Compare commits

...

221 Commits

Author SHA1 Message Date
rob-maron f16808fac1 Merge remote-tracking branch 'origin/main' into switch-managed-browser-to-browser-use 2026-04-07 08:12:45 -04:00
Ben 4d65666527 fix(browser-use): port missing improvements from PR #5605
- CDP URL normalization: resolve HTTP discovery URLs to websocket after
  cloud provider create_session() (prevents agent-browser failures)
- Managed session payload: send timeout=5 and proxyCountryCode=us for
  gateway-backed sessions (prevents billing overruns)
- Update prompt builder, browser_close schema, and module docstring to
  replace remaining Browserbase references with Browser Use
- Dynamic /browser status detection via _get_cloud_provider() instead
  of hardcoded env var checks (future-proof for new providers)
- Rename post_setup key from 'browserbase' to 'agent_browser'
- Update setup hint to mention Browser Use alongside Browserbase
- Add tests: CDP normalization, browserbase direct-only guard,
  managed browser-use gateway, direct browserbase fallback
2026-04-07 22:00:15 +10:00
Ben 9d431b23e2 fix(nous_subscription): browserbase explicit provider is direct-only
Since managed Nous gateway now routes through Browser Use, the
browserbase explicit provider path should not check managed_browser_available
(which resolves against the browser-use gateway). Simplified to direct-only
with managed=False.
2026-04-07 20:43:14 +10:00
Teknium 8b861b77c1 refactor: remove browser_close tool — auto-cleanup handles it (#5792)
* refactor: remove browser_close tool — auto-cleanup handles it

The browser_close tool was called in only 9% of browser sessions (13/144
navigations across 66 sessions), always redundantly — cleanup_browser()
already runs via _cleanup_task_resources() at conversation end, and the
background inactivity reaper catches anything else.

Removing it saves one tool schema slot in every browser-enabled API call.

Also fixes a latent bug: cleanup_browser() now handles Camofox sessions
too (previously only Browserbase). Camofox sessions were never auto-cleaned
per-task because they live in a separate dict from _active_sessions.

Files changed (13):
- tools/browser_tool.py: remove function, schema, registry entry; add
  camofox cleanup to cleanup_browser()
- toolsets.py, model_tools.py, prompt_builder.py, display.py,
  acp_adapter/tools.py: remove browser_close from all tool lists
- tests/: remove browser_close test, update toolset assertion
- docs/skills: remove all browser_close references

* fix: repeat browser_scroll 5x per call for meaningful page movement

Most backends scroll ~100px per call — barely visible on a typical
viewport. Repeating 5x gives ~500px (~half a viewport), making each
scroll tool call actually useful.

Backend-agnostic approach: works across all 7+ browser backends without
needing to configure each one's scroll amount individually. Breaks
early on error for the agent-browser path.

* feat: auto-return compact snapshot from browser_navigate

Every browser session starts with navigate → snapshot. Now navigate
returns the compact accessibility tree snapshot inline, saving one
tool call per browser task.

The snapshot captures the full page DOM (not viewport-limited), so
scroll position doesn't affect it. browser_snapshot remains available
for refreshing after interactions or getting full=true content.

Both Browserbase and Camofox paths auto-snapshot. If the snapshot
fails for any reason, navigation still succeeds — the snapshot is
a bonus, not a requirement.

Schema descriptions updated to guide models: navigate mentions it
returns a snapshot, snapshot mentions it's for refresh/full content.

* refactor: slim cronjob tool schema — consolidate model/provider, drop unused params

Session data (151 calls across 67 sessions) showed several schema
properties were never used by models. Consolidated and cleaned up:

Removed from schema (still work via backend/CLI):
- skill (singular): use skills array instead
- reason: pause-only, unnecessary
- include_disabled: now defaults to true
- base_url: extreme edge case, zero usage
- provider (standalone): merged into model object

Consolidated:
- model + provider → single 'model' object with {model, provider} fields.
  If provider is omitted, the current main provider is pinned at creation
  time so the job stays stable even if the user changes their default.

Kept:
- script: useful data collection feature
- skills array: standard interface for skill loading

Schema shrinks from 14 to 10 properties. All backend functionality
preserved — the Python function signature and handler lambda still
accept every parameter.

* fix: remove mixture_of_agents from core toolsets — opt-in only via hermes tools

MoA was in _HERMES_CORE_TOOLS and composite toolsets (hermes-cli,
hermes-messaging, safe), which meant it appeared in every session
for anyone with OPENROUTER_API_KEY set. The _DEFAULT_OFF_TOOLSETS
gate only works after running 'hermes tools' explicitly.

Now MoA only appears when a user explicitly enables it via
'hermes tools'. The moa toolset definition and check_fn remain
unchanged — it just needs to be opted into.
2026-04-07 03:28:44 -07:00
Teknium cafdfd3654 fix: sync bundled skills to default profile when updating from a named profile (#5795)
The filter in cmd_update() excluded is_default profiles from the
cross-profile skill sync loop. When running 'hermes update' from a
named profile (e.g. hermes -p coder update), the default profile
(~/.hermes) never received new bundled skills.

Remove the 'not p.is_default' condition so all profiles — including
default — are synced regardless of which profile runs the update.

Reported by olafgeibig.
2026-04-07 02:49:20 -07:00
Teknium e120d2afac feat: notify_on_complete for background processes (#5779)
* feat: notify_on_complete for background processes

When terminal(background=true, notify_on_complete=true), the system
auto-triggers a new agent turn when the process exits — no polling needed.

Changes:
- ProcessSession: add notify_on_complete field
- ProcessRegistry: add completion_queue, populate on _move_to_finished()
- Terminal tool: add notify_on_complete parameter to schema + handler
- CLI: drain completion_queue after agent turn AND during idle loop
- Gateway: enhanced _run_process_watcher injects synthetic MessageEvent
  on completion, triggering a full agent turn
- Checkpoint persistence includes notify_on_complete for crash recovery
- code_execution_tool: block notify_on_complete in sandbox scripts
- 15 new tests covering queue mechanics, checkpoint round-trip, schema

* docs: update terminal tool descriptions for notify_on_complete

- background: remove 'ONLY for servers' language, describe both patterns
  (long-lived processes AND long-running tasks with notify_on_complete)
- notify_on_complete: more prescriptive about when to use it
- TERMINAL_TOOL_DESCRIPTION: remove 'Do NOT use background for builds'
  guidance that contradicted the new feature
2026-04-07 02:40:16 -07:00
Ben 04aa3ac44f fix(browser-use): use X-Browser-Use-API-Key header for managed mode
The managed gateway expects X-Browser-Use-API-Key, not X-BB-API-Key
(which is a Browserbase-specific header). Using the wrong header caused
a 401 AUTH_ERROR on every managed-mode browser session create.

Simplified _headers() to always use X-Browser-Use-API-Key regardless
of direct vs managed mode.
2026-04-07 18:27:14 +10:00
Teknium 1c425f219e fix(cli): defer response content until reasoning block completes (#5773)
When show_reasoning is on with streaming, content tokens could arrive
while the reasoning box was still rendering (interleaved thinking mode).
This caused the response box to open before reasoning finished, resulting
in reasoning appearing after the response in the terminal.

Fix: buffer content in _deferred_content while _reasoning_box_opened is
True. Flush the buffer through _emit_stream_text when _close_reasoning_box
runs, ensuring reasoning always renders before the response.
2026-04-07 01:03:52 -07:00
Ben 3718a8de7c Merge branch 'main' into switch-managed-browser-to-browser-use 2026-04-07 18:00:13 +10:00
Teknium d9e7e42d0b fix(approval): load permanent command allowlist on startup (#5076)
Co-authored-by: Timo Karp <timo@timos-macbook-pro.taildbbd26.ts.net>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 01:00:02 -07:00
Ben Barclay 302240d3a6 Merge pull request #5745 from NousResearch/fix/portal-env-var-ignored-during-login
fix: HERMES_PORTAL_BASE_URL env var ignored during Nous login
2026-04-07 17:57:31 +10:00
Teknium eb7c408445 fix(gateway): /stop and /new bypass Level 1 active-session guard (#5765)
* fix(gateway): /stop and /new bypass Level 1 active-session guard

The base adapter's Level 1 guard intercepted ALL messages while an
agent was running, including /stop and /new. These commands were queued
as pending messages instead of being dispatched to the gateway runner's
Level 2 handler. When the agent eventually stopped (via the interrupt
mechanism), the command text leaked into the conversation as a user
message — the model would receive '/stop' as input and respond to it.

Fix: Add /stop, /new, and /reset to the bypass set in base.py alongside
/approve, /deny, and /status. Consolidate the three separate bypass
blocks into one. Commands in the bypass set are dispatched inline to the
gateway runner, where Level 2 handles them correctly (hard-kill for
/stop, session reset for /new).

Also add a safety net in _run_agent's pending-message processing: if the
pending text resolves to a known slash command, discard it instead of
passing it to the agent. This catches edge cases where command text
leaks through the interrupt_message fallback.

Refs: #5244

* test: regression tests for command bypass of active-session guard

17 tests covering:
- /stop, /new, /reset bypass the Level 1 guard when agent is running
- /approve, /deny, /status bypass (existing behavior, now tested)
- Regular text and unknown commands still queued (not bypassed)
- File paths like '/path/to/file' not treated as commands
- Telegram @botname suffix handled correctly
- Safety net command resolution (resolve_command detects known commands)
2026-04-07 00:53:45 -07:00
Yang Zhi 9e844160f9 fix(credential_pool): auto-detect Z.AI endpoint via probe and cache
The credential pool seeder and runtime credential resolver hardcoded
api.z.ai/api/paas/v4 for all Z.AI keys.  Keys on the Coding Plan (or CN
endpoint) would hit the wrong endpoint, causing 401/429 errors on the
first request even though a working endpoint exists.

Add _resolve_zai_base_url() that:
- Respects GLM_BASE_URL env var (no probe when explicitly set)
- Probes all candidate endpoints (global, cn, coding-global, coding-cn)
  via detect_zai_endpoint() to find one that returns HTTP 200
- Caches the detected endpoint in provider state (auth.json) keyed on
  a SHA-256 hash of the API key so subsequent starts skip the probe
- Falls back to the default URL if all probes fail

Wire into both _seed_from_env() in the credential pool and
resolve_api_key_provider_credentials() in the runtime resolver,
matching the pattern from the kimi-coding fix (PR #5566).

Fixes the same class of bug as #5561 but for the zai provider.
2026-04-07 00:00:08 -07:00
Teknium f609bf277d feat: update blogwatcher skill to JulienTant's fork (#5759)
Replace Hyaxia/blogwatcher with JulienTant/blogwatcher-cli fork which adds:
- Docker support with BLOGWATCHER_DB env var for persistent storage
- SQL injection prevention
- SSRF protection (blocks private IPs/metadata endpoints)
- HTML scraping fallback when RSS unavailable
- OPML import from Feedly/Inoreader/NewsBlur
- Category filtering for articles
- Direct binary downloads (no Go required)
- Migration guide from original blogwatcher

Binary name changed: blogwatcher -> blogwatcher-cli

Community contribution by Ao (JulienTant).
Closes discussion about Docker compatibility.
2026-04-06 23:59:26 -07:00
Ben 7c33338a7a fix: upgrade Browser Use provider to v3 API
- Base URL: api/v2 -> api/v3 (v2 is legacy)
- Unified all endpoints to use native Browser Use paths:
  - POST /browsers (create session, returns cdpUrl)
  - PATCH /browsers/{id} with {action: stop} (close session)
- Removed managed-mode branching that used Browserbase-style
  /v1/sessions paths — v3 gateway now supports /browsers directly
- Removed unused managed_mode variable in close_session
2026-04-07 16:41:32 +10:00
Ben 3e3a1e7624 chore: remove redundant Browser Use hint from system prompt 2026-04-07 16:14:12 +10:00
Teknium 3bc2fe802e feat(telegram): paginated model picker with Next/Prev navigation
- Raise max_models from 8 to 50 so all curated models come through
- Add _build_model_keyboard() helper with 8-per-page pagination
- Next ▶ / ◀ Prev buttons with page counter (e.g. 2/4)
- mg:<page> callback data for page navigation
- Catch-all query.answer() for noop buttons
2026-04-06 23:10:40 -07:00
Ben 6fb7ea1e39 feat: switch managed browser provider from Browserbase to Browser Use
The Nous subscription tool gateway now routes browser automation through
Browser Use instead of Browserbase. This commit:

- Adds managed Nous gateway support to BrowserUseProvider (idempotency
  keys, X-BB-API-Key auth header, external_call_id persistence)
- Removes managed gateway support from BrowserbaseProvider (now
  direct-only via BROWSERBASE_API_KEY/BROWSERBASE_PROJECT_ID)
- Updates browser_tool.py fallback: prefers Browser Use over Browserbase
- Updates nous_subscription.py: gateway vendor 'browser-use', auto-config
  sets cloud_provider='browser-use' for new subscribers
- Updates tools_config.py: Nous Subscription entry now uses Browser Use
- Updates setup.py, cli.py, status.py, prompt_builder.py display strings
- Updates all affected tests to match new behavior

Browserbase remains fully functional for users with direct API credentials.
The change only affects the managed/subscription path.
2026-04-07 16:09:24 +10:00
Teknium 2b79569a07 fix(discord): remove default selection from model picker provider dropdown
Discord doesn't fire the select callback when clicking an already-selected
default option (no change detected). This prevented users from selecting
the current provider to browse its models. The 'current' indicator is
already shown via the description field.
2026-04-06 23:06:33 -07:00
Teknium 8e64f795a1 fix: stale OAuth credentials block OpenRouter users on auto-detect (#5746)
When resolve_runtime_provider is called with requested='auto' and
auth.json has a stale active_provider (nous or openai-codex) whose
OAuth refresh token has been revoked, the AuthError now falls through
to the next provider in the chain (e.g. OpenRouter via env vars)
instead of propagating to the user as a blocking error.

When the user explicitly requested the OAuth provider, the error
still propagates so they know to re-authenticate.

Root cause: resolve_provider('auto') checks auth.json for an active
OAuth provider before checking env vars. get_nous_auth_status()
reports logged_in=True if any access_token exists (even expired),
so the Nous path is taken. resolve_nous_runtime_credentials() then
tries to refresh the token, fails with 'Refresh session has been
revoked', and the AuthError bubbles up to the CLI bold-red display.

Adds 3 tests: Nous fallthrough, Codex fallthrough, explicit-request
still raises.
2026-04-06 23:01:43 -07:00
Mateus Scheuer Macedo c706568993 fix(delegate): pass workspace path hints to child agents
Selectively cherry-picked from PR #5501 by MestreY0d4-Uninter.

- Add _resolve_workspace_hint() to detect parent's working directory
- Inject WORKSPACE PATH into child system prompts
- Add rule: never assume /workspace/ container paths
- Excludes the cli.py queue-busy-input changes from the original PR
2026-04-06 23:01:11 -07:00
Mateus Scheuer Macedo f2c11ff30c fix(delegate): share credential pools with subagents + per-task leasing
Cherry-picked from PR #5580 by MestreY0d4-Uninter.

- Share parent's credential pool with child agents for key rotation
- Leasing layer spreads parallel children across keys (least-loaded)
- Thread-safe acquire_lease/release_lease in CredentialPool
- Reverted sneaked-in tool-name restoration change (kept original
  getattr + isinstance guard pattern)
2026-04-06 23:01:11 -07:00
Teknium 8dee82ea1e fix: stream consumer creates new message after tool boundaries (#5739)
When streaming was enabled on the gateway, the stream consumer created a
single message at the start and kept editing it as tokens arrived. Tool
progress messages were sent as separate messages below it. Since edits
don't change message position on Telegram/Matrix/Discord, the final
response ended up stuck above all tool progress messages — users had to
scroll up past potentially dozens of tool call lines to read the answer.

The agent already sends stream_delta_callback(None) at tool boundaries
(before _execute_tool_calls). The stream consumer was ignoring this
signal. Now it treats None as a segment break: finalizes the current
message (removes cursor), resets _message_id, and the next text chunk
creates a fresh message below the tool progress messages.

Timeline before:
  [msg 1: 'Let me search...' → edits → 'Here is the answer'] ← top
  [msg 2: tool progress lines]                                ← bottom

Timeline after:
  [msg 1: 'Let me search...']          ← top
  [msg 2: tool progress lines]
  [msg 3: 'Here is the answer']        ← bottom (visible)

Reported by SkyLinx on Discord.
2026-04-06 23:00:14 -07:00
Teknium 5a2cf280a3 feat: interactive model picker for Telegram and Discord (#5742)
/model with no args now shows an interactive UI on Telegram and Discord
instead of a text list:

Telegram: Inline keyboard buttons — two-step drill-down.
  Step 1: Provider buttons with model counts (e.g. 'OpenRouter (15)')
  Step 2: Model buttons within the selected provider
  Edits the same message in-place as the user navigates.
  Back/Cancel buttons for navigation.

Discord: Embed + Select dropdown menus via discord.ui.View.
  Step 1: Provider dropdown with model counts
  Step 2: Model dropdown within the selected provider
  Back/Cancel buttons. Auth-gated to allowed users.

Platforms without picker support (Slack, WhatsApp, Signal, etc.)
fall back to the existing text list.

/model <name> continues to work as a direct text switch on all
platforms — the interactive picker is only for bare /model.

Implementation:
- TelegramAdapter.send_model_picker() + _handle_model_picker_callback()
  with compact callback_data (mp:/mm:/mb/mx, all within 64-byte limit)
- DiscordAdapter.send_model_picker() + ModelPickerView (discord.ui.View)
  with Select menus (up to 25 options per dropdown)
- GatewayRunner._handle_model_command() detects adapter capability via
  getattr(type(adapter), 'send_model_picker', None) (safe with mocks)
  and sends picker with async callback closure for the switch logic
- Callback performs full switch: switch_model(), cached agent update,
  session override, pending model note — same as /model <name>
2026-04-06 23:00:04 -07:00
Ben bff47eee48 fix: HERMES_PORTAL_BASE_URL env var ignored during Nous login
_login_nous() was passing pconfig.portal_base_url (hardcoded production
URL) as a fallback when no --portal-url CLI flag was given. This meant
_nous_device_code_login() received a truthy portal_base_url argument
and never reached the env var fallback chain.

Users setting HERMES_PORTAL_BASE_URL or NOUS_PORTAL_BASE_URL in .env
to point at a staging portal were silently ignored — login always went
to production.

Fix: pass None when no CLI flag is provided, letting the downstream
function properly check env vars before falling back to the default.

Fallback chain is now:
1. --portal-url CLI arg
2. HERMES_PORTAL_BASE_URL env var
3. NOUS_PORTAL_BASE_URL env var
4. DEFAULT_NOUS_PORTAL_URL (production)

Same fix applied to inference_base_url for consistency.
2026-04-07 15:48:16 +10:00
Teknium c7768137fa docs: add Supermemory to memory providers docs, env vars, CLI reference
- Add full Supermemory section to memory-providers.md with config table,
  tools, setup instructions, and key features
- Update provider count from 7 to 8 across memory.md and memory-providers.md
- Add SUPERMEMORY_API_KEY to environment-variables.md
- Add Supermemory to integrations/providers.md optional API keys table
- Add supermemory to cli-commands.md provider list
- Add Supermemory to profile isolation section (config file providers)
2026-04-06 22:15:58 -07:00
Teknium 88bba31b7d fix: use get_hermes_home() for profile-scoped storage, fix README
- Replace hardcoded os.path.expanduser('~/.hermes') with
  get_hermes_home() from hermes_constants for profile isolation
- Fix README echo command quoting error
2026-04-06 22:15:58 -07:00
Hermes Agent ac80d595cd chore(memory): remove supermemory PR scaffolding 2026-04-06 22:15:58 -07:00
Hermes Agent 4fc7f3eaa5 fix(memory): clean up supermemory provider threads 2026-04-06 22:15:58 -07:00
Hermes Agent dc333388ec docs(memory): add Supermemory PR draft and cleanup 2026-04-06 22:15:58 -07:00
Hermes Agent 76f19775c3 feat(memory): add Supermemory memory provider 2026-04-06 22:15:58 -07:00
Teknium 972482e28e docs: guides section overhaul — fix existing + add 3 new tutorials (#5735)
* docs: fix guides section — sidebar ordering, broken links, position conflicts

- Add local-llm-on-mac.md to sidebars.ts (was missing after salvage PR)
- Reorder sidebar: tips first, then local LLM guide, then tutorials
- Fix 10 broken links in team-telegram-assistant.md (missing /docs/ prefix)
- Fix relative link in migrate-from-openclaw.md
- Fix installation link pointing to learning-path instead of installation
- Renumber all sidebar_position values to eliminate conflicts and match
  the explicit sidebars.ts ordering

* docs: add 3 new guides — cron automation, skills, delegation

New tutorial-style guides covering core features:

- automate-with-cron.md (261 lines): 5 real-world patterns — website
  monitoring with scripts, weekly reports, GitHub watchers, data
  collection pipelines, multi-skill workflows. Covers [SILENT] trick,
  delivery targets, job management.

- work-with-skills.md (268 lines): End-to-end skill workflow — finding,
  installing from Hub, configuring, creating from scratch with reference
  files, per-platform management, skills vs memory comparison.

- delegation-patterns.md (239 lines): 5 patterns — parallel research,
  code review, alternative comparison, multi-file refactoring,
  gather-then-analyze (execute_code + delegate). Covers the context
  problem, toolset selection, constraints.

Added all three to sidebars.ts in the Guides & Tutorials section.
2026-04-06 22:02:47 -07:00
Teknium 888dc1e680 fix: harden auxiliary codex adapter — dict-shaped items + tool call guard (#5734)
Two remaining gaps from the codex empty-output spec:

1. Normalize dict-shaped streamed items: output_item.done events may
   yield dicts (raw/fallback paths) instead of SDK objects. The
   extraction loop now uses _item_get() that handles both getattr
   and dict .get() access.

2. Avoid plain-text synthesis when function_call events were streamed:
   tracks has_function_calls during streaming and skips text-delta
   synthesis when tool calls are present — prevents collapsing a
   tool-call response into a fake text message.
2026-04-06 21:35:33 -07:00
eizus 4ec615b0c2 feat(gateway): Enable Slack thread replies without explicit @mentions
When a user replies in a Slack thread where the bot has an active
conversation session, the bot now processes the message even without
an explicit @mention. This improves UX for ongoing threaded
discussions.

Changes:
- Added set_session_store() to BasePlatformAdapter for adapters to
  check active sessions
- Modified SlackAdapter to detect thread replies and check if a
  session exists for that thread before requiring @mentions
- Updated GatewayRunner to inject the session store into adapters
- Added comprehensive tests for the new behavior

Fixes: Thread replies without @jarvis are now processed if there is
an active session, matching user expectations for conversation flow
2026-04-06 21:27:16 -07:00
eizus 9b6e5f6a04 fix(gateway): Apply markdown-to-mrkdwn conversion in edit_message
The edit_message method was sending raw content directly to Slack's
chat_update API without converting standard markdown to Slack's mrkdwn
format. This caused broken formatting and malformed URLs (e.g., trailing
** from bold syntax became part of clickable links → 404 errors).

The send() method already calls format_message() to handle this conversion,
but edit_message() was bypassing it. This change ensures edited messages
receive the same markdown → mrkdwn transformation as new messages.

Closes: PR #5558 formatting issue where links had trailing markdown syntax.
2026-04-06 21:27:16 -07:00
Andrian 43cf68055b docs: fix signal-cli install instructions
signal-cli is not available via apt or snap. Replace the incorrect
'sudo apt install signal-cli' with the official install method:
downloading from GitHub releases (Linux) or brew (macOS).

Updated both signal.md docs and the gateway.py setup hint.

Inspired by PR #4225 (which proposed snap, also incorrect).
2026-04-06 21:26:03 -07:00
OmniWired 9ce8d59470 docs: add local LLM on Mac guide (llama.cpp + MLX)
Comprehensive guide covering:
- llama.cpp and MLX (omlx) setup on Apple Silicon
- Model selection and memory optimization (quantized KV cache)
- Real benchmarks on M5 Max comparing both backends
- Hermes connection instructions

Cherry-picked from PR #2590.
2026-04-06 21:26:03 -07:00
Jay Weeldreyer bccd7d098c docs: add post-update validation guidance
Adds a concise post-update validation checklist (git status, hermes
doctor, version check, gateway status). Adapted from PR #3050 with
corrections — removed inaccurate submodule claim (hermes update
already handles submodules) and tightened the checklist.

Cherry-picked and adapted from PR #3050.
2026-04-06 21:26:03 -07:00
Matthew Hardwick a23fcae943 docs: add 'setup' command to docker run example
The docker container needs the explicit 'setup' subcommand to launch
the setup wizard. Without it, the container starts in default mode.

Co-authored-by: Omar <omar2535@users.noreply.github.com>
Cherry-picked from PR #4896 (also submitted independently as PR #5532).
2026-04-06 21:26:03 -07:00
Teknium 21b48b2ff5 fix: backfill empty codex output in auxiliary client (#5730)
The _CodexCompletionsAdapter (used for compression, vision, web_extract,
session_search, and memory flush when on the codex provider) streamed
responses but discarded all events with 'for _event in stream: pass'.
When get_final_response() returned empty output (the same chatgpt.com
backend-api shape change), auxiliary calls silently returned None content.

Now collects response.output_item.done and text deltas during streaming
and backfills empty output — same pattern as _run_codex_stream().

Tested live against chatgpt.com/backend-api/codex with OAuth.
2026-04-06 21:13:22 -07:00
Teknium 2021442c8a fix: cover remaining codex empty-output gaps in fallback + normalizer (#5724)
Two gaps in the codex empty-output handling:

1. _run_codex_create_stream_fallback() skipped all non-terminal events,
   so when the fallback path was used and the terminal response had
   empty output, there was no recovery. Now collects output_item.done
   and text deltas during the fallback stream, backfills on empty output.

2. _normalize_codex_response() hard-crashed with RuntimeError when
   output was empty, even when the response had output_text set. The
   function already had fallback logic at line 3562 to use output_text,
   but the guard at line 3446 killed it first. Now checks output_text
   before raising and synthesizes a minimal output item.
2026-04-06 20:58:47 -07:00
Teknium 0e336b0e71 fix: backfill codex stream output from output_item.done events (#5689)
Salvages the core fix from PR #5673 (egerev) onto current main.

The chatgpt.com/backend-api/codex endpoint streams valid output items
via response.output_item.done events, but the OpenAI SDK's
get_final_response() returns an empty output list. This caused every
Codex response to be rejected as invalid.

Fix: collect output_item.done events during streaming and backfill
response.output when get_final_response() returns empty. Falls back
to synthesizing from text deltas when no done events were received.

Also moves the synthesis logic from the validation loop (too late, from
#5681) into _run_codex_stream() (before the response leaves the
streaming function), and simplifies the validation to just log
diagnostics since recovery now happens upstream.

Co-authored-by: Egor <egerev@users.noreply.github.com>
2026-04-06 18:19:30 -07:00
Grateful Dave e5aaa38ca7 fix: sync openai-codex pool entry from ~/.codex/auth.json on exhaustion (#5610)
OpenAI OAuth refresh tokens are single-use and rotate on every refresh.
When the Codex CLI (or another Hermes profile) refreshes its token, the
pool entry's refresh_token becomes stale. Subsequent refresh attempts
fail with invalid_grant, and the entry enters a 24-hour exhaustion
cooldown with no recovery path.

This mirrors the existing _sync_anthropic_entry_from_credentials_file()
pattern: when an openai-codex entry is exhausted, compare its
refresh_token against ~/.codex/auth.json and sync the fresh pair if
they differ.

Fixes the common scenario where users run 'codex login' to refresh
their token externally and Hermes never picks it up.

Co-authored-by: David Andrews (LexGenius.ai) <david@lexgenius.ai>
2026-04-06 18:16:56 -07:00
Teknium dc4c07ed9d fix: codex OAuth credential pool disconnect + expired token import (#5681)
Three bugs causing OpenAI Codex sessions to fail silently:

1. Credential pool vs legacy store disconnect: hermes auth and hermes
   model store device_code tokens in the credential pool, but
   get_codex_auth_status(), resolve_codex_runtime_credentials(), and
   _model_flow_openai_codex() only read from the legacy provider state.
   Fresh pool tokens were invisible to the auth status checks and model
   selection flow.

2. _import_codex_cli_tokens() imported expired tokens from ~/.codex/
   without checking JWT expiry. Combined with _login_openai_codex()
   saying 'Login successful!' for expired credentials, users got stuck
   in a loop of dead tokens being recycled.

3. _login_openai_codex() accepted expired tokens from
   resolve_codex_runtime_credentials() without validating expiry before
   telling the user login succeeded.

Fixes:
- get_codex_auth_status() now checks credential pool first, falls back
  to legacy provider state
- _model_flow_openai_codex() uses pool-aware auth status for token
  retrieval when fetching model lists
- _import_codex_cli_tokens() validates JWT exp claim, rejects expired
- _login_openai_codex() verifies resolved token isn't expiring before
  accepting existing credentials
- _run_codex_stream() logs response.incomplete/failed terminal events
  with status and incomplete_details for diagnostics
- Codex empty output recovery: captures streamed text during streaming
  and synthesizes a response when get_final_response() returns empty
  output (handles chatgpt.com backend-api edge cases)
2026-04-06 18:10:33 -07:00
Teknium 8cf013ecd9 fix: replace stale 'hermes login' refs with 'hermes auth' + fix credential removal re-seeding (#5670)
Two fixes:

1. Replace all stale 'hermes login' references with 'hermes auth' across
   auth.py, auxiliary_client.py, delegate_tool.py, config.py, run_agent.py,
   and documentation. The 'hermes login' command was deprecated; 'hermes auth'
   now handles OAuth credential management.

2. Fix credential removal not persisting for singleton-sourced credentials
   (device_code for openai-codex/nous, hermes_pkce for anthropic).
   auth_remove_command already cleared env vars for env-sourced credentials,
   but singleton credentials stored in the auth store were re-seeded by
   _seed_from_singletons() on the next load_pool() call. Now clears the
   underlying auth store entry when removing singleton-sourced credentials.
2026-04-06 17:17:57 -07:00
Teknium adb418fb53 fix: cross-platform browser test path separators
Use os.path.join for Windows install path so test passes on Linux
(os.path.join uses / on Linux, \ on Windows).
2026-04-06 16:54:16 -07:00
jtuki 57abc99315 feat(gateway): add per-group access control for Feishu
Add fine-grained authorization policies per Feishu group chat via
platforms.feishu.extra configuration.

- Add global bot-level admins that bypass all group restrictions
- Add per-group policies: open, allowlist, blacklist, admin_only, disabled
- Add default_group_policy fallback for chats without explicit rules
- Thread chat_id through group message gate for per-chat rule selection
- Match both open_id and user_id for backward compatibility
- Preserve existing FEISHU_ALLOWED_USERS / FEISHU_GROUP_POLICY behavior
- Add focused regression tests for all policy modes

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 16:54:16 -07:00
jtuki 18727ca9aa refactor(gateway): simplify Feishu websocket config helpers
Consolidate coercion functions, extract loop readiness check, and deduplicate test mock setup to improve maintainability without changing behavior.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 16:54:16 -07:00
jtuki 157d6184e3 fix(gateway): make Feishu websocket overrides effective at runtime
Reapply local reconnect and ping settings after the Feishu SDK refreshes its client config so user-provided websocket tuning actually takes effect.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 16:54:16 -07:00
jtuki ea31d9077c feat(gateway): add Feishu websocket ping timing overrides
Allow Feishu websocket keepalive timing to be configured via platform
extra config so disconnects can be detected faster in unstable networks.

New optional extra settings:
- ws_ping_interval
- ws_ping_timeout

These values are applied only when explicitly configured. Invalid values
fall back to the websocket library defaults by leaving the options unset.

This complements the reconnect timing settings added previously and helps
reduce total recovery time after network interruptions.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 16:54:16 -07:00
jtuki 7d0bf15121 feat(gateway): add configurable Feishu websocket reconnect timing
Allow users to configure websocket reconnect behavior via platform extra
config to reduce reconnect latency in production environments.

The official Feishu SDK defaults to:
- First reconnect: random jitter 0-30 seconds
- Subsequent retries: 120 second intervals

This can cause 20-30 second delays before reconnection after network
interruptions. This commit makes these values configurable while keeping
the SDK defaults for backward compatibility.

Configuration via ~/.hermes/config.yaml:
```yaml
platforms:
  feishu:
    extra:
      ws_reconnect_nonce: 0        # Disable first-reconnect jitter (default: 30)
      ws_reconnect_interval: 3     # Retry every 3 seconds (default: 120)
```

Invalid values (negative numbers, non-integers) fall back to SDK defaults.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 16:54:16 -07:00
jtuki 7cf4bd06bf fix(gateway): fix Feishu reconnect message drops and shutdown hang
This commit fixes two critical bugs in the Feishu adapter that affect
message reliability and process lifecycle.

**Bug Fix 1: Intermittent Message Drops**

Root cause: Event handler was created once in __init__ and reused across
reconnects, causing callbacks to capture stale loop references. When the
adapter disconnected and reconnected, old callbacks continued firing with
invalid loop references, resulting in dropped messages with warnings:
"[Feishu] Dropping inbound message before adapter loop is ready"

Fix:
- Rebuild event handler on each connect (websocket/webhook)
- Clear handler on disconnect
- Ensure callbacks always capture current valid loop
- Add defensive loop.is_closed() checks with getattr for test compatibility
- Unify webhook dispatch path to use same loop checks as websocket mode

**Bug Fix 2: Process Hangs on Ctrl+C / SIGTERM**

Root cause: Feishu SDK's websocket client runs in a background thread with
an infinite _select() loop that never exits naturally. The thread was never
properly joined on disconnect, causing processes to hang indefinitely after
Ctrl+C or gateway stop commands.

Fix:
- Store reference to thread-local event loop (_ws_thread_loop)
- On disconnect, cancel all tasks in thread loop and stop it gracefully
  via call_soon_threadsafe()
- Await thread future with 10s timeout
- Clean up pending tasks in thread's finally block before closing loop
- Add detailed debug logging for disconnect flow

**Additional Improvements:**
- Add regression tests for disconnect cleanup and webhook dispatch
- Ensure all event callbacks check loop readiness before dispatching

Tested on Linux with websocket mode. All Feishu tests pass.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-06 16:54:16 -07:00
Ruzzgar abd24d381b Implement comprehensive browser path discovery for Windows 2026-04-06 16:54:16 -07:00
Tianxiao 8a29b49036 fix(cli): handle CJK wide chars in TUI input height 2026-04-06 16:54:16 -07:00
kshitijk4poor 05f9267938 fix(matrix): hard-fail E2EE when python-olm missing + stable MATRIX_DEVICE_ID
Two issues caused Matrix E2EE to silently not work in encrypted rooms:

1. When matrix-nio is installed without the [e2e] extra (no python-olm /
   libolm), nio.crypto.ENCRYPTION_ENABLED is False and client.olm is
   never initialized. The adapter logged warnings but returned True from
   connect(), so the bot appeared online but could never decrypt messages.
   Now: check_matrix_requirements() and connect() both hard-fail with a
   clear error message when MATRIX_ENCRYPTION=true but E2EE deps are
   missing.

2. Without a stable device_id, the bot gets a new device identity on each
   restart. Other clients see it as "unknown device" and refuse to share
   Megolm session keys. Now: MATRIX_DEVICE_ID env var lets users pin a
   stable device identity that persists across restarts and is passed to
   nio.AsyncClient constructor + restore_login().

Changes:
- gateway/platforms/matrix.py: add _check_e2ee_deps(), hard-fail in
  connect() and check_matrix_requirements(), MATRIX_DEVICE_ID support
  in constructor + restore_login
- gateway/config.py: plumb MATRIX_DEVICE_ID into platform extras
- hermes_cli/config.py: add MATRIX_DEVICE_ID to OPTIONAL_ENV_VARS

Closes #3521
2026-04-06 16:54:16 -07:00
tymrtn 40527ff5e3 fix(auth): actionable error message when Codex refresh token is reused
When the Codex CLI (or VS Code extension) consumes a refresh token before
Hermes can use it, Hermes previously surfaced a generic 401 error with no
actionable guidance.

- In `refresh_codex_oauth_pure`: detect `refresh_token_reused` from the
  OAuth endpoint and raise an AuthError explaining the cause and the exact
  steps to recover (run `codex` to refresh, then `hermes login`).
- In `run_agent.py`: when provider is `openai-codex` and HTTP 401 is
  received, show Codex-specific recovery steps instead of the generic
  "check your API key" message.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 16:50:10 -07:00
Zainan Victor Zhou 190471fdc0 docs: use HERMES_HOME in google-workspace skill examples
- avoid hard-coded ~/.hermes paths in the setup and API shorthands
- prefer HERMES_HOME with a sane default to /Users/peteradams/.hermes
- keep the examples aligned with profile-aware Hermes installs
2026-04-06 16:50:07 -07:00
Zainan Victor Zhou 83df001d01 fix: allow google-workspace skill scripts to run directly
- fall back to adding the repo root to sys.path when hermes_constants is not importable
- fixes direct execution of setup.py and google_api.py from the repo checkout
- keeps the upstream PR scoped to the google-workspace compatibility fix
2026-04-06 16:50:07 -07:00
WAXLYY 1c0183ec71 fix(gateway): sanitize media URLs in base platform logs 2026-04-06 16:50:05 -07:00
KangYu b26e85bf9d Fix compaction summary retries for temperature-restricted models 2026-04-06 16:49:57 -07:00
charliekerfoot e9b5864b3f fix: multiple platform adaptors concurrency 2026-04-06 16:49:54 -07:00
WAXLYY c1818b7e9e fix(tools): redact query secrets in send_message errors 2026-04-06 16:49:52 -07:00
Neri Cervin f3ae2491a3 fix: detect correct message type from file mime instead of blanket DOCUMENT
Images need PHOTO for vision, audio needs VOICE for STT,
and other files get DOCUMENT for text inlining.
2026-04-06 16:49:45 -07:00
Neri Cervin 3282b7066c fix(mattermost): set message type to DOCUMENT when post has file attachments
The Mattermost adapter downloads file attachments correctly but
never updates msg_type from TEXT to DOCUMENT. This means the
document enrichment block in gateway/run.py (which requires
MessageType.DOCUMENT) never executes — text files are not
inlined, and the agent is never notified about attached files.

The user sends a file, the adapter downloads it to the local
cache, but the agent sees an empty message and responds with
'I didn't receive any file'.

Set msg_type to DOCUMENT when file_ids is non-empty, matching
the behavior of the Telegram and Discord adapters.
2026-04-06 16:49:45 -07:00
ryanautomated 0f9aa57069 fix: silent memory flush failure on /new and /resume commands
The _async_flush_memories() helper accepts (session_id) but both the
/new and /resume handlers passed two arguments (session_id, session_key).
The TypeError was silently swallowed at DEBUG level, so memory extraction
never ran when users typed /new or /resume.

One call site (the session expiry watcher) was already fixed in 9c96f669,
but /new and /resume were missed.

- gateway/run.py:3247 — remove stray session_key from /new handler
- gateway/run.py:4989 — remove stray session_key from /resume handler
- tests/gateway/test_resume_command.py:222 — update test assertion
2026-04-06 16:49:42 -07:00
Myeongwon Choi ea16949422 fix(cron): suppress delivery when [SILENT] appears anywhere in response
Previously the scheduler checked startswith('[SILENT]'), so agents that
appended [SILENT] after an explanation (e.g. 'N items filtered.\n\n[SILENT]')
would still trigger delivery.

Change the check to 'in' so the marker is caught regardless of position.
Add test_silent_trailing_suppresses_delivery to cover this case.
2026-04-06 16:49:40 -07:00
charliekerfoot 3b4dfc8e22 fix(tools): portable base64 encoding for image reading on macOS 2026-04-06 16:49:32 -07:00
KangYu 77610961be Lower Telegram fallback activation log to info 2026-04-06 16:49:30 -07:00
Simon Brumfield e131f13662 fix(doctor): use recall_mode instead of memory_mode on HonchoClientConfig 2026-04-06 16:49:27 -07:00
dagbs e7698521e7 fix(openviking): add atexit safety net for session commit
Ensures pending sessions are committed on process exit even if
shutdown_memory_provider is never called (gateway crash, SIGKILL,
or exception in _async_flush_memories preventing shutdown).

Also reorders on_session_end to wait for the pending sync thread
before checking turn_count, so the last turn's messages are flushed.

Based on PR #4919 by dagbs.
2026-04-06 16:45:53 -07:00
Teknium f071b1832a docs: document rich requires_env format and install-time prompting
Updates the plugin build guide and features page to reflect the
interactive env var prompting added in PR #5470. Documents the rich
manifest format (name/description/url/secret) alongside the simple
string format.
2026-04-06 16:43:42 -07:00
Nick 4f03b9a419 feat(webhook): add {__raw__} template token and thread_id passthrough for forum topics
- {__raw__} in webhook prompt templates dumps the full JSON payload (truncated at 4000 chars)
- _deliver_cross_platform now passes thread_id/message_thread_id from deliver_extra as metadata, enabling Telegram forum topic delivery
- Tests for both features
2026-04-06 16:42:52 -07:00
Teknium 631d159864 fix: use display_hermes_home() for profile-aware paths in plugin env prompts
Follow-up to PR #5470. Replaces hardcoded ~/.hermes/.env references with
display_hermes_home() for correct behavior under profiles. Also updates
PluginManifest.requires_env type hint to List[Union[str, Dict[str, Any]]]
to document the rich format introduced in #5470.
2026-04-06 16:40:15 -07:00
kshitijk4poor 9201370c7e feat(plugins): prompt for required env vars during hermes plugins install
Read requires_env from plugin.yaml after install and interactively
prompt for any missing environment variables, saving them to
~/.hermes/.env.

Supports two manifest formats:

  Simple (backwards-compatible):
    requires_env:
      - MY_API_KEY

  Rich (with metadata):
    requires_env:
      - name: MY_API_KEY
        description: "API key for Acme"
        url: "https://acme.com/keys"
        secret: true

Already-set variables are skipped. Empty input skips gracefully.
Secret values use getpass (hidden input). Ctrl+C aborts remaining
prompts without error.
2026-04-06 16:37:53 -07:00
Teknium 539629923c docs(llm-wiki): add Obsidian Headless setup for servers (#5660)
Adds obsidian-headless (npm) setup guide to the Obsidian Integration
section — Node 22+, ob login, sync-create-remote, sync-setup, systemd
service for continuous background sync. Covers the full headless
workflow for agents running on servers syncing to Obsidian desktop on
other devices.
2026-04-06 16:37:14 -07:00
Siddharth Balyan e651e04100 fix(nix): read version, regen uv.lock, fix packages.nix to add hermes_logging (#5651)
* - read version from pyproject for nix
- regen uv.lock
- add hermes_logging to packages.nix

* fix secret regen w/ sops
2026-04-07 04:21:19 +05:30
Siddharth Balyan 7b129636f0 feat(tools): add Firecrawl cloud browser provider (#5628)
* feat(tools): add Firecrawl cloud browser provider

Adds Firecrawl (https://firecrawl.dev) as a cloud browser provider
alongside Browserbase and Browser Use. All browser tools route through
Firecrawl's cloud browser via CDP when selected.

- tools/browser_providers/firecrawl.py — FirecrawlProvider
- tools/browser_tool.py — register in _PROVIDER_REGISTRY
- hermes_cli/tools_config.py — add to onboarding provider picker
- hermes_cli/setup.py — add to setup summary
- hermes_cli/config.py — add FIRECRAWL_BROWSER_TTL config
- website/docs/ — browser docs and env var reference

Based on #4490 by @developersdigest.

Co-Authored-By: Developers Digest <124798203+developersdigest@users.noreply.github.com>

* refactor: simplify FirecrawlProvider.emergency_cleanup

Use self._headers() and self._api_url() instead of duplicating
env-var reads and header construction.

* fix: recognize Firecrawl in subscription browser detection

_resolve_browser_feature_state() now handles "firecrawl" as a direct
browser provider (same pattern as "browser-use"), so hermes setup
summary correctly shows "Browser Automation (Firecrawl)" instead of
misreporting as "Local browser".

Also fixes test_config_version_unchanged assertion (11 → 12).

---------

Co-authored-by: Developers Digest <124798203+developersdigest@users.noreply.github.com>
2026-04-07 02:35:26 +05:30
Teknium 150f70f821 feat(skills): add skill config interface + llm-wiki skill (#5635)
Skills can now declare config.yaml settings via metadata.hermes.config
in their SKILL.md frontmatter. Values are stored under skills.config.*
namespace, prompted during hermes config migrate, shown in hermes config
show, and injected into the skill context at load time.

