: 4 3; }
.bond-wedge { fill: var(--text-primary); stroke: none; }
.bond-dash { stroke: var(--text-primary); stroke-width: 2; fill: none; stroke-dasharray: 2 2; }
```
### Lone Pairs and Charges
```xml
<!-- Lone pair electrons (dots) -->
<circle cx="-8" cy="-18" r="2" fill="var(--text-primary)"/>
<circle cx="0" cy="-18" r="2" fill="var(--text-primary)"/>
<!-- Formal negative charge -->
<text class="charge" x="12" y="-12" fill="#A32D2D" font-weight="bold">⊖</text>
<!-- Partial charges (delta notation) -->
<text class="partial" x="0" y="-18" text-anchor="middle" fill="#A32D2D">δ⁻</text>
<text class="partial" x="0" y="-22" text-anchor="middle" fill="#3B6D11">δ⁺</text>
```
```css
.charge { font-family: "Times New Roman", Georgia, serif; font-size: 12px; }
.partial { font-family: "Times New Roman", Georgia, serif; font-size: 11px; font-style: italic; }
```
### Curved Arrow (Electron Movement)
```xml
<defs>
<marker id="curved-arrow" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="6" markerHeight="6" orient="auto">
<path d="M0,0 L10,5 L0,10 L3,5 Z" class="arrow-fill"/>
</marker>
</defs>
<!-- Nucleophilic attack arrow -->
<path d="M -5,15 Q 30,60 70,25" class="arrow-curved" marker-end="url(#curved-arrow)"/>
```
```css
.arrow-curved { stroke: #534AB7; stroke-width: 2; fill: none; }
.arrow-fill { fill: #534AB7; }
```
### Transition State Brackets
```xml
<!-- Left bracket -->
<path d="M -75,-70 L -85,-70 L -85,75 L -75,75" class="ts-bracket"/>
<!-- Right bracket -->
<path d="M 95,-70 L 105,-70 L 105,75 L 95,75" class="ts-bracket"/>
<!-- Double dagger symbol -->
<text class="chem" x="115" y="-60" fill="var(--text-primary)">‡</text>
```
```css
.ts-bracket { stroke: var(--text-primary); stroke-width: 1.5; fill: none; }
```
## Energy Profile Diagram
### Axes
```xml
<!-- Y-axis (Energy) -->
<line x1="0" y1="280" x2="0" y2="0" class="axis" marker-end="url(#straight-arrow)"/>
<text class="t" x="-15" y="-10" text-anchor="middle" transform="rotate(-90 -15 140)">Potential Energy</text>
<!-- X-axis (Reaction Coordinate) -->
<line x1="0" y1="280" x2="600" y2="280" class="axis" marker-end="url(#straight-arrow)"/>
<text class="t" x="580" y="305" text-anchor="middle">Reaction Coordinate</text>
```
### Energy Curve
```xml
<!-- Filled area under curve -->
<path class="energy-fill" d="
M 40,200
Q 150,200 250,50
Q 350,200 500,220
L 500,280 L 40,280 Z
"/>
<!-- Curve line -->
<path class="energy-curve" d="
M 40,200
Q 100,200 150,150
Q 200,80 250,50
Q 300,80 350,150
Q 400,210 500,220
"/>
```
```css
.energy-curve { stroke: #534AB7; stroke-width: 2.5; fill: none; }
.energy-fill { fill: rgba(83, 74, 183, 0.1); }
```
### Energy Levels and Annotations
```xml
<!-- Reactants level -->
<line x1="20" y1="200" x2="80" y2="200" stroke="#3B6D11" stroke-width="2"/>
<text class="ts" x="50" y="218" text-anchor="middle">Reactants</text>
<!-- Transition state peak -->
<circle cx="250" cy="50" r="5" fill="#534AB7"/>
<line x1="250" y1="50" x2="250" y2="280" class="energy-level"/>
<text class="ts" x="250" y="30" text-anchor="middle" fill="#534AB7" font-weight="500">Transition State [‡]</text>
<!-- Products level (lower = exergonic) -->
<line x1="470" y1="220" x2="530" y2="220" stroke="#3B6D11" stroke-width="2"/>
<!-- Activation energy arrow -->
<line x1="100" y1="200" x2="100" y2="55" class="delta-arrow" marker-end="url(#delta-arrow)"/>
<text class="ts" x="85" y="125" text-anchor="end" fill="#3B6D11">E<tspan baseline-shift="sub" font-size="8">a</tspan></text>
```
```css
.energy-level { stroke: var(--text-secondary); stroke-width: 1; stroke-dasharray: 4 2; fill: none; }
.delta-arrow { stroke: #3B6D11; stroke-width: 1.5; fill: none; }
.delta-fill { fill: #3B6D11; }
```
## Chemistry Text Styles
```css
/* Chemistry notation (serif font for formulas) */
.chem { font-family: "Times New Roman", Georgia, serif; font-size: 16px; fill: var(--text-primary); }
.chem-sm { font-family: "Times New Roman", Georgia, serif; font-size: 12px; fill: var(--text-primary); }
.chem-lg { font-family: "Times New Roman", Georgia, serif; font-size: 18px; fill: var(--text-primary); }
```
## Subscript/Superscript in SVG
```xml
<!-- Subscript using tspan -->
<text class="ts">E<tspan baseline-shift="sub" font-size="8">a</tspan></text>
<!-- Superscript for charges -->
<text class="chem-sm">OH⁻</text> <!-- Using Unicode superscript minus -->
<text class="chem-sm">CH₃Br</text> <!-- Using Unicode subscript 3 -->
```
## Color Coding
| Element | Color | Hex |
|---------|-------|-----|
| Carbon | Dark gray | #2C2C2A |
| Hydrogen | Light cream | #F1EFE8 |
| Oxygen | Red | #E24B4A |
| Bromine | Brown | #993C1D |
| Nitrogen | Blue | #378ADD |
| Electron arrows | Purple | #534AB7 |
| Positive charge | Green | #3B6D11 |
| Negative charge | Red | #A32D2D |
## Layout Notes
- **ViewBox**: 800×680 (landscape for mechanism + energy profile)
- **Mechanism section**: y=60-300, showing reactants → TS → products
- **Energy profile**: y=320-630, with axes and curve
- **Atom sizes**: C/O/Br ~12-16px radius, H ~7-8px radius
- **Bond lengths**: ~25-40px between atom centers
- **Spacing**: ~140px between mechanism stages
## When to Use This Pattern
Use this diagram style for:
- Organic reaction mechanisms (SN1, SN2, E1, E2, additions, eliminations)
- Reaction energy profiles and kinetics
- Stereochemistry illustrations
- Enzyme mechanism diagrams
- Transition state theory visualization
- Any chemistry concept requiring molecular structures

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