Also adds the llm-wiki skill (Karpathy's LLM Wiki pattern) as the first
skill to use the new config interface, declaring wiki.path.

Skill config interface (new):
- agent/skill_utils.py: extract_skill_config_vars(), discover_all_skill_config_vars(),
  resolve_skill_config_values(), SKILL_CONFIG_PREFIX
- agent/skill_commands.py: _inject_skill_config() injects resolved values
  into skill messages as [Skill config: ...] block
- hermes_cli/config.py: get_missing_skill_config_vars(), skill config
  prompting in migrate_config(), Skill Settings in show_config()

LLM Wiki skill (skills/research/llm-wiki/SKILL.md):
- Three-layer architecture (raw sources, wiki pages, schema)
- Three operations (ingest, query, lint)
- Session orientation, page thresholds, tag taxonomy, update policy,
  scaling guidance, log rotation, archiving workflow

Docs: creating-skills.md, configuration.md, skills.md, skills-catalog.md

Closes #5100
2026-04-06 13:49:13 -07:00
Mikita Lisavets 29b5ec2555 fix: clear session-scoped model after session reset 2026-04-06 13:20:01 -07:00
Mikita Lisavets 9afb9a6cb2 fix: clear session-scoped model overrides during session reset 2026-04-06 13:20:01 -07:00
donrhmexe 2c814d7b5d fix: /model --global writes model.name instead of model.default
The canonical config key for model name is model.default (used by setup,
auth, runtime_provider, profile list, and CLI startup). But /model --global
wrote to model.name in both gateway and CLI paths.

This caused:
- hermes profile list showing the old model (reads model.default)
- Gateway restart reverting to the old model (_resolve_gateway_model reads model.default)
- CLI startup using the old model (main.py reads model.default)

The only reason it appeared to work in Telegram was the cached agent
staying alive with the in-place switch.

Fix: change all 3 write/read sites to use model.default.
2026-04-06 13:20:01 -07:00
BongSuCHOI ad567c9a8f fix: subagent toolset inheritance when parent enabled_toolsets is None
When parent_agent.enabled_toolsets is None (the default, meaning all tools
are enabled), subagents incorrectly fell back to DEFAULT_TOOLSETS
(['terminal', 'file', 'web']) instead of inheriting the parent's full
toolset.

Root cause:
- Line 188 used 'or' fallback: None or DEFAULT_TOOLSETS evaluates to
  DEFAULT_TOOLSETS
- Line 192 checked truthiness: None is falsy, falling through to else

Fix:
- Use 'is not None' checks instead of truthiness
- When enabled_toolsets is None, derive effective toolsets from
  parent_agent.valid_tool_names via the tool registry

Fixes the bug introduced in f75b1d21b and repeated in e5d14445e (PR #3269).
2026-04-06 13:20:01 -07:00
donrhmexe ff655de481 fix: model alias fallback uses authenticated providers instead of hardcoded openrouter/nous
When an alias like 'claude' can't be resolved on the current provider,
_resolve_alias_fallback() tries other providers. Previously it hardcoded
('openrouter', 'nous') — so '/model claude' on z.ai would resolve to
openrouter even if the user doesn't have openrouter credentials but does
have anthropic.

Now the fallback uses the user's actual authenticated providers (detected
via list_authenticated_providers which is backed by the models.dev
in-memory cache). If no authenticated providers are found, falls back to
the old ('openrouter', 'nous') for backwards compatibility.

New helper: get_authenticated_provider_slugs() returns just the slug
strings from list_authenticated_providers().
2026-04-06 13:20:01 -07:00
Ayman Kamal 96f85b03cd fix: handle launchctl kickstart exit code 113 in launchd_start()
launchctl kickstart returns exit code 113 ("Could not find service") when
the plist exists but the job hasn't been bootstrapped into the runtime domain.
The existing recovery path only caught exit code 3 ("unloaded"), causing an
unhandled CalledProcessError.

Exit code 113 means the same thing practically -- the service definition needs
bootstrapping before it can be kicked. Add it to the same recovery path that
already handles exit 3, matching the existing pattern in launchd_stop().

Follow-up: add a unit test covering the 113 recovery path.
2026-04-06 13:20:01 -07:00
Dusk1e 1a2f109d8e Ensure atomic writes for gateway channel directory cache to prevent truncation 2026-04-06 13:20:01 -07:00
Mariano A. Nicolini af9a9f773c fix(security): sanitize workdir parameter in terminal tool backends
Shell injection via unquoted workdir interpolation in docker, singularity,
and SSH backends.  When workdir contained shell metacharacters (e.g.
~/;id), arbitrary commands could execute.

Changes:
- Add shlex.quote() at each interpolation point in docker.py,
  singularity.py, and ssh.py with tilde-aware quoting (keep ~
  unquoted for shell expansion, quote only the subpath)
- Add _validate_workdir() allowlist in terminal_tool.py as
  defense-in-depth before workdir reaches any backend

Original work by Mariano A. Nicolini (PR #5620).  Salvaged with fixes
for tilde expansion (shlex.quote breaks cd ~/path) and replaced
incomplete deny-list with strict character allowlist.

Co-authored-by: Mariano A. Nicolini <entropidelic@users.noreply.github.com>
2026-04-06 13:19:22 -07:00
Teknium 537a2b8bb8 docs: add WSL2 networking guide for local model servers (#5616)
Windows users running Hermes in WSL2 with model servers on the Windows
host hit 'connection refused' because WSL2's NAT networking means
localhost points to the VM, not Windows.

Covers:
- Mirrored networking mode (Win 11 22H2+) — makes localhost work
- NAT mode fallback using the host IP via ip route
- Per-server bind address table (Ollama, LM Studio, llama-server,
  vLLM, SGLang)
- Detailed Ollama Windows service config for OLLAMA_HOST
- Windows Firewall rules for WSL2 connections
- Quick verification steps
- Cross-reference from Troubleshooting section
2026-04-06 13:01:18 -07:00
Teknium 261e2ee862 fix: restore Path import in env_passthrough.py (removed by #5526)
The ContextVar migration removed 'from pathlib import Path' but Path
is still used in _load_config_passthrough(). Without this import,
config-based env passthrough would raise NameError.
2026-04-06 12:42:16 -07:00
Awsh1 878b1d3d33 fix(cron): harden scheduler against path traversal and env leaks
Cherry-picked from PR #5503 by Awsh1.

- Validate ALL script paths (absolute, relative, tilde) against scripts_dir boundary
- Add API-boundary validation in cronjob_tools.py
- Move os.environ injections inside try block so finally cleanup always runs
- Comprehensive regression tests for path containment bypass
2026-04-06 12:42:16 -07:00
Dusk1e 7d0953d6ff security(gateway): isolate env/credential registries using ContextVars 2026-04-06 12:42:16 -07:00
Teknium da02a4e283 fix: auxiliary client payment fallback — retry with next provider on 402 (#5599)
When a user runs out of OpenRouter credits and switches to Codex (or any
other provider), auxiliary tasks (compression, vision, web_extract) would
still try OpenRouter first and fail with 402.  Two fixes:

1. Payment fallback in call_llm(): When a resolved provider returns HTTP 402
   or a credit-related error, automatically retry with the next available
   provider in the auto-detection chain.  Skips the depleted provider and
   tries Nous → Custom → Codex → API-key providers.

2. Remove hardcoded OpenRouter fallback: The old code fell back specifically
   to OpenRouter when auto/custom resolution returned no client.  Now falls
   back to the full auto-detection chain, which handles any available
   provider — not just OpenRouter.

Also extracts _get_provider_chain() as a shared function (replaces inline
tuple in _resolve_auto and the new fallback), built at call time so test
patches on _try_* functions remain visible.

Adds 16 tests covering _is_payment_error(), _get_provider_chain(),
_try_payment_fallback(), and call_llm() integration with 402 retry.
2026-04-06 12:41:40 -07:00
Teknium 8ffd44a6f9 feat(discord): register skills as native slash commands via shared gateway logic (#5603)
Centralize the skill → slash command registration that Telegram already had
in commands.py so Discord uses the exact same priority system, filtering,
and cap enforcement:

  1. Core/built-in commands (never trimmed)
  2. Plugin commands (never trimmed)
  3. Skill commands (fill remaining slots, alphabetical, only tier trimmed)

Changes:

hermes_cli/commands.py:
  - Rename _TG_NAME_LIMIT → _CMD_NAME_LIMIT (32 chars shared by both platforms)
  - Rename _clamp_telegram_names → _clamp_command_names (generic)
  - Extract _collect_gateway_skill_entries() — shared plugin + skill
    collection with platform filtering, name sanitization, description
    truncation, and cap enforcement
  - Refactor telegram_menu_commands() to use the shared helper
  - Add discord_skill_commands() that returns (name, desc, cmd_key) triples
  - Preserve _sanitize_telegram_name() for Telegram-specific name cleaning

gateway/platforms/discord.py:
  - Call discord_skill_commands() from _register_slash_commands()
  - Create app_commands.Command per skill entry with cmd_key callback
  - Respect 100-command global Discord limit
  - Log warning when skills are skipped due to cap

Backward-compat aliases preserved for _TG_NAME_LIMIT and
_clamp_telegram_names.

Tests: 9 new tests (7 Discord + 2 backward-compat), 98 total pass.

Inspired by PR #5498 (sprmn24). Closes #5480.
2026-04-06 12:09:36 -07:00
Julien Talbot 92c19924a9 feat: add xAI prompt caching via x-grok-conv-id header
When using xAI's API directly (base_url contains x.ai), send the
x-grok-conv-id header set to the Hermes session_id. This routes
consecutive requests to the same server, maximizing automatic
prompt cache hits.

Ref: https://docs.x.ai/developers/advanced-api-usage/prompt-caching
2026-04-06 12:06:33 -07:00
SHL0MS 0afa3a87d4 Merge pull request #5600 from SHL0MS/feat/p5js-skill
feat(skills): add p5js creative coding skill
2026-04-06 14:52:27 -04:00
Teknium 3d08a2fa1b fix: extract MEDIA: tags from cron delivery before sending (#5598)
The cron scheduler delivery path passed raw text including MEDIA: tags
to _send_to_platform(), so media attachments were delivered as literal
text instead of actual files. The send function already supports
media_files= but the cron path never used it.

Now calls BasePlatformAdapter.extract_media() to split media paths
from text before sending, matching the gateway's normal message flow.

Salvaged from PR #4877 by robert-hoffmann.
2026-04-06 11:42:44 -07:00
kshitijk4poor 5e88eb2ba0 fix(signal): implement send_image_file, send_voice, and send_video for MEDIA: tag delivery
The Signal adapter inherited base class defaults for send_image_file(),
send_voice(), and send_video() which only sent the file path as text
(e.g. '🖼️ Image: /tmp/chart.png') instead of actually delivering the file
as a Signal attachment.

When agent responses contain MEDIA:/path/to/file tags, the gateway
media pipeline extracts them and routes through these methods by file
type. Without proper overrides, image/audio/video files were never
actually delivered to Signal users.

Extract a shared _send_attachment() helper that handles all file
validation, size checking, group/DM routing, and RPC dispatch. The four
public methods (send_document, send_image_file, send_voice, send_video)
now delegate to this helper, following the same pattern used by WhatsApp
(_send_media_to_bridge) and Discord (_send_file_attachment).

The helper also uses a single stat() call with try/except FileNotFoundError
instead of the previous exists() + stat() two-syscall pattern, eliminating
a TOCTOU race. As a bonus, send_document() now gains the 100MB size check
that was previously missing (inconsistency with send_image).

Add 25 tests covering all methods plus MEDIA: tag extraction integration,
method-override guards, and send_document's new size check.

Fixes #5105
2026-04-06 11:41:34 -07:00
SHL0MS 17e2a27c51 feat(skills): add p5js creative coding skill
Production pipeline for interactive and generative visual art using p5.js.

Covers 7 modes: generative art, data visualization, interactive experiences,
animation/motion graphics, 3D scenes, image processing, and audio-reactive.

Includes:
- SKILL.md with creative standard, pipeline, and critical implementation notes
- 10 reference files covering core API, shapes, visual effects (noise, flow
  fields, particles, domain warp, attractors, L-systems, circle packing,
  bloom, reaction-diffusion), animation (easing, springs, state machines,
  scene transitions), typography, color systems, WebGL/3D/shaders,
  interaction, and comprehensive export pipeline
- Deterministic headless frame capture via Puppeteer (noLoop + redraw)
- ffmpeg render pipeline for MP4 video export
- Per-clip architecture for multi-scene video production
- Interactive viewer template with seed navigation and parameter controls
- Performance guidance: FES disable, Math.* hot loops, per-pixel budgets
- Addon library coverage: p5.brush, p5.grain, CCapture.js, p5.js-svg
- fxhash/Art Blocks generative platform conventions
- p5.js 2.0 migration guide (async setup, OKLCH, splineVertex, shader.modify)
- 13 documented common mistakes and troubleshooting patterns

17 files, ~5,900 lines.
2026-04-06 14:39:00 -04:00
kshitijk4poor 214e60c951 fix: sanitize Telegram command names to strip invalid characters
Telegram Bot API requires command names to contain only lowercase a-z,
digits 0-9, and underscores. Skill/plugin names containing characters
like +, /, @, or . caused set_my_commands to fail with
Bot_command_invalid.

Two-layer fix:
- scan_skill_commands(): strip non-alphanumeric/non-hyphen chars from
  cmd_key at source, collapse consecutive hyphens, trim edges, skip
  names that sanitize to empty string
- _sanitize_telegram_name(): centralized helper used by all 3 Telegram
  name generation sites (core commands, plugin commands, skill commands)
  with empty-name guard at each call site

Closes #5534
2026-04-06 11:27:28 -07:00
ClintonEmok f77be22c65 Fix #5211: Preserve dots in OpenCode Go model names
OpenCode Go model names with dots (minimax-m2.7, glm-4.5, kimi-k2.5)
were being mangled to hyphens (minimax-m2-7), causing HTTP 401 errors.

Two code paths were affected:
1. model_normalize.py: opencode-go was incorrectly in DOT_TO_HYPHEN_PROVIDERS
2. run_agent.py: _anthropic_preserve_dots() did not check for opencode-go

Fix:
- Remove opencode-go from _DOT_TO_HYPHEN_PROVIDERS (dots are correct for Go)
- Add opencode-go to _anthropic_preserve_dots() provider check
- Add opencode.ai/zen/go to base_url fallback check
- Add regression tests in tests/test_model_normalize.py

Co-authored-by: jacob3712 <jacob3712@users.noreply.github.com>
2026-04-06 11:25:06 -07:00
Teknium 582dbbbbf7 feat: add grok to TOOL_USE_ENFORCEMENT_MODELS for direct xAI usage (#5595)
Grok models (x-ai/grok-4.20-beta, grok-code-fast-1) now receive tool-use
enforcement guidance, steering them to actually call tools instead of
describing intended actions. Matches both OpenRouter (x-ai/grok-*) and
direct xAI API usage.
2026-04-06 11:22:07 -07:00
SHL0MS 0bac07ded3 Merge pull request #5588 from SHL0MS/feat/manim-skill-deep-expansion
docs(manim-video): add 5 new reference files — design thinking, updaters, paper explainer, decorations, production quality
2026-04-06 13:58:00 -04:00
SHL0MS a912cd4568 docs(manim-video): add 5 new reference files — design thinking, updaters, paper explainer, decorations, production quality
Five new reference files expanding the skill from rendering knowledge
into production methodology:

animation-design-thinking.md (161 lines):
  When to animate vs show static, concept decomposition into visual
  beats, pacing rules, narration sync, equation reveal strategies,
  architecture diagram patterns, common design mistakes.

updaters-and-trackers.md (260 lines):
  Deep ValueTracker mental model, lambda/time-based/always_redraw
  updaters, DecimalNumber and Variable live displays, animation-based
  updaters, 4 complete practical patterns (dot tracing, live area,
  connected diagram, parameter exploration).

paper-explainer.md (255 lines):
  Full workflow for turning research papers into animations. Audience
  selection, 5-minute template, pre-code gates (narration, scene list,
  style contract), equation reveal strategies, architecture diagram
  building, results animation, domain-specific patterns for ML/physics/
  biomedical papers.

decorations.md (202 lines):
  SurroundingRectangle, BackgroundRectangle, Brace, arrows (straight,
  curved, labeled), DashedLine, Angle/RightAngle, Cross, Underline,
  color highlighting workflows, annotation lifecycle pattern.

production-quality.md (190 lines):
  Pre-code, pre-render, post-render checklists. Text overlap prevention,
  spatial layout coordinate budget, max simultaneous elements, animation
  variety audit, tempo curve, color consistency, data viz minimums.

Total skill now: 14 reference files, 2614 lines.
2026-04-06 13:51:36 -04:00
Teknium cc7136b1ac fix: update Gemini model catalog + wire models.dev as live model source
Follow-up for salvaged PR #5494:
- Update model catalog to Gemini 3.x + Gemma 4 (drop deprecated 2.0)
- Add list_agentic_models() to models_dev.py with noise filter
- Wire models.dev into _model_flow_api_key_provider as primary source
  (static curated list serves as offline fallback)
- Add gemini -> google mapping in PROVIDER_TO_MODELS_DEV
- Fix Gemma 4 context lengths to 256K (models.dev values)
- Update auxiliary model to gemini-3-flash-preview
- Expand tests: 3.x catalog, context lengths, models.dev integration
2026-04-06 10:28:03 -07:00
Teknium 6dfab35501 feat(providers): add Google AI Studio (Gemini) as a first-class provider
Cherry-picked from PR #5494 by kshitijk4poor.
Adds native Gemini support via Google's OpenAI-compatible endpoint.
Zero new dependencies.
2026-04-06 10:28:03 -07:00
SHL0MS 85973e0082 fix(nous): don't use OAuth access_token as inference API key
When agent_key is missing from auth state (expired, not yet minted,
or mint failed silently), the fallback chain fell through to
access_token — an OAuth bearer token for the Nous portal API, not
an inference credential. The Nous inference API returns 404 because
the OAuth token is not a valid inference key.

Remove the access_token fallback so an empty agent_key correctly
triggers resolve_nous_runtime_credentials() to mint a fresh key.

Closes #5562
2026-04-06 10:04:02 -07:00
Austin Pickett eceb89b824 Merge pull request #4664 from NousResearch/fix/various-qa
fix: re-order providers, Quick Install
2026-04-06 08:35:34 -07:00
Austin Pickett 79aeaa97e6 fix: re-order providers,Quick Install, subscription polling 2026-04-06 11:16:07 -04:00
Teknium 6f1cb46df9 fix: register /queue, /background, /btw as native Discord slash commands (#5477)
These commands were defined in the central command registry and handled
by the gateway runner, but not registered as native Discord slash commands
via @tree.command(). This meant they didn't appear in Discord's slash
command picker UI.

Reported by community user — /queue worked on Telegram but not Discord.
2026-04-06 02:05:27 -07:00
Teknium 5747590770 fix: follow-up improvements for salvaged PR #5456
- SQLite write queue: thread-local connection pooling instead of
  creating+closing a new connection per operation
- Prefetch threads: join previous batch before spawning new ones to
  prevent thread accumulation on rapid queue_prefetch() calls
- Shutdown: join prefetch threads before stopping write queue
- Add 73 tests covering _Client HTTP payloads, _WriteQueue crash
  recovery & connection reuse, _build_overlay deduplication,
  RetainDBMemoryProvider lifecycle/tools/prefetch/hooks, thread
  accumulation guard, and reasoning_level heuristic
2026-04-06 02:00:55 -07:00
Alinxus ea8ec27023 fix(retaindb): make project optional, default to 'default' project 2026-04-06 02:00:55 -07:00
Alinxus 6df4860271 fix(retaindb): fix API routes, add write queue, dialectic, agent model, file tools
The previous implementation hit endpoints that do not exist on the RetainDB
API (/v1/recall, /v1/ingest, /v1/remember, /v1/search, /v1/profile/:p/:u).
Every operation was silently failing with 404. This rewrites the plugin against
the real API surface and adds several new capabilities.

API route fixes:
- Context query: POST /v1/context/query (was /v1/recall)
- Session ingest: POST /v1/memory/ingest/session (was /v1/ingest)
- Memory write: POST /v1/memory with legacy fallback to /v1/memories (was /v1/remember)
- Memory search: POST /v1/memory/search (was /v1/search)
- User profile: GET /v1/memory/profile/:userId (was /v1/profile/:project/:userId)
- Memory delete: DELETE /v1/memory/:id with fallback (was /v1/memory/:id, wrong base)

Durable write-behind queue:
- SQLite spool at ~/.hermes/retaindb_queue.db
- Turn ingest is fully async — zero blocking on the hot path
- Pending rows replay automatically on restart after a crash
- Per-row error marking with retry backoff

Background prefetch (fires at turn-end, ready for next turn-start):
- Context: profile + semantic query, deduped overlay block
- Dialectic synthesis: LLM-powered synthesis of what is known about the
  user for the current query, with dynamic reasoning level based on
  message length (low / medium / high)
- Agent self-model: persona, persistent instructions, working style
  derived from AGENT-scoped memories
- All three run in parallel daemon threads, consumed atomically at
  turn-start within the prefetch timeout budget

Agent identity seeding:
- SOUL.md content ingested as AGENT-scoped memories on startup
- Enables persistent cross-session agent self-knowledge

Shared file store tools (new):
- retaindb_upload_file: upload local file, optional auto-ingest
- retaindb_list_files: directory listing with prefix filter
- retaindb_read_file: fetch and decode text content
- retaindb_ingest_file: chunk + embed + extract memories from stored file
- retaindb_delete_file: soft delete

Built-in memory mirror:
- on_memory_write() now hits the correct write endpoint
2026-04-06 02:00:55 -07:00
MestreY0d4-Uninter 6c12999b8c fix: bridge tool-calls in copilot-acp adapter
Enable Hermes tool execution through the copilot-acp adapter by:
- Passing tool schemas and tool_choice into the ACP prompt text
- Instructing ACP backend to emit <tool_call>{...}</tool_call> blocks
- Parsing XML tool-call blocks and bare JSON fallback back into
  Hermes-compatible SimpleNamespace tool call objects
- Setting finish_reason='tool_calls' when tool calls are extracted
- Cleaning tool-call markup from response text

Fix duplicate tool call extraction when both XML block and bare JSON
regexes matched the same content (XML blocks now take precedence).

Cherry-picked from PR #4536 by MestreY0d4-Uninter. Stripped heuristic
fallback system (auto-synthesized tool calls from prose) and
Portuguese-language patterns — tool execution should be model-decided,
not heuristic-guessed.
2026-04-06 01:47:57 -07:00
kshitijk4poor d3d5b895f6 refactor: simplify _get_service_pids — dedupe systemd scopes, fix self-import, harden launchd parsing
- Loop over user/system scope args instead of duplicating the systemd block
- Call get_launchd_label() directly instead of self-importing from hermes_cli.gateway
- Validate launchd output by checking parts[2] matches expected label (skip header)
- Add race-condition assumption docstring
2026-04-06 00:09:06 -07:00
kshitijk4poor a2a9ad7431 fix: hermes update kills freshly-restarted gateway service
After restarting a service-managed gateway (systemd/launchd), the
stale-process sweep calls find_gateway_pids() which returns ALL gateway
PIDs via ps aux — including the one just spawned by the service manager.
The sweep kills it, leaving the user with a stopped gateway and a
confusing 'Restart manually' message.

Fix: add _get_service_pids() to query systemd MainPID and launchd PID
for active gateway services, then exclude those PIDs from the sweep.
Also add exclude_pids parameter to find_gateway_pids() and
kill_gateway_processes() so callers can skip known service-managed PIDs.

Adds 9 targeted tests covering:
- _get_service_pids() for systemd, launchd, empty, and zero-PID cases
- find_gateway_pids() exclude_pids filtering
- cmd_update integration: service PID not killed after restart
- cmd_update integration: manual PID killed while service PID preserved
2026-04-06 00:09:06 -07:00
Teknium 9c96f669a1 feat: centralized logging, instrumentation, hermes logs CLI, gateway noise fix (#5430)
Adds comprehensive logging infrastructure to Hermes Agent across 4 phases:

**Phase 1 — Centralized logging**
- New hermes_logging.py with idempotent setup_logging() used by CLI, gateway, and cron
- agent.log (INFO+) and errors.log (WARNING+) with RotatingFileHandler + RedactingFormatter
- config.yaml logging: section (level, max_size_mb, backup_count)
- All entry points wired (cli.py, main.py, gateway/run.py, run_agent.py)
- Fixed debug_helpers.py writing to ./logs/ instead of ~/.hermes/logs/

**Phase 2 — Event instrumentation**
- API calls: model, provider, tokens, latency, cache hit %
- Tool execution: name, duration, result size (both sequential + concurrent)
- Session lifecycle: turn start (session/model/provider/platform), compression (before/after)
- Credential pool: rotation events, exhaustion tracking

**Phase 3 — hermes logs CLI command**
- hermes logs / hermes logs -f / hermes logs errors / hermes logs gateway
- --level, --session, --since filters
- hermes logs list (file sizes + ages)

**Phase 4 — Gateway bug fix + noise reduction**
- fix: _async_flush_memories() called with wrong arg count — sessions never flushed
- Batched session expiry logs: 6 lines/cycle → 2 summary lines
- Added inbound message + response time logging

75 new tests, zero regressions on the full suite.
2026-04-06 00:08:20 -07:00
Teknium 89db3aeb2c fix(cron): add delivery guidance to cron prompt — stop send_message thrashing (#5444)
Cron agents were burning iterations trying to use send_message (which is
disabled via messaging toolset) because their prompts said things like
'send the report to Telegram'. The scheduler handles delivery
automatically via the deliver setting, but nothing told the agent that.

Add a delivery guidance hint to _build_job_prompt alongside the existing
[SILENT] hint: tells agents their final response is auto-delivered and
they should NOT use send_message.

Before: only [SILENT] suppression hint
After: delivery guidance ('do NOT use send_message') + [SILENT] hint
2026-04-05 23:58:45 -07:00
Teknium d6ef7fdf92 fix(cron): replace wall-clock timeout with inactivity-based timeout (#5440)
Port the gateway's inactivity-based timeout pattern (PR #5389) to the
cron scheduler. The agent can now run for hours if it's actively calling
tools or receiving stream tokens — only genuine inactivity (no activity
for HERMES_CRON_TIMEOUT seconds, default 600s) triggers a timeout.

This fixes the Sunday PR scouts (openclaw, nanoclaw, ironclaw) which
all hit the hard 600s wall-clock limit while actively working.

Changes:
- Replace flat future.result(timeout=N) with a polling loop that checks
  agent.get_activity_summary() every 5s (same pattern as gateway)
- Timeout error now includes diagnostic info: last activity description,
  idle duration, current tool, iteration count
- HERMES_CRON_TIMEOUT=0 means unlimited (no timeout)
- Move sys.path.insert before repo-level imports to fix
  ModuleNotFoundError for hermes_time on stale gateway processes
- Add time import needed by the polling loop
- Add 9 tests covering active/idle/unlimited/env-var/diagnostic scenarios
2026-04-05 23:49:42 -07:00
Teknium dc9c3cac87 chore: remove redundant local import of normalize_usage
Already imported at module level (line 94). The local import inside
_usage_summary_for_api_request_hook was unnecessary.
2026-04-05 23:31:29 -07:00
kshitijk4poor 38bcaa1e86 chore: remove langfuse doc, smoketest script, and installed-plugin test
Made-with: Cursor
2026-04-05 23:31:29 -07:00
kshitijk4poor f530ef1835 feat(plugins): pre_api_request/post_api_request with narrow payloads
- Rename per-LLM-call hooks from pre_llm_request/post_llm_request for clarity vs pre_llm_call
- Emit summary kwargs only (counts, usage dict from normalize_usage); keep env_var_enabled for HERMES_DUMP_REQUESTS
- Add is_truthy_value/env_var_enabled to utils; wire hermes_cli.plugins._env_enabled through it
- Update Langfuse local setup doc; add scripts/langfuse_smoketest.py and optional ~/.hermes plugin tests

Made-with: Cursor
2026-04-05 23:31:29 -07:00
kshitijk4poor 9e820dda37 Add request-scoped plugin lifecycle hooks 2026-04-05 23:31:29 -07:00
Teknium dce5f51c7c feat: config structure validation — detect malformed YAML at startup (#5426)
Add validate_config_structure() that catches common config.yaml mistakes:
- custom_providers as dict instead of list (missing '-' in YAML)
- fallback_model accidentally nested inside another section
- custom_providers entries missing required fields (name, base_url)
- Missing model section when custom_providers is configured
- Root-level keys that look like misplaced custom_providers fields

Surface these diagnostics at three levels:
1. Startup: print_config_warnings() runs at CLI and gateway module load,
   so users see issues before hitting cryptic errors
2. Error time: 'Unknown provider' errors in auth.py and model_switch.py
   now include config diagnostics with fix suggestions
3. Doctor: 'hermes doctor' shows a Config Structure section with all
   issues and fix hints

Also adds a warning log in runtime_provider.py when custom_providers
is a dict (previously returned None silently).

Motivated by a Discord user who had malformed custom_providers YAML
and got only 'Unknown Provider' with no guidance on what was wrong.

17 new tests covering all validation paths.
2026-04-05 23:31:20 -07:00
Teknium 9ca954a274 fix: mem0 API v2 compat, prefetch context fencing, secret redaction (#5423)
Consolidated salvage from PRs #5301 (qaqcvc), #5339 (lance0),
#5058 and #5098 (maymuneth).

Mem0 API v2 compatibility (#5301):
- All reads use filters={user_id: ...} instead of bare user_id= kwarg
- All writes use filters with user_id + agent_id for attribution
- Response unwrapping for v2 dict format {results: [...]}
- Split _read_filters() vs _write_filters() — reads are user-scoped
  only for cross-session recall, writes include agent_id
- Preserved 'hermes-user' default (no breaking change for existing users)
- Omitted run_id scoping from #5301 — cross-session memory is Mem0's
  core value, session-scoping reads would defeat that purpose

Memory prefetch context fencing (#5339):
- Wraps prefetched memory in <memory-context> fenced blocks with system
  note marking content as recalled context, NOT user input
- Sanitizes provider output to strip fence-escape sequences, preventing
  injection where memory content breaks out of the fence
- API-call-time only — never persisted to session history

Secret redaction (#5058, #5098):
- Added prefix patterns for Groq (gsk_), Matrix (syt_), RetainDB
  (retaindb_), Hindsight (hsk-), Mem0 (mem0_), ByteRover (brv_)
2026-04-05 22:43:33 -07:00
Teknium 786970925e fix(cli): add missing subprocess.run() timeouts in gateway CLI (#5424)
All 35 subprocess.run() calls in hermes_cli/gateway.py lacked timeout
parameters. If systemctl, launchctl, loginctl, wmic, or ps blocks,
hermes gateway start/stop/restart/status/install/uninstall hangs
indefinitely with no feedback.

Timeouts tiered by operation type:
- 10s: instant queries (is-active, status, list, ps, tail, journalctl)
- 30s: fast lifecycle (daemon-reload, enable, start, bootstrap, kickstart)
- 90s: graceful shutdown (stop, restart, bootout, kickstart -k) — exceeds
  our TimeoutStopSec=60 to avoid premature timeout during shutdown

Special handling: _is_service_running() and launchd_status() catch
TimeoutExpired and treat it as not-running/not-loaded, consistent with
how non-zero return codes are already handled.

Inspired by PR #3732 (dlkakbs) and issue #4057 (SHL0MS).
Reimplemented on current main which has significantly changed launchctl
handling (bootout/bootstrap/kickstart vs legacy load/unload/start/stop).
2026-04-05 22:41:42 -07:00
Teknium ab086a320b chore: remove qwen-3.6 free from nous portal model list 2026-04-05 22:40:34 -07:00
Teknium aa56df090f fix: allow env var overrides for Nous portal/inference URLs (#5419)
The _login_nous() call site was pre-filling portal_base_url,
inference_base_url, client_id, and scope with pconfig defaults before
passing them to _nous_device_code_login(). Since pconfig defaults are
always truthy, the env var checks inside the function (HERMES_PORTAL_BASE_URL,
NOUS_PORTAL_BASE_URL, NOUS_INFERENCE_BASE_URL) could never take effect.

Fix: pass None from the call site when no CLI flag is provided, letting
the function's own priority chain handle defaults correctly:
explicit CLI flag > env var > pconfig default.

Addresses the issue reported in PR #5397 by jquesnelle.
2026-04-05 22:33:24 -07:00
SHL0MS 033e971140 Merge pull request #5421 from NousResearch/fix/research-paper-writing-gaps
feat(research-paper-writing): fill coverage gaps, integrate AI-Scientist & GPT-Researcher patterns
2026-04-06 01:13:49 -04:00
SHL0MS 95a044a2e0 feat(research-paper-writing): fill coverage gaps and integrate patterns from AI-Scientist, GPT-Researcher
Fix duplicate step numbers (5.3, 7.3) and missing 7.5. Add coverage for
human evaluation, theory/survey/benchmark/position papers, ethics/broader
impact, arXiv strategy, code packaging, negative results, workshop papers,
multi-author coordination, compute budgeting, and post-acceptance
deliverables. Integrate ensemble reviewing with meta-reviewer and negative
bias, pre-compilation validation pipeline, experiment journal with tree
structure, breadth/depth literature search, context management for large
projects, two-pass refinement, VLM visual review, and claim verification.

New references: human-evaluation.md, paper-types.md.
2026-04-06 01:12:32 -04:00
Teknium 38d8446011 feat: implement MCP OAuth 2.1 PKCE client support (#5420)
Implement tools/mcp_oauth.py — the OAuth adapter that mcp_tool.py's
existing auth: oauth hook has been waiting for.

Components:
- HermesTokenStorage: persists tokens + client registration to
  HERMES_HOME/mcp-tokens/<server>.json with 0o600 permissions
- Callback handler factory: per-flow isolated HTTP handlers (safe for
  concurrent OAuth flows across multiple MCP servers)
- OAuthClientProvider integration: wraps the MCP SDK's httpx.Auth
  subclass which handles discovery, DCR, PKCE, token exchange,
  refresh, and step-up auth (403 insufficient_scope) automatically
- Non-interactive detection: warns when gateway/cron environments
  try to OAuth without cached tokens
- Pre-registered client support: injects client_id/secret from config
  for servers that don't support Dynamic Client Registration (e.g. Slack)
- Path traversal protection on server names
- remove_oauth_tokens() for cleanup

Config format:
  mcp_servers:
    sentry:
      url: 'https://mcp.sentry.dev/mcp'
      auth: oauth
      oauth:                          # all optional
        client_id: '...'              # skip DCR
        client_secret: '...'          # confidential client
        scope: 'read write'           # server-provided by default

Also passes oauth config dict through from mcp_tool.py (was passing
only server_name and url before).

E2E verified: full OAuth flow (401 → discovery → DCR → authorize →
token exchange → authenticated request → tokens persisted) against
local test servers. 23 unit tests + 186 MCP suite tests pass.
2026-04-05 22:08:00 -07:00
emozilla 3962bc84b7 show cache pricing as well (if supported) 2026-04-05 22:02:21 -07:00
emozilla 0365f6202c feat: show model pricing for OpenRouter and Nous Portal providers
Display live per-million-token pricing from /v1/models when listing
models for OpenRouter or Nous Portal. Prices are shown in a
column-aligned table with decimal points vertically aligned for
easy comparison.

Pricing appears in three places:
- /provider slash command (table with In/Out headers)
- hermes model picker (aligned columns in both TerminalMenu and
  numbered fallback)

Implementation:
- Add fetch_models_with_pricing() in models.py with per-base_url
  module-level cache (one network call per endpoint per session)
- Add _format_price_per_mtok() with fixed 2-decimal formatting
- Add format_model_pricing_table() for terminal table display
- Add get_pricing_for_provider() convenience wrapper
- Update _prompt_model_selection() to accept optional pricing dict
- Wire pricing through _model_flow_openrouter/nous in main.py
- Update test mocks for new pricing parameter
2026-04-05 22:02:21 -07:00
Teknium 0efe7dace7 feat: add GPT/Codex execution discipline guidance for tool persistence (#5414)
Adds OPENAI_MODEL_EXECUTION_GUIDANCE — XML-tagged behavioral guidance
injected for GPT and Codex models alongside the existing tool-use
enforcement. Targets four specific failure modes:

- <tool_persistence>: retry on empty/partial results instead of giving up
- <prerequisite_checks>: do discovery/lookup before jumping to final action
- <verification>: check correctness/grounding/formatting before finalizing
- <missing_context>: use lookup tools instead of hallucinating

Follows the same injection pattern as GOOGLE_MODEL_OPERATIONAL_GUIDANCE
for Gemini/Gemma models. Inspired by OpenClaw PR #38953 and OpenAI's
GPT-5.4 prompting guide patterns.
2026-04-05 21:51:07 -07:00
SHL0MS 4e196a5428 Merge pull request #5411 from SHL0MS/fix/manim-monospace-fonts
fix(manim-video): recommend monospace fonts — proportional fonts have broken kerning
2026-04-06 00:36:19 -04:00
SHL0MS b26e7fd43a fix(manim-video): recommend monospace fonts — proportional fonts have broken kerning in Pango
Manim's Pango text renderer produces broken kerning with proportional
fonts (Helvetica, Inter, SF Pro, Arial) at all sizes and resolutions.
Characters overlap and spacing is inconsistent. This is a fundamental
Pango limitation.

Changes:
- Recommend Menlo (monospace) as the default font for ALL text
- Proportional fonts only acceptable for large titles (>=48, short strings)
- Set minimum font_size=18 for readability
- Update all code examples to use MONO='Menlo' pattern
- Remove Inter/Helvetica/SF Pro from recommendations
2026-04-06 00:35:43 -04:00
SHL0MS 084cd1f840 Merge pull request #5408 from SHL0MS/feat/manim-skill-improvements
docs(manim-video): expand references with Manim CE API coverage and 3b1b production patterns
2026-04-06 00:09:25 -04:00
SHL0MS 447ec076a4 docs(manim-video): expand references with comprehensive Manim CE and 3b1b patterns
Adds 601 lines across 6 reference files, sourced from deep review of:
- Manim CE v0.20.1 full reference manual
- 3b1b/manim example_scenes.py and source modules
- 3b1b/videos production CLAUDE.md and workflow patterns
- Manim CE thematic guides (voiceover, text, configuration)

animations.md: always_redraw, TracedPath, FadeTransform,
  TransformFromCopy, ApplyMatrix, squish_rate_func,
  ShowIncreasingSubsets, ShowPassingFlash, expanded rate functions

mobjects.md: SVGMobject, ImageMobject, Variable, BulletedList,
  DashedLine, Angle/RightAngle, boolean ops, LabeledArrow,
  t2c/t2f/t2s/t2w per-substring styling, backstroke for readability,
  apply_complex_function with prepare_for_nonlinear_transform

equations.md: substrings_to_isolate, multi-line equations,
  TransformMatchingTex with matched_keys and key_map,
  set_color_by_tex

graphs-and-data.md: Graph/DiGraph with layout algorithms,
  ArrowVectorField/StreamLines, ComplexPlane/PolarPlane

camera-and-3d.md: ZoomedScene with inset zoom,
  LinearTransformationScene for 3b1b-style linear algebra

rendering.md: manim.cfg project config, self.next_section()
  chapter markers, manim-voiceover plugin with ElevenLabs/GTTS
  integration and bookmark-based audio sync
2026-04-06 00:08:17 -04:00
Teknium 89c812d1d2 feat: shared thread sessions by default — multi-user thread support (#5391)
Threads (Telegram forum topics, Discord threads, Slack threads) now default
to shared sessions where all participants see the same conversation. This is
the expected UX for threaded conversations where multiple users @mention the
bot and interact collaboratively.

Changes:
- build_session_key(): when thread_id is present, user_id is no longer
  appended to the session key (threads are shared by default)
- New config: thread_sessions_per_user (default: false) — opt-in to restore
  per-user isolation in threads if needed
- Sender attribution: messages in shared threads are prefixed with
  [sender name] so the agent can tell participants apart
- System prompt: shared threads show 'Multi-user thread' note instead of
  a per-turn User line (avoids busting prompt cache)
- Wired through all callers: gateway/run.py, base.py, telegram.py, feishu.py
- Regular group messages (no thread) remain per-user isolated (unchanged)
- DM threads are unaffected (they have their own keying logic)

Closes community request from demontut_ re: thread-based shared sessions.
2026-04-05 19:46:58 -07:00
Teknium 43d468cea8 docs: comprehensive documentation audit — fix stale info, expand thin pages, add depth (#5393)
Major changes across 20 documentation pages:

Staleness fixes:
- Fix FAQ: wrong import path (hermes.agent → run_agent)
- Fix FAQ: stale Gemini 2.0 model → Gemini 3 Flash
- Fix integrations/index: missing MiniMax TTS provider
- Fix integrations/index: web_crawl is not a registered tool
- Fix sessions: add all 19 session sources (was only 5)
- Fix cron: add all 18 delivery targets (was only telegram/discord)
- Fix webhooks: add all delivery targets
- Fix overview: add missing MCP, memory providers, credential pools
- Fix all line-number references → use function name searches instead
- Update file size estimates (run_agent ~9200, gateway ~7200, cli ~8500)

Expanded thin pages (< 150 lines → substantial depth):
- honcho.md: 43 → 108 lines — added feature comparison, tools, config, CLI
- overview.md: 49 → 55 lines — added MCP, memory providers, credential pools
- toolsets-reference.md: 57 → 175 lines — added explanations, config examples,
  custom toolsets, wildcards, platform differences table
- optional-skills-catalog.md: 74 → 153 lines — added 25+ missing skills across
  communication, devops, mlops (18!), productivity, research categories
- integrations/index.md: 82 → 115 lines — added messaging, HA, plugins sections
- cron-internals.md: 90 → 195 lines — added job JSON example, lifecycle states,
  tick cycle, delivery targets, script-backed jobs, CLI interface
- gateway-internals.md: 111 → 250 lines — added architecture diagram, message
  flow, two-level guard, platform adapters, token locks, process management
- agent-loop.md: 112 → 235 lines — added entry points, API mode resolution,
  turn lifecycle detail, message alternation rules, tool execution flow,
  callback table, budget tracking, compression details
- architecture.md: 152 → 295 lines — added system overview diagram, data flow
  diagrams, design principles table, dependency chain

Other depth additions:
- context-references.md: added platform availability, compression interaction,
  common patterns sections
- slash-commands.md: added quick commands config example, alias resolution
- image-generation.md: added platform delivery table
- tools-reference.md: added tool counts, MCP tools note
- index.md: updated platform count (5 → 14+), tool count (40+ → 47)
2026-04-05 19:45:50 -07:00
Teknium fec58ad99e fix(gateway): replace wall-clock agent timeout with inactivity-based timeout (#5389)
The gateway previously used a hard wall-clock asyncio.wait_for timeout
that killed agents after a fixed duration regardless of activity. This
punished legitimate long-running tasks (subagent delegation, reasoning
models, multi-step research).

Now uses an inactivity-based polling loop that checks the agent's
built-in activity tracker (get_activity_summary) every 5 seconds. The
agent can run indefinitely as long as it's actively calling tools or
receiving API responses. Only fires when the agent has been completely
idle for the configured duration.

Changes:
- Replace asyncio.wait_for with asyncio.wait poll loop checking
  agent idle time via get_activity_summary()
- Add agent.gateway_timeout config.yaml key (default 1800s, 0=unlimited)
- Update stale session eviction to use agent idle time instead of
  pure wall-clock (prevents evicting active long-running tasks)
- Preserve all existing diagnostic logging and user-facing context

Inspired by PR #4864 (Mibayy) and issue #4815 (BongSuCHOI).
Reimplemented on current main using existing _touch_activity()
infrastructure rather than a parallel tracker.
2026-04-05 19:38:21 -07:00
Teknium 8972eb05fd docs: add comprehensive Discord configuration reference (#5386)
Add full Configuration Reference section to Discord docs covering all
env vars (10 total) and config.yaml options with types, defaults, and
detailed explanations. Previously undocumented: DISCORD_AUTO_THREAD,
DISCORD_ALLOW_BOTS, DISCORD_REACTIONS, discord.auto_thread,
discord.reactions, display.tool_progress, display.tool_progress_command.
Cleaned up manual setup flow to show only required vars.
2026-04-05 19:17:24 -07:00
Teknium fc15f56fc4 feat: warn users when loading non-agentic Hermes LLM models (#5378)
Nous Research Hermes 3 & 4 models lack tool-calling capabilities and
are not suitable for agent workflows. Add a warning that fires in two
places:

- /model switch (CLI + gateway) via model_switch.py warning_message
- CLI session startup banner when the configured model contains 'hermes'

Both paths suggest switching to an agentic model (Claude, GPT, Gemini,
DeepSeek, etc.).
2026-04-05 18:41:03 -07:00
Dusk1e e9ddfee4fd fix(plugins): reject plugin names that resolve to the plugins root
Reject "." as a plugin name — it resolves to the plugins directory
itself, which in force-install flows causes shutil.rmtree to wipe the
entire plugins tree.

- reject "." early with a clear error message
- explicit check for target == plugins_resolved (raise instead of allow)
- switch boundary check from string-prefix to Path.relative_to()
- add regression tests for sanitizer + install flow

Co-authored-by: Dusk1e <yusufalweshdemir@gmail.com>
2026-04-05 18:40:45 -07:00
Teknium 2563493466 fix: improve timeout debug logging and user-facing diagnostics (#5370)
Agent activity tracking:
- Add _last_activity_ts, _last_activity_desc, _current_tool to AIAgent
- Touch activity on: API call start/complete, tool start/complete,
  first stream chunk, streaming request start
- Public get_activity_summary() method for external consumers

Gateway timeout diagnostics:
- Timeout message now includes what the agent was doing when killed:
  actively working vs stuck on a tool vs waiting on API response
- Includes iteration count, last activity description, seconds since
  last activity — users can distinguish legitimate long tasks from
  genuine hangs
- 'Still working' notifications now show iteration count and current
  tool instead of just elapsed time
- Stale lock eviction logs include agent activity state for debugging

Stream stale timeout:
- _emit_status when stale stream is detected (was log-only) — gateway
  users now see 'No response from provider for Ns' with model and
  context size
- Improved logger.warning with model name and estimated context size

Error path notifications (gateway-visible via _emit_status):
- Context compression attempts now use _emit_status (was _vprint only)
- Non-retryable client errors emit summary before aborting
- Max retry exhaustion emits error summary (was _vprint only)
- Rate limit exhaustion emits specific rate-limit message

These were all CLI-visible but silent to gateway users, which is why
people on Telegram/Discord saw generic 'request failed' messages
without explanation.
2026-04-05 18:33:33 -07:00
SHL0MS 1572956fdc Merge pull request #4930 from SHL0MS/feat/manim-video-skill-v2
feat(skills): add manim-video skill for mathematical and technical animations
2026-04-05 16:10:30 -07:00
SHL0MS 9d885b266c feat(skills): add manim-video skill for mathematical and technical animations
Production pipeline for creating 3Blue1Brown-style animated videos
using Manim Community Edition. The agent handles the full workflow:
creative planning, Python code generation, rendering, scene stitching,
audio muxing, and iterative refinement.

Modes: concept explainers, equation derivations, algorithm
visualizations, data stories, architecture diagrams, paper explainers,
3D visualizations.

9 reference files, setup verification script, README.
All API references verified against ManimCommunity/manim source.
2026-04-05 19:09:37 -04:00
donrhmexe 7409715947 fix: link subagent sessions to parent and hide from session list
Subagent sessions spawned by delegate_task were created with
parent_session_id=NULL and source=cli, making them indistinguishable
from user sessions in hermes sessions list and /resume.

Changes:
- delegate_tool.py: pass parent_agent.session_id to child agent
- run_agent.py: accept parent_session_id param, pass to create_session
- hermes_state.py list_sessions_rich: filter parent_session_id IS NULL
  by default (opt-in include_children=True for callers that need them)
- hermes_state.py delete_session: delete child sessions first (FK)
- hermes_state.py prune_sessions: delete children before parents (FK)

session_search already handles parent_session_id correctly — child
sessions are filtered from recent list and resolved to parent root
in full-text search results.

Fixes #5122
2026-04-05 12:48:50 -07:00
Teknium efa03fc07d docs: update honcho CLI reference + document plugin CLI registration (#5308)
Post PR #5295 docs audit — 4 fixes:

1. cli-commands.md: Update hermes honcho subcommand table with 4
   missing commands (peers, enable, disable, sync), --target-profile
   flag, --all on status, correct mode values (hybrid/context/tools
   not hybrid/honcho/local), and note that setup redirects to
   hermes memory setup.

2. build-a-hermes-plugin.md: Replace 'ctx.register_command() —
   planned but not yet implemented' with the actual implemented
   ctx.register_cli_command() API. Add full Register CLI commands
   section with code example.

3. memory-provider-plugin.md: Add 'Adding CLI Commands' section
   documenting the register_cli(subparser) convention for memory
   provider plugins, active-provider gating, and directory structure.

4. plugins.md: Add CLI command registration to the capabilities table.
2026-04-05 12:48:20 -07:00
Teknium 4494fba140 feat: OSV malware check for MCP extension packages (#5305)
Before launching an MCP server via npx/uvx, queries the OSV (Open Source
Vulnerabilities) API to check if the package has known malware advisories
(MAL-* IDs). Regular CVEs are ignored — only confirmed malware is blocked.

- Free, public API (Google-maintained), ~300ms per query
- Runs once per MCP server launch, inside _run_stdio() before subprocess spawn
- Parallel with other MCP servers (asyncio.gather already in place)
- Fail-open: network errors, timeouts, unrecognized commands → allow
- Parses npm (scoped @scope/pkg@version) and PyPI (name[extras]==version)

Inspired by Block/goose extension malware check.
2026-04-05 12:46:07 -07:00
Teknium b63fb03f3f feat(browser): add JS evaluation via browser_console expression parameter (#5303)
Add optional 'expression' parameter to browser_console that evaluates
JavaScript in the page context (like DevTools console). Returns structured
results with auto-JSON parsing.

No new tool — extends the existing browser_console schema with ~20 tokens
of overhead instead of adding a 12th browser tool.

Both backends supported:
- Browserbase: uses agent-browser 'eval' command via CDP
- Camofox: uses /tabs/{tab_id}/eval endpoint with graceful degradation

E2E verified: string eval, number eval, structured JSON, DOM manipulation,
error handling, and original console-output mode all working.
2026-04-05 12:42:52 -07:00
Teknium 8d5226753f fix: add missing ButtonStyle.grey to discord mock for test compatibility 2026-04-05 12:42:47 -07:00
Abhey 66d0fa1778 fix: avoid unnecessary Discord members intent on startup
Only request the privileged members intent when DISCORD_ALLOWED_USERS includes non-numeric entries that need username resolution. Also release the Discord token lock when startup fails so retries and restarts are not blocked by a stale lock.\n\nAdds regression tests for conditional intents and startup lock cleanup.
2026-04-05 12:42:47 -07:00
Teknium 583d9f9597 fix(honcho): migration guard for observation mode default change
Existing honcho.json configs without an explicit observationMode now
default to 'unified' (the old default) instead of being silently
switched to 'directional'. New installations get 'directional' as
the new default.

Detection: _explicitly_configured (host block exists or enabled=true)
signals an existing config. When true and no observationMode is set
anywhere in the config chain, falls back to 'unified'. When false
(fresh install), uses 'directional'.

Users who explicitly set observationMode or granular observation
booleans are unaffected — explicit config always wins.

5 new tests covering all migration paths.
2026-04-05 12:34:11 -07:00
Teknium 0f813c422c fix(plugins): only register CLI commands for the active memory provider
discover_plugin_cli_commands() now reads memory.provider from config.yaml
and only loads CLI registration for the active provider. If no memory
provider is set, no plugin CLI commands appear in the CLI.

Only one memory provider can be active at a time — at most one set of
plugin CLI commands is registered. Users who haven't configured honcho
(or any memory provider) won't see 'hermes honcho' in their help output.

Adds test for inactive provider returning empty results.
2026-04-05 12:34:11 -07:00
Teknium b074b0b13a test: add plugin CLI registration tests
11 tests covering:
- PluginContext.register_cli_command() storage and overwrite
- get_plugin_cli_commands() return semantics
- Memory plugin discover_plugin_cli_commands() with register_cli convention
- Skipping plugins without register_cli or cli.py
- Honcho register_cli() subcommand tree structure
- Mode choices updated to recall modes (hybrid/context/tools)
- _ProviderCollector.register_cli_command no-op safety
2026-04-05 12:34:11 -07:00
Teknium dd8a42bf7d feat(plugins): plugin CLI registration system — decouple plugin commands from core
Add ctx.register_cli_command() to PluginContext for general plugins and
discover_plugin_cli_commands() to memory plugin system. Plugins that
provide a register_cli(subparser) function in their cli.py are
automatically discovered during argparse setup and wired into the CLI.

- Remove 95-line hardcoded honcho argparse block from main.py
- Move honcho subcommand tree into plugins/memory/honcho/cli.py
  via register_cli() convention
- hermes honcho setup now redirects to hermes memory setup (unified path)
- hermes honcho (no subcommand) shows status instead of running setup
- Future plugins can register CLI commands without touching core files
- PluginManager stores CLI registrations in _cli_commands dict
- Memory plugin discovery scans cli.py for register_cli at argparse time

main.py: -102 lines of hardcoded plugin routing
2026-04-05 12:34:11 -07:00
erosika c02c3dc723 fix(honcho): plugin drift overhaul -- observation config, chunking, setup wizard, docs, dead code cleanup
Salvaged from PR #5045 by erosika.

- Replace memoryMode/peer_memory_modes with granular per-peer observation config
- Add message chunking for Honcho API limits (25k chars default)
- Add dialectic input guard (10k chars default)
- Add dialecticDynamic toggle for reasoning level auto-bump
- Rewrite setup wizard with cloud/local deployment picker
- Switch peer card/profile/search from session.context() to direct peer APIs
- Add server-side observation sync via get_peer_configuration()
- Fix base_url/baseUrl config mismatch for self-hosted setups
- Fix local auth leak (cloud API keys no longer sent to local instances)
- Remove dead code: memoryMode, peer_memory_modes, linkedHosts, suppress flags, SOUL.md aiPeer sync
- Add post_setup hook to memory_setup.py for provider-specific setup wizards
- Comprehensive README rewrite with full config reference
- New optional skill: autonomous-ai-agents/honcho
- Expanded memory-providers.md with multi-profile docs
- 9 new tests (chunking, dialectic guard, peer lookups), 14 dead tests removed
- Fix 2 pre-existing TestResolveConfigPath filesystem isolation failures
2026-04-05 12:34:11 -07:00
Teknium 12724e6295 feat: progressive subdirectory hint discovery (#5291)
As the agent navigates into subdirectories via tool calls (read_file,
terminal, search_files, etc.), automatically discover and load project
context files (AGENTS.md, CLAUDE.md, .cursorrules) from those directories.

Previously, context files were only loaded from the CWD at session start.
If the agent moved into backend/, frontend/, or any subdirectory with its
own AGENTS.md, those instructions were never seen.

Now, SubdirectoryHintTracker watches tool call arguments for file paths
and shell commands, resolves directories, and loads hint files on first
access. Discovered hints are appended to the tool result so the model
gets relevant context at the moment it starts working in a new area —
without modifying the system prompt (preserving prompt caching).

Features:
- Extracts paths from tool args (path, workdir) and shell commands
- Loads AGENTS.md, CLAUDE.md, .cursorrules (first match per directory)
- Deduplicates — each directory loaded at most once per session
- Ignores paths outside the working directory
- Truncates large hint files at 8K chars
- Works on both sequential and concurrent tool execution paths

Inspired by Block/goose SubdirectoryHintTracker.
2026-04-05 12:33:47 -07:00
Teknium 567bc79948 fix: clean up cron platform allowlist — add homeassistant, fix import, improve placement
Follow-up for cherry-picked #5118 commits:
- Remove duplicate 'import subprocess'
- Move _KNOWN_DELIVERY_PLATFORMS to module-level (after imports)
- Add 'homeassistant' to allowlist (existing platform missing from original PR)
- Remove trailing whitespace
2026-04-05 12:31:27 -07:00
Maymun 71a4582bf8 fix(security): hoist platform allowlist to module scope as frozenset 2026-04-05 12:31:27 -07:00
Maymun 1ebc932417 fix(security): validate cron deliver platform name to prevent env var enumeration 2026-04-05 12:31:27 -07:00
Xowiek ef3bd3b276 security(approval): fix privilege escalation in gateway once-approval logic 2026-04-05 12:31:27 -07:00
MichaelWDanko c6793d6fc3 fix(gateway): wrap cron helpers with staticmethod to prevent self-binding
Plain functions imported as class attributes in APIServerAdapter get
auto-bound as methods via Python's descriptor protocol.  Every
self._cron_*() call injected self as the first positional argument,
causing TypeError on all 8 cron API endpoints at runtime.

Wrap each import with staticmethod() so self._cron_*() calls dispatch
correctly without modifying any call sites.

Co-authored-by: teknium <teknium@nousresearch.com>
2026-04-05 12:31:10 -07:00
Mibayy cc2b56b26a feat(api): structured run events via /v1/runs SSE endpoint
Add POST /v1/runs to start async agent runs and GET /v1/runs/{run_id}/events
for SSE streaming of typed lifecycle events (tool.started, tool.completed,
message.delta, reasoning.available, run.completed, run.failed).

Changes the internal tool_progress_callback signature from positional
(tool_name, preview, args) to event-type-first
(event_type, tool_name, preview, args, **kwargs). Existing consumers
filter on event_type and remain backward-compatible.

Adds concurrency limit (_MAX_CONCURRENT_RUNS=10) and orphaned run sweep.

Fixes logic inversion in cli.py _on_tool_progress where the original PR
would have displayed internal tools instead of non-internal ones.

Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
2026-04-05 12:05:13 -07:00
Mibayy e167ad8f61 feat(delegate): add acp_command/acp_args override to delegate_task
Allow delegate_task to specify custom ACP transport per-task, so a parent
running via CLI/Discord/Telegram can spawn child agents over ACP
(e.g. claude --acp --stdio). Follows the existing override_provider pattern.
Supports per-task granularity in batch mode.

Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
2026-04-05 12:05:13 -07:00
NexVeridian c71b1d197f fix(acp): advertise slash commands via ACP protocol
Send AvailableCommandsUpdate on session create/load/resume/fork so ACP
clients (Zed, etc.) can discover /help, /model, /tools, /compact, etc.
Also rewrites /compact to use agent._compress_context() properly with
token estimation and session DB isolation.

Co-authored-by: NexVeridian <NexVeridian@users.noreply.github.com>
2026-04-05 12:05:13 -07:00
Git-on-my-level fcdd5447e2 fix: keep ACP stdout protocol-clean
Route AIAgent print output to stderr via _print_fn for ACP stdio sessions.
Gate quiet-mode spinner startup on _should_start_quiet_spinner() so JSON-RPC
on stdout isn't corrupted. Child agents inherit the redirect.

Co-authored-by: Git-on-my-level <Git-on-my-level@users.noreply.github.com>
2026-04-05 12:05:13 -07:00
Teknium 914a7db448 fix(acp): rename AuthMethod to AuthMethodAgent for agent-client-protocol 0.9.0
Straight rename to match the 0.9.0 API where AuthMethod was split into
AuthMethodAgent, AuthMethodEnvVar, AuthMethodTerminal. Bump pin to >=0.9.0,<1.0.

Co-authored-by: Mibayy <mibayy@users.noreply.github.com>
2026-04-05 12:05:13 -07:00
Teknium 6ee90a7cf6 fix: hermes auth remove now clears env-seeded credentials permanently (#5285)
Removing an env-seeded credential (e.g. from OPENROUTER_API_KEY) via
'hermes auth' previously had no lasting effect -- the entry was deleted
from auth.json but load_pool() re-created it on the next call because
the env var was still set.

Now auth_remove_command detects env-sourced entries (source starts with
'env:') and calls the new remove_env_value() to strip the var from both
.env and os.environ, preventing re-seeding.

Changes:
- hermes_cli/config.py: add remove_env_value() -- atomically removes a
  line from .env and pops from os.environ
- hermes_cli/auth_commands.py: auth_remove_command clears env var when
  removing an env-seeded pool entry
- 8 new tests covering remove_env_value and the full zombie-credential
  lifecycle (remove -> reload -> stays gone)
2026-04-05 12:00:53 -07:00
Teknium 0c95e91059 fix: follow-up fixes for salvaged PRs
- Fix GatewayApp → GatewayRunner import in api_server.py (PR #4976)
- Update launchd test assertions for new bootstrap/bootout/kickstart commands (PR #4892)
- Add nonlocal message declaration in run_sync() to fix UnboundLocalError (pre-existing scoping bug)
2026-04-05 11:59:28 -07:00
analista 6a6ae9a5c3 fix(gateway): correct misleading log text for unknown /commands
The warning said 'forwarding as plain text' but the code returns a
user-facing error reply instead of forwarding. Describe what actually
happens.
2026-04-05 11:59:28 -07:00
analista e8053e8b93 fix(gateway): surface unknown /commands instead of leaking them to the LLM
Previously, typing a /command that isn't a built-in, plugin, or skill
would silently fall through to the LLM as plain text. The model often
interprets it as a loose instruction and invents unrelated tool calls —
e.g. a stray /claude_code slipped through and the model fabricated a
delegate_task invocation that got stuck in an OAuth loop.

Now we check GATEWAY_KNOWN_COMMANDS after the skill / plugin /
unavailable-skill lookups and return an actionable message pointing the
user at /commands. The user gets feedback, and the agent doesn't waste
a round-trip guessing what /foo-bar was supposed to mean.
2026-04-05 11:59:28 -07:00
analista 4a75aec433 fix(gateway): resolve Telegram's underscored /commands to skill/plugin keys
Telegram's Bot API disallows hyphens in command names, so
_build_telegram_menu registers /claude-code as /claude_code. When the
user taps it from autocomplete, the gateway dispatch did a direct
lookup against skill_cmds (keyed on the hyphenated form) and missed,
silently falling through to the LLM as plain text. The model would
then typically call delegate_task, spawning a Hermes subagent instead
of invoking the intended skill.

Normalize underscores to hyphens in skill and plugin command lookup,
matching the existing pattern in _check_unavailable_skill.
2026-04-05 11:59:28 -07:00
Damian P afccbf253c fix: resolve listed messaging targets consistently 2026-04-05 11:59:28 -07:00
kshitijk4poor 1d2e34c7eb Prevent Telegram polling handoffs and flood-control send failures
Telegram polling can inherit a stale webhook registration when a deployment
switches transport modes, which leaves getUpdates idle even though the gateway
starts cleanly. Outbound send also treats Telegram retry_after responses as
terminal errors, so brief flood control can drop tool progress and replies.

Constraint: Keep the PR narrowly scoped to upstream/main Telegram adapter behavior
Rejected: Port OpenClaw's broader polling supervisor and offset persistence | too broad for an isolated fix PR
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Polling mode should clear webhook state before starting getUpdates, and send-path retry logic must distinguish flood control from timeouts
Tested: uv run --extra dev pytest tests/gateway/test_telegram_* -q
Not-tested: Live Telegram webhook-to-polling migration and real Bot API 429 behavior
2026-04-05 11:59:28 -07:00
Trevin Chow 74ff62f5ac fix(gateway): use kickstart -k for atomic launchd restart
Replace the two-step stop/start restart with a single
launchctl kickstart -k call. When the gateway triggers a
restart from inside its own process tree, the old stop
command kills the shell before the start half is reached.
kickstart -k lets launchd handle the kill+restart atomically.
2026-04-05 11:59:28 -07:00
Trevin Chow aab74b582c fix(gateway): replace deprecated launchctl start/stop with kickstart/kill
launchctl load/unload/start/stop are deprecated on macOS since 10.10
and fail silently on modern versions. This replaces them with the
current equivalents:

- load -> bootstrap gui/<uid> <plist>
- unload -> bootout gui/<uid>/<label>
- start -> kickstart gui/<uid>/<label>
- stop -> kill SIGTERM gui/<uid>/<label>

Adds _launchd_domain() helper returning the gui/<uid> target domain.
Updates test assertions to match the new command signatures.

Fixes #4820
2026-04-05 11:59:28 -07:00
bg-l2norm abf1be564b fix(deps): include telegram webhook extra in messaging installs (#4915) 2026-04-05 11:59:28 -07:00
teyrebaz33 6df0f07ff3 fix: /status command bypasses active-session guard during agent run (#5046)
When an agent was actively processing a message, /status sent via Telegram
(or any gateway) was queued as a pending interrupt instead of being dispatched
immediately. The base platform adapter's handle_message() only had special-case
bypass logic for /approve and /deny, so /status fell through to the default
interrupt path and was never processed as a system command.

Apply the same bypass pattern used by /approve//deny: detect cmd == 'status'
inside the active-session guard, dispatch directly to the message handler, and
send the response without touching session lifecycle or interrupt state.

Adds a regression test that verifies /status is dispatched and responded to
immediately even when _active_sessions contains an entry for the session.
2026-04-05 11:59:28 -07:00
nibzard 4df2fca2f0 fix(gateway): cap memory flush retries at 3 to prevent infinite loop
The _session_expiry_watcher retried failed memory flushes forever
because exceptions were caught at debug level without setting
memory_flushed=True. Expired sessions with transient failures
(rate limits, network errors) would retry every 5 minutes
indefinitely, burning API quota and blocking gateway message
processing via 429 rate limit cascades.

Observed case: a March 19 session retried 28+ times over ~17 days,
causing repeated 429 errors that made Telegram unresponsive.

Add a per-session failure counter (_flush_failures) that gives up
after 3 consecutive attempts and marks the session as flushed to
break the loop.
2026-04-05 11:59:28 -07:00
Saurabh 507b63f86b fix(api-server): pass fallback_model to AIAgent (#4954)
The API server platform never passed fallback_model to AIAgent(),
so the fallback provider chain was always empty for requests through
the OpenAI-compatible endpoint. Load it via GatewayApp._load_fallback_model()
to match the behavior of Telegram/Discord/Slack platforms.
2026-04-05 11:59:28 -07:00
memosr 7f853ba7b6 fix: use logger.exception to preserve traceback in logs and drop unused import 2026-04-05 11:59:28 -07:00
memosr 5ff514ec79 fix(security): remove full traceback from cron error output to prevent info leakage 2026-04-05 11:59:28 -07:00
Teknium daa4a5acdd feat: add docs links to setup wizard sections (#5283)
Each setup step now shows a link to the relevant docs page:
- Model & Provider → integrations/providers
- Terminal Backend → developer-guide/environments
- Agent Settings → user-guide/configuration
- Messaging Platforms → user-guide/messaging (overview)
- Telegram, Discord, Matrix, Mattermost, WhatsApp → per-platform guides
- Tools → user-guide/features/tools

Existing Slack and Webhook URLs migrated to shared _DOCS_BASE constant.
2026-04-05 11:46:13 -07:00
Teknium 54cb311f40 fix: suppress false 'Unknown toolsets' warning for MCP server names (#5279)
MCP server names (e.g. annas, libgen) are added to enabled_toolsets by
_get_platform_tools() but aren't registered in TOOLSETS until later when
_sync_mcp_toolsets() runs during tool discovery. The validation in
HermesCLI.__init__() fires before that, producing a false warning.

Fix: exclude configured MCP server names from the validation check.
CLI_CONFIG is already available at the call site, so no new imports needed.

Closes #5267 (alternative fix)
2026-04-05 11:44:40 -07:00
Teknium a0a1b86c2e fix: accept reasoning-only responses without retries — set content to "(empty)" (#5278)
* feat: coerce tool call arguments to match JSON Schema types

LLMs frequently return numbers as strings ("42" instead of 42) and
booleans as strings ("true" instead of true). This causes silent
failures with MCP tools and any tool with strictly-typed parameters.

Added coerce_tool_args() in model_tools.py that runs before every tool
dispatch. For each argument, it checks the tool registry schema and
attempts safe coercion:
  - "42" → 42 when schema says "type": "integer"
  - "3.14" → 3.14 when schema says "type": "number"
  - "true"/"false" → True/False when schema says "type": "boolean"
  - Union types tried in order
  - Original values preserved when coercion fails or is not applicable

Inspired by Block/goose tool argument coercion system.

* fix: accept reasoning-only responses without retries — set content to "(empty)"

Previously, when a model returned reasoning/thinking but no visible
content, we entered a 120-line retry/classify/compress/salvage cascade
that wasted 3+ API calls trying to "fix" the response. The model was
done thinking — retrying with the same input just burned money.

Now reasoning-only responses are accepted immediately:
- Reasoning stays in the `reasoning` field (semantically correct)
- Content set to "(empty)" — valid non-empty string every provider accepts
- No retries, no compression triggers, no salvage logic
- Session history contains "(empty)" not "" — prevents #2128 session
  poisoning where empty assistant content caused prefill rejections

Removes ~120 lines, adds ~15. Saves 2-3 API calls per reasoning-only
response. Fixes #2128.
2026-04-05 11:30:52 -07:00
nepenth 534511bebb feat(matrix): Tier 1 enhancement — reactions, read receipts, rich formatting, room management
Cherry-picked from PR #4338 by nepenth, resolved against current main.

Adds:
- Processing lifecycle reactions (eyes/checkmark/cross) via MATRIX_REACTIONS env
- Reaction send/receive with ReactionEvent + UnknownEvent fallback for older nio
- Fire-and-forget read receipts on text and media messages
- Message redaction, room history fetch, room creation, user invite
- Presence status control (online/offline/unavailable)
- Emote (/me) and notice message types with HTML rendering
- XSS-hardened markdown-to-HTML converter (strips raw HTML preprocessor,
  sanitizes link URLs against javascript:/data:/vbscript: schemes)
- Comprehensive regex fallback with full block/inline markdown support
- Markdown>=3.6 added to [matrix] extras in pyproject.toml
- 46 new tests covering all features and security hardening
2026-04-05 11:19:54 -07:00
Teknium 20b4060dbf fix: web_extract fast-fail on scrape timeout + summarizer resilience
- Firecrawl scrape: 60s timeout via asyncio.wait_for + to_thread
  (previously could hang indefinitely)
- Summarizer retries: 6 → 2 (one retry), reads timeout from
  auxiliary.web_extract.timeout config (default 360s / 6min)
- Summarizer failure: falls back to truncated raw content (~5000 chars)
  instead of useless error message, with guidance about config/model
- Config default: auxiliary.web_extract.timeout bumped 30 → 360s
  for local model compatibility

Addresses Discord reports of agent hanging during web_extract.
2026-04-05 11:16:45 -07:00
Teknium c100ad874c fix(matrix): E2EE cron delivery via live adapter + HTML formatting + origin fallback
Salvaged from PRs #3767 (chalkers), #5236 (ygd58), #2641 (buntingszn).

Three improvements to Matrix cron delivery:

1. Live adapter path: when the gateway is running, cron delivery now uses
   the connected MatrixAdapter via run_coroutine_threadsafe instead of
   the standalone HTTP PUT. This enables delivery to E2EE rooms where
   the raw HTTP path cannot encrypt. Falls back to standalone on failure.
   Threads adapters + event loop from gateway -> cron ticker -> tick() ->
   _deliver_result(). (from #3767)

2. HTML formatted_body: _send_matrix() now converts markdown to HTML
   using the optional markdown library, with h1-h6 to bold conversion
   for Element X compatibility. Falls back to plain text if markdown
   is not installed. Also adds random bytes to txn_id to prevent
   collisions. (from #5236)

3. Origin fallback: when deliver="origin" but origin is null (jobs
   created via API/scripts), falls back to HOME_CHANNEL env vars
   in order: matrix -> telegram -> discord -> slack. (from #2641)
2026-04-05 11:07:47 -07:00
dlkakbs 36e046e843 fix(gateway): MIME type fallback for Matrix document uploads
Cherry-picked run.py portion from PR #3495 by dlkakbs.
When Matrix sends non-image files (text, YAML, JSON, etc.), the MIME
type may be empty or application/octet-stream. Falls back to
extension-based detection so text files are properly injected into
agent context.
2026-04-05 11:07:47 -07:00
chalkers bec02f3731 fix(matrix): handle encrypted media events and cache decrypted attachments
Cherry-picked from PR #3140 by chalkers, resolved against current main.
Registers RoomEncryptedImage/Audio/Video/File callbacks, decrypts
attachments via nio.crypto, caches all media types (images, audio,
documents), prevents ciphertext URL fallback for encrypted media.
Unifies the separate voice-message download into the main cache block.
Preserves main's MATRIX_REQUIRE_MENTION, auto-thread, and mention
stripping features. Includes 355 lines of encrypted media tests.
2026-04-05 11:07:47 -07:00
binhnt92 b65e67545a fix(gateway): stop Matrix/Mattermost reconnect on permanent auth failures
Cherry-picked from PR #3695 by binhnt92.
Matrix _sync_loop() and Mattermost _ws_loop() were retrying all errors
forever, including permanent auth failures (expired tokens, revoked
access). Now detects M_UNKNOWN_TOKEN, M_FORBIDDEN, 401/403 and stops
instead of spinning. Includes 216 lines of tests.
2026-04-05 11:07:47 -07:00
pjay-io 9d7c288d86 fix(matrix): add filesize to nio.upload() for Synapse compatibility
Cherry-picked from PR #4343 by pjay-io.
Synapse rejects chunked uploads without Content-Length. Adding
filesize=len(data) ensures the upload includes proper sizing.
2026-04-05 11:07:47 -07:00
thakoreh 914f7461dc fix: add missing shutil import for Matrix E2EE setup
Cherry-picked from PR #5136 by thakoreh.
setup_gateway() uses shutil.which('uv') at line 2126 but shutil was
never imported at module level, causing NameError during Matrix E2EE
auto-install. Adds top-level import and regression test.
2026-04-05 11:07:47 -07:00
LucidPaths 70f798043b fix: Ollama Cloud auth, /model switch persistence, and alias tab completion
- Add OLLAMA_API_KEY to credential resolution chain for ollama.com endpoints
- Update requested_provider/_explicit_api_key/_explicit_base_url after /model
  switch so _ensure_runtime_credentials() doesn't revert the switch
- Pass base_url/api_key from fallback config to resolve_provider_client()
- Add DirectAlias system: user-configurable model_aliases in config.yaml
  checked before catalog resolution, with reverse lookup by model ID
- Add /model tab completion showing aliases with provider metadata

Co-authored-by: LucidPaths <LucidPaths@users.noreply.github.com>
2026-04-05 11:06:06 -07:00
Teknium 35d280d0bd feat: coerce tool call arguments to match JSON Schema types (#5265)
LLMs frequently return numbers as strings ("42" instead of 42) and
booleans as strings ("true" instead of true). This causes silent
failures with MCP tools and any tool with strictly-typed parameters.

Added coerce_tool_args() in model_tools.py that runs before every tool
dispatch. For each argument, it checks the tool registry schema and
attempts safe coercion:
  - "42" → 42 when schema says "type": "integer"
  - "3.14" → 3.14 when schema says "type": "number"
  - "true"/"false" → True/False when schema says "type": "boolean"
  - Union types tried in order
  - Original values preserved when coercion fails or is not applicable

Inspired by Block/goose tool argument coercion system.
2026-04-05 10:57:34 -07:00
Teknium e899d6a05d fix: increase default HERMES_AGENT_TIMEOUT from 10min to 30min
Users hitting the 10-minute default during complex tool chains.
Bumps both the execution cap and stale-lock eviction timeout.
Still overridable via HERMES_AGENT_TIMEOUT env var (0 = unlimited).
2026-04-05 10:32:59 -07:00
Teknium 51ed7dc2f3 feat: save oversized tool results to file instead of destructive truncation (#5210)
Previously, tool results exceeding 100K characters were silently chopped
with only a '[Truncated]' notice — the rest of the content was lost
permanently. The model had no way to access the truncated portion.

Now, oversized results are written to HERMES_HOME/cache/tool_responses/
and the model receives:
  - A 1,500-char head preview for immediate context
  - The file path so it can use read_file/search_files on the full output

This preserves the context window protection (inline content stays small)
while making the full data recoverable. Falls back to the old destructive
truncation if the file write fails.

Inspired by Block/goose's large response handler pattern.
2026-04-05 10:29:57 -07:00
Teknium d932980c1a Add gitnexus-explorer optional skill (#5208)
Index codebases with GitNexus and serve an interactive knowledge
graph web UI via Cloudflare tunnel. No sudo required.

Includes:
- Full setup/build/serve/tunnel pipeline
- Zero-dependency Node.js reverse proxy script
- Pitfalls section covering cloudflared config conflicts,
  Vite allowedHosts, Claude Code artifact cleanup, and
  browser memory limits for large repos
2026-04-05 03:00:19 -07:00
Teknium 4976a8b066 feat: /model command — models.dev primary database + --provider flag (#5181)
Full overhaul of the model/provider system.

## What changed
- models.dev (109 providers, 4000+ models) as primary database for provider identity AND model metadata
- --provider flag replaces colon syntax for explicit provider switching
- Full ModelInfo/ProviderInfo dataclasses with context, cost, capabilities, modalities
- HermesOverlay system merges models.dev + Hermes-specific transport/auth/aggregator flags
- User-defined endpoints via config.yaml providers: section
- /model (no args) lists authenticated providers with curated model catalog
- Rich metadata display: context window, max output, cost/M tokens, capabilities
- Config migration: custom_providers list → providers dict (v11→v12)
- AIAgent.switch_model() for in-place model swap preserving conversation

## Files
agent/models_dev.py, hermes_cli/providers.py, hermes_cli/model_switch.py,
hermes_cli/model_normalize.py, cli.py, gateway/run.py, run_agent.py,
hermes_cli/config.py, hermes_cli/commands.py
2026-04-05 01:04:44 -07:00
Teknium cb63b5f381 feat(skills): add popular-web-designs skill with 54 website design systems (#5194)
Curated collection of production-quality design system specifications extracted
from real websites (sourced from VoltAgent/awesome-design-md). Each template
captures a site's complete visual language: colors, typography, components,
layout, shadows, responsive behavior, and agent-ready CSS values.

Hermes-specific adaptations in every template:
- Google Fonts CDN link tags for proprietary font substitutes
- CSS font-family stacks with proper fallbacks
- Integration notes for write_file + generative-widgets workflow
- browser_vision verification reminders

SKILL.md includes categorized catalog, font substitution reference table,
HTML generation pattern, and design-to-use-case matching guide.

Sites: Airbnb, Airtable, Apple, BMW, Cal.com, Claude, Clay, ClickHouse,
Cohere, Coinbase, Composio, Cursor, ElevenLabs, Expo, Figma, Framer,
HashiCorp, IBM, Intercom, Kraken, Linear, Lovable, Minimax, Mintlify,
Miro, Mistral AI, MongoDB, Notion, NVIDIA, Ollama, OpenCode, Pinterest,
PostHog, Raycast, Replicate, Resend, Revolut, RunwayML, Sanity, Sentry,
SpaceX, Spotify, Stripe, Supabase, Superhuman, Together AI, Uber, Vercel,
VoltAgent, Warp, Webflow, Wise, xAI, Zapier
2026-04-05 00:42:55 -07:00
Teknium 0c54da8aaf feat(gateway): live-stream /update output + interactive prompt buttons (#5180)
* feat(gateway): live-stream /update output + forward interactive prompts

Adds real-time output streaming and interactive prompt forwarding for
the gateway /update command, so users on Telegram/Discord/etc see the
full update progress and can respond to prompts (stash restore, config
migration) without needing terminal access.

Changes:

hermes_cli/main.py:
- Add --gateway flag to 'hermes update' argparse
- Add _gateway_prompt() file-based IPC function that writes
  .update_prompt.json and polls for .update_response
- Modify _restore_stashed_changes() to accept optional input_fn
  parameter for gateway mode prompt forwarding
- cmd_update() uses _gateway_prompt when --gateway is set, enabling
  interactive stash restore and config migration prompts

gateway/run.py:
- _handle_update_command: spawn with --gateway flag and
  PYTHONUNBUFFERED=1 for real-time output flushing
- Store session_key in .update_pending.json for cross-restart
  session matching
- Add _update_prompt_pending dict to track sessions awaiting
  update prompt responses
- Replace _watch_for_update_completion with _watch_update_progress:
  streams output chunks every ~4s, detects .update_prompt.json and
  forwards prompts to the user, handles completion/failure/timeout
- Add update prompt interception in _handle_message: when a prompt
  is pending, the user's next message is written to .update_response
  instead of being processed normally
- Preserve _send_update_notification as legacy fallback for
  post-restart cases where adapter isn't available yet

File-based IPC protocol:
- .update_prompt.json: written by update process with prompt text,
  default value, and unique ID
- .update_response: written by gateway with user's answer
- .update_output.txt: existing, now streamed in real-time
- .update_exit_code: existing completion marker

Tests: 16 new tests covering _gateway_prompt IPC, output streaming,
prompt detection/forwarding, message interception, and cleanup.

* feat: interactive buttons for update prompts (Telegram + Discord)

Telegram: Inline keyboard with ✓ Yes / ✗ No buttons. Clicking a button
answers the callback query, edits the message to show the choice, and
writes .update_response directly. CallbackQueryHandler registered on
the update_prompt: prefix.

Discord: UpdatePromptView (discord.ui.View) with green Yes / red No
buttons. Follows the ExecApprovalView pattern — auth check, embed color
update, disabled-after-click. Writes .update_response on click.

All platforms: /approve and /deny (and /yes, /no) now work as shorthand
for yes/no when an update prompt is pending. The text fallback message
instructs users to use these commands. Raw message interception still
works as a fallback for non-command responses.

Gateway watcher checks adapter for send_update_prompt method (class-level
check to avoid MagicMock false positives) and falls back to text prompt
with /approve instructions when unavailable.

* fix: block /update on non-messaging platforms (API, webhooks, ACP)

Add _UPDATE_ALLOWED_PLATFORMS frozenset that explicitly lists messaging
platforms where /update is permitted. API server, webhook, and ACP
platforms get a clear error directing them to run hermes update from
the terminal instead.

ACP and API server already don't reach _handle_message (separate
codepaths), and webhooks have distinct session keys that can't collide
with messaging sessions. This guard is belt-and-suspenders.
2026-04-05 00:28:58 -07:00
Teknium 441ec48802 style: use module-level re import instead of local import re as _re 2026-04-05 00:20:53 -07:00
kshitijk4poor 4437354198 Preserve numeric credential labels in auth removal
Resolve exact label matches before treating digit-only input as a positional index so destructive auth removal does not mis-target credentials named with numeric labels.

Constraint: The CLI remove path must keep supporting existing index-based usage while adding safer label targeting
Rejected: Ban numeric labels | labels are free-form and existing users may already rely on them
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: When a destructive command accepts multiple identifier forms, prefer exact identity matches before fallback parsing heuristics
Tested: Focused pytest slice for auth commands, credential pool recovery, and routing (273 passed); py_compile on changed Python files
Not-tested: Full repository pytest suite
2026-04-05 00:20:53 -07:00
kshitijk4poor 65952ac00c Honor provider reset windows in pooled credential failover
Persist structured exhaustion metadata from provider errors, use explicit reset timestamps when available, and expose label-based credential targeting in the auth CLI. This keeps long-lived Codex cooldowns from being misreported as one-hour waits and avoids forcing operators to manage entries by list position alone.

Constraint: Existing credential pool JSON needs to remain backward compatible with stored entries that only record status code and timestamp
Constraint: Runtime recovery must keep the existing retry-then-rotate semantics for 429s while enriching pool state with provider metadata
Rejected: Add a separate credential scheduler subsystem | too large for the Hermes pool architecture and unnecessary for this fix
Rejected: Only change CLI formatting | would leave runtime rotation blind to resets_at and preserve the serial-failure behavior
Confidence: high
Scope-risk: moderate
Reversibility: clean
Directive: Preserve structured rate-limit metadata when new providers expose reset hints; do not collapse back to status-code-only exhaustion tracking
Tested: Focused pytest slice for auth commands, credential pool recovery, and routing (272 passed); py_compile on changed Python files; hermes -w auth list/remove smoke test with temporary HERMES_HOME
Not-tested: Full repository pytest suite, broader gateway/integration flows outside the touched auth and pool paths
2026-04-05 00:20:53 -07:00
Lume ed4a605696 docs: update docstring to mention Fireworks strict validation
Updates _sanitize_tool_calls_for_strict_api docstring to explicitly
mention Fireworks alongside Mistral as strict APIs requiring sanitization.
Also documents the specific fields that are stripped (call_id, response_item_id).
2026-04-05 00:13:25 -07:00
Lume 8545343cba test: add strict API validation tests for Fireworks compatibility
Adds comprehensive tests verifying:
- Fireworks-compatible messages after sanitization
- Codex mode preserves fields for Responses API replay
- Fireworks provider triggers sanitization correctly
- Codex responses mode correctly skips sanitization

Prevents regression of 400 validation errors on strict APIs.
2026-04-05 00:13:25 -07:00
Lume 9be2b18064 test: add test for _should_sanitize_tool_calls()
Adds test verifying that:
- Codex mode returns False (no sanitization needed)
- Chat completions mode returns True (sanitization needed)
- Anthropic mode returns True (sanitization needed)

This ensures strict APIs like Fireworks receive properly sanitized tool_calls.
2026-04-05 00:13:25 -07:00
Lume d90035835b refactor: use _should_sanitize_tool_calls in run_conversation()
Replaces hardcoded Mistral check with the new _should_sanitize_tool_calls()
method. Updates comment to mention Fireworks alongside Mistral as strict
APIs requiring tool_call field sanitization.
2026-04-05 00:13:25 -07:00
Lume 234c01f690 refactor: use _should_sanitize_tool_calls in _handle_max_iterations()
Replaces hardcoded Mistral check with the new _should_sanitize_tool_calls()
method. Ensures summary generation works correctly with Fireworks and
other strict APIs that reject unknown tool_call fields.
2026-04-05 00:13:25 -07:00
Lume 7f6e509199 refactor: use _should_sanitize_tool_calls in flush_memories()
Replaces hardcoded Mistral check with the new _should_sanitize_tool_calls()
method. This ensures tool_calls are sanitized for all strict APIs, not
just Mistral. Prevents 400 errors from Fireworks and other providers.
2026-04-05 00:13:25 -07:00
Lume 560c6ae143 feat: add _should_sanitize_tool_calls() method
Adds a centralized method to determine when tool_calls need sanitization
for strict APIs. Returns True for all APIs except codex_responses mode.
This prevents 400 errors from providers like Fireworks that reject unknown
fields (call_id, response_item_id) in tool_calls.
2026-04-05 00:13:25 -07:00
Teknium 5b003ca4a0 test(redact): add regression tests for lowercase variable redaction (#4367) (#5185)
Add 5 regression tests from PR #4476 (gnanam1990) to prevent re-introducing
the IGNORECASE bug that caused lowercase Python/TypeScript variable assignments
to be incorrectly redacted as secrets. The core fix landed in 6367e1c4.

Tests cover:
- Lowercase Python variable with 'token' in name
- Lowercase Python variable with 'api_key' in name
- TypeScript 'await' not treated as secret value
- TypeScript 'secret' variable assignment
- 'export' prefix preserved for uppercase env vars

Co-authored-by: gnanam1990 <gnanam1990@users.noreply.github.com>
2026-04-05 00:10:16 -07:00
Teknium 0fd3de2674 docs(skill): claude-code v2.2 — add cheat sheet commands, env vars, rules, advanced features (#5158)
Expands the claude-code skill with content from official docs and community
cheat sheets that was missing from v2.0:

Slash commands: /cost, /btw, /plan, /loop, /batch, /security-review,
  /resume, /effort (with auto level), /mcp, /release-notes, /voice details
Keyboard shortcuts: Alt+P (model), Alt+T (thinking), Alt+O (fast mode),
  Ctrl+V (paste image), Ctrl+O (transcript), Ctrl+G (external editor)
Ultrathink keyword for max reasoning on a specific turn
Rules directory: .claude/rules/*.md and ~/.claude/rules/*.md
Auto-memory: ~/.claude/projects/<proj>/memory/ (25KB/200 lines limit)
Environment variables: CLAUDE_CODE_EFFORT_LEVEL, MAX_THINKING_TOKENS,
  CLAUDE_CODE_NO_FLICKER, CLAUDE_CODE_SUBPROCESS_ENV_SCRUB
MCP limits: 2KB tool desc cap, maxResultSizeChars 500K, transport types
Reorganized slash commands into Session/Development/Configuration groups
Reorganized keyboard shortcuts into Controls/Toggles/Multiline groups
2026-04-04 19:15:57 -07:00
Teknium 85cefc7a5a fix(telegram): prevent duplicate message delivery on send timeout (#5153)
TimedOut is a subclass of NetworkError in python-telegram-bot. The
inner retry loop in send() and the outer _send_with_retry() in base.py
both treated it as a transient connection error and retried — but
send_message is not idempotent. When the request reaches Telegram but
the HTTP response times out, the message is already delivered. Retrying
sends duplicates. Worst case: up to 9 copies (inner 3x × outer 3x).

Inner loop (telegram.py):
- Import TimedOut separately, isinstance-check before generic
  NetworkError retry (same pattern as BadRequest carve-out from #3390)
- Re-raise immediately — no retry
- Mark as retryable=False in outer exception handler

Outer loop (base.py):
- Remove 'timeout', 'timed out', 'readtimeout', 'writetimeout' from
  _RETRYABLE_ERROR_PATTERNS (read/write timeouts are delivery-ambiguous)
- Add 'connecttimeout' (safe — connection never established)
- Keep 'network' (other platforms still need it)
- Add _is_timeout_error() + early return to prevent plain-text fallback
  on timeout errors (would also cause duplicate delivery)

Connection errors (ConnectionReset, ConnectError, etc.) are still
retried — these fail before the request reaches the server.

Credit: tmdgusya (PR #3899), barun1997 (PR #3904) for identifying the
bug and proposing fixes.

Closes #3899, closes #3904.
2026-04-04 19:05:34 -07:00
Teknium c8220e69a1 fix: strip MEDIA: directives from streamed gateway messages (#5152)
When streaming is enabled, the GatewayStreamConsumer sends raw text
chunks directly to the platform without post-processing. This causes
MEDIA:/path/to/file tags and [[audio_as_voice]] directives to appear
as visible text in the user's chat instead of being stripped.

The non-streaming path already handles this correctly via
extract_media() in base.py, but the streaming path was missing
equivalent cleanup.

Add _clean_for_display() to GatewayStreamConsumer that strips MEDIA:
tags and internal markers before any text reaches the platform. The
actual media file delivery is unaffected — _deliver_media_from_response()
in gateway/run.py still extracts files from the agent's final_response
(separate from the stream consumer's display text).

Reported by Ao [FotM] on Discord.
2026-04-04 19:05:27 -07:00
Teknium ff544526cd docs(skill): comprehensive claude-code skill rewrite v2.0 (#5155)
Major rewrite of the claude-code orchestration skill from 94 to 460 lines.
Based on official docs research, community guides, and live experimentation.

Key additions:
- Two orchestration modes: Print mode (-p) vs Interactive PTY via tmux
- Detailed PTY dialog handling (trust + permissions bypass patterns)
- Print mode deep dive: JSON output, piped input, session resumption,
  --json-schema, --bare mode for CI
- Complete flag reference (20+ flags organized by category)
- Interactive session patterns with tmux send-keys/capture-pane
- Claude's slash commands and keyboard shortcuts reference
- CLAUDE.md, hooks, custom subagents, MCP, custom commands docs
- Cost/performance tips (effort levels, budget caps, context mgmt)
- 10 specific pitfalls discovered through live testing
- 10 rules for Hermes agents orchestrating Claude Code
2026-04-04 19:00:50 -07:00
memosr 931624feda fix(security): guard cron script against path traversal and redact output
Relative script paths resolved against HERMES_HOME/scripts/ were not
validated to stay within that directory. Paths like '../../etc/passwd'
could escape and be executed as Python.

Fix: resolve the path and verify it stays within scripts_dir using
Path.relative_to(). Also apply redact_sensitive_text() to script stdout
before LLM injection — same pattern as execute_code sandbox output.

Cherry-picked from PR #5093 by memosr (fixes 1 and 3; absolute path
restriction dropped as too restrictive for the feature's design intent).
2026-04-04 17:01:11 -07:00
Teknium aa475aef31 feat: add exit code context for common CLI tools in terminal results (#5144)
When commands like grep, diff, test, or find return non-zero exit codes
that aren't actual errors (grep 1 = no matches, diff 1 = files differ),
the model wastes turns investigating non-problems. This adds an
exit_code_meaning field to the terminal JSON result that explains
informational exit codes, so the agent can move on instead of debugging.

Covers grep/rg/ag/ack (no matches), diff (files differ), find (partial
access), test/[ (condition false), curl (timeouts, DNS, HTTP errors),
and git (context-dependent). Correctly extracts the last command from
pipelines and chains, strips full paths and env var assignments.

The exit_code field itself is unchanged — this is purely additive context.
2026-04-04 16:57:24 -07:00
Teknium 5879b3ef82 fix: move pre_llm_call plugin context to user message, preserve prompt cache (#5146)
Plugin context from pre_llm_call hooks was injected into the system
prompt, breaking the prompt cache prefix every turn when content
changed (typical for memory plugins). Now all plugin context goes
into the current turn's user message — the system prompt stays
identical across turns, preserving cached tokens.

The system prompt is reserved for Hermes internals. Plugins
contribute context alongside the user's input.

Also adds comprehensive documentation for all 6 plugin hooks:
pre_tool_call, post_tool_call, pre_llm_call, post_llm_call,
on_session_start, on_session_end — each with full callback
signatures, parameter tables, firing conditions, and examples.

Supersedes #5138 which identified the same cache-busting bug
and proposed an uncached system suffix approach. This fix goes
further by removing system prompt injection entirely.

Co-identified-by: OutThisLife (PR #5138)
2026-04-04 16:55:44 -07:00
Teknium 96e96a79ad fix: --yolo and other flags silently dropped when placed before 'chat' subcommand (#5145)
When --yolo, -w, -s, -r, -c, and --pass-session-id exist on both the parent
parser and the 'chat' subparser with explicit defaults (default=False or
default=None), argparse's subparser initialization overwrites the parent's
parsed value. So 'hermes --yolo chat' silently drops --yolo, making it appear
broken.

Fix: use default=argparse.SUPPRESS on all duplicated arguments in the chat
subparser. SUPPRESS means 'don't set this attribute if the user didn't
explicitly provide it', so the parent parser's value survives through.

Affected flags: --yolo, --worktree/-w, --skills/-s, --pass-session-id,
--resume/-r, --continue/-c.

Adds 15 regression tests covering flag-before-subcommand, flag-after-subcommand,
no-subcommand, and env var propagation scenarios.
2026-04-04 16:55:13 -07:00
Teknium 55bbf8caba fix: include approval metadata in terminal tool results (#5141)
When a dangerous command is approved (gateway, CLI, or smart approval),
the terminal tool now includes an 'approval' field in the result JSON
so the model knows approval was requested and granted. Previously the
model only saw normal command output with no indication that approval
happened, causing it to hallucinate that the approval system didn't fire.

Changes:
- approval.py: Return user_approved/description in all 3 approval paths
  (gateway blocking, CLI interactive, smart approval)
- terminal_tool.py: Capture approval metadata and inject into both
  foreground and background command results
2026-04-04 16:33:20 -07:00
355 changed files with 59914 additions and 4058 deletions
+10
View File
@@ -14,6 +14,16 @@
# LLM_MODEL is no longer read from .env — this line is kept for reference only.
# LLM_MODEL=anthropic/claude-opus-4.6
# =============================================================================
# LLM PROVIDER (Google AI Studio / Gemini)
# =============================================================================
# Native Gemini API via Google's OpenAI-compatible endpoint.
# Get your key at: https://aistudio.google.com/app/apikey
# GOOGLE_API_KEY=your_google_ai_studio_key_here
# GEMINI_API_KEY=your_gemini_key_here # alias for GOOGLE_API_KEY
# Optional base URL override (default: Google's OpenAI-compatible endpoint)
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
# =============================================================================
# LLM PROVIDER (z.ai / GLM)
# =============================================================================
+8 -4
View File
@@ -54,14 +54,18 @@ def make_tool_progress_cb(
Signature expected by AIAgent::
tool_progress_callback(name: str, preview: str, args: dict)
tool_progress_callback(event_type: str, name: str, preview: str, args: dict, **kwargs)
Emits ``ToolCallStart`` for each tool invocation and tracks IDs in a FIFO
Emits ``ToolCallStart`` for ``tool.started`` events and tracks IDs in a FIFO
queue per tool name so duplicate/parallel same-name calls still complete
against the correct ACP tool call.
against the correct ACP tool call. Other event types (``tool.completed``,
``reasoning.available``) are silently ignored.
"""
def _tool_progress(name: str, preview: str, args: Any = None) -> None:
def _tool_progress(event_type: str, name: str = None, preview: str = None, args: Any = None, **kwargs) -> None:
# Only emit ACP ToolCallStart for tool.started; ignore other event types
if event_type != "tool.started":
return
if isinstance(args, str):
try:
args = json.loads(args)
+134 -16
View File
@@ -12,7 +12,8 @@ import acp
from acp.schema import (
AgentCapabilities,
AuthenticateResponse,
AuthMethod,
AvailableCommand,
AvailableCommandsUpdate,
ClientCapabilities,
EmbeddedResourceContentBlock,
ForkSessionResponse,
@@ -37,9 +38,16 @@ from acp.schema import (
SessionListCapabilities,
SessionInfo,
TextContentBlock,
UnstructuredCommandInput,
Usage,
)
# AuthMethodAgent was renamed from AuthMethod in agent-client-protocol 0.9.0
try:
from acp.schema import AuthMethodAgent
except ImportError:
from acp.schema import AuthMethod as AuthMethodAgent # type: ignore[attr-defined]
from acp_adapter.auth import detect_provider, has_provider
from acp_adapter.events import (
make_message_cb,
@@ -84,6 +92,48 @@ def _extract_text(
class HermesACPAgent(acp.Agent):
"""ACP Agent implementation wrapping Hermes AIAgent."""
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
_ADVERTISED_COMMANDS = (
{
"name": "help",
"description": "List available commands",
},
{
"name": "model",
"description": "Show current model and provider, or switch models",
"input_hint": "model name to switch to",
},
{
"name": "tools",
"description": "List available tools with descriptions",
},
{
"name": "context",
"description": "Show conversation message counts by role",
},
{
"name": "reset",
"description": "Clear conversation history",
},
{
"name": "compact",
"description": "Compress conversation context",
},
{
"name": "version",
"description": "Show Hermes version",
},
)
def __init__(self, session_manager: SessionManager | None = None):
super().__init__()
self.session_manager = session_manager or SessionManager()
@@ -177,7 +227,7 @@ class HermesACPAgent(acp.Agent):
auth_methods = None
if provider:
auth_methods = [
AuthMethod(
AuthMethodAgent(
id=provider,
name=f"{provider} runtime credentials",
description=f"Authenticate Hermes using the currently configured {provider} runtime credentials.",
@@ -219,6 +269,7 @@ class HermesACPAgent(acp.Agent):
state = self.session_manager.create_session(cwd=cwd)
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("New session %s (cwd=%s)", state.session_id, cwd)
self._schedule_available_commands_update(state.session_id)
return NewSessionResponse(session_id=state.session_id)
async def load_session(
@@ -234,6 +285,7 @@ class HermesACPAgent(acp.Agent):
return None
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Loaded session %s", session_id)
self._schedule_available_commands_update(session_id)
return LoadSessionResponse()
async def resume_session(
@@ -249,6 +301,7 @@ class HermesACPAgent(acp.Agent):
state = self.session_manager.create_session(cwd=cwd)
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Resumed session %s", state.session_id)
self._schedule_available_commands_update(state.session_id)
return ResumeSessionResponse()
async def cancel(self, session_id: str, **kwargs: Any) -> None:
@@ -274,6 +327,8 @@ class HermesACPAgent(acp.Agent):
if state is not None:
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Forked session %s -> %s", session_id, new_id)
if new_id:
self._schedule_available_commands_update(new_id)
return ForkSessionResponse(session_id=new_id)
async def list_sessions(
@@ -411,15 +466,50 @@ class HermesACPAgent(acp.Agent):
# ---- Slash commands (headless) -------------------------------------------
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
@classmethod
def _available_commands(cls) -> list[AvailableCommand]:
commands: list[AvailableCommand] = []
for spec in cls._ADVERTISED_COMMANDS:
input_hint = spec.get("input_hint")
commands.append(
AvailableCommand(
name=spec["name"],
description=spec["description"],
input=UnstructuredCommandInput(hint=input_hint)
if input_hint
else None,
)
)
return commands
async def _send_available_commands_update(self, session_id: str) -> None:
"""Advertise supported slash commands to the connected ACP client."""
if not self._conn:
return
try:
await self._conn.session_update(
session_id=session_id,
update=AvailableCommandsUpdate(
sessionUpdate="available_commands_update",
availableCommands=self._available_commands(),
),
)
except Exception:
logger.warning(
"Failed to advertise ACP slash commands for session %s",
session_id,
exc_info=True,
)
def _schedule_available_commands_update(self, session_id: str) -> None:
"""Send the command advertisement after the session response is queued."""
if not self._conn:
return
loop = asyncio.get_running_loop()
loop.call_soon(
asyncio.create_task, self._send_available_commands_update(session_id)
)
def _handle_slash_command(self, text: str, state: SessionState) -> str | None:
"""Dispatch a slash command and return the response text.
@@ -539,11 +629,39 @@ class HermesACPAgent(acp.Agent):
return "Nothing to compress — conversation is empty."
try:
agent = state.agent
if hasattr(agent, "compress_context"):
agent.compress_context(state.history)
self.session_manager.save_session(state.session_id)
return f"Context compressed. Messages: {len(state.history)}"
return "Context compression not available for this agent."
if not getattr(agent, "compression_enabled", True):
return "Context compression is disabled for this agent."
if not hasattr(agent, "_compress_context"):
return "Context compression not available for this agent."
from agent.model_metadata import estimate_messages_tokens_rough
original_count = len(state.history)
approx_tokens = estimate_messages_tokens_rough(state.history)
original_session_db = getattr(agent, "_session_db", None)
try:
# ACP sessions must keep a stable session id, so avoid the
# SQLite session-splitting side effect inside _compress_context.
agent._session_db = None
compressed, _ = agent._compress_context(
state.history,
getattr(agent, "_cached_system_prompt", "") or "",
approx_tokens=approx_tokens,
task_id=state.session_id,
)
finally:
agent._session_db = original_session_db
state.history = compressed
self.session_manager.save_session(state.session_id)
new_count = len(state.history)
new_tokens = estimate_messages_tokens_rough(state.history)
return (
f"Context compressed: {original_count} -> {new_count} messages\n"
f"~{approx_tokens:,} -> ~{new_tokens:,} tokens"
)
except Exception as e:
return f"Compression failed: {e}"
+17 -1
View File
@@ -13,6 +13,7 @@ from hermes_constants import get_hermes_home
import copy
import json
import logging
import sys
import uuid
from dataclasses import dataclass, field
from threading import Lock
@@ -21,6 +22,17 @@ from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
def _acp_stderr_print(*args, **kwargs) -> None:
"""Best-effort human-readable output sink for ACP stdio sessions.
ACP reserves stdout for JSON-RPC frames, so any incidental CLI/status output
from AIAgent must be redirected away from stdout. Route it to stderr instead.
"""
kwargs = dict(kwargs)
kwargs.setdefault("file", sys.stderr)
print(*args, **kwargs)
def _register_task_cwd(task_id: str, cwd: str) -> None:
"""Bind a task/session id to the editor's working directory for tools."""
if not task_id:
@@ -458,4 +470,8 @@ class SessionManager:
logger.debug("ACP session falling back to default provider resolution", exc_info=True)
_register_task_cwd(session_id, cwd)
return AIAgent(**kwargs)
agent = AIAgent(**kwargs)
# ACP stdio transport requires stdout to remain protocol-only JSON-RPC.
# Route any incidental human-readable agent output to stderr instead.
agent._print_fn = _acp_stderr_print
return agent
-1
View File
@@ -39,7 +39,6 @@ TOOL_KIND_MAP: Dict[str, ToolKind] = {
"browser_scroll": "execute",
"browser_press": "execute",
"browser_back": "execute",
"browser_close": "execute",
"browser_get_images": "read",
# Agent internals
"delegate_task": "execute",
+179 -22
View File
@@ -34,6 +34,12 @@ than the provider's default.
Per-task direct endpoint overrides (e.g. AUXILIARY_VISION_BASE_URL,
AUXILIARY_VISION_API_KEY) let callers route a specific auxiliary task to a
custom OpenAI-compatible endpoint without touching the main model settings.
Payment / credit exhaustion fallback:
When a resolved provider returns HTTP 402 or a credit-related error,
call_llm() automatically retries with the next available provider in the
auto-detection chain. This handles the common case where a user depletes
their OpenRouter balance but has Codex OAuth or another provider available.
"""
import json
@@ -55,6 +61,7 @@ logger = logging.getLogger(__name__)
# Default auxiliary models for direct API-key providers (cheap/fast for side tasks)
_API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"gemini": "gemini-3-flash-preview",
"zai": "glm-4.5-flash",
"kimi-coding": "kimi-k2-turbo-preview",
"minimax": "MiniMax-M2.7-highspeed",
@@ -253,26 +260,73 @@ class _CodexCompletionsAdapter:
usage = None
try:
# Collect output items and text deltas during streaming —
# the Codex backend can return empty response.output from
# get_final_response() even when items were streamed.
collected_output_items: List[Any] = []
collected_text_deltas: List[str] = []
has_function_calls = False
with self._client.responses.stream(**resp_kwargs) as stream:
for _event in stream:
pass
_etype = getattr(_event, "type", "")
if _etype == "response.output_item.done":
_done = getattr(_event, "item", None)
if _done is not None:
collected_output_items.append(_done)
elif "output_text.delta" in _etype:
_delta = getattr(_event, "delta", "")
if _delta:
collected_text_deltas.append(_delta)
elif "function_call" in _etype:
has_function_calls = True
final = stream.get_final_response()
# Extract text and tool calls from the Responses output
# Backfill empty output from collected stream events
_output = getattr(final, "output", None)
if isinstance(_output, list) and not _output:
if collected_output_items:
final.output = list(collected_output_items)
logger.debug(
"Codex auxiliary: backfilled %d output items from stream events",
len(collected_output_items),
)
elif collected_text_deltas and not has_function_calls:
# Only synthesize text when no tool calls were streamed —
# a function_call response with incidental text should not
# be collapsed into a plain-text message.
assembled = "".join(collected_text_deltas)
final.output = [SimpleNamespace(
type="message", role="assistant", status="completed",
content=[SimpleNamespace(type="output_text", text=assembled)],
)]
logger.debug(
"Codex auxiliary: synthesized from %d deltas (%d chars)",
len(collected_text_deltas), len(assembled),
)
# Extract text and tool calls from the Responses output.
# Items may be SDK objects (attrs) or dicts (raw/fallback paths),
# so use a helper that handles both shapes.
def _item_get(obj: Any, key: str, default: Any = None) -> Any:
val = getattr(obj, key, None)
if val is None and isinstance(obj, dict):
val = obj.get(key, default)
return val if val is not None else default
for item in getattr(final, "output", []):
item_type = getattr(item, "type", None)
item_type = _item_get(item, "type")
if item_type == "message":
for part in getattr(item, "content", []):
ptype = getattr(part, "type", None)
for part in (_item_get(item, "content") or []):
ptype = _item_get(part, "type")
if ptype in ("output_text", "text"):
text_parts.append(getattr(part, "text", ""))
text_parts.append(_item_get(part, "text", ""))
elif item_type == "function_call":
tool_calls_raw.append(SimpleNamespace(
id=getattr(item, "call_id", ""),
id=_item_get(item, "call_id", ""),
type="function",
function=SimpleNamespace(
name=getattr(item, "name", ""),
arguments=getattr(item, "arguments", "{}"),
name=_item_get(item, "name", ""),
arguments=_item_get(item, "arguments", "{}"),
),
))
@@ -842,7 +896,7 @@ def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[st
if forced == "nous":
client, model = _try_nous()
if client is None:
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes login)")
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes auth)")
return client, model
if forced == "codex":
@@ -873,10 +927,90 @@ _AUTO_PROVIDER_LABELS = {
"_resolve_api_key_provider": "api-key",
}
_AGGREGATOR_PROVIDERS = frozenset({"openrouter", "nous"})
def _get_provider_chain() -> List[tuple]:
"""Return the ordered provider detection chain.
Built at call time (not module level) so that test patches
on the ``_try_*`` functions are picked up correctly.
"""
return [
("openrouter", _try_openrouter),
("nous", _try_nous),
("local/custom", _try_custom_endpoint),
("openai-codex", _try_codex),
("api-key", _resolve_api_key_provider),
]
def _is_payment_error(exc: Exception) -> bool:
"""Detect payment/credit/quota exhaustion errors.
Returns True for HTTP 402 (Payment Required) and for 429/other errors
whose message indicates billing exhaustion rather than rate limiting.
"""
status = getattr(exc, "status_code", None)
if status == 402:
return True
err_lower = str(exc).lower()
# OpenRouter and other providers include "credits" or "afford" in 402 bodies,
# but sometimes wrap them in 429 or other codes.
if status in (402, 429, None):
if any(kw in err_lower for kw in ("credits", "insufficient funds",
"can only afford", "billing",
"payment required")):
return True
return False
def _try_payment_fallback(
failed_provider: str,
task: str = None,
) -> Tuple[Optional[Any], Optional[str], str]:
"""Try alternative providers after a payment/credit error.
Iterates the standard auto-detection chain, skipping the provider that
returned a payment error.
Returns:
(client, model, provider_label) or (None, None, "") if no fallback.
"""
# Normalise the failed provider label for matching.
skip = failed_provider.lower().strip()
# Also skip Step-1 main-provider path if it maps to the same backend.
# (e.g. main_provider="openrouter" → skip "openrouter" in chain)
main_provider = _read_main_provider()
skip_labels = {skip}
if main_provider and main_provider.lower() in skip:
skip_labels.add(main_provider.lower())
# Map common resolved_provider values back to chain labels.
_alias_to_label = {"openrouter": "openrouter", "nous": "nous",
"openai-codex": "openai-codex", "codex": "openai-codex",
"custom": "local/custom", "local/custom": "local/custom"}
skip_chain_labels = {_alias_to_label.get(s, s) for s in skip_labels}
tried = []
for label, try_fn in _get_provider_chain():
if label in skip_chain_labels:
continue
client, model = try_fn()
if client is not None:
logger.info(
"Auxiliary %s: payment error on %s — falling back to %s (%s)",
task or "call", failed_provider, label, model or "default",
)
return client, model, label
tried.append(label)
logger.warning(
"Auxiliary %s: payment error on %s and no fallback available (tried: %s)",
task or "call", failed_provider, ", ".join(tried),
)
return None, None, ""
def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Full auto-detection chain.
@@ -904,10 +1038,7 @@ def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
# ── Step 2: aggregator / fallback chain ──────────────────────────────
tried = []
for try_fn in (_try_openrouter, _try_nous, _try_custom_endpoint,
_try_codex, _resolve_api_key_provider):
fn_name = getattr(try_fn, "__name__", "unknown")
label = _AUTO_PROVIDER_LABELS.get(fn_name, fn_name)
for label, try_fn in _get_provider_chain():
client, model = try_fn()
if client is not None:
if tried:
@@ -1035,7 +1166,7 @@ def resolve_provider_client(
client, default = _try_nous()
if client is None:
logger.warning("resolve_provider_client: nous requested "
"but Nous Portal not configured (run: hermes login)")
"but Nous Portal not configured (run: hermes auth)")
return None, None
final_model = model or default
return (_to_async_client(client, final_model) if async_mode
@@ -1785,12 +1916,15 @@ def call_llm(
f"was found. Set the {_explicit.upper()}_API_KEY environment "
f"variable, or switch to a different provider with `hermes model`."
)
# For auto/custom, fall back to OpenRouter
# For auto/custom with no credentials, try the full auto chain
# rather than hardcoding OpenRouter (which may be depleted).
# Pass model=None so each provider uses its own default —
# resolved_model may be an OpenRouter-format slug that doesn't
# work on other providers.
if not resolved_base_url:
logger.info("Auxiliary %s: provider %s unavailable, falling back to openrouter",
logger.info("Auxiliary %s: provider %s unavailable, trying auto-detection chain",
task or "call", resolved_provider)
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL)
client, final_model = _get_cached_client("auto")
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
@@ -1811,7 +1945,7 @@ def call_llm(
tools=tools, timeout=effective_timeout, extra_body=extra_body,
base_url=resolved_base_url)
# Handle max_tokens vs max_completion_tokens retry
# Handle max_tokens vs max_completion_tokens retry, then payment fallback.
try:
return client.chat.completions.create(**kwargs)
except Exception as first_err:
@@ -1819,7 +1953,30 @@ def call_llm(
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
kwargs.pop("max_tokens", None)
kwargs["max_completion_tokens"] = max_tokens
return client.chat.completions.create(**kwargs)
try:
return client.chat.completions.create(**kwargs)
except Exception as retry_err:
# If the max_tokens retry also hits a payment error,
# fall through to the payment fallback below.
if not _is_payment_error(retry_err):
raise
first_err = retry_err
# ── Payment / credit exhaustion fallback ──────────────────────
# When the resolved provider returns 402 or a credit-related error,
# try alternative providers instead of giving up. This handles the
# common case where a user runs out of OpenRouter credits but has
# Codex OAuth or another provider available.
if _is_payment_error(first_err):
fb_client, fb_model, fb_label = _try_payment_fallback(
resolved_provider, task)
if fb_client is not None:
fb_kwargs = _build_call_kwargs(
fb_label, fb_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout,
extra_body=extra_body)
return fb_client.chat.completions.create(**fb_kwargs)
raise
+24 -4
View File
@@ -14,6 +14,7 @@ Improvements over v1:
"""
import logging
import time
from typing import Any, Dict, List, Optional
from agent.auxiliary_client import call_llm
@@ -46,6 +47,7 @@ _PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
# Chars per token rough estimate
_CHARS_PER_TOKEN = 4
_SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
class ContextCompressor:
@@ -118,6 +120,7 @@ class ContextCompressor:
# Stores the previous compaction summary for iterative updates
self._previous_summary: Optional[str] = None
self._summary_failure_cooldown_until: float = 0.0
def update_from_response(self, usage: Dict[str, Any]):
"""Update tracked token usage from API response."""
@@ -258,6 +261,14 @@ class ContextCompressor:
the middle turns without a summary rather than inject a useless
placeholder.
"""
now = time.monotonic()
if now < self._summary_failure_cooldown_until:
logger.debug(
"Skipping context summary during cooldown (%.0fs remaining)",
self._summary_failure_cooldown_until - now,
)
return None
summary_budget = self._compute_summary_budget(turns_to_summarize)
content_to_summarize = self._serialize_for_summary(turns_to_summarize)
@@ -345,7 +356,6 @@ Write only the summary body. Do not include any preamble or prefix."""
call_kwargs = {
"task": "compression",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.3,
"max_tokens": summary_budget * 2,
# timeout resolved from auxiliary.compression.timeout config by call_llm
}
@@ -359,13 +369,23 @@ Write only the summary body. Do not include any preamble or prefix."""
summary = content.strip()
# Store for iterative updates on next compaction
self._previous_summary = summary
self._summary_failure_cooldown_until = 0.0
return self._with_summary_prefix(summary)
except RuntimeError:
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning("Context compression: no provider available for "
"summary. Middle turns will be dropped without summary.")
"summary. Middle turns will be dropped without summary "
"for %d seconds.",
_SUMMARY_FAILURE_COOLDOWN_SECONDS)
return None
except Exception as e:
logging.warning("Failed to generate context summary: %s", e)
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning(
"Failed to generate context summary: %s. "
"Further summary attempts paused for %d seconds.",
e,
_SUMMARY_FAILURE_COOLDOWN_SECONDS,
)
return None
@staticmethod
@@ -648,7 +668,7 @@ Write only the summary body. Do not include any preamble or prefix."""
compressed.append({"role": summary_role, "content": summary})
else:
if not self.quiet_mode:
logger.warning("No summary model available — middle turns dropped without summary")
logger.debug("No summary model available — middle turns dropped without summary")
for i in range(compress_end, n_messages):
msg = messages[i].copy()
+130 -7
View File
@@ -11,6 +11,7 @@ from __future__ import annotations
import json
import os
import queue
import re
import shlex
import subprocess
import threading
@@ -23,6 +24,9 @@ from typing import Any
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
_TOOL_CALL_BLOCK_RE = re.compile(r"<tool_call>\s*(\{.*?\})\s*</tool_call>", re.DOTALL)
_TOOL_CALL_JSON_RE = re.compile(r"\{\s*\"id\"\s*:\s*\"[^\"]+\"\s*,\s*\"type\"\s*:\s*\"function\"\s*,\s*\"function\"\s*:\s*\{.*?\}\s*\}", re.DOTALL)
def _resolve_command() -> str:
return (
@@ -50,15 +54,50 @@ def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
}
def _format_messages_as_prompt(messages: list[dict[str, Any]], model: str | None = None) -> str:
def _format_messages_as_prompt(
messages: list[dict[str, Any]],
model: str | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
) -> str:
sections: list[str] = [
"You are being used as the active ACP agent backend for Hermes.",
"Use your own ACP capabilities and respond directly in natural language.",
"Do not emit OpenAI tool-call JSON.",
"Use ACP capabilities to complete tasks.",
"IMPORTANT: If you take an action with a tool, you MUST output tool calls using <tool_call>{...}</tool_call> blocks with JSON exactly in OpenAI function-call shape.",
"If no tool is needed, answer normally.",
]
if model:
sections.append(f"Hermes requested model hint: {model}")
if isinstance(tools, list) and tools:
tool_specs: 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 isinstance(name, str) or not name.strip():
continue
tool_specs.append(
{
"name": name.strip(),
"description": fn.get("description", ""),
"parameters": fn.get("parameters", {}),
}
)
if tool_specs:
sections.append(
"Available tools (OpenAI function schema). "
"When using a tool, emit ONLY <tool_call>{...}</tool_call> with one JSON object "
"containing id/type/function{name,arguments}. arguments must be a JSON string.\n"
+ json.dumps(tool_specs, ensure_ascii=False)
)
if tool_choice is not None:
sections.append(f"Tool choice hint: {json.dumps(tool_choice, ensure_ascii=False)}")
transcript: list[str] = []
for message in messages:
if not isinstance(message, dict):
@@ -114,6 +153,80 @@ def _render_message_content(content: Any) -> str:
return str(content).strip()
def _extract_tool_calls_from_text(text: str) -> tuple[list[SimpleNamespace], str]:
if not isinstance(text, str) or not text.strip():
return [], ""
extracted: list[SimpleNamespace] = []
consumed_spans: list[tuple[int, int]] = []
def _try_add_tool_call(raw_json: str) -> None:
try:
obj = json.loads(raw_json)
except Exception:
return
if not isinstance(obj, dict):
return
fn = obj.get("function")
if not isinstance(fn, dict):
return
fn_name = fn.get("name")
if not isinstance(fn_name, str) or not fn_name.strip():
return
fn_args = fn.get("arguments", "{}")
if not isinstance(fn_args, str):
fn_args = json.dumps(fn_args, ensure_ascii=False)
call_id = obj.get("id")
if not isinstance(call_id, str) or not call_id.strip():
call_id = f"acp_call_{len(extracted)+1}"
extracted.append(
SimpleNamespace(
id=call_id,
call_id=call_id,
response_item_id=None,
type="function",
function=SimpleNamespace(name=fn_name.strip(), arguments=fn_args),
)
)
for m in _TOOL_CALL_BLOCK_RE.finditer(text):
raw = m.group(1)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
# Only try bare-JSON fallback when no XML blocks were found.
if not extracted:
for m in _TOOL_CALL_JSON_RE.finditer(text):
raw = m.group(0)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
if not consumed_spans:
return extracted, text.strip()
consumed_spans.sort()
merged: list[tuple[int, int]] = []
for start, end in consumed_spans:
if not merged or start > merged[-1][1]:
merged.append((start, end))
else:
merged[-1] = (merged[-1][0], max(merged[-1][1], end))
parts: list[str] = []
cursor = 0
for start, end in merged:
if cursor < start:
parts.append(text[cursor:start])
cursor = max(cursor, end)
if cursor < len(text):
parts.append(text[cursor:])
cleaned = "\n".join(p.strip() for p in parts if p and p.strip()).strip()
return extracted, cleaned
def _ensure_path_within_cwd(path_text: str, cwd: str) -> Path:
candidate = Path(path_text)
if not candidate.is_absolute():
@@ -190,14 +303,23 @@ class CopilotACPClient:
model: str | None = None,
messages: list[dict[str, Any]] | None = None,
timeout: float | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
**_: Any,
) -> Any:
prompt_text = _format_messages_as_prompt(messages or [], model=model)
prompt_text = _format_messages_as_prompt(
messages or [],
model=model,
tools=tools,
tool_choice=tool_choice,
)
response_text, reasoning_text = self._run_prompt(
prompt_text,
timeout_seconds=float(timeout or _DEFAULT_TIMEOUT_SECONDS),
)
tool_calls, cleaned_text = _extract_tool_calls_from_text(response_text)
usage = SimpleNamespace(
prompt_tokens=0,
completion_tokens=0,
@@ -205,13 +327,14 @@ class CopilotACPClient:
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
assistant_message = SimpleNamespace(
content=response_text,
tool_calls=[],
content=cleaned_text,
tool_calls=tool_calls,
reasoning=reasoning_text or None,
reasoning_content=reasoning_text or None,
reasoning_details=None,
)
choice = SimpleNamespace(message=assistant_message, finish_reason="stop")
finish_reason = "tool_calls" if tool_calls else "stop"
choice = SimpleNamespace(message=assistant_message, finish_reason=finish_reason)
return SimpleNamespace(
choices=[choice],
usage=usage,
+273 -10
View File
@@ -8,7 +8,9 @@ import threading
import time
import uuid
import os
import re
from dataclasses import dataclass, fields, replace
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional, Set, Tuple
from hermes_constants import OPENROUTER_BASE_URL
@@ -21,9 +23,11 @@ from hermes_cli.auth import (
_agent_key_is_usable,
_codex_access_token_is_expiring,
_decode_jwt_claims,
_import_codex_cli_tokens,
_is_expiring,
_load_auth_store,
_load_provider_state,
_resolve_zai_base_url,
read_credential_pool,
write_credential_pool,
)
@@ -95,6 +99,9 @@ class PooledCredential:
last_status: Optional[str] = None
last_status_at: Optional[float] = None
last_error_code: Optional[int] = None
last_error_reason: Optional[str] = None
last_error_message: Optional[str] = None
last_error_reset_at: Optional[float] = None
base_url: Optional[str] = None
expires_at: Optional[str] = None
expires_at_ms: Optional[int] = None
@@ -129,7 +136,14 @@ class PooledCredential:
return cls(provider=provider, **data)
def to_dict(self) -> Dict[str, Any]:
_ALWAYS_EMIT = {"last_status", "last_status_at", "last_error_code"}
_ALWAYS_EMIT = {
"last_status",
"last_status_at",
"last_error_code",
"last_error_reason",
"last_error_message",
"last_error_reset_at",
}
result: Dict[str, Any] = {}
for field_def in fields(self):
if field_def.name in ("provider", "extra"):
@@ -180,6 +194,85 @@ def _exhausted_ttl(error_code: Optional[int]) -> int:
return EXHAUSTED_TTL_DEFAULT_SECONDS
def _parse_absolute_timestamp(value: Any) -> Optional[float]:
"""Best-effort parse for provider reset timestamps.
Accepts epoch seconds, epoch milliseconds, and ISO-8601 strings.
Returns seconds since epoch.
"""
if value is None or value == "":
return None
if isinstance(value, (int, float)):
numeric = float(value)
if numeric <= 0:
return None
return numeric / 1000.0 if numeric > 1_000_000_000_000 else numeric
if isinstance(value, str):
raw = value.strip()
if not raw:
return None
try:
numeric = float(raw)
except ValueError:
numeric = None
if numeric is not None:
return numeric / 1000.0 if numeric > 1_000_000_000_000 else numeric
try:
return datetime.fromisoformat(raw.replace("Z", "+00:00")).timestamp()
except ValueError:
return None
return None
def _extract_retry_delay_seconds(message: str) -> Optional[float]:
if not message:
return None
delay_match = re.search(r"quotaResetDelay[:\s\"]+(\d+(?:\.\d+)?)(ms|s)", message, re.IGNORECASE)
if delay_match:
value = float(delay_match.group(1))
return value / 1000.0 if delay_match.group(2).lower() == "ms" else value
sec_match = re.search(r"retry\s+(?:after\s+)?(\d+(?:\.\d+)?)\s*(?:sec|secs|seconds|s\b)", message, re.IGNORECASE)
if sec_match:
return float(sec_match.group(1))
return None
def _normalize_error_context(error_context: Optional[Dict[str, Any]]) -> Dict[str, Any]:
if not isinstance(error_context, dict):
return {}
normalized: Dict[str, Any] = {}
reason = error_context.get("reason")
if isinstance(reason, str) and reason.strip():
normalized["reason"] = reason.strip()
message = error_context.get("message")
if isinstance(message, str) and message.strip():
normalized["message"] = message.strip()
reset_at = (
error_context.get("reset_at")
or error_context.get("resets_at")
or error_context.get("retry_until")
)
parsed_reset_at = _parse_absolute_timestamp(reset_at)
if parsed_reset_at is None and isinstance(message, str):
retry_delay_seconds = _extract_retry_delay_seconds(message)
if retry_delay_seconds is not None:
parsed_reset_at = time.time() + retry_delay_seconds
if parsed_reset_at is not None:
normalized["reset_at"] = parsed_reset_at
return normalized
def _exhausted_until(entry: PooledCredential) -> Optional[float]:
if entry.last_status != STATUS_EXHAUSTED:
return None
reset_at = _parse_absolute_timestamp(getattr(entry, "last_error_reset_at", None))
if reset_at is not None:
return reset_at
if entry.last_status_at:
return entry.last_status_at + _exhausted_ttl(entry.last_error_code)
return None
def _normalize_custom_pool_name(name: str) -> str:
"""Normalize a custom provider name for use as a pool key suffix."""
return name.strip().lower().replace(" ", "-")
@@ -256,6 +349,9 @@ def get_pool_strategy(provider: str) -> str:
return STRATEGY_FILL_FIRST
DEFAULT_MAX_CONCURRENT_PER_CREDENTIAL = 1
class CredentialPool:
def __init__(self, provider: str, entries: List[PooledCredential]):
self.provider = provider
@@ -263,6 +359,8 @@ class CredentialPool:
self._current_id: Optional[str] = None
self._strategy = get_pool_strategy(provider)
self._lock = threading.Lock()
self._active_leases: Dict[str, int] = {}
self._max_concurrent = DEFAULT_MAX_CONCURRENT_PER_CREDENTIAL
def has_credentials(self) -> bool:
return bool(self._entries)
@@ -292,12 +390,21 @@ class CredentialPool:
[entry.to_dict() for entry in self._entries],
)
def _mark_exhausted(self, entry: PooledCredential, status_code: Optional[int]) -> PooledCredential:
def _mark_exhausted(
self,
entry: PooledCredential,
status_code: Optional[int],
error_context: Optional[Dict[str, Any]] = None,
) -> PooledCredential:
normalized_error = _normalize_error_context(error_context)
updated = replace(
entry,
last_status=STATUS_EXHAUSTED,
last_status_at=time.time(),
last_error_code=status_code,
last_error_reason=normalized_error.get("reason"),
last_error_message=normalized_error.get("message"),
last_error_reset_at=normalized_error.get("reset_at"),
)
self._replace_entry(entry, updated)
self._persist()
@@ -340,6 +447,39 @@ class CredentialPool:
logger.debug("Failed to sync from credentials file: %s", exc)
return entry
def _sync_codex_entry_from_cli(self, entry: PooledCredential) -> PooledCredential:
"""Sync an openai-codex pool entry from ~/.codex/auth.json if tokens differ.
OpenAI OAuth refresh tokens are single-use and rotate on every refresh.
When the Codex CLI (or another Hermes profile) refreshes its token,
the pool entry's refresh_token becomes stale. This method detects that
by comparing against ~/.codex/auth.json and syncing the fresh pair.
"""
if self.provider != "openai-codex":
return entry
try:
cli_tokens = _import_codex_cli_tokens()
if not cli_tokens:
return entry
cli_refresh = cli_tokens.get("refresh_token", "")
cli_access = cli_tokens.get("access_token", "")
if cli_refresh and cli_refresh != entry.refresh_token:
logger.debug("Pool entry %s: syncing tokens from ~/.codex/auth.json (refresh token changed)", entry.id)
updated = replace(
entry,
access_token=cli_access,
refresh_token=cli_refresh,
last_status=None,
last_status_at=None,
last_error_code=None,
)
self._replace_entry(entry, updated)
self._persist()
return updated
except Exception as exc:
logger.debug("Failed to sync from ~/.codex/auth.json: %s", exc)
return entry
def _refresh_entry(self, entry: PooledCredential, *, force: bool) -> Optional[PooledCredential]:
if entry.auth_type != AUTH_TYPE_OAUTH or not entry.refresh_token:
if force:
@@ -462,7 +602,15 @@ class CredentialPool:
self._mark_exhausted(entry, None)
return None
updated = replace(updated, last_status=STATUS_OK, last_status_at=None, last_error_code=None)
updated = replace(
updated,
last_status=STATUS_OK,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
self._replace_entry(entry, updated)
self._persist()
return updated
@@ -521,12 +669,30 @@ class CredentialPool:
if synced is not entry:
entry = synced
cleared_any = True
# For openai-codex entries, sync from ~/.codex/auth.json before
# any status/refresh checks. This picks up tokens refreshed by
# the Codex CLI or another Hermes profile.
if (self.provider == "openai-codex"
and entry.last_status == STATUS_EXHAUSTED
and entry.refresh_token):
synced = self._sync_codex_entry_from_cli(entry)
if synced is not entry:
entry = synced
cleared_any = True
if entry.last_status == STATUS_EXHAUSTED:
ttl = _exhausted_ttl(entry.last_error_code)
if entry.last_status_at and now - entry.last_status_at < ttl:
exhausted_until = _exhausted_until(entry)
if exhausted_until is not None and now < exhausted_until:
continue
if clear_expired:
cleared = replace(entry, last_status=STATUS_OK, last_status_at=None, last_error_code=None)
cleared = replace(
entry,
last_status=STATUS_OK,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
self._replace_entry(entry, cleared)
entry = cleared
cleared_any = True
@@ -544,6 +710,7 @@ class CredentialPool:
available = self._available_entries(clear_expired=True, refresh=True)
if not available:
self._current_id = None
logger.info("credential pool: no available entries (all exhausted or empty)")
return None
if self._strategy == STRATEGY_RANDOM:
@@ -576,14 +743,73 @@ class CredentialPool:
available = self._available_entries()
return available[0] if available else None
def mark_exhausted_and_rotate(self, *, status_code: Optional[int]) -> Optional[PooledCredential]:
def mark_exhausted_and_rotate(
self,
*,
status_code: Optional[int],
error_context: Optional[Dict[str, Any]] = None,
) -> Optional[PooledCredential]:
with self._lock:
entry = self.current() or self._select_unlocked()
if entry is None:
return None
self._mark_exhausted(entry, status_code)
_label = entry.label or entry.id[:8]
logger.info(
"credential pool: marking %s exhausted (status=%s), rotating",
_label, status_code,
)
self._mark_exhausted(entry, status_code, error_context)
self._current_id = None
return self._select_unlocked()
next_entry = self._select_unlocked()
if next_entry:
_next_label = next_entry.label or next_entry.id[:8]
logger.info("credential pool: rotated to %s", _next_label)
return next_entry
def acquire_lease(self, credential_id: Optional[str] = None) -> Optional[str]:
"""Acquire a soft lease on a credential.
If a specific credential_id is provided, lease that entry directly.
Otherwise prefer the least-leased available credential, using priority as
a stable tie-breaker. When every credential is already at the soft cap,
still return the least-leased one instead of blocking.
"""
with self._lock:
if credential_id:
self._active_leases[credential_id] = self._active_leases.get(credential_id, 0) + 1
self._current_id = credential_id
return credential_id
available = self._available_entries(clear_expired=True, refresh=True)
if not available:
return None
below_cap = [
entry for entry in available
if self._active_leases.get(entry.id, 0) < self._max_concurrent
]
candidates = below_cap if below_cap else available
chosen = min(
candidates,
key=lambda entry: (self._active_leases.get(entry.id, 0), entry.priority),
)
self._active_leases[chosen.id] = self._active_leases.get(chosen.id, 0) + 1
self._current_id = chosen.id
return chosen.id
def release_lease(self, credential_id: str) -> None:
"""Release a previously acquired credential lease."""
with self._lock:
count = self._active_leases.get(credential_id, 0)
if count <= 1:
self._active_leases.pop(credential_id, None)
else:
self._active_leases[credential_id] = count - 1
def active_lease_count(self, credential_id: str) -> int:
"""Return the number of active leases for a credential."""
with self._lock:
return self._active_leases.get(credential_id, 0)
def try_refresh_current(self) -> Optional[PooledCredential]:
with self._lock:
@@ -603,7 +829,17 @@ class CredentialPool:
new_entries = []
for entry in self._entries:
if entry.last_status or entry.last_status_at or entry.last_error_code:
new_entries.append(replace(entry, last_status=None, last_status_at=None, last_error_code=None))
new_entries.append(
replace(
entry,
last_status=None,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
)
count += 1
else:
new_entries.append(entry)
@@ -625,6 +861,31 @@ class CredentialPool:
self._current_id = None
return removed
def resolve_target(self, target: Any) -> Tuple[Optional[int], Optional[PooledCredential], Optional[str]]:
raw = str(target or "").strip()
if not raw:
return None, None, "No credential target provided."
for idx, entry in enumerate(self._entries, start=1):
if entry.id == raw:
return idx, entry, None
label_matches = [
(idx, entry)
for idx, entry in enumerate(self._entries, start=1)
if entry.label.strip().lower() == raw.lower()
]
if len(label_matches) == 1:
return label_matches[0][0], label_matches[0][1], None
if len(label_matches) > 1:
return None, None, f'Ambiguous credential label "{raw}". Use the numeric index or entry id instead.'
if raw.isdigit():
index = int(raw)
if 1 <= index <= len(self._entries):
return index, self._entries[index - 1], None
return None, None, f"No credential #{index}."
return None, None, f'No credential matching "{raw}".'
def add_entry(self, entry: PooledCredential) -> PooledCredential:
entry = replace(entry, priority=_next_priority(self._entries))
self._entries.append(entry)
@@ -826,6 +1087,8 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
active_sources.add(source)
auth_type = AUTH_TYPE_OAUTH if provider == "anthropic" and not token.startswith("sk-ant-api") else AUTH_TYPE_API_KEY
base_url = env_url or pconfig.inference_base_url
if provider == "zai":
base_url = _resolve_zai_base_url(token, pconfig.inference_base_url, env_url)
changed |= _upsert_entry(
entries,
provider,
-2
View File
@@ -890,8 +890,6 @@ def get_cute_tool_message(
return _wrap(f"┊ ◀️ back {dur}")
if tool_name == "browser_press":
return _wrap(f"┊ ⌨️ press {args.get('key', '?')} {dur}")
if tool_name == "browser_close":
return _wrap(f"┊ 🚪 close browser {dur}")
if tool_name == "browser_get_images":
return _wrap(f"┊ 🖼️ images extracting {dur}")
if tool_name == "browser_vision":
+31
View File
@@ -30,6 +30,7 @@ from __future__ import annotations
import json
import logging
import re
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
@@ -37,6 +38,36 @@ from agent.memory_provider import MemoryProvider
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Context fencing helpers
# ---------------------------------------------------------------------------
_FENCE_TAG_RE = re.compile(r'</?\s*memory-context\s*>', re.IGNORECASE)
def sanitize_context(text: str) -> str:
"""Strip fence-escape sequences from provider output."""
return _FENCE_TAG_RE.sub('', text)
def build_memory_context_block(raw_context: str) -> str:
"""Wrap prefetched memory in a fenced block with system note.
The fence prevents the model from treating recalled context as user
discourse. Injected at API-call time only — never persisted.
"""
if not raw_context or not raw_context.strip():
return ""
clean = sanitize_context(raw_context)
return (
"<memory-context>\n"
"[System note: The following is recalled memory context, "
"NOT new user input. Treat as informational background data.]\n\n"
f"{clean}\n"
"</memory-context>"
)
class MemoryManager:
"""Orchestrates the built-in provider plus at most one external provider.
+8 -2
View File
@@ -24,10 +24,11 @@ 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",
"zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"gemini", "zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
@@ -101,6 +102,11 @@ DEFAULT_CONTEXT_LENGTHS = {
"gpt-4": 128000,
# Google
"gemini": 1048576,
# Gemma (open models served via AI Studio)
"gemma-4-31b": 256000,
"gemma-4-26b": 256000,
"gemma-3": 131072,
"gemma": 8192, # fallback for older gemma models
# DeepSeek
"deepseek": 128000,
# Meta
@@ -175,7 +181,7 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"dashscope.aliyuncs.com": "alibaba",
"dashscope-intl.aliyuncs.com": "alibaba",
"openrouter.ai": "openrouter",
"generativelanguage.googleapis.com": "google",
"generativelanguage.googleapis.com": "gemini",
"inference-api.nousresearch.com": "nous",
"api.deepseek.com": "deepseek",
"api.githubcopilot.com": "copilot",
+617 -8
View File
@@ -1,19 +1,31 @@
"""Models.dev registry integration for provider-aware context length detection.
"""Models.dev registry integration — primary database for providers and models.
Fetches model metadata from https://models.dev/api.json — a community-maintained
database of 3800+ models across 100+ providers, including per-provider context
windows, pricing, and capabilities.
Fetches from https://models.dev/api.json — a community-maintained database
of 4000+ models across 109+ providers. Provides:
Data is cached in memory (1hr TTL) and on disk (~/.hermes/models_dev_cache.json)
to avoid cold-start network latency.
- **Provider metadata**: name, base URL, env vars, documentation link
- **Model metadata**: context window, max output, cost/M tokens, capabilities
(reasoning, tools, vision, PDF, audio), modalities, knowledge cutoff,
open-weights flag, family grouping, deprecation status
Data resolution order (like TypeScript OpenCode):
1. Bundled snapshot (ships with the package — offline-first)
2. Disk cache (~/.hermes/models_dev_cache.json)
3. Network fetch (https://models.dev/api.json)
4. Background refresh every 60 minutes
Other modules should import the dataclasses and query functions from here
rather than parsing the raw JSON themselves.
"""
import difflib
import json
import logging
import os
import time
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Dict, Optional
from typing import Any, Dict, List, Optional, Tuple, Union
from utils import atomic_json_write
@@ -28,7 +40,110 @@ _MODELS_DEV_CACHE_TTL = 3600 # 1 hour in-memory
_models_dev_cache: Dict[str, Any] = {}
_models_dev_cache_time: float = 0
# Provider ID mapping: Hermes provider names → models.dev provider IDs
# ---------------------------------------------------------------------------
# Dataclasses — rich metadata for providers and models
# ---------------------------------------------------------------------------
@dataclass
class ModelInfo:
"""Full metadata for a single model from models.dev."""
id: str
name: str
family: str
provider_id: str # models.dev provider ID (e.g. "anthropic")
# Capabilities
reasoning: bool = False
tool_call: bool = False
attachment: bool = False # supports image/file attachments (vision)
temperature: bool = False
structured_output: bool = False
open_weights: bool = False
# Modalities
input_modalities: Tuple[str, ...] = () # ("text", "image", "pdf", ...)
output_modalities: Tuple[str, ...] = ()
# Limits
context_window: int = 0
max_output: int = 0
max_input: Optional[int] = None
# Cost (per million tokens, USD)
cost_input: float = 0.0
cost_output: float = 0.0
cost_cache_read: Optional[float] = None
cost_cache_write: Optional[float] = None
# Metadata
knowledge_cutoff: str = ""
release_date: str = ""
status: str = "" # "alpha", "beta", "deprecated", or ""
interleaved: Any = False # True or {"field": "reasoning_content"}
def has_cost_data(self) -> bool:
return self.cost_input > 0 or self.cost_output > 0
def supports_vision(self) -> bool:
return self.attachment or "image" in self.input_modalities
def supports_pdf(self) -> bool:
return "pdf" in self.input_modalities
def supports_audio_input(self) -> bool:
return "audio" in self.input_modalities
def format_cost(self) -> str:
"""Human-readable cost string, e.g. '$3.00/M in, $15.00/M out'."""
if not self.has_cost_data():
return "unknown"
parts = [f"${self.cost_input:.2f}/M in", f"${self.cost_output:.2f}/M out"]
if self.cost_cache_read is not None:
parts.append(f"cache read ${self.cost_cache_read:.2f}/M")
return ", ".join(parts)
def format_capabilities(self) -> str:
"""Human-readable capabilities, e.g. 'reasoning, tools, vision, PDF'."""
caps = []
if self.reasoning:
caps.append("reasoning")
if self.tool_call:
caps.append("tools")
if self.supports_vision():
caps.append("vision")
if self.supports_pdf():
caps.append("PDF")
if self.supports_audio_input():
caps.append("audio")
if self.structured_output:
caps.append("structured output")
if self.open_weights:
caps.append("open weights")
return ", ".join(caps) if caps else "basic"
@dataclass
class ProviderInfo:
"""Full metadata for a provider from models.dev."""
id: str # models.dev provider ID
name: str # display name
env: Tuple[str, ...] # env var names for API key
api: str # base URL
doc: str = "" # documentation URL
model_count: int = 0
def has_api_url(self) -> bool:
return bool(self.api)
# ---------------------------------------------------------------------------
# Provider ID mapping: Hermes ↔ models.dev
# ---------------------------------------------------------------------------
# Hermes provider names → models.dev provider IDs
PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"openrouter": "openrouter",
"anthropic": "anthropic",
@@ -44,8 +159,29 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"opencode-go": "opencode-go",
"kilocode": "kilo",
"fireworks": "fireworks-ai",
"huggingface": "huggingface",
"gemini": "google",
"google": "google",
"xai": "xai",
"nvidia": "nvidia",
"groq": "groq",
"mistral": "mistral",
"togetherai": "togetherai",
"perplexity": "perplexity",
"cohere": "cohere",
}
# Reverse mapping: models.dev → Hermes (built lazily)
_MODELS_DEV_TO_PROVIDER: Optional[Dict[str, str]] = None
def _get_reverse_mapping() -> Dict[str, str]:
"""Return models.dev ID → Hermes provider ID mapping."""
global _MODELS_DEV_TO_PROVIDER
if _MODELS_DEV_TO_PROVIDER is None:
_MODELS_DEV_TO_PROVIDER = {v: k for k, v in PROVIDER_TO_MODELS_DEV.items()}
return _MODELS_DEV_TO_PROVIDER
def _get_cache_path() -> Path:
"""Return path to disk cache file."""
@@ -170,3 +306,476 @@ def _extract_context(entry: Dict[str, Any]) -> Optional[int]:
if isinstance(ctx, (int, float)) and ctx > 0:
return int(ctx)
return None
# ---------------------------------------------------------------------------
# Model capability metadata
# ---------------------------------------------------------------------------
@dataclass
class ModelCapabilities:
"""Structured capability metadata for a model from models.dev."""
supports_tools: bool = True
supports_vision: bool = False
supports_reasoning: bool = False
context_window: int = 200000
max_output_tokens: int = 8192
model_family: str = ""
def _get_provider_models(provider: str) -> Optional[Dict[str, Any]]:
"""Resolve a Hermes provider ID to its models dict from models.dev.
Returns the models dict or None if the provider is unknown or has no data.
"""
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return None
data = fetch_models_dev()
provider_data = data.get(mdev_provider_id)
if not isinstance(provider_data, dict):
return None
models = provider_data.get("models", {})
if not isinstance(models, dict):
return None
return models
def _find_model_entry(models: Dict[str, Any], model: str) -> Optional[Dict[str, Any]]:
"""Find a model entry by exact match, then case-insensitive fallback."""
# Exact match
entry = models.get(model)
if isinstance(entry, dict):
return entry
# Case-insensitive match
model_lower = model.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return mdata
return None
def get_model_capabilities(provider: str, model: str) -> Optional[ModelCapabilities]:
"""Look up full capability metadata from models.dev cache.
Uses the existing fetch_models_dev() and PROVIDER_TO_MODELS_DEV mapping.
Returns None if model not found.
Extracts from model entry fields:
- reasoning (bool) → supports_reasoning
- tool_call (bool) → supports_tools
- attachment (bool) → supports_vision
- limit.context (int) → context_window
- limit.output (int) → max_output_tokens
- family (str) → model_family
"""
models = _get_provider_models(provider)
if models is None:
return None
entry = _find_model_entry(models, model)
if entry is None:
return None
# Extract capability flags (default to False if missing)
supports_tools = bool(entry.get("tool_call", False))
supports_vision = bool(entry.get("attachment", False))
supports_reasoning = bool(entry.get("reasoning", False))
# Extract limits
limit = entry.get("limit", {})
if not isinstance(limit, dict):
limit = {}
ctx = limit.get("context")
context_window = int(ctx) if isinstance(ctx, (int, float)) and ctx > 0 else 200000
out = limit.get("output")
max_output_tokens = int(out) if isinstance(out, (int, float)) and out > 0 else 8192
model_family = entry.get("family", "") or ""
return ModelCapabilities(
supports_tools=supports_tools,
supports_vision=supports_vision,
supports_reasoning=supports_reasoning,
context_window=context_window,
max_output_tokens=max_output_tokens,
model_family=model_family,
)
def list_provider_models(provider: str) -> List[str]:
"""Return all model IDs for a provider from models.dev.
Returns an empty list if the provider is unknown or has no data.
"""
models = _get_provider_models(provider)
if models is None:
return []
return list(models.keys())
# Patterns that indicate non-agentic or noise models (TTS, embedding,
# dated preview snapshots, live/streaming-only, image-only).
import re
_NOISE_PATTERNS: re.Pattern = re.compile(
r"-tts\b|embedding|live-|-(preview|exp)-\d{2,4}[-_]|"
r"-image\b|-image-preview\b|-customtools\b",
re.IGNORECASE,
)
def list_agentic_models(provider: str) -> List[str]:
"""Return model IDs suitable for agentic use from models.dev.
Filters for tool_call=True and excludes noise (TTS, embedding,
dated preview snapshots, live/streaming, image-only models).
Returns an empty list on any failure.
"""
models = _get_provider_models(provider)
if models is None:
return []
result = []
for mid, entry in models.items():
if not isinstance(entry, dict):
continue
if not entry.get("tool_call", False):
continue
if _NOISE_PATTERNS.search(mid):
continue
result.append(mid)
return result
def search_models_dev(
query: str, provider: str = None, limit: int = 5
) -> List[Dict[str, Any]]:
"""Fuzzy search across models.dev catalog. Returns matching model entries.
Args:
query: Search string to match against model IDs.
provider: Optional Hermes provider ID to restrict search scope.
If None, searches across all providers in PROVIDER_TO_MODELS_DEV.
limit: Maximum number of results to return.
Returns:
List of dicts, each containing 'provider', 'model_id', and the full
model 'entry' from models.dev.
"""
data = fetch_models_dev()
if not data:
return []
# Build list of (provider_id, model_id, entry) candidates
candidates: List[tuple] = []
if provider is not None:
# Search only the specified provider
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return []
provider_data = data.get(mdev_provider_id, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((provider, mid, mdata))
else:
# Search across all mapped providers
for hermes_prov, mdev_prov in PROVIDER_TO_MODELS_DEV.items():
provider_data = data.get(mdev_prov, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((hermes_prov, mid, mdata))
if not candidates:
return []
# Use difflib for fuzzy matching — case-insensitive comparison
model_ids_lower = [c[1].lower() for c in candidates]
query_lower = query.lower()
# First try exact substring matches (more intuitive than pure edit-distance)
substring_matches = []
for prov, mid, mdata in candidates:
if query_lower in mid.lower():
substring_matches.append({"provider": prov, "model_id": mid, "entry": mdata})
# Then add difflib fuzzy matches for any remaining slots
fuzzy_ids = difflib.get_close_matches(
query_lower, model_ids_lower, n=limit * 2, cutoff=0.4
)
seen_ids: set = set()
results: List[Dict[str, Any]] = []
# Prioritize substring matches
for match in substring_matches:
key = (match["provider"], match["model_id"])
if key not in seen_ids:
seen_ids.add(key)
results.append(match)
if len(results) >= limit:
return results
# Add fuzzy matches
for fid in fuzzy_ids:
# Find original-case candidates matching this lowered ID
for prov, mid, mdata in candidates:
if mid.lower() == fid:
key = (prov, mid)
if key not in seen_ids:
seen_ids.add(key)
results.append({"provider": prov, "model_id": mid, "entry": mdata})
if len(results) >= limit:
return results
return results
# ---------------------------------------------------------------------------
# Rich dataclass constructors — parse raw models.dev JSON into dataclasses
# ---------------------------------------------------------------------------
def _parse_model_info(model_id: str, raw: Dict[str, Any], provider_id: str) -> ModelInfo:
"""Convert a raw models.dev model entry dict into a ModelInfo dataclass."""
limit = raw.get("limit") or {}
if not isinstance(limit, dict):
limit = {}
cost = raw.get("cost") or {}
if not isinstance(cost, dict):
cost = {}
modalities = raw.get("modalities") or {}
if not isinstance(modalities, dict):
modalities = {}
input_mods = modalities.get("input") or []
output_mods = modalities.get("output") or []
ctx = limit.get("context")
ctx_int = int(ctx) if isinstance(ctx, (int, float)) and ctx > 0 else 0
out = limit.get("output")
out_int = int(out) if isinstance(out, (int, float)) and out > 0 else 0
inp = limit.get("input")
inp_int = int(inp) if isinstance(inp, (int, float)) and inp > 0 else None
return ModelInfo(
id=model_id,
name=raw.get("name", "") or model_id,
family=raw.get("family", "") or "",
provider_id=provider_id,
reasoning=bool(raw.get("reasoning", False)),
tool_call=bool(raw.get("tool_call", False)),
attachment=bool(raw.get("attachment", False)),
temperature=bool(raw.get("temperature", False)),
structured_output=bool(raw.get("structured_output", False)),
open_weights=bool(raw.get("open_weights", False)),
input_modalities=tuple(input_mods) if isinstance(input_mods, list) else (),
output_modalities=tuple(output_mods) if isinstance(output_mods, list) else (),
context_window=ctx_int,
max_output=out_int,
max_input=inp_int,
cost_input=float(cost.get("input", 0) or 0),
cost_output=float(cost.get("output", 0) or 0),
cost_cache_read=float(cost["cache_read"]) if "cache_read" in cost and cost["cache_read"] is not None else None,
cost_cache_write=float(cost["cache_write"]) if "cache_write" in cost and cost["cache_write"] is not None else None,
knowledge_cutoff=raw.get("knowledge", "") or "",
release_date=raw.get("release_date", "") or "",
status=raw.get("status", "") or "",
interleaved=raw.get("interleaved", False),
)
def _parse_provider_info(provider_id: str, raw: Dict[str, Any]) -> ProviderInfo:
"""Convert a raw models.dev provider entry dict into a ProviderInfo."""
env = raw.get("env") or []
models = raw.get("models") or {}
return ProviderInfo(
id=provider_id,
name=raw.get("name", "") or provider_id,
env=tuple(env) if isinstance(env, list) else (),
api=raw.get("api", "") or "",
doc=raw.get("doc", "") or "",
model_count=len(models) if isinstance(models, dict) else 0,
)
# ---------------------------------------------------------------------------
# Provider-level queries
# ---------------------------------------------------------------------------
def get_provider_info(provider_id: str) -> Optional[ProviderInfo]:
"""Get full provider metadata from models.dev.
Accepts either a Hermes provider ID (e.g. "kilocode") or a models.dev
ID (e.g. "kilo"). Returns None if the provider is not in the catalog.
"""
# Resolve Hermes ID → models.dev ID
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
raw = data.get(mdev_id)
if not isinstance(raw, dict):
return None
return _parse_provider_info(mdev_id, raw)
def list_all_providers() -> Dict[str, ProviderInfo]:
"""Return all providers from models.dev as {provider_id: ProviderInfo}.
Returns the full catalog — 109+ providers. For providers that have
a Hermes alias, both the models.dev ID and the Hermes ID are included.
"""
data = fetch_models_dev()
result: Dict[str, ProviderInfo] = {}
for pid, pdata in data.items():
if isinstance(pdata, dict):
info = _parse_provider_info(pid, pdata)
result[pid] = info
return result
def get_providers_for_env_var(env_var: str) -> List[str]:
"""Reverse lookup: find all providers that use a given env var.
Useful for auto-detection: "user has ANTHROPIC_API_KEY set, which
providers does that enable?"
Returns list of models.dev provider IDs.
"""
data = fetch_models_dev()
matches: List[str] = []
for pid, pdata in data.items():
if isinstance(pdata, dict):
env = pdata.get("env", [])
if isinstance(env, list) and env_var in env:
matches.append(pid)
return matches
# ---------------------------------------------------------------------------
# Model-level queries (rich ModelInfo)
# ---------------------------------------------------------------------------
def get_model_info(
provider_id: str, model_id: str
) -> Optional[ModelInfo]:
"""Get full model metadata from models.dev.
Accepts Hermes or models.dev provider ID. Tries exact match then
case-insensitive fallback. Returns None if not found.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return None
models = pdata.get("models", {})
if not isinstance(models, dict):
return None
# Exact match
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive fallback
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
return None
def get_model_info_any_provider(model_id: str) -> Optional[ModelInfo]:
"""Search all providers for a model by ID.
Useful when you have a full slug like "anthropic/claude-sonnet-4.6" or
a bare name and want to find it anywhere. Checks Hermes-mapped providers
first, then falls back to all models.dev providers.
"""
data = fetch_models_dev()
# Try Hermes-mapped providers first (more likely what the user wants)
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
# Fall back to ALL providers
for pid, pdata in data.items():
if pid in _get_reverse_mapping():
continue # already checked
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, pid)
return None
def list_provider_model_infos(provider_id: str) -> List[ModelInfo]:
"""Return all models for a provider as ModelInfo objects.
Filters out deprecated models by default.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return []
models = pdata.get("models", {})
if not isinstance(models, dict):
return []
result: List[ModelInfo] = []
for mid, mdata in models.items():
if not isinstance(mdata, dict):
continue
status = mdata.get("status", "")
if status == "deprecated":
continue
result.append(_parse_model_info(mid, mdata, mdev_id))
return result
+43 -4
View File
@@ -187,7 +187,47 @@ TOOL_USE_ENFORCEMENT_GUIDANCE = (
# Model name substrings that trigger tool-use enforcement guidance.
# Add new patterns here when a model family needs explicit steering.
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex", "gemini", "gemma")
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex", "gemini", "gemma", "grok")
# OpenAI GPT/Codex-specific execution guidance. Addresses known failure modes
# where GPT models abandon work on partial results, skip prerequisite lookups,
# hallucinate instead of using tools, and declare "done" without verification.
# Inspired by patterns from OpenAI's GPT-5.4 prompting guide & OpenClaw PR #38953.
OPENAI_MODEL_EXECUTION_GUIDANCE = (
"# Execution discipline\n"
"<tool_persistence>\n"
"- Use tools whenever they improve correctness, completeness, or grounding.\n"
"- Do not stop early when another tool call would materially improve the result.\n"
"- If a tool returns empty or partial results, retry with a different query or "
"strategy before giving up.\n"
"- Keep calling tools until: (1) the task is complete, AND (2) you have verified "
"the result.\n"
"</tool_persistence>\n"
"\n"
"<prerequisite_checks>\n"
"- Before taking an action, check whether prerequisite discovery, lookup, or "
"context-gathering steps are needed.\n"
"- Do not skip prerequisite steps just because the final action seems obvious.\n"
"- If a task depends on output from a prior step, resolve that dependency first.\n"
"</prerequisite_checks>\n"
"\n"
"<verification>\n"
"Before finalizing your response:\n"
"- Correctness: does the output satisfy every stated requirement?\n"
"- Grounding: are factual claims backed by tool outputs or provided context?\n"
"- Formatting: does the output match the requested format or schema?\n"
"- Safety: if the next step has side effects (file writes, commands, API calls), "
"confirm scope before executing.\n"
"</verification>\n"
"\n"
"<missing_context>\n"
"- If required context is missing, do NOT guess or hallucinate an answer.\n"
"- Use the appropriate lookup tool when missing information is retrievable "
"(search_files, web_search, read_file, etc.).\n"
"- Ask a clarifying question only when the information cannot be retrieved by tools.\n"
"- If you must proceed with incomplete information, label assumptions explicitly.\n"
"</missing_context>"
)
# Gemini/Gemma-specific operational guidance, adapted from OpenCode's gemini.txt.
# Injected alongside TOOL_USE_ENFORCEMENT_GUIDANCE when the model is Gemini or Gemma.
@@ -704,7 +744,6 @@ def build_nous_subscription_prompt(valid_tool_names: "set[str] | None" = None) -
"browser_type",
"browser_scroll",
"browser_console",
"browser_close",
"browser_press",
"browser_get_images",
"browser_vision",
@@ -734,13 +773,13 @@ def build_nous_subscription_prompt(valid_tool_names: "set[str] | None" = None) -
lines = [
"# Nous Subscription",
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browserbase) by default. Modal execution is optional.",
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browser Use) by default. Modal execution is optional.",
"Current capability status:",
]
lines.extend(_status_line(feature) for feature in features.items())
lines.extend(
[
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browserbase API keys.",
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browser-Use API keys.",
"If the user is not subscribed and asks for a capability that Nous subscription would unlock or simplify, suggest Nous subscription as one option alongside direct setup or local alternatives.",
"Do not mention subscription unless the user asks about it or it directly solves the current missing capability.",
"Useful commands: hermes setup, hermes setup tools, hermes setup terminal, hermes status.",
+6
View File
@@ -48,6 +48,12 @@ _PREFIX_PATTERNS = [
r"sk_[A-Za-z0-9_]{10,}", # ElevenLabs TTS key (sk_ underscore, not sk- dash)
r"tvly-[A-Za-z0-9]{10,}", # Tavily search API key
r"exa_[A-Za-z0-9]{10,}", # Exa search API key
r"gsk_[A-Za-z0-9]{10,}", # Groq Cloud API key
r"syt_[A-Za-z0-9]{10,}", # Matrix access token
r"retaindb_[A-Za-z0-9]{10,}", # RetainDB API key
r"hsk-[A-Za-z0-9]{10,}", # Hindsight API key
r"mem0_[A-Za-z0-9]{10,}", # Mem0 Platform API key
r"brv_[A-Za-z0-9]{10,}", # ByteRover API key
]
# ENV assignment patterns: KEY=value where KEY contains a secret-like name
+71
View File
@@ -16,6 +16,9 @@ logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
# Patterns for sanitizing skill names into clean hyphen-separated slugs.
_SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
_SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
def build_plan_path(
@@ -76,6 +79,45 @@ def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tu
return loaded_skill, skill_dir, skill_name
def _inject_skill_config(loaded_skill: dict[str, Any], parts: list[str]) -> None:
"""Resolve and inject skill-declared config values into the message parts.
If the loaded skill's frontmatter declares ``metadata.hermes.config``
entries, their current values (from config.yaml or defaults) are appended
as a ``[Skill config: ...]`` block so the agent knows the configured values
without needing to read config.yaml itself.
"""
try:
from agent.skill_utils import (
extract_skill_config_vars,
parse_frontmatter,
resolve_skill_config_values,
)
# The loaded_skill dict contains the raw content which includes frontmatter
raw_content = str(loaded_skill.get("raw_content") or loaded_skill.get("content") or "")
if not raw_content:
return
frontmatter, _ = parse_frontmatter(raw_content)
config_vars = extract_skill_config_vars(frontmatter)
if not config_vars:
return
resolved = resolve_skill_config_values(config_vars)
if not resolved:
return
lines = ["", "[Skill config (from ~/.hermes/config.yaml):"]
for key, value in resolved.items():
display_val = str(value) if value else "(not set)"
lines.append(f" {key} = {display_val}")
lines.append("]")
parts.extend(lines)
except Exception:
pass # Non-critical — skill still loads without config injection
def _build_skill_message(
loaded_skill: dict[str, Any],
skill_dir: Path | None,
@@ -90,6 +132,9 @@ def _build_skill_message(
parts = [activation_note, "", content.strip()]
# ── Inject resolved skill config values ──
_inject_skill_config(loaded_skill, parts)
if loaded_skill.get("setup_skipped"):
parts.extend(
[
@@ -196,7 +241,14 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
description = line[:80]
break
seen_names.add(name)
# Normalize to hyphen-separated slug, stripping
# non-alnum chars (e.g. +, /) to avoid invalid
# Telegram command names downstream.
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
cmd_name = _SKILL_INVALID_CHARS.sub('', cmd_name)
cmd_name = _SKILL_MULTI_HYPHEN.sub('-', cmd_name).strip('-')
if not cmd_name:
continue
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
@@ -217,6 +269,25 @@ def get_skill_commands() -> Dict[str, Dict[str, Any]]:
return _skill_commands
def resolve_skill_command_key(command: str) -> Optional[str]:
"""Resolve a user-typed /command to its canonical skill_cmds key.
Skills are always stored with hyphens — ``scan_skill_commands`` normalizes
spaces and underscores to hyphens when building the key. Hyphens and
underscores are treated interchangeably in user input: this matches
``_check_unavailable_skill`` and accommodates Telegram bot-command names
(which disallow hyphens, so ``/claude-code`` is registered as
``/claude_code`` and comes back in the underscored form).
Returns the matching ``/slug`` key from ``get_skill_commands()`` or
``None`` if no match.
"""
if not command:
return None
cmd_key = f"/{command.replace('_', '-')}"
return cmd_key if cmd_key in get_skill_commands() else None
def build_skill_invocation_message(
cmd_key: str,
user_instruction: str = "",
+157
View File
@@ -254,6 +254,163 @@ def extract_skill_conditions(frontmatter: Dict[str, Any]) -> Dict[str, List]:
}
# ── Skill config extraction ───────────────────────────────────────────────
def extract_skill_config_vars(frontmatter: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Extract config variable declarations from parsed frontmatter.
Skills declare config.yaml settings they need via::
metadata:
hermes:
config:
- key: wiki.path
description: Path to the LLM Wiki knowledge base directory
default: "~/wiki"
prompt: Wiki directory path
Returns a list of dicts with keys: ``key``, ``description``, ``default``,
``prompt``. Invalid or incomplete entries are silently skipped.
"""
metadata = frontmatter.get("metadata")
if not isinstance(metadata, dict):
return []
hermes = metadata.get("hermes")
if not isinstance(hermes, dict):
return []
raw = hermes.get("config")
if not raw:
return []
if isinstance(raw, dict):
raw = [raw]
if not isinstance(raw, list):
return []
result: List[Dict[str, Any]] = []
seen: set = set()
for item in raw:
if not isinstance(item, dict):
continue
key = str(item.get("key", "")).strip()
if not key or key in seen:
continue
# Must have at least key and description
desc = str(item.get("description", "")).strip()
if not desc:
continue
entry: Dict[str, Any] = {
"key": key,
"description": desc,
}
default = item.get("default")
if default is not None:
entry["default"] = default
prompt_text = item.get("prompt")
if isinstance(prompt_text, str) and prompt_text.strip():
entry["prompt"] = prompt_text.strip()
else:
entry["prompt"] = desc
seen.add(key)
result.append(entry)
return result
def discover_all_skill_config_vars() -> List[Dict[str, Any]]:
"""Scan all enabled skills and collect their config variable declarations.
Walks every skills directory, parses each SKILL.md frontmatter, and returns
a deduplicated list of config var dicts. Each dict also includes a
``skill`` key with the skill name for attribution.
Disabled and platform-incompatible skills are excluded.
"""
all_vars: List[Dict[str, Any]] = []
seen_keys: set = set()
disabled = get_disabled_skill_names()
for skills_dir in get_all_skills_dirs():
if not skills_dir.is_dir():
continue
for skill_file in iter_skill_index_files(skills_dir, "SKILL.md"):
try:
raw = skill_file.read_text(encoding="utf-8")
frontmatter, _ = parse_frontmatter(raw)
except Exception:
continue
skill_name = frontmatter.get("name") or skill_file.parent.name
if str(skill_name) in disabled:
continue
if not skill_matches_platform(frontmatter):
continue
config_vars = extract_skill_config_vars(frontmatter)
for var in config_vars:
if var["key"] not in seen_keys:
var["skill"] = str(skill_name)
all_vars.append(var)
seen_keys.add(var["key"])
return all_vars
# Storage prefix: all skill config vars are stored under skills.config.*
# in config.yaml. Skill authors declare logical keys (e.g. "wiki.path");
# the system adds this prefix for storage and strips it for display.
SKILL_CONFIG_PREFIX = "skills.config"
def _resolve_dotpath(config: Dict[str, Any], dotted_key: str):
"""Walk a nested dict following a dotted key. Returns None if any part is missing."""
parts = dotted_key.split(".")
current = config
for part in parts:
if isinstance(current, dict) and part in current:
current = current[part]
else:
return None
return current
def resolve_skill_config_values(
config_vars: List[Dict[str, Any]],
) -> Dict[str, Any]:
"""Resolve current values for skill config vars from config.yaml.
Skill config is stored under ``skills.config.<key>`` in config.yaml.
Returns a dict mapping **logical** keys (as declared by skills) to their
current values (or the declared default if the key isn't set).
Path values are expanded via ``os.path.expanduser``.
"""
config_path = get_hermes_home() / "config.yaml"
config: Dict[str, Any] = {}
if config_path.exists():
try:
parsed = yaml_load(config_path.read_text(encoding="utf-8"))
if isinstance(parsed, dict):
config = parsed
except Exception:
pass
resolved: Dict[str, Any] = {}
for var in config_vars:
logical_key = var["key"]
storage_key = f"{SKILL_CONFIG_PREFIX}.{logical_key}"
value = _resolve_dotpath(config, storage_key)
if value is None or (isinstance(value, str) and not value.strip()):
value = var.get("default", "")
# Expand ~ in path-like values
if isinstance(value, str) and ("~" in value or "${" in value):
value = os.path.expanduser(os.path.expandvars(value))
resolved[logical_key] = value
return resolved
# ── Description extraction ────────────────────────────────────────────────
+219
View File
@@ -0,0 +1,219 @@
"""Progressive subdirectory hint discovery.
As the agent navigates into subdirectories via tool calls (read_file, terminal,
search_files, etc.), this module discovers and loads project context files
(AGENTS.md, CLAUDE.md, .cursorrules) from those directories. Discovered hints
are appended to the tool result so the model gets relevant context at the moment
it starts working in a new area of the codebase.
This complements the startup context loading in ``prompt_builder.py`` which only
loads from the CWD. Subdirectory hints are discovered lazily and injected into
the conversation without modifying the system prompt (preserving prompt caching).
Inspired by Block/goose's SubdirectoryHintTracker.
"""
import logging
import os
import re
import shlex
from pathlib import Path
from typing import Dict, Any, Optional, Set
from agent.prompt_builder import _scan_context_content
logger = logging.getLogger(__name__)
# Context files to look for in subdirectories, in priority order.
# Same filenames as prompt_builder.py but we load ALL found (not first-wins)
# since different subdirectories may use different conventions.
_HINT_FILENAMES = [
"AGENTS.md", "agents.md",
"CLAUDE.md", "claude.md",
".cursorrules",
]
# Maximum chars per hint file to prevent context bloat
_MAX_HINT_CHARS = 8_000
# Tool argument keys that typically contain file paths
_PATH_ARG_KEYS = {"path", "file_path", "workdir"}
# Tools that take shell commands where we should extract paths
_COMMAND_TOOLS = {"terminal"}
# How many parent directories to walk up when looking for hints.
# Prevents scanning all the way to / for deeply nested paths.
_MAX_ANCESTOR_WALK = 5
class SubdirectoryHintTracker:
"""Track which directories the agent visits and load hints on first access.
Usage::
tracker = SubdirectoryHintTracker(working_dir="/path/to/project")
# After each tool call:
hints = tracker.check_tool_call("read_file", {"path": "backend/src/main.py"})
if hints:
tool_result += hints # append to the tool result string
"""
def __init__(self, working_dir: Optional[str] = None):
self.working_dir = Path(working_dir or os.getcwd()).resolve()
self._loaded_dirs: Set[Path] = set()
# Pre-mark the working dir as loaded (startup context handles it)
self._loaded_dirs.add(self.working_dir)
def check_tool_call(
self,
tool_name: str,
tool_args: Dict[str, Any],
) -> Optional[str]:
"""Check tool call arguments for new directories and load any hint files.
Returns formatted hint text to append to the tool result, or None.
"""
dirs = self._extract_directories(tool_name, tool_args)
if not dirs:
return None
all_hints = []
for d in dirs:
hints = self._load_hints_for_directory(d)
if hints:
all_hints.append(hints)
if not all_hints:
return None
return "\n\n" + "\n\n".join(all_hints)
def _extract_directories(
self, tool_name: str, args: Dict[str, Any]
) -> list:
"""Extract directory paths from tool call arguments."""
candidates: Set[Path] = set()
# Direct path arguments
for key in _PATH_ARG_KEYS:
val = args.get(key)
if isinstance(val, str) and val.strip():
self._add_path_candidate(val, candidates)
# Shell commands — extract path-like tokens
if tool_name in _COMMAND_TOOLS:
cmd = args.get("command", "")
if isinstance(cmd, str):
self._extract_paths_from_command(cmd, candidates)
return list(candidates)
def _add_path_candidate(self, raw_path: str, candidates: Set[Path]):
"""Resolve a raw path and add its directory + ancestors to candidates.
Walks up from the resolved directory toward the filesystem root,
stopping at the first directory already in ``_loaded_dirs`` (or after
``_MAX_ANCESTOR_WALK`` levels). This ensures that reading
``project/src/main.py`` discovers ``project/AGENTS.md`` even when
``project/src/`` has no hint files of its own.
"""
try:
p = Path(raw_path).expanduser()
if not p.is_absolute():
p = self.working_dir / p
p = p.resolve()
# Use parent if it's a file path (has extension or doesn't exist as dir)
if p.suffix or (p.exists() and p.is_file()):
p = p.parent
# Walk up ancestors — stop at already-loaded or root
for _ in range(_MAX_ANCESTOR_WALK):
if p in self._loaded_dirs:
break
if self._is_valid_subdir(p):
candidates.add(p)
parent = p.parent
if parent == p:
break # filesystem root
p = parent
except (OSError, ValueError):
pass
def _extract_paths_from_command(self, cmd: str, candidates: Set[Path]):
"""Extract path-like tokens from a shell command string."""
try:
tokens = shlex.split(cmd)
except ValueError:
tokens = cmd.split()
for token in tokens:
# Skip flags
if token.startswith("-"):
continue
# Must look like a path (contains / or .)
if "/" not in token and "." not in token:
continue
# Skip URLs
if token.startswith(("http://", "https://", "git@")):
continue
self._add_path_candidate(token, candidates)
def _is_valid_subdir(self, path: Path) -> bool:
"""Check if path is a valid directory to scan for hints."""
if not path.is_dir():
return False
if path in self._loaded_dirs:
return False
return True
def _load_hints_for_directory(self, directory: Path) -> Optional[str]:
"""Load hint files from a directory. Returns formatted text or None."""
self._loaded_dirs.add(directory)
found_hints = []
for filename in _HINT_FILENAMES:
hint_path = directory / filename
if not hint_path.is_file():
continue
try:
content = hint_path.read_text(encoding="utf-8").strip()
if not content:
continue
# Same security scan as startup context loading
content = _scan_context_content(content, filename)
if len(content) > _MAX_HINT_CHARS:
content = (
content[:_MAX_HINT_CHARS]
+ f"\n\n[...truncated {filename}: {len(content):,} chars total]"
)
# Best-effort relative path for display
rel_path = str(hint_path)
try:
rel_path = str(hint_path.relative_to(self.working_dir))
except ValueError:
try:
rel_path = str(hint_path.relative_to(Path.home()))
rel_path = "~/" + rel_path
except ValueError:
pass # keep absolute
found_hints.append((rel_path, content))
# First match wins per directory (like startup loading)
break
except Exception as exc:
logger.debug("Could not read %s: %s", hint_path, exc)
if not found_hints:
return None
sections = []
for rel_path, content in found_hints:
sections.append(
f"[Subdirectory context discovered: {rel_path}]\n{content}"
)
logger.debug(
"Loaded subdirectory hints from %s: %s",
directory,
[h[0] for h in found_hints],
)
return "\n\n".join(sections)
+32 -3
View File
@@ -18,7 +18,8 @@ model:
# "anthropic" - Direct Anthropic API (requires: ANTHROPIC_API_KEY)
# "openai-codex" - OpenAI Codex (requires: hermes login --provider openai-codex)
# "copilot" - GitHub Copilot / GitHub Models (requires: GITHUB_TOKEN)
# "zai" - z.ai / ZhipuAI GLM (requires: GLM_API_KEY)
# "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)
# "kimi-coding" - Kimi / Moonshot AI (requires: KIMI_API_KEY)
# "minimax" - MiniMax global (requires: MINIMAX_API_KEY)
# "minimax-cn" - MiniMax China (requires: MINIMAX_CN_API_KEY)
@@ -34,6 +35,12 @@ 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"
@@ -309,7 +316,8 @@ compression:
# "auto" - Best available: OpenRouter → Nous Portal → main endpoint (default)
# "openrouter" - Force OpenRouter (requires OPENROUTER_API_KEY)
# "nous" - Force Nous Portal (requires: hermes login)
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# "gemini" - Force Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_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).
# Works with OpenAI API, local models, or any OpenAI-compatible
@@ -531,7 +539,7 @@ platform_toolsets:
# terminal - terminal, process
# file - read_file, write_file, patch, search
# browser - browser_navigate, browser_snapshot, browser_click, browser_type,
# browser_scroll, browser_back, browser_press, browser_close,
# browser_scroll, browser_back, browser_press,
# browser_get_images, browser_vision (requires BROWSERBASE_API_KEY)
# vision - vision_analyze (requires OPENROUTER_API_KEY)
# image_gen - image_generate (requires FAL_KEY)
@@ -789,6 +797,27 @@ display:
#
skin: default
# =============================================================================
# Model Aliases — short names for /model command
# =============================================================================
# Map short aliases to exact (model, provider, base_url) tuples.
# Used by /model tab completion and resolve_alias().
# Aliases are checked BEFORE the models.dev catalog, so they can route
# to endpoints not in the catalog (e.g. Ollama Cloud, local servers).
#
# model_aliases:
# opus:
# model: claude-opus-4-6
# provider: anthropic
# qwen:
# model: "qwen3.5:397b"
# provider: custom
# base_url: "https://ollama.com/v1"
# glm:
# model: glm-4.7
# provider: custom
# base_url: "https://ollama.com/v1"
# =============================================================================
# Privacy
# =============================================================================
+372 -37
View File
@@ -120,6 +120,63 @@ def _parse_reasoning_config(effort: str) -> dict | None:
return result
def _get_chrome_debug_candidates(system: str) -> list[str]:
"""Return likely browser executables for local CDP auto-launch."""
candidates: list[str] = []
seen: set[str] = set()
def _add_candidate(path: str | None) -> None:
if not path:
return
normalized = os.path.normcase(os.path.normpath(path))
if normalized in seen:
return
if os.path.isfile(path):
candidates.append(path)
seen.add(normalized)
def _add_from_path(*names: str) -> None:
for name in names:
_add_candidate(shutil.which(name))
if system == "Darwin":
for app in (
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome",
"/Applications/Chromium.app/Contents/MacOS/Chromium",
"/Applications/Brave Browser.app/Contents/MacOS/Brave Browser",
"/Applications/Microsoft Edge.app/Contents/MacOS/Microsoft Edge",
):
_add_candidate(app)
elif system == "Windows":
_add_from_path(
"chrome.exe", "msedge.exe", "brave.exe", "chromium.exe",
"chrome", "msedge", "brave", "chromium",
)
for base in (
os.environ.get("ProgramFiles"),
os.environ.get("ProgramFiles(x86)"),
os.environ.get("LOCALAPPDATA"),
):
if not base:
continue
for parts in (
("Google", "Chrome", "Application", "chrome.exe"),
("Chromium", "Application", "chrome.exe"),
("Chromium", "Application", "chromium.exe"),
("BraveSoftware", "Brave-Browser", "Application", "brave.exe"),
("Microsoft", "Edge", "Application", "msedge.exe"),
):
_add_candidate(os.path.join(base, *parts))
else:
_add_from_path(
"google-chrome", "google-chrome-stable", "chromium-browser",
"chromium", "brave-browser", "microsoft-edge",
)
return candidates
def load_cli_config() -> Dict[str, Any]:
"""
Load CLI configuration from config files.
@@ -453,6 +510,21 @@ def load_cli_config() -> Dict[str, Any]:
# Load configuration at module startup
CLI_CONFIG = load_cli_config()
# Initialize centralized logging early — agent.log + errors.log in ~/.hermes/logs/.
# This ensures CLI sessions produce a log trail even before AIAgent is instantiated.
try:
from hermes_logging import setup_logging
setup_logging(mode="cli")
except Exception:
pass # Logging setup is best-effort — don't crash the CLI
# Validate config structure early — print warnings before user hits cryptic errors
try:
from hermes_cli.config import print_config_warnings
print_config_warnings()
except Exception:
pass
# Initialize the skin engine from config
try:
from hermes_cli.skin_engine import init_skin_from_config
@@ -1257,8 +1329,11 @@ class HermesCLI:
# Parse and validate toolsets
self.enabled_toolsets = toolsets
if toolsets and "all" not in toolsets and "*" not in toolsets:
# Validate each toolset
invalid = [t for t in toolsets if not validate_toolset(t)]
# Validate each toolset — MCP server names are added by
# _get_platform_tools() but aren't registered in TOOLSETS yet
# (that happens later in _sync_mcp_toolsets), so exclude them.
mcp_names = set((CLI_CONFIG.get("mcp_servers") or {}).keys())
invalid = [t for t in toolsets if not validate_toolset(t) and t not in mcp_names]
if invalid:
self.console.print(f"[bold red]Warning: Unknown toolsets: {', '.join(invalid)}[/]")
@@ -1845,6 +1920,12 @@ class HermesCLI:
_cprint(f"{_DIM}{'' * (w - 2)}{_RST}")
self._reasoning_box_opened = False
# Flush any content that was deferred while reasoning was rendering.
deferred = getattr(self, "_deferred_content", "")
if deferred:
self._deferred_content = ""
self._emit_stream_text(deferred)
def _stream_delta(self, text) -> None:
"""Line-buffered streaming callback for real-time token rendering.
@@ -1947,6 +2028,13 @@ class HermesCLI:
if not text:
return
# When show_reasoning is on and reasoning is still rendering,
# defer content until the reasoning box closes. This ensures the
# reasoning block always appears BEFORE the response in the terminal.
if self.show_reasoning and getattr(self, "_reasoning_box_opened", False):
self._deferred_content = getattr(self, "_deferred_content", "") + text
return
# Close the live reasoning box before opening the response box
self._close_reasoning_box()
@@ -2013,6 +2101,7 @@ class HermesCLI:
self._reasoning_box_opened = False
self._reasoning_buf = ""
self._reasoning_preview_buf = ""
self._deferred_content = ""
def _slow_command_status(self, command: str) -> str:
"""Return a user-facing status message for slower slash commands."""
@@ -2355,6 +2444,22 @@ class HermesCLI:
"[dim] Fix: Set model.context_length in config.yaml, or increase your server's context setting[/]"
)
# Warn if the configured model is a Nous Hermes LLM (not agentic)
model_name = getattr(self, "model", "") or ""
if "hermes" in model_name.lower():
self.console.print()
self.console.print(
"[bold yellow]⚠ Nous Research Hermes 3 & 4 models are NOT agentic and are not "
"designed for use with Hermes Agent.[/]"
)
self.console.print(
"[dim] They lack tool-calling capabilities required for agent workflows. "
"Consider using an agentic model (Claude, GPT, Gemini, DeepSeek, etc.).[/]"
)
self.console.print(
"[dim] Switch with: /model sonnet or /model gpt5[/]"
)
self.console.print()
def _preload_resumed_session(self) -> bool:
@@ -3519,6 +3624,181 @@ class HermesCLI:
remaining = len(self.conversation_history)
print(f" {remaining} message(s) remaining in history.")
def _handle_model_switch(self, cmd_original: str):
"""Handle /model command — switch model for this session.
Supports:
/model show current model + usage hints
/model <name> switch for this session only
/model <name> --global switch and persist to config.yaml
/model <name> --provider <provider> switch provider + model
/model --provider <provider> switch to provider, auto-detect model
"""
from hermes_cli.model_switch import switch_model, parse_model_flags, list_authenticated_providers
from hermes_cli.providers import get_label
# Parse args from the original command
parts = cmd_original.split(None, 1) # split off '/model'
raw_args = parts[1].strip() if len(parts) > 1 else ""
# Parse --provider and --global flags
model_input, explicit_provider, persist_global = parse_model_flags(raw_args)
# No args at all: show available providers + models
if not model_input and not explicit_provider:
model_display = self.model or "unknown"
provider_display = get_label(self.provider) if self.provider else "unknown"
_cprint(f" Current: {model_display} on {provider_display}")
_cprint("")
# Show authenticated providers with top models
try:
# Load user providers from config
user_provs = None
try:
from hermes_cli.config import load_config
cfg = load_config()
user_provs = cfg.get("providers")
except Exception:
pass
providers = list_authenticated_providers(
current_provider=self.provider or "",
user_providers=user_provs,
max_models=6,
)
if providers:
for p in providers:
tag = " (current)" if p["is_current"] else ""
_cprint(f" {p['name']} [--provider {p['slug']}]{tag}:")
if p["models"]:
model_strs = ", ".join(p["models"])
extra = f" (+{p['total_models'] - len(p['models'])} more)" if p["total_models"] > len(p["models"]) else ""
_cprint(f" {model_strs}{extra}")
elif p.get("api_url"):
_cprint(f" {p['api_url']} (use /model <name> --provider {p['slug']})")
else:
_cprint(f" (no models listed)")
_cprint("")
else:
_cprint(" No authenticated providers found.")
_cprint("")
except Exception:
pass
# Aliases
from hermes_cli.model_switch import MODEL_ALIASES
alias_list = ", ".join(sorted(MODEL_ALIASES.keys()))
_cprint(f" Aliases: {alias_list}")
_cprint("")
_cprint(" /model <name> switch model")
_cprint(" /model <name> --provider <slug> switch provider")
_cprint(" /model <name> --global persist to config")
return
# Perform the switch
result = switch_model(
raw_input=model_input,
current_provider=self.provider or "",
current_model=self.model or "",
current_base_url=self.base_url or "",
current_api_key=self.api_key or "",
is_global=persist_global,
explicit_provider=explicit_provider,
)
if not result.success:
_cprint(f"{result.error_message}")
return
# Apply to CLI state.
# Update requested_provider so _ensure_runtime_credentials() doesn't
# overwrite the switch on the next turn (it re-resolves from this).
old_model = self.model
self.model = result.new_model
self.provider = result.target_provider
self.requested_provider = result.target_provider
if result.api_key:
self.api_key = result.api_key
self._explicit_api_key = result.api_key
if result.base_url:
self.base_url = result.base_url
self._explicit_base_url = result.base_url
if result.api_mode:
self.api_mode = result.api_mode
# Apply to running agent (in-place swap)
if self.agent is not None:
try:
self.agent.switch_model(
new_model=result.new_model,
new_provider=result.target_provider,
api_key=result.api_key,
base_url=result.base_url,
api_mode=result.api_mode,
)
except Exception as exc:
_cprint(f" ⚠ Agent swap failed ({exc}); change applied to next session.")
# Store a note to prepend to the next user message so the model
# knows a switch occurred (avoids injecting system messages mid-history
# which breaks providers and prompt caching).
self._pending_model_switch_note = (
f"[Note: model was just switched from {old_model} to {result.new_model} "
f"via {result.provider_label or result.target_provider}. "
f"Adjust your self-identification accordingly.]"
)
# Display confirmation with full metadata
provider_label = result.provider_label or result.target_provider
_cprint(f" ✓ Model switched: {result.new_model}")
_cprint(f" Provider: {provider_label}")
# Rich metadata from models.dev
mi = result.model_info
if mi:
if mi.context_window:
_cprint(f" Context: {mi.context_window:,} tokens")
if mi.max_output:
_cprint(f" Max output: {mi.max_output:,} tokens")
if mi.has_cost_data():
_cprint(f" Cost: {mi.format_cost()}")
_cprint(f" Capabilities: {mi.format_capabilities()}")
else:
# Fallback to old context length lookup
try:
from agent.model_metadata import get_model_context_length
ctx = get_model_context_length(
result.new_model,
base_url=result.base_url or self.base_url,
api_key=result.api_key or self.api_key,
provider=result.target_provider,
)
_cprint(f" Context: {ctx:,} tokens")
except Exception:
pass
# Cache notice
cache_enabled = (
("openrouter" in (result.base_url or "").lower() and "claude" in result.new_model.lower())
or result.api_mode == "anthropic_messages"
)
if cache_enabled:
_cprint(" Prompt caching: enabled")
# Warning from validation
if result.warning_message:
_cprint(f"{result.warning_message}")
# Persistence
if persist_global:
save_config_value("model.default", result.new_model)
if result.provider_changed:
save_config_value("model.provider", result.target_provider)
_cprint(" Saved to config.yaml (--global)")
else:
_cprint(" (session only — add --global to persist)")
def _show_model_and_providers(self):
"""Show current model + provider and list all authenticated providers.
@@ -3528,6 +3808,7 @@ class HermesCLI:
from hermes_cli.models import (
curated_models_for_provider, list_available_providers,
normalize_provider, _PROVIDER_LABELS,
get_pricing_for_provider, format_model_pricing_table,
)
from hermes_cli.auth import resolve_provider as _resolve_provider
@@ -3561,7 +3842,13 @@ class HermesCLI:
marker = " ← active" if is_active else ""
print(f" [{p['id']}]{marker}")
curated = curated_models_for_provider(p["id"])
if curated:
# Fetch pricing for providers that support it (openrouter, nous)
pricing_map = get_pricing_for_provider(p["id"]) if p["id"] in ("openrouter", "nous") else {}
if curated and pricing_map:
cur_model = self.model if is_active else ""
for line in format_model_pricing_table(curated, pricing_map, current_model=cur_model):
print(line)
elif curated:
for mid, desc in curated:
current_marker = " ← current" if (is_active and mid == self.model) else ""
print(f" {mid}{current_marker}")
@@ -4134,6 +4421,8 @@ class HermesCLI:
self.new_session()
elif canonical == "resume":
self._handle_resume_command(cmd_original)
elif canonical == "model":
self._handle_model_switch(cmd_original)
elif canonical == "provider":
self._show_model_and_providers()
elif canonical == "prompt":
@@ -4620,27 +4909,9 @@ class HermesCLI:
Returns True if a launch command was executed (doesn't guarantee success).
"""
import shutil
import subprocess as _sp
candidates = []
if system == "Darwin":
# macOS: try common app bundle locations
for app in (
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome",
"/Applications/Chromium.app/Contents/MacOS/Chromium",
"/Applications/Brave Browser.app/Contents/MacOS/Brave Browser",
"/Applications/Microsoft Edge.app/Contents/MacOS/Microsoft Edge",
):
if os.path.isfile(app):
candidates.append(app)
else:
# Linux: try common binary names
for name in ("google-chrome", "google-chrome-stable", "chromium-browser",
"chromium", "brave-browser", "microsoft-edge"):
path = shutil.which(name)
if path:
candidates.append(path)
candidates = _get_chrome_debug_candidates(system)
if not candidates:
return False
@@ -4766,13 +5037,13 @@ class HermesCLI:
pass
print()
print("🌐 Browser disconnected from live Chrome")
print(" Browser tools reverted to default mode (local headless or Browserbase)")
print(" Browser tools reverted to default mode (local headless or cloud provider)")
print()
if hasattr(self, '_pending_input'):
self._pending_input.put(
"[System note: The user has disconnected the browser tools from their live Chrome. "
"Browser tools are back to default mode (headless local browser or Browserbase cloud).]"
"Browser tools are back to default mode (headless local browser or cloud provider).]"
)
else:
print()
@@ -4799,10 +5070,17 @@ class HermesCLI:
print(" Status: ✓ reachable")
except (OSError, Exception):
print(" Status: ⚠ not reachable (Chrome may not be running)")
elif os.environ.get("BROWSERBASE_API_KEY"):
print("🌐 Browser: Browserbase (cloud)")
else:
print("🌐 Browser: local headless Chromium (agent-browser)")
try:
from tools.browser_tool import _get_cloud_provider
provider = _get_cloud_provider()
except Exception:
provider = None
if provider is not None:
print(f"🌐 Browser: {provider.provider_name()} (cloud)")
else:
print("🌐 Browser: local headless Chromium (agent-browser)")
print()
print(" /browser connect — connect to your live Chrome")
print(" /browser disconnect — revert to default")
@@ -5277,14 +5555,17 @@ class HermesCLI:
# Tool progress callback (audio cues for voice mode)
# ====================================================================
def _on_tool_progress(self, function_name: str, preview: str, function_args: dict):
"""Called when a tool starts executing.
def _on_tool_progress(self, event_type: str, function_name: str = None, preview: str = None, function_args: dict = None, **kwargs):
"""Called on tool lifecycle events (tool.started, tool.completed, reasoning.available, etc.).
Updates the TUI spinner widget so the user can see what the agent
is doing during tool execution (fills the gap between thinking
spinner and next response). Also plays audio cue in voice mode.
"""
if not function_name.startswith("_"):
# Only act on tool.started; ignore tool.completed, reasoning.available, etc.
if event_type != "tool.started":
return
if function_name and not function_name.startswith("_"):
from agent.display import get_tool_emoji
emoji = get_tool_emoji(function_name)
label = preview or function_name
@@ -5297,7 +5578,7 @@ class HermesCLI:
if not self._voice_mode:
return
if function_name.startswith("_"):
if not function_name or function_name.startswith("_"):
return
try:
from tools.voice_mode import play_beep
@@ -6184,6 +6465,11 @@ class HermesCLI:
def run_agent():
nonlocal result
agent_message = _voice_prefix + message if _voice_prefix else message
# Prepend pending model switch note so the model knows about the switch
_msn = getattr(self, '_pending_model_switch_note', None)
if _msn:
agent_message = _msn + "\n\n" + agent_message
self._pending_model_switch_note = None
try:
result = self.agent.run_conversation(
user_message=agent_message,
@@ -7243,18 +7529,26 @@ class HermesCLI:
# wrapping of long lines so the input area always fits its content.
def _input_height():
try:
from prompt_toolkit.application import get_app
from prompt_toolkit.utils import get_cwidth
doc = input_area.buffer.document
prompt_width = max(2, len(self._get_tui_prompt_text()))
available_width = shutil.get_terminal_size().columns - prompt_width
prompt_width = max(2, get_cwidth(self._get_tui_prompt_text()))
try:
available_width = get_app().output.get_size().columns - prompt_width
except Exception:
available_width = shutil.get_terminal_size((80, 24)).columns - prompt_width
if available_width < 10:
available_width = 40
visual_lines = 0
for line in doc.lines:
# Each logical line takes at least 1 visual row; long lines wrap
if len(line) == 0:
# Each logical line takes at least 1 visual row; long lines wrap.
# Use prompt_toolkit's cell width so CJK wide characters count as 2.
line_width = get_cwidth(line)
if line_width <= 0:
visual_lines += 1
else:
visual_lines += max(1, -(-len(line) // available_width)) # ceil division
visual_lines += max(1, -(-line_width // available_width)) # ceil division
return min(max(visual_lines, 1), 8)
except Exception:
return 1
@@ -7847,6 +8141,25 @@ class HermesCLI:
# Periodic config watcher — auto-reload MCP on mcp_servers change
if not self._agent_running:
self._check_config_mcp_changes()
# Check for background process completion notifications
# while the agent is idle (user hasn't typed anything yet).
try:
from tools.process_registry import process_registry
if not process_registry.completion_queue.empty():
completion = process_registry.completion_queue.get_nowait()
_exit = completion.get("exit_code", "?")
_cmd = completion.get("command", "unknown")
_sid = completion.get("session_id", "unknown")
_out = completion.get("output", "")
_synth = (
f"[SYSTEM: Background process {_sid} completed "
f"(exit code {_exit}).\n"
f"Command: {_cmd}\n"
f"Output:\n{_out}]"
)
self._pending_input.put(_synth)
except Exception:
pass
continue
if not user_input:
@@ -7960,7 +8273,29 @@ class HermesCLI:
except Exception as e:
_cprint(f"{_DIM}Voice auto-restart failed: {e}{_RST}")
threading.Thread(target=_restart_recording, daemon=True).start()
# Drain process completion notifications — any background
# process that finished with notify_on_complete while the
# agent was running (or before) gets auto-injected as a
# new user message so the agent can react to it.
try:
from tools.process_registry import process_registry
while not process_registry.completion_queue.empty():
completion = process_registry.completion_queue.get_nowait()
_exit = completion.get("exit_code", "?")
_cmd = completion.get("command", "unknown")
_sid = completion.get("session_id", "unknown")
_out = completion.get("output", "")
_synth = (
f"[SYSTEM: Background process {_sid} completed "
f"(exit code {_exit}).\n"
f"Command: {_cmd}\n"
f"Output:\n{_out}]"
)
self._pending_input.put(_synth)
except Exception:
pass # Non-fatal — don't break the main loop
except Exception as e:
print(f"Error: {e}")
+213 -71
View File
@@ -15,7 +15,6 @@ import logging
import os
import subprocess
import sys
import traceback
# fcntl is Unix-only; on Windows use msvcrt for file locking
try:
@@ -26,17 +25,28 @@ except ImportError:
import msvcrt
except ImportError:
msvcrt = None
import time
from pathlib import Path
from hermes_constants import get_hermes_home
from hermes_cli.config import load_config
from typing import Optional
# Add parent directory to path for imports BEFORE repo-level imports.
# Without this, standalone invocations (e.g. after `hermes update` reloads
# the module) fail with ModuleNotFoundError for hermes_time et al.
sys.path.insert(0, str(Path(__file__).parent.parent))
from hermes_constants import get_hermes_home
from hermes_cli.config import load_config
from hermes_time import now as _hermes_now
logger = logging.getLogger(__name__)
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
# Valid delivery platforms — used to validate user-supplied platform names
# in cron delivery targets, preventing env var enumeration via crafted names.
_KNOWN_DELIVERY_PLATFORMS = frozenset({
"telegram", "discord", "slack", "whatsapp", "signal",
"matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
"wecom", "sms", "email", "webhook",
})
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
@@ -74,34 +84,51 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
return None
if deliver == "origin":
if not origin:
return None
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
if origin:
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
# Origin missing (e.g. job created via API/script) — try each
# platform's home channel as a fallback instead of silently dropping.
for platform_name in ("matrix", "telegram", "discord", "slack"):
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if chat_id:
logger.info(
"Job '%s' has deliver=origin but no origin; falling back to %s home channel",
job.get("name", job.get("id", "?")),
platform_name,
)
return {
"platform": platform_name,
"chat_id": chat_id,
"thread_id": None,
}
return None
if ":" in deliver:
platform_name, rest = deliver.split(":", 1)
# Check for thread_id suffix (e.g. "telegram:-1003724596514:17")
if ":" in rest:
chat_id, thread_id = rest.split(":", 1)
platform_key = platform_name.lower()
from tools.send_message_tool import _parse_target_ref
parsed_chat_id, parsed_thread_id, is_explicit = _parse_target_ref(platform_key, rest)
if is_explicit:
chat_id, thread_id = parsed_chat_id, parsed_thread_id
else:
chat_id, thread_id = rest, None
# Resolve human-friendly labels like "Alice (dm)" to real IDs.
# send_message(action="list") shows labels with display suffixes
# that aren't valid platform IDs (e.g. WhatsApp JIDs).
try:
from gateway.channel_directory import resolve_channel_name
target = chat_id
# Strip display suffix like " (dm)" or " (group)"
if target.endswith(")") and " (" in target:
target = target.rsplit(" (", 1)[0].strip()
resolved = resolve_channel_name(platform_name.lower(), target)
resolved = resolve_channel_name(platform_key, chat_id)
if resolved:
chat_id = resolved
parsed_chat_id, parsed_thread_id, resolved_is_explicit = _parse_target_ref(platform_key, resolved)
if resolved_is_explicit:
chat_id, thread_id = parsed_chat_id, parsed_thread_id
else:
chat_id = resolved
except Exception:
pass
@@ -119,6 +146,8 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
"thread_id": origin.get("thread_id"),
}
if platform_name.lower() not in _KNOWN_DELIVERY_PLATFORMS:
return None
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if not chat_id:
return None
@@ -130,12 +159,14 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
}
def _deliver_result(job: dict, content: str) -> None:
def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
"""
Deliver job output to the configured target (origin chat, specific platform, etc.).
Uses the standalone platform send functions from send_message_tool so delivery
works whether or not the gateway is running.
When ``adapters`` and ``loop`` are provided (gateway is running), tries to
use the live adapter first — this supports E2EE rooms (e.g. Matrix) where
the standalone HTTP path cannot encrypt. Falls back to standalone send if
the adapter path fails or is unavailable.
"""
target = _resolve_delivery_target(job)
if not target:
@@ -206,8 +237,38 @@ def _deliver_result(job: dict, content: str) -> None:
else:
delivery_content = content
# Run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id)
# Extract MEDIA: tags so attachments are forwarded as files, not raw text
from gateway.platforms.base import BasePlatformAdapter
media_files, cleaned_delivery_content = BasePlatformAdapter.extract_media(delivery_content)
# Prefer the live adapter when the gateway is running — this supports E2EE
# rooms (e.g. Matrix) where the standalone HTTP path cannot encrypt.
runtime_adapter = (adapters or {}).get(platform)
if runtime_adapter is not None and loop is not None and getattr(loop, "is_running", lambda: False)():
send_metadata = {"thread_id": thread_id} if thread_id else None
try:
future = asyncio.run_coroutine_threadsafe(
runtime_adapter.send(chat_id, delivery_content, metadata=send_metadata),
loop,
)
send_result = future.result(timeout=60)
if send_result and not getattr(send_result, "success", True):
err = getattr(send_result, "error", "unknown")
logger.warning(
"Job '%s': live adapter send to %s:%s failed (%s), falling back to standalone",
job["id"], platform_name, chat_id, err,
)
else:
logger.info("Job '%s': delivered to %s:%s via live adapter", job["id"], platform_name, chat_id)
return
except Exception as e:
logger.warning(
"Job '%s': live adapter delivery to %s:%s failed (%s), falling back to standalone",
job["id"], platform_name, chat_id, e,
)
# Standalone path: run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files)
try:
result = asyncio.run(coro)
except RuntimeError:
@@ -218,7 +279,7 @@ def _deliver_result(job: dict, content: str) -> None:
coro.close()
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id))
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files))
result = future.result(timeout=30)
except Exception as e:
logger.error("Job '%s': delivery to %s:%s failed: %s", job["id"], platform_name, chat_id, e)
@@ -236,8 +297,15 @@ _SCRIPT_TIMEOUT = 120 # seconds
def _run_job_script(script_path: str) -> tuple[bool, str]:
"""Execute a cron job's data-collection script and capture its output.
Scripts must reside within HERMES_HOME/scripts/. Both relative and
absolute paths are resolved and validated against this directory to
prevent arbitrary script execution via path traversal or absolute
path injection.
Args:
script_path: Path to a Python script (resolved via HERMES_HOME/scripts/ or absolute).
script_path: Path to a Python script. Relative paths are resolved
against HERMES_HOME/scripts/. Absolute and ~-prefixed paths
are also validated to ensure they stay within the scripts dir.
Returns:
(success, output) — on failure *output* contains the error message so the
@@ -245,10 +313,25 @@ def _run_job_script(script_path: str) -> tuple[bool, str]:
"""
from hermes_constants import get_hermes_home
path = Path(script_path).expanduser()
if not path.is_absolute():
# Resolve relative paths against HERMES_HOME/scripts/
path = get_hermes_home() / "scripts" / path
scripts_dir = get_hermes_home() / "scripts"
scripts_dir.mkdir(parents=True, exist_ok=True)
scripts_dir_resolved = scripts_dir.resolve()
raw = Path(script_path).expanduser()
if raw.is_absolute():
path = raw.resolve()
else:
path = (scripts_dir / raw).resolve()
# Guard against path traversal, absolute path injection, and symlink
# escape — scripts MUST reside within HERMES_HOME/scripts/.
try:
path.relative_to(scripts_dir_resolved)
except ValueError:
return False, (
f"Blocked: script path resolves outside the scripts directory "
f"({scripts_dir_resolved}): {script_path!r}"
)
if not path.exists():
return False, f"Script not found: {path}"
@@ -274,6 +357,13 @@ def _run_job_script(script_path: str) -> tuple[bool, str]:
parts.append(f"stdout:\n{stdout}")
return False, "\n".join(parts)
# Redact any secrets that may appear in script output before
# they are injected into the LLM prompt context.
try:
from agent.redact import redact_sensitive_text
stdout = redact_sensitive_text(stdout)
except Exception:
pass
return True, stdout
except subprocess.TimeoutExpired:
@@ -313,17 +403,20 @@ def _build_job_prompt(job: dict) -> str:
f"{prompt}"
)
# Always prepend [SILENT] guidance so the cron agent can suppress
# delivery when it has nothing new or noteworthy to report.
silent_hint = (
"[SYSTEM: If you have a meaningful status report or findings, "
"send them — that is the whole point of this job. Only respond "
"with exactly \"[SILENT]\" (nothing else) when there is genuinely "
"nothing new to report. [SILENT] suppresses delivery to the user. "
# Always prepend cron execution guidance so the agent knows how
# delivery works and can suppress delivery when appropriate.
cron_hint = (
"[SYSTEM: You are running as a scheduled cron job. "
"DELIVERY: Your final response will be automatically delivered "
"to the user — do NOT use send_message or try to deliver "
"the output yourself. Just produce your report/output as your "
"final response and the system handles the rest. "
"SILENT: If there is genuinely nothing new to report, respond "
"with exactly \"[SILENT]\" (nothing else) to suppress delivery. "
"Never combine [SILENT] with content — either report your "
"findings normally, or say [SILENT] and nothing more.]\n\n"
)
prompt = silent_hint + prompt
prompt = cron_hint + prompt
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
@@ -396,14 +489,14 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
# Inject origin context so the agent's send_message tool knows the chat
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
try:
# Inject origin context so the agent's send_message tool knows the chat.
# Must be INSIDE the try block so the finally cleanup always runs.
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
# Re-read .env and config.yaml fresh every run so provider/key
# changes take effect without a gateway restart.
from dotenv import load_dotenv
@@ -523,30 +616,79 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
session_db=_session_db,
)
# Run the agent with a timeout so a hung API call or tool doesn't
# block the cron ticker thread indefinitely. Default 10 minutes;
# override via env var. Uses a separate thread because
# run_conversation is synchronous.
# Run the agent with an *inactivity*-based timeout: the job can run
# for hours if it's actively calling tools / receiving stream tokens,
# but a hung API call or stuck tool with no activity for the configured
# duration is caught and killed. Default 600s (10 min inactivity);
# override via HERMES_CRON_TIMEOUT env var. 0 = unlimited.
#
# Uses the agent's built-in activity tracker (updated by
# _touch_activity() on every tool call, API call, and stream delta).
_cron_timeout = float(os.getenv("HERMES_CRON_TIMEOUT", 600))
_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)
_inactivity_timeout = False
try:
result = _cron_future.result(timeout=_cron_timeout)
except concurrent.futures.TimeoutError:
logger.error(
"Job '%s' timed out after %.0fs — interrupting agent",
job_name, _cron_timeout,
)
if hasattr(agent, "interrupt"):
agent.interrupt("Cron job timed out")
if _cron_inactivity_limit is None:
# Unlimited — just wait for the result.
result = _cron_future.result()
else:
result = None
while True:
done, _ = concurrent.futures.wait(
{_cron_future}, timeout=_POLL_INTERVAL,
)
if done:
result = _cron_future.result()
break
# Agent still running — check inactivity.
_idle_secs = 0.0
if hasattr(agent, "get_activity_summary"):
try:
_act = agent.get_activity_summary()
_idle_secs = _act.get("seconds_since_activity", 0.0)
except Exception:
pass
if _idle_secs >= _cron_inactivity_limit:
_inactivity_timeout = True
break
except Exception:
_cron_pool.shutdown(wait=False, cancel_futures=True)
raise TimeoutError(
f"Cron job '{job_name}' timed out after "
f"{int(_cron_timeout // 60)} minutes"
)
raise
finally:
_cron_pool.shutdown(wait=False)
if _inactivity_timeout:
# Build diagnostic summary from the agent's activity tracker.
_activity = {}
if hasattr(agent, "get_activity_summary"):
try:
_activity = agent.get_activity_summary()
except Exception:
pass
_last_desc = _activity.get("last_activity_desc", "unknown")
_secs_ago = _activity.get("seconds_since_activity", 0)
_cur_tool = _activity.get("current_tool")
_iter_n = _activity.get("api_call_count", 0)
_iter_max = _activity.get("max_iterations", 0)
logger.error(
"Job '%s' idle for %.0fs (inactivity limit %.0fs) "
"| last_activity=%s | iteration=%s/%s | tool=%s",
job_name, _secs_ago, _cron_inactivity_limit,
_last_desc, _iter_n, _iter_max,
_cur_tool or "none",
)
if hasattr(agent, "interrupt"):
agent.interrupt("Cron job timed out (inactivity)")
raise TimeoutError(
f"Cron job '{job_name}' idle for "
f"{int(_secs_ago)}s (limit {int(_cron_inactivity_limit)}s) "
f"— last activity: {_last_desc}"
)
final_response = result.get("final_response", "") or ""
# Use a separate variable for log display; keep final_response clean
# for delivery logic (empty response = no delivery).
@@ -572,7 +714,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
except Exception as e:
error_msg = f"{type(e).__name__}: {str(e)}"
logger.error("Job '%s' failed: %s", job_name, error_msg)
logger.exception("Job '%s' failed: %s", job_name, error_msg)
output = f"""# Cron Job: {job_name} (FAILED)
@@ -588,8 +730,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
```
{error_msg}
{traceback.format_exc()}
```
"""
return False, output, "", error_msg
@@ -616,7 +756,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
def tick(verbose: bool = True) -> int:
def tick(verbose: bool = True, adapters=None, loop=None) -> int:
"""
Check and run all due jobs.
@@ -625,6 +765,8 @@ def tick(verbose: bool = True) -> int:
Args:
verbose: Whether to print status messages
adapters: Optional dict mapping Platform → live adapter (from gateway)
loop: Optional asyncio event loop (from gateway) for live adapter sends
Returns:
Number of jobs executed (0 if another tick is already running)
@@ -675,13 +817,13 @@ def tick(verbose: bool = True) -> int:
# output is already saved above). Failed jobs always deliver.
deliver_content = final_response if success else f"⚠️ Cron job '{job.get('name', job['id'])}' failed:\n{error}"
should_deliver = bool(deliver_content)
if should_deliver and success and deliver_content.strip().upper().startswith(SILENT_MARKER):
if should_deliver and success and SILENT_MARKER in deliver_content.strip().upper():
logger.info("Job '%s': agent returned %s — skipping delivery", job["id"], SILENT_MARKER)
should_deliver = False
if should_deliver:
try:
_deliver_result(job, deliver_content)
_deliver_result(job, deliver_content, adapters=adapters, loop=loop)
except Exception as de:
logger.error("Delivery failed for job %s: %s", job["id"], de)
+27 -13
View File
@@ -12,12 +12,27 @@ from datetime import datetime
from typing import Any, Dict, List, Optional
from hermes_cli.config import get_hermes_home
from utils import atomic_json_write
logger = logging.getLogger(__name__)
DIRECTORY_PATH = get_hermes_home() / "channel_directory.json"
def _normalize_channel_query(value: str) -> str:
return value.lstrip("#").strip().lower()
def _channel_target_name(platform_name: str, channel: Dict[str, Any]) -> str:
"""Return the human-facing target label shown to users for a channel entry."""
name = channel["name"]
if platform_name == "discord" and channel.get("guild"):
return f"#{name}"
if platform_name != "discord" and channel.get("type"):
return f"{name} ({channel['type']})"
return name
def _session_entry_id(origin: Dict[str, Any]) -> Optional[str]:
chat_id = origin.get("chat_id")
if not chat_id:
@@ -72,9 +87,7 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
}
try:
DIRECTORY_PATH.parent.mkdir(parents=True, exist_ok=True)
with open(DIRECTORY_PATH, "w", encoding="utf-8") as f:
json.dump(directory, f, indent=2, ensure_ascii=False)
atomic_json_write(DIRECTORY_PATH, directory)
except Exception as e:
logger.warning("Channel directory: failed to write: %s", e)
@@ -188,23 +201,25 @@ def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
if not channels:
return None
query = name.lstrip("#").lower()
query = _normalize_channel_query(name)
# 1. Exact name match
# 1. Exact name match, including the display labels shown by send_message(action="list")
for ch in channels:
if ch["name"].lower() == query:
if _normalize_channel_query(ch["name"]) == query:
return ch["id"]
if _normalize_channel_query(_channel_target_name(platform_name, ch)) == query:
return ch["id"]
# 2. Guild-qualified match for Discord ("GuildName/channel")
if "/" in query:
guild_part, ch_part = query.rsplit("/", 1)
for ch in channels:
guild = ch.get("guild", "").lower()
if guild == guild_part and ch["name"].lower() == ch_part:
guild = ch.get("guild", "").strip().lower()
if guild == guild_part and _normalize_channel_query(ch["name"]) == ch_part:
return ch["id"]
# 3. Partial prefix match (only if unambiguous)
matches = [ch for ch in channels if ch["name"].lower().startswith(query)]
matches = [ch for ch in channels if _normalize_channel_query(ch["name"]).startswith(query)]
if len(matches) == 1:
return matches[0]["id"]
@@ -239,17 +254,16 @@ def format_directory_for_display() -> str:
for guild_name, guild_channels in sorted(guilds.items()):
lines.append(f"Discord ({guild_name}):")
for ch in sorted(guild_channels, key=lambda c: c["name"]):
lines.append(f" discord:#{ch['name']}")
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
if dms:
lines.append("Discord (DMs):")
for ch in dms:
lines.append(f" discord:{ch['name']}")
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append("")
else:
lines.append(f"{plat_name.title()}:")
for ch in channels:
type_label = f" ({ch['type']})" if ch.get("type") else ""
lines.append(f" {plat_name}:{ch['name']}{type_label}")
lines.append(f" {plat_name}:{_channel_target_name(plat_name, ch)}")
lines.append("")
lines.append('Use these as the "target" parameter when sending.')
+10
View File
@@ -246,6 +246,7 @@ class GatewayConfig:
# Session isolation in shared chats
group_sessions_per_user: bool = True # Isolate group/channel sessions per participant when user IDs are available
thread_sessions_per_user: bool = False # When False (default), threads are shared across all participants
# Unauthorized DM policy
unauthorized_dm_behavior: str = "pair" # "pair" or "ignore"
@@ -333,6 +334,7 @@ class GatewayConfig:
"always_log_local": self.always_log_local,
"stt_enabled": self.stt_enabled,
"group_sessions_per_user": self.group_sessions_per_user,
"thread_sessions_per_user": self.thread_sessions_per_user,
"unauthorized_dm_behavior": self.unauthorized_dm_behavior,
"streaming": self.streaming.to_dict(),
}
@@ -376,6 +378,7 @@ class GatewayConfig:
stt_enabled = data.get("stt", {}).get("enabled") if isinstance(data.get("stt"), dict) else None
group_sessions_per_user = data.get("group_sessions_per_user")
thread_sessions_per_user = data.get("thread_sessions_per_user")
unauthorized_dm_behavior = _normalize_unauthorized_dm_behavior(
data.get("unauthorized_dm_behavior"),
"pair",
@@ -392,6 +395,7 @@ class GatewayConfig:
always_log_local=data.get("always_log_local", True),
stt_enabled=_coerce_bool(stt_enabled, True),
group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
thread_sessions_per_user=_coerce_bool(thread_sessions_per_user, False),
unauthorized_dm_behavior=unauthorized_dm_behavior,
streaming=StreamingConfig.from_dict(data.get("streaming", {})),
)
@@ -467,6 +471,9 @@ def load_gateway_config() -> GatewayConfig:
if "group_sessions_per_user" in yaml_cfg:
gw_data["group_sessions_per_user"] = yaml_cfg["group_sessions_per_user"]
if "thread_sessions_per_user" in yaml_cfg:
gw_data["thread_sessions_per_user"] = yaml_cfg["thread_sessions_per_user"]
streaming_cfg = yaml_cfg.get("streaming")
if isinstance(streaming_cfg, dict):
gw_data["streaming"] = streaming_cfg
@@ -772,6 +779,9 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.MATRIX].extra["password"] = matrix_password
matrix_e2ee = os.getenv("MATRIX_ENCRYPTION", "").lower() in ("true", "1", "yes")
config.platforms[Platform.MATRIX].extra["encryption"] = matrix_e2ee
matrix_device_id = os.getenv("MATRIX_DEVICE_ID", "")
if matrix_device_id:
config.platforms[Platform.MATRIX].extra["device_id"] = matrix_device_id
matrix_home = os.getenv("MATRIX_HOME_ROOM")
if matrix_home and Platform.MATRIX in config.platforms:
config.platforms[Platform.MATRIX].home_channel = HomeChannel(
+79 -54
View File
@@ -21,6 +21,8 @@ Storage: ~/.hermes/pairing/
import json
import os
import secrets
import tempfile
import threading
import time
from pathlib import Path
from typing import Optional
@@ -45,13 +47,29 @@ PAIRING_DIR = get_hermes_dir("platforms/pairing", "pairing")
def _secure_write(path: Path, data: str) -> None:
"""Write data to file with restrictive permissions (owner read/write only)."""
"""Write data to file with restrictive permissions (owner read/write only).
Uses a temp-file + atomic rename so readers always see either the old
complete file or the new one never a partial write.
"""
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(data, encoding="utf-8")
fd, tmp_path = tempfile.mkstemp(dir=str(path.parent), suffix=".tmp")
try:
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
with os.fdopen(fd, "w", encoding="utf-8") as f:
f.write(data)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, str(path))
try:
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
class PairingStore:
@@ -66,6 +84,9 @@ class PairingStore:
def __init__(self):
PAIRING_DIR.mkdir(parents=True, exist_ok=True)
# Protects all read-modify-write cycles. The gateway runs multiple
# platform adapters concurrently in threads sharing one PairingStore.
self._lock = threading.RLock()
def _pending_path(self, platform: str) -> Path:
return PAIRING_DIR / f"{platform}-pending.json"
@@ -105,7 +126,7 @@ class PairingStore:
return results
def _approve_user(self, platform: str, user_id: str, user_name: str = "") -> None:
"""Add a user to the approved list."""
"""Add a user to the approved list. Must be called under self._lock."""
approved = self._load_json(self._approved_path(platform))
approved[user_id] = {
"user_name": user_name,
@@ -116,11 +137,12 @@ class PairingStore:
def revoke(self, platform: str, user_id: str) -> bool:
"""Remove a user from the approved list. Returns True if found."""
path = self._approved_path(platform)
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
with self._lock:
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
return False
# ----- Pending codes -----
@@ -136,36 +158,37 @@ class PairingStore:
- Max pending codes reached for this platform
- User/platform is in lockout due to failed attempts
"""
self._cleanup_expired(platform)
with self._lock:
self._cleanup_expired(platform)
# Check lockout
if self._is_locked_out(platform):
return None
# Check lockout
if self._is_locked_out(platform):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Record rate limit
self._record_rate_limit(platform, user_id)
# Record rate limit
self._record_rate_limit(platform, user_id)
return code
return code
def approve_code(self, platform: str, code: str) -> Optional[dict]:
"""
@@ -173,24 +196,25 @@ class PairingStore:
Returns {user_id, user_name} on success, None if code is invalid/expired.
"""
self._cleanup_expired(platform)
code = code.upper().strip()
with self._lock:
self._cleanup_expired(platform)
code = code.upper().strip()
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
def list_pending(self, platform: str = None) -> list:
"""List pending pairing requests, optionally filtered by platform."""
@@ -212,12 +236,13 @@ class PairingStore:
def clear_pending(self, platform: str = None) -> int:
"""Clear all pending requests. Returns count removed."""
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
with self._lock:
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
return count
# ----- Rate limiting and lockout -----
+265
View File
@@ -7,6 +7,8 @@ Exposes an HTTP server with endpoints:
- GET /v1/responses/{response_id} Retrieve a stored response
- DELETE /v1/responses/{response_id} Delete a stored response
- GET /v1/models lists hermes-agent as an available model
- POST /v1/runs start a run, returns run_id immediately (202)
- GET /v1/runs/{run_id}/events SSE stream of structured lifecycle events
- GET /health health check
Any OpenAI-compatible frontend (Open WebUI, LobeChat, LibreChat,
@@ -300,6 +302,10 @@ class APIServerAdapter(BasePlatformAdapter):
self._runner: Optional["web.AppRunner"] = None
self._site: Optional["web.TCPSite"] = None
self._response_store = ResponseStore()
# Active run streams: run_id -> asyncio.Queue of SSE event dicts
self._run_streams: Dict[str, "asyncio.Queue[Optional[Dict]]"] = {}
# Creation timestamps for orphaned-run TTL sweep
self._run_streams_created: Dict[str, float] = {}
self._session_db: Optional[Any] = None # Lazy-init SessionDB for session continuity
@staticmethod
@@ -421,6 +427,11 @@ class APIServerAdapter(BasePlatformAdapter):
max_iterations = int(os.getenv("HERMES_MAX_ITERATIONS", "90"))
# Load fallback provider chain so the API server platform has the
# same fallback behaviour as Telegram/Discord/Slack (fixes #4954).
from gateway.run import GatewayRunner
fallback_model = GatewayRunner._load_fallback_model()
agent = AIAgent(
model=model,
**runtime_kwargs,
@@ -434,6 +445,7 @@ class APIServerAdapter(BasePlatformAdapter):
stream_delta_callback=stream_delta_callback,
tool_progress_callback=tool_progress_callback,
session_db=self._ensure_session_db(),
fallback_model=fallback_model,
)
return agent
@@ -962,6 +974,18 @@ class APIServerAdapter(BasePlatformAdapter):
resume_job as _cron_resume,
trigger_job as _cron_trigger,
)
# Wrap as staticmethod to prevent descriptor binding — these are plain
# module functions, not instance methods. Without this, self._cron_*()
# injects ``self`` as the first positional argument and every call
# raises TypeError.
_cron_list = staticmethod(_cron_list)
_cron_get = staticmethod(_cron_get)
_cron_create = staticmethod(_cron_create)
_cron_update = staticmethod(_cron_update)
_cron_remove = staticmethod(_cron_remove)
_cron_pause = staticmethod(_cron_pause)
_cron_resume = staticmethod(_cron_resume)
_cron_trigger = staticmethod(_cron_trigger)
_CRON_AVAILABLE = True
except ImportError:
pass
@@ -1281,6 +1305,236 @@ class APIServerAdapter(BasePlatformAdapter):
return await loop.run_in_executor(None, _run)
# ------------------------------------------------------------------
# /v1/runs — structured event streaming
# ------------------------------------------------------------------
_MAX_CONCURRENT_RUNS = 10 # Prevent unbounded resource allocation
_RUN_STREAM_TTL = 300 # seconds before orphaned runs are swept
def _make_run_event_callback(self, run_id: str, loop: "asyncio.AbstractEventLoop"):
"""Return a tool_progress_callback that pushes structured events to the run's SSE queue."""
def _push(event: Dict[str, Any]) -> None:
q = self._run_streams.get(run_id)
if q is None:
return
try:
loop.call_soon_threadsafe(q.put_nowait, event)
except Exception:
pass
def _callback(event_type: str, tool_name: str = None, preview: str = None, args=None, **kwargs):
ts = time.time()
if event_type == "tool.started":
_push({
"event": "tool.started",
"run_id": run_id,
"timestamp": ts,
"tool": tool_name,
"preview": preview,
})
elif event_type == "tool.completed":
_push({
"event": "tool.completed",
"run_id": run_id,
"timestamp": ts,
"tool": tool_name,
"duration": round(kwargs.get("duration", 0), 3),
"error": kwargs.get("is_error", False),
})
elif event_type == "reasoning.available":
_push({
"event": "reasoning.available",
"run_id": run_id,
"timestamp": ts,
"text": preview or "",
})
# _thinking and subagent_progress are intentionally not forwarded
return _callback
async def _handle_runs(self, request: "web.Request") -> "web.Response":
"""POST /v1/runs — start an agent run, return run_id immediately."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
# Enforce concurrency limit
if len(self._run_streams) >= self._MAX_CONCURRENT_RUNS:
return web.json_response(
_openai_error(f"Too many concurrent runs (max {self._MAX_CONCURRENT_RUNS})", code="rate_limit_exceeded"),
status=429,
)
try:
body = await request.json()
except Exception:
return web.json_response(_openai_error("Invalid JSON"), status=400)
raw_input = body.get("input")
if not raw_input:
return web.json_response(_openai_error("Missing 'input' field"), status=400)
user_message = raw_input if isinstance(raw_input, str) else (raw_input[-1].get("content", "") if isinstance(raw_input, list) else "")
if not user_message:
return web.json_response(_openai_error("No user message found in input"), status=400)
run_id = f"run_{uuid.uuid4().hex}"
loop = asyncio.get_running_loop()
q: "asyncio.Queue[Optional[Dict]]" = asyncio.Queue()
self._run_streams[run_id] = q
self._run_streams_created[run_id] = time.time()
event_cb = self._make_run_event_callback(run_id, loop)
# Also wire stream_delta_callback so message.delta events flow through
def _text_cb(delta: Optional[str]) -> None:
if delta is None:
return
try:
loop.call_soon_threadsafe(q.put_nowait, {
"event": "message.delta",
"run_id": run_id,
"timestamp": time.time(),
"delta": delta,
})
except Exception:
pass
instructions = body.get("instructions")
previous_response_id = body.get("previous_response_id")
conversation_history: List[Dict[str, str]] = []
if previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored:
conversation_history = list(stored.get("conversation_history", []))
if instructions is None:
instructions = stored.get("instructions")
session_id = body.get("session_id") or run_id
ephemeral_system_prompt = instructions
async def _run_and_close():
try:
agent = self._create_agent(
ephemeral_system_prompt=ephemeral_system_prompt,
session_id=session_id,
stream_delta_callback=_text_cb,
tool_progress_callback=event_cb,
)
def _run_sync():
r = agent.run_conversation(
user_message=user_message,
conversation_history=conversation_history,
)
u = {
"input_tokens": getattr(agent, "session_prompt_tokens", 0) or 0,
"output_tokens": getattr(agent, "session_completion_tokens", 0) or 0,
"total_tokens": getattr(agent, "session_total_tokens", 0) or 0,
}
return r, u
result, usage = await asyncio.get_running_loop().run_in_executor(None, _run_sync)
final_response = result.get("final_response", "") if isinstance(result, dict) else ""
q.put_nowait({
"event": "run.completed",
"run_id": run_id,
"timestamp": time.time(),
"output": final_response,
"usage": usage,
})
except Exception as exc:
logger.exception("[api_server] run %s failed", run_id)
try:
q.put_nowait({
"event": "run.failed",
"run_id": run_id,
"timestamp": time.time(),
"error": str(exc),
})
except Exception:
pass
finally:
# Sentinel: signal SSE stream to close
try:
q.put_nowait(None)
except Exception:
pass
task = asyncio.create_task(_run_and_close())
try:
self._background_tasks.add(task)
except TypeError:
pass
if hasattr(task, "add_done_callback"):
task.add_done_callback(self._background_tasks.discard)
return web.json_response({"run_id": run_id, "status": "started"}, status=202)
async def _handle_run_events(self, request: "web.Request") -> "web.StreamResponse":
"""GET /v1/runs/{run_id}/events — SSE stream of structured agent lifecycle events."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
run_id = request.match_info["run_id"]
# Allow subscribing slightly before the run is registered (race condition window)
for _ in range(20):
if run_id in self._run_streams:
break
await asyncio.sleep(0.05)
else:
return web.json_response(_openai_error(f"Run not found: {run_id}", code="run_not_found"), status=404)
q = self._run_streams[run_id]
response = web.StreamResponse(
status=200,
headers={
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
},
)
await response.prepare(request)
try:
while True:
try:
event = await asyncio.wait_for(q.get(), timeout=30.0)
except asyncio.TimeoutError:
await response.write(b": keepalive\n\n")
continue
if event is None:
# Run finished — send final SSE comment and close
await response.write(b": stream closed\n\n")
break
payload = f"data: {json.dumps(event)}\n\n"
await response.write(payload.encode())
except Exception as exc:
logger.debug("[api_server] SSE stream error for run %s: %s", run_id, exc)
finally:
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
return response
async def _sweep_orphaned_runs(self) -> None:
"""Periodically clean up run streams that were never consumed."""
while True:
await asyncio.sleep(60)
now = time.time()
stale = [
run_id
for run_id, created_at in list(self._run_streams_created.items())
if now - created_at > self._RUN_STREAM_TTL
]
for run_id in stale:
logger.debug("[api_server] sweeping orphaned run %s", run_id)
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
# ------------------------------------------------------------------
# BasePlatformAdapter interface
# ------------------------------------------------------------------
@@ -1311,6 +1565,17 @@ class APIServerAdapter(BasePlatformAdapter):
self._app.router.add_post("/api/jobs/{job_id}/pause", self._handle_pause_job)
self._app.router.add_post("/api/jobs/{job_id}/resume", self._handle_resume_job)
self._app.router.add_post("/api/jobs/{job_id}/run", self._handle_run_job)
# Structured event streaming
self._app.router.add_post("/v1/runs", self._handle_runs)
self._app.router.add_get("/v1/runs/{run_id}/events", self._handle_run_events)
# Start background sweep to clean up orphaned (unconsumed) run streams
sweep_task = asyncio.create_task(self._sweep_orphaned_runs())
try:
self._background_tasks.add(sweep_task)
except TypeError:
pass
if hasattr(sweep_task, "add_done_callback"):
sweep_task.add_done_callback(self._background_tasks.discard)
# Port conflict detection — fail fast if port is already in use
import socket as _socket
+110 -20
View File
@@ -12,6 +12,7 @@ import random
import re
import uuid
from abc import ABC, abstractmethod
from urllib.parse import urlsplit
logger = logging.getLogger(__name__)
from dataclasses import dataclass, field
@@ -36,6 +37,43 @@ GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE = (
)
def _safe_url_for_log(url: str, max_len: int = 80) -> str:
"""Return a URL string safe for logs (no query/fragment/userinfo)."""
if max_len <= 0:
return ""
if url is None:
return ""
raw = str(url)
if not raw:
return ""
try:
parsed = urlsplit(raw)
except Exception:
return raw[:max_len]
if parsed.scheme and parsed.netloc:
# Strip potential embedded credentials (user:pass@host).
netloc = parsed.netloc.rsplit("@", 1)[-1]
base = f"{parsed.scheme}://{netloc}"
path = parsed.path or ""
if path and path != "/":
basename = path.rsplit("/", 1)[-1]
safe = f"{base}/.../{basename}" if basename else f"{base}/..."
else:
safe = base
else:
safe = raw
if len(safe) <= max_len:
return safe
if max_len <= 3:
return "." * max_len
return f"{safe[:max_len - 3]}..."
# ---------------------------------------------------------------------------
# Image cache utilities
#
@@ -112,8 +150,14 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug("Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
_log.debug(
"Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1,
retries,
_safe_url_for_log(url),
wait,
exc,
)
await asyncio.sleep(wait)
continue
raise
@@ -214,8 +258,14 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug("Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
_log.debug(
"Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1,
retries,
_safe_url_for_log(url),
wait,
exc,
)
await asyncio.sleep(wait)
continue
raise
@@ -377,23 +427,26 @@ class SendResult:
message_id: Optional[str] = None
error: Optional[str] = None
raw_response: Any = None
retryable: bool = False # True for transient errors (network, timeout) — base will retry automatically
retryable: bool = False # True for transient connection errors — base will retry automatically
# Error substrings that indicate a transient network failure worth retrying
# Error substrings that indicate a transient *connection* failure worth retrying.
# "timeout" / "timed out" / "readtimeout" / "writetimeout" are intentionally
# excluded: a read/write timeout on a non-idempotent call (e.g. send_message)
# means the request may have reached the server — retrying risks duplicate
# delivery. "connecttimeout" is safe because the connection was never
# established. Platforms that know a timeout is safe to retry should set
# SendResult.retryable = True explicitly.
_RETRYABLE_ERROR_PATTERNS = (
"connecterror",
"connectionerror",
"connectionreset",
"connectionrefused",
"timeout",
"timed out",
"connecttimeout",
"network",
"broken pipe",
"remotedisconnected",
"eoferror",
"readtimeout",
"writetimeout",
)
@@ -516,6 +569,16 @@ class BasePlatformAdapter(ABC):
"""
self._message_handler = handler
def set_session_store(self, session_store: Any) -> None:
"""
Set the session store for checking active sessions.
Used by adapters that need to check if a thread/conversation
has an active session before processing messages (e.g., Slack
thread replies without explicit mentions).
"""
self._session_store = session_store
@abstractmethod
async def connect(self) -> bool:
"""
@@ -927,6 +990,18 @@ class BasePlatformAdapter(ABC):
lowered = error.lower()
return any(pat in lowered for pat in _RETRYABLE_ERROR_PATTERNS)
@staticmethod
def _is_timeout_error(error: Optional[str]) -> bool:
"""Return True if the error string indicates a read/write timeout.
Timeout errors are NOT retryable and should NOT trigger plain-text
fallback the request may have already been delivered.
"""
if not error:
return False
lowered = error.lower()
return "timed out" in lowered or "readtimeout" in lowered or "writetimeout" in lowered
async def _send_with_retry(
self,
chat_id: str,
@@ -958,6 +1033,11 @@ class BasePlatformAdapter(ABC):
error_str = result.error or ""
is_network = result.retryable or self._is_retryable_error(error_str)
# Timeout errors are not safe to retry (message may have been
# delivered) and not formatting errors — return the failure as-is.
if not is_network and self._is_timeout_error(error_str):
return result
if is_network:
# Retry with exponential backoff for transient errors
for attempt in range(1, max_retries + 1):
@@ -1018,20 +1098,25 @@ class BasePlatformAdapter(ABC):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
# Check if there's already an active handler for this session
if session_key in self._active_sessions:
# /approve and /deny must bypass the active-session guard.
# The agent thread is blocked on threading.Event.wait() inside
# tools/approval.py — queuing these commands creates a deadlock:
# the agent waits for approval, approval waits for agent to finish.
# Dispatch directly to the message handler without touching session
# lifecycle (no competing background task, no session guard removal).
# Certain commands must bypass the active-session guard and be
# dispatched directly to the gateway runner. Without this, they
# are queued as pending messages and either:
# - leak into the conversation as user text (/stop, /new), or
# - deadlock (/approve, /deny — agent is blocked on Event.wait)
#
# Dispatch inline: call the message handler directly and send the
# response. Do NOT use _process_message_background — it manages
# session lifecycle and its cleanup races with the running task
# (see PR #4926).
cmd = event.get_command()
if cmd in ("approve", "deny"):
if cmd in ("approve", "deny", "status", "stop", "new", "reset"):
logger.debug(
"[%s] Approval command '/%s' bypassing active-session guard for %s",
"[%s] Command '/%s' bypassing active-session guard for %s",
self.name, cmd, session_key,
)
try:
@@ -1045,7 +1130,7 @@ class BasePlatformAdapter(ABC):
metadata=_thread_meta,
)
except Exception as e:
logger.error("[%s] Approval dispatch failed: %s", self.name, e, exc_info=True)
logger.error("[%s] Command '/%s' dispatch failed: %s", self.name, cmd, e, exc_info=True)
return
# Special case: photo bursts/albums frequently arrive as multiple near-
@@ -1223,7 +1308,12 @@ class BasePlatformAdapter(ABC):
if human_delay > 0:
await asyncio.sleep(human_delay)
try:
logger.info("[%s] Sending image: %s (alt=%s)", self.name, image_url[:80], alt_text[:30] if alt_text else "")
logger.info(
"[%s] Sending image: %s (alt=%s)",
self.name,
_safe_url_for_log(image_url),
alt_text[:30] if alt_text else "",
)
# Route animated GIFs through send_animation for proper playback
if self._is_animation_url(image_url):
img_result = await self.send_animation(
+474 -13
View File
@@ -502,19 +502,6 @@ class DiscordAdapter(BasePlatformAdapter):
self._set_fatal_error('discord_token_lock', message, retryable=False)
return False
# Set up intents -- members intent needed for username-to-ID resolution
intents = Intents.default()
intents.message_content = True
intents.dm_messages = True
intents.guild_messages = True
intents.members = True
intents.voice_states = True
# Create bot
self._client = commands.Bot(
command_prefix="!", # Not really used, we handle raw messages
intents=intents,
)
# Parse allowed user entries (may contain usernames or IDs)
allowed_env = os.getenv("DISCORD_ALLOWED_USERS", "")
@@ -524,6 +511,25 @@ class DiscordAdapter(BasePlatformAdapter):
if uid.strip()
}
# Set up intents.
# Message Content is required for normal text replies.
# Server Members is only needed when the allowlist contains usernames
# that must be resolved to numeric IDs. Requesting privileged intents
# that aren't enabled in the Discord Developer Portal can prevent the
# bot from coming online at all, so avoid requesting members intent
# unless it is actually necessary.
intents = Intents.default()
intents.message_content = True
intents.dm_messages = True
intents.guild_messages = True
intents.members = any(not entry.isdigit() for entry in self._allowed_user_ids)
intents.voice_states = True
# Create bot
self._client = commands.Bot(
command_prefix="!", # Not really used, we handle raw messages
intents=intents,
)
adapter_self = self # capture for closure
# Register event handlers
@@ -648,9 +654,23 @@ class DiscordAdapter(BasePlatformAdapter):
except asyncio.TimeoutError:
logger.error("[%s] Timeout waiting for connection to Discord", self.name, exc_info=True)
try:
from gateway.status import release_scoped_lock
if getattr(self, '_token_lock_identity', None):
release_scoped_lock('discord-bot-token', self._token_lock_identity)
self._token_lock_identity = None
except Exception:
pass
return False
except Exception as e: # pragma: no cover - defensive logging
logger.error("[%s] Failed to connect to Discord: %s", self.name, e, exc_info=True)
try:
from gateway.status import release_scoped_lock
if getattr(self, '_token_lock_identity', None):
release_scoped_lock('discord-bot-token', self._token_lock_identity)
self._token_lock_identity = None
except Exception:
pass
return False
async def disconnect(self) -> None:
@@ -1660,6 +1680,62 @@ class DiscordAdapter(BasePlatformAdapter):
await interaction.response.defer(ephemeral=True)
await self._handle_thread_create_slash(interaction, name, message, auto_archive_duration)
@tree.command(name="queue", description="Queue a prompt for the next turn (doesn't interrupt)")
@discord.app_commands.describe(prompt="The prompt to queue")
async def slash_queue(interaction: discord.Interaction, prompt: str):
await self._run_simple_slash(interaction, f"/queue {prompt}", "Queued for the next turn.")
@tree.command(name="background", description="Run a prompt in the background")
@discord.app_commands.describe(prompt="The prompt to run in the background")
async def slash_background(interaction: discord.Interaction, prompt: str):
await self._run_simple_slash(interaction, f"/background {prompt}", "Background task started~")
@tree.command(name="btw", description="Ephemeral side question using session context")
@discord.app_commands.describe(question="Your side question (no tools, not persisted)")
async def slash_btw(interaction: discord.Interaction, question: str):
await self._run_simple_slash(interaction, f"/btw {question}")
# Register installed skills as native slash commands (parity with
# Telegram, which uses telegram_menu_commands() in commands.py).
# Discord allows up to 100 application commands globally.
_DISCORD_CMD_LIMIT = 100
try:
from hermes_cli.commands import discord_skill_commands
existing_names = {cmd.name for cmd in tree.get_commands()}
remaining_slots = max(0, _DISCORD_CMD_LIMIT - len(existing_names))
skill_entries, skipped = discord_skill_commands(
max_slots=remaining_slots,
reserved_names=existing_names,
)
for discord_name, description, cmd_key in skill_entries:
# Closure factory to capture cmd_key per iteration
def _make_skill_handler(_key: str):
async def _skill_slash(interaction: discord.Interaction, args: str = ""):
await self._run_simple_slash(interaction, f"{_key} {args}".strip())
return _skill_slash
handler = _make_skill_handler(cmd_key)
handler.__name__ = f"skill_{discord_name.replace('-', '_')}"
cmd = discord.app_commands.Command(
name=discord_name,
description=description,
callback=handler,
)
discord.app_commands.describe(args="Optional arguments for the skill")(cmd)
tree.add_command(cmd)
if skipped:
logger.warning(
"[%s] Discord slash command limit reached (%d): %d skill(s) not registered",
self.name, _DISCORD_CMD_LIMIT, skipped,
)
except Exception as exc:
logger.warning("[%s] Failed to register skill slash commands: %s", self.name, exc)
def _build_slash_event(self, interaction: discord.Interaction, text: str) -> MessageEvent:
"""Build a MessageEvent from a Discord slash command interaction."""
is_dm = isinstance(interaction.channel, discord.DMChannel)
@@ -1932,6 +2008,97 @@ class DiscordAdapter(BasePlatformAdapter):
except Exception as e:
return SendResult(success=False, error=str(e))
async def send_update_prompt(
self, chat_id: str, prompt: str, default: str = "",
session_key: str = "",
) -> SendResult:
"""Send an interactive button-based update prompt (Yes / No).
Used by the gateway ``/update`` watcher when ``hermes update --gateway``
needs user input (stash restore, config migration).
"""
if not self._client or not DISCORD_AVAILABLE:
return SendResult(success=False, error="Not connected")
try:
channel = self._client.get_channel(int(chat_id))
if not channel:
channel = await self._client.fetch_channel(int(chat_id))
default_hint = f" (default: {default})" if default else ""
embed = discord.Embed(
title="⚕ Update Needs Your Input",
description=f"{prompt}{default_hint}",
color=discord.Color.gold(),
)
view = UpdatePromptView(
session_key=session_key,
allowed_user_ids=self._allowed_user_ids,
)
msg = await channel.send(embed=embed, view=view)
return SendResult(success=True, message_id=str(msg.id))
except Exception as e:
return SendResult(success=False, error=str(e))
async def send_model_picker(
self,
chat_id: str,
providers: list,
current_model: str,
current_provider: str,
session_key: str,
on_model_selected,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an interactive select-menu model picker.
Two-step drill-down: provider dropdown model dropdown.
Uses Discord embeds + Select menus via ``ModelPickerView``.
"""
if not self._client or not DISCORD_AVAILABLE:
return SendResult(success=False, error="Not connected")
try:
# Resolve target channel (use thread_id if present)
target_id = chat_id
if metadata and metadata.get("thread_id"):
target_id = metadata["thread_id"]
channel = self._client.get_channel(int(target_id))
if not channel:
channel = await self._client.fetch_channel(int(target_id))
try:
from hermes_cli.providers import get_label
provider_label = get_label(current_provider)
except Exception:
provider_label = current_provider
embed = discord.Embed(
title="⚙ Model Configuration",
description=(
f"Current model: `{current_model or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
),
color=discord.Color.blue(),
)
view = ModelPickerView(
providers=providers,
current_model=current_model,
current_provider=current_provider,
session_key=session_key,
on_model_selected=on_model_selected,
allowed_user_ids=self._allowed_user_ids,
)
msg = await channel.send(embed=embed, view=view)
return SendResult(success=True, message_id=str(msg.id))
except Exception as e:
logger.warning("[%s] send_model_picker failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
def _get_parent_channel_id(self, channel: Any) -> Optional[str]:
"""Return the parent channel ID for a Discord thread-like channel, if present."""
parent = getattr(channel, "parent", None)
@@ -2344,3 +2511,297 @@ if DISCORD_AVAILABLE:
self.resolved = True
for child in self.children:
child.disabled = True
class UpdatePromptView(discord.ui.View):
"""Interactive Yes/No buttons for ``hermes update`` prompts.
Clicking a button writes the answer to ``.update_response`` so the
detached update process can pick it up. Only authorized users can
click. Times out after 5 minutes (the update process also has a
5-minute timeout on its side).
"""
def __init__(self, session_key: str, allowed_user_ids: set):
super().__init__(timeout=300)
self.session_key = session_key
self.allowed_user_ids = allowed_user_ids
self.resolved = False
def _check_auth(self, interaction: discord.Interaction) -> bool:
if not self.allowed_user_ids:
return True
return str(interaction.user.id) in self.allowed_user_ids
async def _respond(
self, interaction: discord.Interaction, answer: str,
color: discord.Color, label: str,
):
if self.resolved:
await interaction.response.send_message(
"Already answered~", ephemeral=True
)
return
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
self.resolved = True
# Update embed
embed = interaction.message.embeds[0] if interaction.message.embeds else None
if embed:
embed.color = color
embed.set_footer(text=f"{label} by {interaction.user.display_name}")
for child in self.children:
child.disabled = True
await interaction.response.edit_message(embed=embed, view=self)
# Write response file
try:
from hermes_constants import get_hermes_home
home = get_hermes_home()
response_path = home / ".update_response"
tmp = response_path.with_suffix(".tmp")
tmp.write_text(answer)
tmp.replace(response_path)
logger.info(
"Discord update prompt answered '%s' by %s",
answer, interaction.user.display_name,
)
except Exception as exc:
logger.error("Failed to write update response: %s", exc)
@discord.ui.button(label="Yes", style=discord.ButtonStyle.green, emoji="")
async def yes_btn(
self, interaction: discord.Interaction, button: discord.ui.Button
):
await self._respond(interaction, "y", discord.Color.green(), "Yes")
@discord.ui.button(label="No", style=discord.ButtonStyle.red, emoji="")
async def no_btn(
self, interaction: discord.Interaction, button: discord.ui.Button
):
await self._respond(interaction, "n", discord.Color.red(), "No")
async def on_timeout(self):
self.resolved = True
for child in self.children:
child.disabled = True
class ModelPickerView(discord.ui.View):
"""Interactive select-menu view for model switching.
Two-step drill-down: provider dropdown model dropdown.
Edits the original message in-place as the user navigates.
Times out after 2 minutes.
"""
def __init__(
self,
providers: list,
current_model: str,
current_provider: str,
session_key: str,
on_model_selected,
allowed_user_ids: set,
):
super().__init__(timeout=120)
self.providers = providers
self.current_model = current_model
self.current_provider = current_provider
self.session_key = session_key
self.on_model_selected = on_model_selected
self.allowed_user_ids = allowed_user_ids
self.resolved = False
self._selected_provider: str = ""
self._build_provider_select()
def _check_auth(self, interaction: discord.Interaction) -> bool:
if not self.allowed_user_ids:
return True
return str(interaction.user.id) in self.allowed_user_ids
def _build_provider_select(self):
"""Build the provider dropdown menu."""
self.clear_items()
options = []
for p in self.providers:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count} models)"
desc = "current" if p.get("is_current") else None
options.append(
discord.SelectOption(
label=label[:100],
value=p["slug"],
description=desc,
)
)
if not options:
return
select = discord.ui.Select(
placeholder="Choose a provider...",
options=options[:25],
custom_id="model_provider_select",
)
select.callback = self._on_provider_selected
self.add_item(select)
cancel_btn = discord.ui.Button(
label="Cancel", style=discord.ButtonStyle.red, custom_id="model_cancel"
)
cancel_btn.callback = self._on_cancel
self.add_item(cancel_btn)
def _build_model_select(self, provider_slug: str):
"""Build the model dropdown for a specific provider."""
self.clear_items()
provider = next(
(p for p in self.providers if p["slug"] == provider_slug), None
)
if not provider:
return
models = provider.get("models", [])
options = []
for model_id in models[:25]:
short = model_id.split("/")[-1] if "/" in model_id else model_id
options.append(
discord.SelectOption(
label=short[:100],
value=model_id[:100],
)
)
if not options:
return
select = discord.ui.Select(
placeholder=f"Choose a model from {provider.get('name', provider_slug)}...",
options=options,
custom_id="model_model_select",
)
select.callback = self._on_model_selected
self.add_item(select)
back_btn = discord.ui.Button(
label="◀ Back", style=discord.ButtonStyle.grey, custom_id="model_back"
)
back_btn.callback = self._on_back
self.add_item(back_btn)
cancel_btn = discord.ui.Button(
label="Cancel", style=discord.ButtonStyle.red, custom_id="model_cancel2"
)
cancel_btn.callback = self._on_cancel
self.add_item(cancel_btn)
async def _on_provider_selected(self, interaction: discord.Interaction):
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
provider_slug = interaction.data["values"][0]
self._selected_provider = provider_slug
provider = next(
(p for p in self.providers if p["slug"] == provider_slug), None
)
pname = provider.get("name", provider_slug) if provider else provider_slug
self._build_model_select(provider_slug)
total = provider.get("total_models", 0) if provider else 0
shown = min(len(provider.get("models", [])), 25) if provider else 0
extra = f"\n*{total - shown} more available — type `/model <name>` directly*" if total > shown else ""
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Configuration",
description=f"Provider: **{pname}**\nSelect a model:{extra}",
color=discord.Color.blue(),
),
view=self,
)
async def _on_model_selected(self, interaction: discord.Interaction):
if self.resolved:
await interaction.response.send_message(
"Already resolved~", ephemeral=True
)
return
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
self.resolved = True
model_id = interaction.data["values"][0]
try:
result_text = await self.on_model_selected(
str(interaction.channel_id),
model_id,
self._selected_provider,
)
except Exception as exc:
result_text = f"Error switching model: {exc}"
self.clear_items()
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Switched",
description=result_text,
color=discord.Color.green(),
),
view=self,
)
async def _on_back(self, interaction: discord.Interaction):
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
self._build_provider_select()
try:
from hermes_cli.providers import get_label
provider_label = get_label(self.current_provider)
except Exception:
provider_label = self.current_provider
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Configuration",
description=(
f"Current model: `{self.current_model or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
),
color=discord.Color.blue(),
),
view=self,
)
async def _on_cancel(self, interaction: discord.Interaction):
self.resolved = True
self.clear_items()
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Configuration",
description="Model selection cancelled.",
color=discord.Color.greyple(),
),
view=self,
)
async def on_timeout(self):
self.resolved = True
self.clear_items()
+213 -23
View File
@@ -270,6 +270,22 @@ class FeishuAdapterSettings:
webhook_host: str
webhook_port: int
webhook_path: str
ws_reconnect_nonce: int = 30
ws_reconnect_interval: int = 120
ws_ping_interval: Optional[int] = None
ws_ping_timeout: Optional[int] = None
admins: frozenset[str] = frozenset()
default_group_policy: str = ""
group_rules: Dict[str, FeishuGroupRule] = field(default_factory=dict)
@dataclass
class FeishuGroupRule:
"""Per-group policy rule for controlling which users may interact with the bot."""
policy: str # "open" | "allowlist" | "blacklist" | "admin_only" | "disabled"
allowlist: set[str] = field(default_factory=set)
blacklist: set[str] = field(default_factory=set)
@dataclass
@@ -358,6 +374,24 @@ def _strip_markdown_to_plain_text(text: str) -> str:
return plain.strip()
def _coerce_int(value: Any, default: Optional[int] = None, min_value: int = 0) -> Optional[int]:
"""Coerce value to int with optional default and minimum constraint."""
try:
parsed = int(value)
except (TypeError, ValueError):
return default
return parsed if parsed >= min_value else default
def _coerce_required_int(value: Any, default: int, min_value: int = 0) -> int:
parsed = _coerce_int(value, default=default, min_value=min_value)
return default if parsed is None else parsed
def _is_loop_ready(loop: Optional[asyncio.AbstractEventLoop]) -> bool:
return loop is not None and not bool(getattr(loop, "is_closed", lambda: False)())
# ---------------------------------------------------------------------------
# Post payload builders and parsers
# ---------------------------------------------------------------------------
@@ -913,14 +947,66 @@ def _unique_lines(lines: List[str]) -> List[str]:
return unique
def _run_official_feishu_ws_client(ws_client: Any) -> None:
def _run_official_feishu_ws_client(ws_client: Any, adapter: Any) -> None:
"""Run the official Lark WS client in its own thread-local event loop."""
import lark_oapi.ws.client as ws_client_module
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
ws_client_module.loop = loop
ws_client.start()
adapter._ws_thread_loop = loop
original_connect = ws_client_module.websockets.connect
original_configure = getattr(ws_client, "_configure", None)
def _apply_runtime_ws_overrides() -> None:
try:
setattr(ws_client, "_reconnect_nonce", adapter._ws_reconnect_nonce)
setattr(ws_client, "_reconnect_interval", adapter._ws_reconnect_interval)
if adapter._ws_ping_interval is not None:
setattr(ws_client, "_ping_interval", adapter._ws_ping_interval)
except Exception:
logger.debug("[Feishu] Failed to apply websocket runtime overrides", exc_info=True)
async def _connect_with_overrides(*args: Any, **kwargs: Any) -> Any:
if adapter._ws_ping_interval is not None and "ping_interval" not in kwargs:
kwargs["ping_interval"] = adapter._ws_ping_interval
if adapter._ws_ping_timeout is not None and "ping_timeout" not in kwargs:
kwargs["ping_timeout"] = adapter._ws_ping_timeout
return await original_connect(*args, **kwargs)
def _configure_with_overrides(conf: Any) -> Any:
assert original_configure is not None
result = original_configure(conf)
_apply_runtime_ws_overrides()
return result
ws_client_module.websockets.connect = _connect_with_overrides
if original_configure is not None:
setattr(ws_client, "_configure", _configure_with_overrides)
_apply_runtime_ws_overrides()
try:
ws_client.start()
except Exception:
pass
finally:
ws_client_module.websockets.connect = original_connect
if original_configure is not None:
setattr(ws_client, "_configure", original_configure)
pending = [t for t in asyncio.all_tasks(loop) if not t.done()]
for task in pending:
task.cancel()
if pending:
loop.run_until_complete(asyncio.gather(*pending, return_exceptions=True))
try:
loop.stop()
except Exception:
pass
try:
loop.close()
except Exception:
pass
adapter._ws_thread_loop = None
def check_feishu_requirements() -> bool:
@@ -945,10 +1031,11 @@ class FeishuAdapter(BasePlatformAdapter):
self._client: Optional[Any] = None
self._ws_client: Optional[Any] = None
self._ws_future: Optional[asyncio.Future] = None
self._ws_thread_loop: Optional[asyncio.AbstractEventLoop] = None
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._webhook_runner: Optional[Any] = None
self._webhook_site: Optional[Any] = None
self._event_handler = self._build_event_handler()
self._event_handler: Optional[Any] = None
self._seen_message_ids: Dict[str, float] = {} # message_id → seen_at (time.time())
self._seen_message_order: List[str] = []
self._dedup_state_path = get_hermes_home() / "feishu_seen_message_ids.json"
@@ -974,6 +1061,26 @@ class FeishuAdapter(BasePlatformAdapter):
@staticmethod
def _load_settings(extra: Dict[str, Any]) -> FeishuAdapterSettings:
# Parse per-group rules from config
raw_group_rules = extra.get("group_rules", {})
group_rules: Dict[str, FeishuGroupRule] = {}
if isinstance(raw_group_rules, dict):
for chat_id, rule_cfg in raw_group_rules.items():
if not isinstance(rule_cfg, dict):
continue
group_rules[str(chat_id)] = FeishuGroupRule(
policy=str(rule_cfg.get("policy", "open")).strip().lower(),
allowlist=set(str(u).strip() for u in rule_cfg.get("allowlist", []) if str(u).strip()),
blacklist=set(str(u).strip() for u in rule_cfg.get("blacklist", []) if str(u).strip()),
)
# Bot-level admins
raw_admins = extra.get("admins", [])
admins = frozenset(str(u).strip() for u in raw_admins if str(u).strip())
# Default group policy (for groups not in group_rules)
default_group_policy = str(extra.get("default_group_policy", "")).strip().lower()
return FeishuAdapterSettings(
app_id=str(extra.get("app_id") or os.getenv("FEISHU_APP_ID", "")).strip(),
app_secret=str(extra.get("app_secret") or os.getenv("FEISHU_APP_SECRET", "")).strip(),
@@ -1020,6 +1127,13 @@ class FeishuAdapter(BasePlatformAdapter):
str(extra.get("webhook_path") or os.getenv("FEISHU_WEBHOOK_PATH", _DEFAULT_WEBHOOK_PATH)).strip()
or _DEFAULT_WEBHOOK_PATH
),
ws_reconnect_nonce=_coerce_required_int(extra.get("ws_reconnect_nonce"), default=30, min_value=0),
ws_reconnect_interval=_coerce_required_int(extra.get("ws_reconnect_interval"), default=120, min_value=1),
ws_ping_interval=_coerce_int(extra.get("ws_ping_interval"), default=None, min_value=1),
ws_ping_timeout=_coerce_int(extra.get("ws_ping_timeout"), default=None, min_value=1),
admins=admins,
default_group_policy=default_group_policy,
group_rules=group_rules,
)
def _apply_settings(self, settings: FeishuAdapterSettings) -> None:
@@ -1031,6 +1145,9 @@ class FeishuAdapter(BasePlatformAdapter):
self._verification_token = settings.verification_token
self._group_policy = settings.group_policy
self._allowed_group_users = set(settings.allowed_group_users)
self._admins = set(settings.admins)
self._default_group_policy = settings.default_group_policy or settings.group_policy
self._group_rules = settings.group_rules
self._bot_open_id = settings.bot_open_id
self._bot_user_id = settings.bot_user_id
self._bot_name = settings.bot_name
@@ -1042,6 +1159,10 @@ class FeishuAdapter(BasePlatformAdapter):
self._webhook_host = settings.webhook_host
self._webhook_port = settings.webhook_port
self._webhook_path = settings.webhook_path
self._ws_reconnect_nonce = settings.ws_reconnect_nonce
self._ws_reconnect_interval = settings.ws_reconnect_interval
self._ws_ping_interval = settings.ws_ping_interval
self._ws_ping_timeout = settings.ws_ping_timeout
def _build_event_handler(self) -> Any:
if EventDispatcherHandler is None:
@@ -1116,8 +1237,37 @@ class FeishuAdapter(BasePlatformAdapter):
self._reset_batch_buffers()
self._disable_websocket_auto_reconnect()
await self._stop_webhook_server()
ws_thread_loop = self._ws_thread_loop
if ws_thread_loop is not None and not ws_thread_loop.is_closed():
logger.debug("[Feishu] Cancelling websocket thread tasks and stopping loop")
def cancel_all_tasks() -> None:
tasks = [t for t in asyncio.all_tasks(ws_thread_loop) if not t.done()]
logger.debug("[Feishu] Found %d pending tasks in websocket thread", len(tasks))
for task in tasks:
task.cancel()
ws_thread_loop.call_later(0.1, ws_thread_loop.stop)
ws_thread_loop.call_soon_threadsafe(cancel_all_tasks)
ws_future = self._ws_future
if ws_future is not None:
try:
logger.debug("[Feishu] Waiting for websocket thread to exit (timeout=10s)")
await asyncio.wait_for(asyncio.shield(ws_future), timeout=10.0)
logger.debug("[Feishu] Websocket thread exited cleanly")
except asyncio.TimeoutError:
logger.warning("[Feishu] Websocket thread did not exit within 10s - may be stuck")
except asyncio.CancelledError:
logger.debug("[Feishu] Websocket thread cancelled during disconnect")
except Exception as exc:
logger.debug("[Feishu] Websocket thread exited with error: %s", exc, exc_info=True)
self._ws_future = None
self._ws_thread_loop = None
self._loop = None
self._event_handler = None
self._persist_seen_message_ids()
await self._release_app_lock()
@@ -1476,12 +1626,13 @@ class FeishuAdapter(BasePlatformAdapter):
def _on_message_event(self, data: Any) -> None:
"""Normalize Feishu inbound events into MessageEvent."""
if self._loop is None:
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")
return
future = asyncio.run_coroutine_threadsafe(
self._handle_message_event_data(data),
self._loop,
loop,
)
future.add_done_callback(self._log_background_failure)
@@ -1504,7 +1655,8 @@ class FeishuAdapter(BasePlatformAdapter):
return
chat_type = getattr(message, "chat_type", "p2p")
if chat_type != "p2p" and not self._should_accept_group_message(message, sender_id):
chat_id = getattr(message, "chat_id", "") or ""
if chat_type != "p2p" and not self._should_accept_group_message(message, sender_id, chat_id):
logger.debug("[Feishu] Dropping group message that failed mention/policy gate: %s", message_id)
return
await self._process_inbound_message(
@@ -1553,27 +1705,30 @@ class FeishuAdapter(BasePlatformAdapter):
)
# Only process reactions from real users. Ignore app/bot-generated reactions
# and Hermes' own ACK emoji to avoid feedback loops.
loop = self._loop
if (
operator_type in {"bot", "app"}
or emoji_type == _FEISHU_ACK_EMOJI
or not message_id
or self._loop is None
or loop is None
or bool(getattr(loop, "is_closed", lambda: False)())
):
return
future = asyncio.run_coroutine_threadsafe(
self._handle_reaction_event(event_type, data),
self._loop,
loop,
)
future.add_done_callback(self._log_background_failure)
def _on_card_action_trigger(self, data: Any) -> Any:
"""Schedule Feishu card actions on the adapter loop and acknowledge immediately."""
if self._loop is None:
loop = self._loop
if loop is None or bool(getattr(loop, "is_closed", lambda: False)()):
logger.warning("[Feishu] Dropping card action before adapter loop is ready")
else:
future = asyncio.run_coroutine_threadsafe(
self._handle_card_action_event(data),
self._loop,
loop,
)
future.add_done_callback(self._log_background_failure)
if P2CardActionTriggerResponse is None:
@@ -1887,6 +2042,7 @@ class FeishuAdapter(BasePlatformAdapter):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
return f"{session_key}:media:{event.message_type.value}"
@@ -2082,7 +2238,7 @@ class FeishuAdapter(BasePlatformAdapter):
event_type = str((payload.get("header") or {}).get("event_type") or "")
data = self._namespace_from_mapping(payload)
if event_type == "im.message.receive_v1":
await self._handle_message_event_data(data)
self._on_message_event(data)
elif event_type == "im.message.message_read_v1":
self._on_message_read_event(data)
elif event_type == "im.chat.member.bot.added_v1":
@@ -2092,7 +2248,7 @@ class FeishuAdapter(BasePlatformAdapter):
elif event_type in ("im.message.reaction.created_v1", "im.message.reaction.deleted_v1"):
self._on_reaction_event(event_type, data)
elif event_type == "card.action.trigger":
asyncio.ensure_future(self._handle_card_action_event(data))
self._on_card_action_trigger(data)
else:
logger.debug("[Feishu] Ignoring webhook event type: %s", event_type or "unknown")
return web.json_response({"code": 0, "msg": "ok"})
@@ -2163,6 +2319,7 @@ class FeishuAdapter(BasePlatformAdapter):
return build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
@staticmethod
@@ -2655,18 +2812,41 @@ class FeishuAdapter(BasePlatformAdapter):
# Group policy and mention gating
# =========================================================================
def _allow_group_message(self, sender_id: Any) -> bool:
"""Current group policy gate for non-DM traffic."""
if self._group_policy == "disabled":
return False
sender_open_id = getattr(sender_id, "open_id", None) or getattr(sender_id, "user_id", None)
if self._group_policy == "open":
return True
return bool(sender_open_id and sender_open_id in self._allowed_group_users)
def _allow_group_message(self, sender_id: Any, chat_id: str = "") -> bool:
"""Per-group policy gate for non-DM traffic."""
sender_open_id = getattr(sender_id, "open_id", None)
sender_user_id = getattr(sender_id, "user_id", None)
sender_ids = {sender_open_id, sender_user_id} - {None}
def _should_accept_group_message(self, message: Any, sender_id: Any) -> bool:
if sender_ids and self._admins and (sender_ids & self._admins):
return True
rule = self._group_rules.get(chat_id) if chat_id else None
if rule:
policy = rule.policy
allowlist = rule.allowlist
blacklist = rule.blacklist
else:
policy = self._default_group_policy or self._group_policy
allowlist = self._allowed_group_users
blacklist = set()
if policy == "disabled":
return False
if policy == "open":
return True
if policy == "admin_only":
return False
if policy == "allowlist":
return bool(sender_ids and (sender_ids & allowlist))
if policy == "blacklist":
return bool(sender_ids and not (sender_ids & blacklist))
return bool(sender_ids and (sender_ids & self._allowed_group_users))
def _should_accept_group_message(self, message: Any, sender_id: Any, chat_id: str = "") -> bool:
"""Require an explicit @mention before group messages enter the agent."""
if not self._allow_group_message(sender_id):
if not self._allow_group_message(sender_id, chat_id):
return False
# @_all is Feishu's @everyone placeholder — always route to the bot.
raw_content = getattr(message, "content", "") or ""
@@ -2963,6 +3143,12 @@ class FeishuAdapter(BasePlatformAdapter):
raise RuntimeError("websockets not installed; websocket mode unavailable")
domain = FEISHU_DOMAIN if self._domain_name != "lark" else LARK_DOMAIN
self._client = self._build_lark_client(domain)
self._event_handler = self._build_event_handler()
if self._event_handler is None:
raise RuntimeError("failed to build Feishu event handler")
loop = self._loop
if loop is None or loop.is_closed():
raise RuntimeError("adapter loop is not ready")
await self._hydrate_bot_identity()
self._ws_client = FeishuWSClient(
app_id=self._app_id,
@@ -2971,10 +3157,11 @@ class FeishuAdapter(BasePlatformAdapter):
event_handler=self._event_handler,
domain=domain,
)
self._ws_future = self._loop.run_in_executor(
self._ws_future = loop.run_in_executor(
None,
_run_official_feishu_ws_client,
self._ws_client,
self,
)
async def _connect_webhook(self) -> None:
@@ -2982,6 +3169,9 @@ class FeishuAdapter(BasePlatformAdapter):
raise RuntimeError("aiohttp not installed; webhook mode unavailable")
domain = FEISHU_DOMAIN if self._domain_name != "lark" else LARK_DOMAIN
self._client = self._build_lark_client(domain)
self._event_handler = self._build_event_handler()
if self._event_handler is None:
raise RuntimeError("failed to build Feishu event handler")
await self._hydrate_bot_identity()
app = web.Application()
app.router.add_post(self._webhook_path, self._handle_webhook_request)
File diff suppressed because it is too large Load Diff
+19
View File
@@ -513,6 +513,16 @@ class MattermostAdapter(BasePlatformAdapter):
except Exception as exc:
if self._closing:
return
# Detect permanent auth/permission failures that will never
# succeed on retry — stop reconnecting instead of looping forever.
import aiohttp
err_str = str(exc).lower()
if isinstance(exc, aiohttp.WSServerHandshakeError) and exc.status in (401, 403):
logger.error("Mattermost WS auth failed (HTTP %d) — stopping reconnect", exc.status)
return
if "401" in err_str or "403" in err_str or "unauthorized" in err_str:
logger.error("Mattermost WS permanent error: %s — stopping reconnect", exc)
return
logger.warning("Mattermost WS error: %s — reconnecting in %.0fs", exc, delay)
if self._closing:
@@ -691,6 +701,15 @@ class MattermostAdapter(BasePlatformAdapter):
except Exception as exc:
logger.warning("Mattermost: error downloading file %s: %s", fid, exc)
# Set message type based on downloaded media types.
if media_types and msg_type == MessageType.TEXT:
if any(m.startswith("image/") for m in media_types):
msg_type = MessageType.PHOTO
elif any(m.startswith("audio/") for m in media_types):
msg_type = MessageType.VOICE
elif media_types:
msg_type = MessageType.DOCUMENT
source = self.build_source(
chat_id=channel_id,
chat_type=chat_type,
+67 -7
View File
@@ -717,19 +717,27 @@ class SignalAdapter(BasePlatformAdapter):
return SendResult(success=True)
return SendResult(success=False, error="RPC send with attachment failed")
async def send_document(
async def _send_attachment(
self,
chat_id: str,
file_path: str,
media_label: str,
caption: Optional[str] = None,
filename: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a document/file attachment."""
"""Send any file as a Signal attachment via RPC.
Shared implementation for send_document, send_image_file, send_voice,
and send_video avoids duplicating the validation/routing/RPC logic.
"""
await self._stop_typing_indicator(chat_id)
if not Path(file_path).exists():
return SendResult(success=False, error="File not found")
try:
file_size = Path(file_path).stat().st_size
except FileNotFoundError:
return SendResult(success=False, error=f"{media_label} file not found: {file_path}")
if file_size > SIGNAL_MAX_ATTACHMENT_SIZE:
return SendResult(success=False, error=f"{media_label} too large ({file_size} bytes)")
params: Dict[str, Any] = {
"account": self.account,
@@ -746,7 +754,59 @@ class SignalAdapter(BasePlatformAdapter):
if result is not None:
self._track_sent_timestamp(result)
return SendResult(success=True)
return SendResult(success=False, error="RPC send document failed")
return SendResult(success=False, error=f"RPC send {media_label.lower()} failed")
async def send_document(
self,
chat_id: str,
file_path: str,
caption: Optional[str] = None,
filename: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a document/file attachment."""
return await self._send_attachment(chat_id, file_path, "File", caption)
async def send_image_file(
self,
chat_id: str,
image_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a local image file as a native Signal attachment.
Called by the gateway media delivery flow when MEDIA: tags containing
image paths are extracted from agent responses.
"""
return await self._send_attachment(chat_id, image_path, "Image", caption)
async def send_voice(
self,
chat_id: str,
audio_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send an audio file as a Signal attachment.
Signal does not distinguish voice messages from file attachments at
the API level, so this routes through the same RPC send path.
"""
return await self._send_attachment(chat_id, audio_path, "Audio", caption)
async def send_video(
self,
chat_id: str,
video_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a video file as a Signal attachment."""
return await self._send_attachment(chat_id, video_path, "Video", caption)
# ------------------------------------------------------------------
# Typing Indicators
+86 -4
View File
@@ -276,10 +276,13 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return SendResult(success=False, error="Not connected")
try:
# Convert standard markdown → Slack mrkdwn
formatted = self.format_message(content)
await self._get_client(chat_id).chat_update(
channel=chat_id,
ts=message_id,
text=content,
text=formatted,
)
return SendResult(success=True, message_id=message_id)
except Exception as e: # pragma: no cover - defensive logging
@@ -763,11 +766,28 @@ class SlackAdapter(BasePlatformAdapter):
else:
thread_ts = event.get("thread_ts") or ts # ts fallback for channels
# In channels, only respond if bot is mentioned
# In channels, only respond if bot is mentioned OR if this is a
# reply in a thread where the bot has an active session.
bot_uid = self._team_bot_user_ids.get(team_id, self._bot_user_id)
if not is_dm and bot_uid:
if f"<@{bot_uid}>" not in text:
is_mentioned = bot_uid and f"<@{bot_uid}>" in text
if not is_dm and bot_uid and not is_mentioned:
# Check if this is a thread reply (thread_ts exists and differs from ts)
event_thread_ts = event.get("thread_ts")
is_thread_reply = event_thread_ts and event_thread_ts != ts
if is_thread_reply and self._has_active_session_for_thread(
channel_id=channel_id,
thread_ts=event_thread_ts,
user_id=user_id,
):
# Allow thread replies without mention if there's an active session
pass
else:
# Not a thread reply or no active session - ignore
return
if is_mentioned:
# Strip the bot mention from the text
text = text.replace(f"<@{bot_uid}>", "").strip()
@@ -933,6 +953,68 @@ class SlackAdapter(BasePlatformAdapter):
await self.handle_message(event)
def _has_active_session_for_thread(
self,
channel_id: str,
thread_ts: str,
user_id: str,
) -> bool:
"""Check if there's an active session for a thread.
Used to determine if thread replies without @mentions should be
processed (they should if there's an active session).
Args:
channel_id: The Slack channel ID
thread_ts: The thread timestamp (parent message ts)
user_id: The user ID of the sender
Returns:
True if there's an active session for this thread
"""
session_store = getattr(self, "_session_store", None)
if not session_store:
return False
try:
# Build a SessionSource for this thread
from gateway.session import SessionSource
from gateway.config import Platform
source = SessionSource(
platform=Platform.SLACK,
chat_id=channel_id,
chat_type="group",
user_id=user_id,
thread_id=thread_ts,
)
# Generate the session key using the same logic as SessionStore
# This mirrors the logic in build_session_key for group sessions
key_parts = ["agent:main", "slack", "group", channel_id, thread_ts]
# Include user_id if group_sessions_per_user is enabled
# We check the session store config if available
group_sessions_per_user = getattr(
session_store, "config", {}
)
if hasattr(group_sessions_per_user, "group_sessions_per_user"):
group_sessions_per_user = group_sessions_per_user.group_sessions_per_user
else:
group_sessions_per_user = True # Default
if group_sessions_per_user and user_id:
key_parts.append(str(user_id))
session_key = ":".join(key_parts)
# Check if the session exists in the store
session_store._ensure_loaded()
return session_key in session_store._entries
except Exception:
# If anything goes wrong, default to False (require mention)
return False
async def _download_slack_file(self, url: str, ext: str, audio: bool = False, team_id: str = "") -> str:
"""Download a Slack file using the bot token for auth, with retry."""
import asyncio
+419 -3
View File
@@ -17,10 +17,11 @@ from typing import Dict, List, Optional, Any
logger = logging.getLogger(__name__)
try:
from telegram import Update, Bot, Message
from telegram import Update, Bot, Message, InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import (
Application,
CommandHandler,
CallbackQueryHandler,
MessageHandler as TelegramMessageHandler,
ContextTypes,
filters,
@@ -33,8 +34,11 @@ except ImportError:
Update = Any
Bot = Any
Message = Any
InlineKeyboardButton = Any
InlineKeyboardMarkup = Any
Application = Any
CommandHandler = Any
CallbackQueryHandler = Any
TelegramMessageHandler = Any
HTTPXRequest = Any
filters = None
@@ -147,6 +151,8 @@ class TelegramAdapter(BasePlatformAdapter):
self._dm_topics: Dict[str, int] = {}
# DM Topics config from extra.dm_topics
self._dm_topics_config: List[Dict[str, Any]] = self.config.extra.get("dm_topics", [])
# Interactive model picker state per chat
self._model_picker_state: Dict[str, dict] = {}
def _fallback_ips(self) -> list[str]:
"""Return validated fallback IPs from config (populated by _apply_env_overrides)."""
@@ -514,7 +520,7 @@ class TelegramAdapter(BasePlatformAdapter):
", ".join(fallback_ips),
)
if fallback_ips:
logger.warning(
logger.info(
"[%s] Telegram fallback IPs active: %s",
self.name,
", ".join(fallback_ips),
@@ -543,6 +549,8 @@ class TelegramAdapter(BasePlatformAdapter):
filters.PHOTO | filters.VIDEO | filters.AUDIO | filters.VOICE | filters.Document.ALL | filters.Sticker.ALL,
self._handle_media_message
))
# Handle inline keyboard button callbacks (update prompts)
self._app.add_handler(CallbackQueryHandler(self._handle_callback_query))
# Start polling — retry initialize() for transient TLS resets
try:
@@ -595,6 +603,12 @@ class TelegramAdapter(BasePlatformAdapter):
)
else:
# ── Polling mode (default) ───────────────────────────
# Clear any stale webhook first so polling doesn't inherit a
# previous webhook registration and silently stop receiving updates.
delete_webhook = getattr(self._bot, "delete_webhook", None)
if callable(delete_webhook):
await delete_webhook(drop_pending_updates=False)
loop = asyncio.get_running_loop()
def _polling_error_callback(error: Exception) -> None:
@@ -772,6 +786,11 @@ class TelegramAdapter(BasePlatformAdapter):
except ImportError:
_BadReq = None # type: ignore[assignment,misc]
try:
from telegram.error import TimedOut as _TimedOut
except (ImportError, AttributeError):
_TimedOut = None # type: ignore[assignment,misc]
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
@@ -833,6 +852,11 @@ class TelegramAdapter(BasePlatformAdapter):
continue
# Other BadRequest errors are permanent — don't retry
raise
# TimedOut is also a subclass of NetworkError but
# indicates the request may have reached the server —
# retrying risks duplicate message delivery.
if _TimedOut and isinstance(send_err, _TimedOut):
raise
if _send_attempt < 2:
wait = 2 ** _send_attempt
logger.warning("[%s] Network error on send (attempt %d/3), retrying in %ds: %s",
@@ -840,6 +864,21 @@ class TelegramAdapter(BasePlatformAdapter):
await asyncio.sleep(wait)
else:
raise
except Exception as send_err:
retry_after = getattr(send_err, "retry_after", None)
if retry_after is not None or "retry after" in str(send_err).lower():
if _send_attempt < 2:
wait = float(retry_after) if retry_after is not None else 1.0
logger.warning(
"[%s] Telegram flood control on send (attempt %d/3), retrying in %.1fs: %s",
self.name,
_send_attempt + 1,
wait,
send_err,
)
await asyncio.sleep(wait)
continue
raise
message_ids.append(str(msg.message_id))
return SendResult(
@@ -850,7 +889,12 @@ class TelegramAdapter(BasePlatformAdapter):
except Exception as e:
logger.error("[%s] Failed to send Telegram message: %s", self.name, e, exc_info=True)
return SendResult(success=False, error=str(e))
# TimedOut means the request may have reached Telegram —
# mark as non-retryable so _send_with_retry() doesn't re-send.
_to = locals().get("_TimedOut")
err_str = str(e).lower()
is_timeout = (_to and isinstance(e, _to)) or "timed out" in err_str
return SendResult(success=False, error=str(e), retryable=not is_timeout)
async def edit_message(
self,
@@ -935,6 +979,376 @@ class TelegramAdapter(BasePlatformAdapter):
)
return SendResult(success=False, error=str(e))
async def send_update_prompt(
self, chat_id: str, prompt: str, default: str = "",
session_key: str = "",
) -> SendResult:
"""Send an inline-keyboard update prompt (Yes / No buttons).
Used by the gateway ``/update`` watcher when ``hermes update --gateway``
needs user input (stash restore, config migration).
"""
if not self._bot:
return SendResult(success=False, error="Not connected")
try:
default_hint = f" (default: {default})" if default else ""
text = f"⚕ *Update needs your input:*\n\n{prompt}{default_hint}"
keyboard = InlineKeyboardMarkup([
[
InlineKeyboardButton("✓ Yes", callback_data="update_prompt:y"),
InlineKeyboardButton("✗ No", callback_data="update_prompt:n"),
]
])
msg = await self._bot.send_message(
chat_id=int(chat_id),
text=text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
logger.warning("[%s] send_update_prompt failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
async def send_model_picker(
self,
chat_id: str,
providers: list,
current_model: str,
current_provider: str,
session_key: str,
on_model_selected,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an interactive inline-keyboard model picker.
Two-step drill-down: provider selection model selection.
Edits the same message in-place as the user navigates.
"""
if not self._bot:
return SendResult(success=False, error="Not connected")
try:
from hermes_cli.providers import get_label
except ImportError:
def get_label(slug):
return slug
try:
# Build provider buttons — 2 per row
buttons: list = []
for p in providers:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count})"
if p.get("is_current"):
label = f"{label}"
# Compact callback data: mp:<slug> (max 64 bytes)
buttons.append(
InlineKeyboardButton(label, callback_data=f"mp:{p['slug']}")
)
rows = [buttons[i : i + 2] for i in range(0, len(buttons), 2)]
rows.append([InlineKeyboardButton("✗ Cancel", callback_data="mx")])
keyboard = InlineKeyboardMarkup(rows)
provider_label = get_label(current_provider)
text = (
f"⚙ *Model Configuration*\n\n"
f"Current model: `{current_model or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
)
thread_id = metadata.get("thread_id") if metadata else None
msg = await self._bot.send_message(
chat_id=int(chat_id),
text=text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
message_thread_id=int(thread_id) if thread_id else None,
)
# Store picker state keyed by chat_id
self._model_picker_state[str(chat_id)] = {
"msg_id": msg.message_id,
"providers": providers,
"session_key": session_key,
"on_model_selected": on_model_selected,
"current_model": current_model,
"current_provider": current_provider,
}
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
logger.warning("[%s] send_model_picker failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
_MODEL_PAGE_SIZE = 8
def _build_model_keyboard(self, models: list, page: int) -> tuple:
"""Build paginated model buttons. Returns (keyboard, page_info_text)."""
page_size = self._MODEL_PAGE_SIZE
total = len(models)
total_pages = max(1, (total + page_size - 1) // page_size)
page = max(0, min(page, total_pages - 1))
start = page * page_size
end = min(start + page_size, total)
page_models = models[start:end]
buttons: list = []
for i, model_id in enumerate(page_models):
abs_idx = start + i
short = model_id.split("/")[-1] if "/" in model_id else model_id
if len(short) > 38:
short = short[:35] + "..."
buttons.append(
InlineKeyboardButton(short, callback_data=f"mm:{abs_idx}")
)
rows = [buttons[i : i + 2] for i in range(0, len(buttons), 2)]
# Pagination row (if needed)
if total_pages > 1:
nav: list = []
if page > 0:
nav.append(InlineKeyboardButton("◀ Prev", callback_data=f"mg:{page - 1}"))
nav.append(InlineKeyboardButton(f"{page + 1}/{total_pages}", callback_data="mx:noop"))
if page < total_pages - 1:
nav.append(InlineKeyboardButton("Next ▶", callback_data=f"mg:{page + 1}"))
rows.append(nav)
rows.append([
InlineKeyboardButton("◀ Back", callback_data="mb"),
InlineKeyboardButton("✗ Cancel", callback_data="mx"),
])
page_info = f" ({start + 1}{end} of {total})" if total_pages > 1 else ""
return InlineKeyboardMarkup(rows), page_info
async def _handle_model_picker_callback(
self, query, data: str, chat_id: str
) -> None:
"""Handle model picker inline keyboard callbacks (mp:/mm:/mb:/mx:/mg:)."""
state = self._model_picker_state.get(chat_id)
if not state:
await query.answer(text="Picker expired — use /model again.")
return
try:
from hermes_cli.providers import get_label
except ImportError:
def get_label(slug):
return slug
if data.startswith("mp:"):
# --- Provider selected: show model buttons (page 0) ---
provider_slug = data[3:]
provider = next(
(p for p in state["providers"] if p["slug"] == provider_slug),
None,
)
if not provider:
await query.answer(text="Provider not found.")
return
models = provider.get("models", [])
state["selected_provider"] = provider_slug
state["selected_provider_name"] = provider.get("name", provider_slug)
state["model_list"] = models
state["model_page"] = 0
keyboard, page_info = self._build_model_keyboard(models, 0)
pname = provider.get("name", provider_slug)
total = provider.get("total_models", len(models))
shown = len(models)
extra = f"\n_{total - shown} more available — type `/model <name>` directly_" if total > shown else ""
await query.edit_message_text(
text=(
f"⚙ *Model Configuration*\n\n"
f"Provider: *{pname}*{page_info}\n"
f"Select a model:{extra}"
),
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
await query.answer()
elif data.startswith("mg:"):
# --- Page navigation ---
try:
page = int(data[3:])
except ValueError:
await query.answer(text="Invalid page.")
return
models = state.get("model_list", [])
state["model_page"] = page
keyboard, page_info = self._build_model_keyboard(models, page)
pname = state.get("selected_provider_name", "")
provider_slug = state.get("selected_provider", "")
provider = next(
(p for p in state["providers"] if p["slug"] == provider_slug),
None,
)
total = provider.get("total_models", len(models)) if provider else len(models)
shown = len(models)
extra = f"\n_{total - shown} more available — type `/model <name>` directly_" if total > shown else ""
await query.edit_message_text(
text=(
f"⚙ *Model Configuration*\n\n"
f"Provider: *{pname}*{page_info}\n"
f"Select a model:{extra}"
),
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
await query.answer()
elif data.startswith("mm:"):
# --- Model selected: perform the switch ---
try:
idx = int(data[3:])
except ValueError:
await query.answer(text="Invalid selection.")
return
model_list = state.get("model_list", [])
if idx < 0 or idx >= len(model_list):
await query.answer(text="Invalid model index.")
return
model_id = model_list[idx]
provider_slug = state.get("selected_provider", "")
callback = state.get("on_model_selected")
if not callback:
await query.answer(text="Picker expired.")
return
try:
result_text = await callback(chat_id, model_id, provider_slug)
except Exception as exc:
logger.error("Model picker switch failed: %s", exc)
result_text = f"Error switching model: {exc}"
# Edit message to show confirmation, remove buttons
try:
await query.edit_message_text(
text=result_text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=None,
)
except Exception:
# Markdown parse failure — retry as plain text
try:
await query.edit_message_text(
text=result_text,
parse_mode=None,
reply_markup=None,
)
except Exception:
pass
await query.answer(text="Model switched!")
# Clean up state
self._model_picker_state.pop(chat_id, None)
elif data == "mb":
# --- Back to provider list ---
buttons = []
for p in state["providers"]:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count})"
if p.get("is_current"):
label = f"{label}"
buttons.append(
InlineKeyboardButton(label, callback_data=f"mp:{p['slug']}")
)
rows = [buttons[i : i + 2] for i in range(0, len(buttons), 2)]
rows.append([InlineKeyboardButton("✗ Cancel", callback_data="mx")])
keyboard = InlineKeyboardMarkup(rows)
try:
provider_label = get_label(state["current_provider"])
except Exception:
provider_label = state["current_provider"]
await query.edit_message_text(
text=(
f"⚙ *Model Configuration*\n\n"
f"Current model: `{state['current_model'] or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
),
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
await query.answer()
elif data == "mx":
# --- Cancel ---
self._model_picker_state.pop(chat_id, None)
await query.edit_message_text(
text="Model selection cancelled.",
reply_markup=None,
)
await query.answer()
else:
# Catch-all (e.g. page counter button "mx:noop")
await query.answer()
async def _handle_callback_query(
self, update: "Update", context: "ContextTypes.DEFAULT_TYPE"
) -> None:
"""Handle inline keyboard button clicks."""
query = update.callback_query
if not query or not query.data:
return
data = query.data
# --- Model picker callbacks ---
if data.startswith(("mp:", "mm:", "mb", "mx", "mg:")):
chat_id = str(query.message.chat_id) if query.message else None
if chat_id:
await self._handle_model_picker_callback(query, data, chat_id)
return
# --- Update prompt callbacks ---
if not data.startswith("update_prompt:"):
return
answer = data.split(":", 1)[1] # "y" or "n"
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"
try:
await query.edit_message_text(
text=f"⚕ Update prompt answered: *{label}*",
parse_mode=ParseMode.MARKDOWN,
reply_markup=None,
)
except Exception:
pass # non-fatal if edit fails
# Write the response file
try:
from hermes_constants import get_hermes_home
home = get_hermes_home()
response_path = home / ".update_response"
tmp = response_path.with_suffix(".tmp")
tmp.write_text(answer)
tmp.replace(response_path)
logger.info("Telegram update prompt answered '%s' by user %s",
answer, getattr(query.from_user, "id", "unknown"))
except Exception as exc:
logger.error("Failed to write update response from callback: %s", exc)
async def send_voice(
self,
chat_id: str,
@@ -1603,6 +2017,7 @@ class TelegramAdapter(BasePlatformAdapter):
return build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
def _enqueue_text_event(self, event: MessageEvent) -> None:
@@ -1661,6 +2076,7 @@ class TelegramAdapter(BasePlatformAdapter):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
media_group_id = getattr(msg, "media_group_id", None)
if media_group_id:
+14 -1
View File
@@ -484,6 +484,10 @@ class WebhookAdapter(BasePlatformAdapter):
Supports dot-notation access into nested dicts:
``{pull_request.title}`` ``payload["pull_request"]["title"]``
Special token ``{__raw__}`` dumps the entire payload as indented
JSON (truncated to 4000 chars). Useful for monitoring alerts or
any webhook where the agent needs to see the full payload.
"""
if not template:
truncated = json.dumps(payload, indent=2)[:4000]
@@ -494,6 +498,9 @@ class WebhookAdapter(BasePlatformAdapter):
def _resolve(match: re.Match) -> str:
key = match.group(1)
# Special token: dump the entire payload as JSON
if key == "__raw__":
return json.dumps(payload, indent=2)[:4000]
value: Any = payload
for part in key.split("."):
if isinstance(value, dict):
@@ -613,4 +620,10 @@ class WebhookAdapter(BasePlatformAdapter):
error=f"No chat_id or home channel for {platform_name}",
)
return await adapter.send(chat_id, content)
# Pass thread_id from deliver_extra so Telegram forum topics work
metadata = None
thread_id = extra.get("message_thread_id") or extra.get("thread_id")
if thread_id:
metadata = {"thread_id": thread_id}
return await adapter.send(chat_id, content, metadata=metadata)
+996 -98
View File
File diff suppressed because it is too large Load Diff
+36 -5
View File
@@ -254,8 +254,22 @@ def build_session_context_prompt(
if context.source.chat_topic:
lines.append(f"**Channel Topic:** {context.source.chat_topic}")
# User identity (especially useful for WhatsApp where multiple people DM)
if context.source.user_name:
# User identity.
# In shared thread sessions (non-DM with thread_id), multiple users
# contribute to the same conversation. Don't pin a single user name
# in the system prompt — it changes per-turn and would bust the prompt
# cache. Instead, note that this is a multi-user thread; individual
# sender names are prefixed on each user message by the gateway.
_is_shared_thread = (
context.source.chat_type != "dm"
and context.source.thread_id
)
if _is_shared_thread:
lines.append(
"**Session type:** Multi-user thread — messages are prefixed "
"with [sender name]. Multiple users may participate."
)
elif context.source.user_name:
lines.append(f"**User:** {context.source.user_name}")
elif context.source.user_id:
uid = context.source.user_id
@@ -427,7 +441,11 @@ class SessionEntry:
)
def build_session_key(source: SessionSource, group_sessions_per_user: bool = True) -> str:
def build_session_key(
source: SessionSource,
group_sessions_per_user: bool = True,
thread_sessions_per_user: bool = False,
) -> str:
"""Build a deterministic session key from a message source.
This is the single source of truth for session key construction.
@@ -442,7 +460,11 @@ def build_session_key(source: SessionSource, group_sessions_per_user: bool = Tru
- chat_id identifies the parent group/channel.
- user_id/user_id_alt isolates participants within that parent chat when available when
``group_sessions_per_user`` is enabled.
- thread_id differentiates threads within that parent chat.
- thread_id differentiates threads within that parent chat. When
``thread_sessions_per_user`` is False (default), threads are *shared* across all
participants user_id is NOT appended, so every user in the thread
shares a single session. This is the expected UX for threaded
conversations (Telegram forum topics, Discord threads, Slack threads).
- Without participant identifiers, or when isolation is disabled, messages fall back to one
shared session per chat.
- Without identifiers, messages fall back to one session per platform/chat_type.
@@ -464,7 +486,15 @@ def build_session_key(source: SessionSource, group_sessions_per_user: bool = Tru
key_parts.append(source.chat_id)
if source.thread_id:
key_parts.append(source.thread_id)
if group_sessions_per_user and participant_id:
# In threads, default to shared sessions (all participants see the same
# conversation). Per-user isolation only applies when explicitly enabled
# via thread_sessions_per_user, or when there is no thread (regular group).
isolate_user = group_sessions_per_user
if source.thread_id and not thread_sessions_per_user:
isolate_user = False
if isolate_user and participant_id:
key_parts.append(str(participant_id))
return ":".join(key_parts)
@@ -552,6 +582,7 @@ class SessionStore:
return build_session_key(
source,
group_sessions_per_user=getattr(self.config, "group_sessions_per_user", True),
thread_sessions_per_user=getattr(self.config, "thread_sessions_per_user", False),
)
def _is_session_expired(self, entry: SessionEntry) -> bool:
+59 -2
View File
@@ -18,6 +18,7 @@ from __future__ import annotations
import asyncio
import logging
import queue
import re
import time
from dataclasses import dataclass
from typing import Any, Optional
@@ -27,6 +28,10 @@ logger = logging.getLogger("gateway.stream_consumer")
# Sentinel to signal the stream is complete
_DONE = object()
# Sentinel to signal a tool boundary — finalize current message and start a
# new one so that subsequent text appears below tool progress messages.
_NEW_SEGMENT = object()
@dataclass
class StreamConsumerConfig:
@@ -77,9 +82,16 @@ class GatewayStreamConsumer:
return self._already_sent
def on_delta(self, text: str) -> None:
"""Thread-safe callback — called from the agent's worker thread."""
"""Thread-safe callback — called from the agent's worker thread.
When *text* is ``None``, signals a tool boundary: the current message
is finalized and subsequent text will be sent as a new message so it
appears below any tool-progress messages the gateway sent in between.
"""
if text:
self._queue.put(text)
elif text is None:
self._queue.put(_NEW_SEGMENT)
def finish(self) -> None:
"""Signal that the stream is complete."""
@@ -95,12 +107,16 @@ class GatewayStreamConsumer:
while True:
# Drain all available items from the queue
got_done = False
got_segment_break = False
while True:
try:
item = self._queue.get_nowait()
if item is _DONE:
got_done = True
break
if item is _NEW_SEGMENT:
got_segment_break = True
break
self._accumulated += item
except queue.Empty:
break
@@ -110,6 +126,7 @@ class GatewayStreamConsumer:
elapsed = now - self._last_edit_time
should_edit = (
got_done
or got_segment_break
or (elapsed >= self.cfg.edit_interval
and len(self._accumulated) > 0)
or len(self._accumulated) >= self.cfg.buffer_threshold
@@ -132,7 +149,7 @@ class GatewayStreamConsumer:
self._last_sent_text = ""
display_text = self._accumulated
if not got_done:
if not got_done and not got_segment_break:
display_text += self.cfg.cursor
await self._send_or_edit(display_text)
@@ -144,6 +161,15 @@ class GatewayStreamConsumer:
await self._send_or_edit(self._accumulated)
return
# Tool boundary: the should_edit block above already flushed
# accumulated text without a cursor. Reset state so the next
# text chunk creates a fresh message below any tool-progress
# messages the gateway sent in between.
if got_segment_break:
self._message_id = None
self._accumulated = ""
self._last_sent_text = ""
await asyncio.sleep(0.05) # Small yield to not busy-loop
except asyncio.CancelledError:
@@ -156,8 +182,39 @@ class GatewayStreamConsumer:
except Exception as e:
logger.error("Stream consumer error: %s", e)
# Pattern to strip MEDIA:<path> tags (including optional surrounding quotes).
# Matches the simple cleanup regex used by the non-streaming path in
# gateway/platforms/base.py for post-processing.
_MEDIA_RE = re.compile(r'''[`"']?MEDIA:\s*\S+[`"']?''')
@staticmethod
def _clean_for_display(text: str) -> str:
"""Strip MEDIA: directives and internal markers from text before display.
The streaming path delivers raw text chunks that may include
``MEDIA:<path>`` tags and ``[[audio_as_voice]]`` directives meant for
the platform adapter's post-processing. The actual media files are
delivered separately via ``_deliver_media_from_response()`` after the
stream finishes we just need to hide the raw directives from the
user.
"""
if "MEDIA:" not in text and "[[audio_as_voice]]" not in text:
return text
cleaned = text.replace("[[audio_as_voice]]", "")
cleaned = GatewayStreamConsumer._MEDIA_RE.sub("", cleaned)
# Collapse excessive blank lines left behind by removed tags
cleaned = re.sub(r'\n{3,}', '\n\n', cleaned)
# Strip trailing whitespace/newlines but preserve leading content
return cleaned.rstrip()
async def _send_or_edit(self, text: str) -> None:
"""Send or edit the streaming message."""
# Strip MEDIA: directives so they don't appear as visible text.
# Media files are delivered as native attachments after the stream
# finishes (via _deliver_media_from_response in gateway/run.py).
text = self._clean_for_display(text)
if not text.strip():
return
try:
if self._message_id is not None:
if self._edit_supported:
+257 -48
View File
@@ -69,6 +69,7 @@ DEVICE_AUTH_POLL_INTERVAL_CAP_SECONDS = 1 # poll at most every 1s
DEFAULT_CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
DEFAULT_GITHUB_MODELS_BASE_URL = "https://api.githubcopilot.com"
DEFAULT_COPILOT_ACP_BASE_URL = "acp://copilot"
DEFAULT_GEMINI_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai"
CODEX_OAUTH_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
@@ -125,6 +126,14 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
inference_base_url=DEFAULT_COPILOT_ACP_BASE_URL,
base_url_env_var="COPILOT_ACP_BASE_URL",
),
"gemini": ProviderConfig(
id="gemini",
name="Google AI Studio",
auth_type="api_key",
inference_base_url="https://generativelanguage.googleapis.com/v1beta/openai",
api_key_env_vars=("GOOGLE_API_KEY", "GEMINI_API_KEY"),
base_url_env_var="GEMINI_BASE_URL",
),
"zai": ProviderConfig(
id="zai",
name="Z.AI / GLM",
@@ -395,6 +404,47 @@ def detect_zai_endpoint(api_key: str, timeout: float = 8.0) -> Optional[Dict[str
return None
def _resolve_zai_base_url(api_key: str, default_url: str, env_override: str) -> str:
"""Return the correct Z.AI base URL by probing endpoints.
If the user has explicitly set GLM_BASE_URL, that always wins.
Otherwise, probe the candidate endpoints to find one that accepts the
key. The detected endpoint is cached in provider state (auth.json) keyed
on a hash of the API key so subsequent starts skip the probe.
"""
if env_override:
return env_override
# Check provider-state cache for a previously-detected endpoint.
auth_store = _load_auth_store()
state = _load_provider_state(auth_store, "zai") or {}
cached = state.get("detected_endpoint")
if isinstance(cached, dict) and cached.get("base_url"):
key_hash = cached.get("key_hash", "")
if key_hash == hashlib.sha256(api_key.encode()).hexdigest()[:16]:
logger.debug("Z.AI: using cached endpoint %s", cached["base_url"])
return cached["base_url"]
# Probe — may take up to ~8s per endpoint.
detected = detect_zai_endpoint(api_key)
if detected and detected.get("base_url"):
# Persist the detection result keyed on the API key hash.
key_hash = hashlib.sha256(api_key.encode()).hexdigest()[:16]
state["detected_endpoint"] = {
"base_url": detected["base_url"],
"endpoint_id": detected.get("id", ""),
"model": detected.get("model", ""),
"label": detected.get("label", ""),
"key_hash": key_hash,
}
_save_provider_state(auth_store, "zai", state)
logger.info("Z.AI: auto-detected endpoint %s (%s)", detected["label"], detected["base_url"])
return detected["base_url"]
logger.debug("Z.AI: probe failed, falling back to default %s", default_url)
return default_url
# =============================================================================
# Error Types
# =============================================================================
@@ -711,6 +761,32 @@ def deactivate_provider() -> None:
# Provider Resolution — picks which provider to use
# =============================================================================
def _get_config_hint_for_unknown_provider(provider_name: str) -> str:
"""Return a helpful hint string when provider resolution fails.
Checks for common config.yaml mistakes (malformed custom_providers, etc.)
and returns a human-readable diagnostic, or empty string if nothing found.
"""
try:
from hermes_cli.config import validate_config_structure
issues = validate_config_structure()
if not issues:
return ""
lines = ["Config issue detected — run 'hermes doctor' for full diagnostics:"]
for ci in issues:
prefix = "ERROR" if ci.severity == "error" else "WARNING"
lines.append(f" [{prefix}] {ci.message}")
# Show first line of hint
first_hint = ci.hint.splitlines()[0] if ci.hint else ""
if first_hint:
lines.append(f"{first_hint}")
return "\n".join(lines)
except Exception:
return ""
def resolve_provider(
requested: Optional[str] = None,
*,
@@ -732,6 +808,7 @@ def resolve_provider(
# Normalize provider aliases
_PROVIDER_ALIASES = {
"glm": "zai", "z-ai": "zai", "z.ai": "zai", "zhipu": "zai",
"google": "gemini", "google-gemini": "gemini", "google-ai-studio": "gemini",
"kimi": "kimi-coding", "moonshot": "kimi-coding",
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
"claude": "anthropic", "claude-code": "anthropic",
@@ -757,10 +834,14 @@ def resolve_provider(
if normalized in PROVIDER_REGISTRY:
return normalized
if normalized != "auto":
raise AuthError(
f"Unknown provider '{normalized}'.",
code="invalid_provider",
)
# Check for common config.yaml issues that cause this error
_config_hint = _get_config_hint_for_unknown_provider(normalized)
msg = f"Unknown provider '{normalized}'."
if _config_hint:
msg += f"\n\n{_config_hint}"
else:
msg += " Check 'hermes model' for available providers, or run 'hermes doctor' to diagnose config issues."
raise AuthError(msg, code="invalid_provider")
# Explicit one-off CLI creds always mean openrouter/custom
if explicit_api_key or explicit_base_url:
@@ -896,7 +977,7 @@ def _read_codex_tokens(*, _lock: bool = True) -> Dict[str, Any]:
state = _load_provider_state(auth_store, "openai-codex")
if not state:
raise AuthError(
"No Codex credentials stored. Run `hermes login` to authenticate.",
"No Codex credentials stored. Run `hermes auth` to authenticate.",
provider="openai-codex",
code="codex_auth_missing",
relogin_required=True,
@@ -904,7 +985,7 @@ def _read_codex_tokens(*, _lock: bool = True) -> Dict[str, Any]:
tokens = state.get("tokens")
if not isinstance(tokens, dict):
raise AuthError(
"Codex auth state is missing tokens. Run `hermes login` to re-authenticate.",
"Codex auth state is missing tokens. Run `hermes auth` to re-authenticate.",
provider="openai-codex",
code="codex_auth_invalid_shape",
relogin_required=True,
@@ -913,14 +994,14 @@ def _read_codex_tokens(*, _lock: bool = True) -> Dict[str, Any]:
refresh_token = tokens.get("refresh_token")
if not isinstance(access_token, str) or not access_token.strip():
raise AuthError(
"Codex auth is missing access_token. Run `hermes login` to re-authenticate.",
"Codex auth is missing access_token. Run `hermes auth` to re-authenticate.",
provider="openai-codex",
code="codex_auth_missing_access_token",
relogin_required=True,
)
if not isinstance(refresh_token, str) or not refresh_token.strip():
raise AuthError(
"Codex auth is missing refresh_token. Run `hermes login` to re-authenticate.",
"Codex auth is missing refresh_token. Run `hermes auth` to re-authenticate.",
provider="openai-codex",
code="codex_auth_missing_refresh_token",
relogin_required=True,
@@ -955,7 +1036,7 @@ def refresh_codex_oauth_pure(
del access_token # Access token is only used by callers to decide whether to refresh.
if not isinstance(refresh_token, str) or not refresh_token.strip():
raise AuthError(
"Codex auth is missing refresh_token. Run `hermes login` to re-authenticate.",
"Codex auth is missing refresh_token. Run `hermes auth` to re-authenticate.",
provider="openai-codex",
code="codex_auth_missing_refresh_token",
relogin_required=True,
@@ -990,6 +1071,14 @@ def refresh_codex_oauth_pure(
pass
if code in {"invalid_grant", "invalid_token", "invalid_request"}:
relogin_required = True
if code == "refresh_token_reused":
message = (
"Codex refresh token was already consumed by another client "
"(e.g. Codex CLI or VS Code extension). "
"Run `codex` in your terminal to generate fresh tokens, "
"then run `hermes auth` to re-authenticate."
)
relogin_required = True
raise AuthError(
message,
provider="openai-codex",
@@ -1051,7 +1140,8 @@ def _refresh_codex_auth_tokens(
def _import_codex_cli_tokens() -> Optional[Dict[str, str]]:
"""Try to read tokens from ~/.codex/auth.json (Codex CLI shared file).
Returns tokens dict if valid, None otherwise. Does NOT write to the shared file.
Returns tokens dict if valid and not expired, None otherwise.
Does NOT write to the shared file.
"""
codex_home = os.getenv("CODEX_HOME", "").strip()
if not codex_home:
@@ -1064,7 +1154,17 @@ def _import_codex_cli_tokens() -> Optional[Dict[str, str]]:
tokens = payload.get("tokens")
if not isinstance(tokens, dict):
return None
if not tokens.get("access_token") or not tokens.get("refresh_token"):
access_token = tokens.get("access_token")
refresh_token = tokens.get("refresh_token")
if not access_token or not refresh_token:
return None
# Reject expired tokens — importing stale tokens from ~/.codex/
# that can't be refreshed leaves the user stuck with "Login successful!"
# but no working credentials.
if _codex_access_token_is_expiring(access_token, 0):
logger.debug(
"Codex CLI tokens at %s are expired — skipping import.", auth_path,
)
return None
return dict(tokens)
except Exception:
@@ -1092,7 +1192,7 @@ def resolve_codex_runtime_credentials(
logger.info("Migrating Codex credentials from ~/.codex/ to Hermes auth store")
print("⚠️ Migrating Codex credentials to Hermes's own auth store.")
print(" This avoids conflicts with Codex CLI and VS Code.")
print(" Run `hermes login` to create a fully independent session.\n")
print(" Run `hermes auth` to create a fully independent session.\n")
_save_codex_tokens(cli_tokens)
data = _read_codex_tokens()
else:
@@ -1856,7 +1956,36 @@ def get_nous_auth_status() -> Dict[str, Any]:
def get_codex_auth_status() -> Dict[str, Any]:
"""Status snapshot for Codex auth."""
"""Status snapshot for Codex auth.
Checks the credential pool first (where `hermes auth` stores credentials),
then falls back to the legacy provider state.
"""
# Check credential pool first — this is where `hermes auth` and
# `hermes model` store device_code tokens.
try:
from agent.credential_pool import load_pool
pool = load_pool("openai-codex")
if pool and pool.has_credentials():
entry = pool.select()
if entry is not None:
api_key = (
getattr(entry, "runtime_api_key", None)
or getattr(entry, "access_token", "")
)
if api_key and not _codex_access_token_is_expiring(api_key, 0):
return {
"logged_in": True,
"auth_store": str(_auth_file_path()),
"last_refresh": getattr(entry, "last_refresh", None),
"auth_mode": "chatgpt",
"source": f"pool:{getattr(entry, 'label', 'unknown')}",
"api_key": api_key,
}
except Exception:
pass
# Fall back to legacy provider state
try:
creds = resolve_codex_runtime_credentials()
return {
@@ -1865,6 +1994,7 @@ def get_codex_auth_status() -> Dict[str, Any]:
"last_refresh": creds.get("last_refresh"),
"auth_mode": creds.get("auth_mode"),
"source": creds.get("source"),
"api_key": creds.get("api_key"),
}
except AuthError as exc:
return {
@@ -1974,6 +2104,8 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
if provider_id == "kimi-coding":
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)
elif env_url:
base_url = env_url.rstrip("/")
else:
@@ -2048,7 +2180,7 @@ def detect_external_credentials() -> List[Dict[str, Any]]:
found.append({
"provider": "openai-codex",
"path": str(codex_path),
"label": f"Codex CLI credentials found ({codex_path}) — run `hermes login` to create a separate session",
"label": f"Codex CLI credentials found ({codex_path}) — run `hermes auth` to create a separate session",
})
return found
@@ -2143,8 +2275,18 @@ def _reset_config_provider() -> Path:
return config_path
def _prompt_model_selection(model_ids: List[str], current_model: str = "") -> Optional[str]:
"""Interactive model selection. Puts current_model first with a marker. Returns chosen model ID or None."""
def _prompt_model_selection(
model_ids: List[str],
current_model: str = "",
pricing: Optional[Dict[str, Dict[str, str]]] = None,
) -> Optional[str]:
"""Interactive model selection. Puts current_model first with a marker. Returns chosen model ID or None.
If *pricing* is provided (``{model_id: {prompt, completion}}``), a compact
price indicator is shown next to each model in aligned columns.
"""
from hermes_cli.models import _format_price_per_mtok
# Reorder: current model first, then the rest (deduplicated)
ordered = []
if current_model and current_model in model_ids:
@@ -2153,15 +2295,61 @@ def _prompt_model_selection(model_ids: List[str], current_model: str = "") -> Op
if mid not in ordered:
ordered.append(mid)
# Build display labels with marker on current
# Column-aligned labels when pricing is available
has_pricing = bool(pricing and any(pricing.get(m) for m in ordered))
name_col = max((len(m) for m in ordered), default=0) + 2 if has_pricing else 0
# Pre-compute formatted prices and dynamic column widths
_price_cache: dict[str, tuple[str, str, str]] = {}
price_col = 3 # minimum width
cache_col = 0 # only set if any model has cache pricing
has_cache = False
if has_pricing:
for mid in ordered:
p = pricing.get(mid) # type: ignore[union-attr]
if p:
inp = _format_price_per_mtok(p.get("prompt", ""))
out = _format_price_per_mtok(p.get("completion", ""))
cache_read = p.get("input_cache_read", "")
cache = _format_price_per_mtok(cache_read) if cache_read else ""
if cache:
has_cache = True
else:
inp, out, cache = "", "", ""
_price_cache[mid] = (inp, out, cache)
price_col = max(price_col, len(inp), len(out))
cache_col = max(cache_col, len(cache))
if has_cache:
cache_col = max(cache_col, 5) # minimum: "Cache" header
def _label(mid):
if has_pricing:
inp, out, cache = _price_cache.get(mid, ("", "", ""))
price_part = f" {inp:>{price_col}} {out:>{price_col}}"
if has_cache:
price_part += f" {cache:>{cache_col}}"
base = f"{mid:<{name_col}}{price_part}"
else:
base = mid
if mid == current_model:
return f"{mid} ← currently in use"
return mid
base += " ← currently in use"
return base
# Default cursor on the current model (index 0 if it was reordered to top)
default_idx = 0
# Build a pricing header hint for the menu title
menu_title = "Select default model:"
if has_pricing:
# Align the header with the model column.
# Each choice is " {label}" (2 spaces) and simple_term_menu prepends
# a 3-char cursor region ("-> " or " "), so content starts at col 5.
pad = " " * 5
header = f"\n{pad}{'':>{name_col}} {'In':>{price_col}} {'Out':>{price_col}}"
if has_cache:
header += f" {'Cache':>{cache_col}}"
menu_title += header + " /Mtok"
# Try arrow-key menu first, fall back to number input
try:
from simple_term_menu import TerminalMenu
@@ -2176,7 +2364,7 @@ def _prompt_model_selection(model_ids: List[str], current_model: str = "") -> Op
menu_highlight_style=("fg_green",),
cycle_cursor=True,
clear_screen=False,
title="Select default model:",
title=menu_title,
)
idx = menu.show()
if idx is None:
@@ -2192,12 +2380,13 @@ def _prompt_model_selection(model_ids: List[str], current_model: str = "") -> Op
pass
# Fallback: numbered list
print("Select default model:")
print(menu_title)
num_width = len(str(len(ordered) + 2))
for i, mid in enumerate(ordered, 1):
print(f" {i}. {_label(mid)}")
print(f" {i:>{num_width}}. {_label(mid)}")
n = len(ordered)
print(f" {n + 1}. Enter custom model name")
print(f" {n + 2}. Skip (keep current)")
print(f" {n + 1:>{num_width}}. Enter custom model name")
print(f" {n + 2:>{num_width}}. Skip (keep current)")
print()
while True:
@@ -2240,8 +2429,8 @@ def _save_model_choice(model_id: str) -> None:
def login_command(args) -> None:
"""Deprecated: use 'hermes model' or 'hermes setup' instead."""
print("The 'hermes login' command has been removed.")
print("Use 'hermes model' to select a provider and model,")
print("or 'hermes setup' for full interactive setup.")
print("Use 'hermes auth' to manage credentials,")
print("'hermes model' to select a provider, or 'hermes setup' for full setup.")
raise SystemExit(0)
@@ -2251,17 +2440,25 @@ def _login_openai_codex(args, pconfig: ProviderConfig) -> None:
# Check for existing Hermes-owned credentials
try:
existing = resolve_codex_runtime_credentials()
print("Existing Codex credentials found in Hermes auth store.")
try:
reuse = input("Use existing credentials? [Y/n]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
reuse = "y"
if reuse in ("", "y", "yes"):
config_path = _update_config_for_provider("openai-codex", existing.get("base_url", DEFAULT_CODEX_BASE_URL))
print()
print("Login successful!")
print(f" Config updated: {config_path} (model.provider=openai-codex)")
return
# Verify the resolved token is actually usable (not expired).
# resolve_codex_runtime_credentials attempts refresh, so if we get
# here the token should be valid — but double-check before telling
# the user "Login successful!".
_resolved_key = existing.get("api_key", "")
if isinstance(_resolved_key, str) and _resolved_key and not _codex_access_token_is_expiring(_resolved_key, 60):
print("Existing Codex credentials found in Hermes auth store.")
try:
reuse = input("Use existing credentials? [Y/n]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
reuse = "y"
if reuse in ("", "y", "yes"):
config_path = _update_config_for_provider("openai-codex", existing.get("base_url", DEFAULT_CODEX_BASE_URL))
print()
print("Login successful!")
print(f" Config updated: {config_path} (model.provider=openai-codex)")
return
else:
print("Existing Codex credentials are expired. Starting fresh login...")
except AuthError:
pass
@@ -2556,13 +2753,26 @@ def _nous_device_code_login(
"agent_key_reused": None,
"agent_key_obtained_at": None,
}
return refresh_nous_oauth_from_state(
auth_state,
min_key_ttl_seconds=min_key_ttl_seconds,
timeout_seconds=timeout_seconds,
force_refresh=False,
force_mint=True,
)
try:
return refresh_nous_oauth_from_state(
auth_state,
min_key_ttl_seconds=min_key_ttl_seconds,
timeout_seconds=timeout_seconds,
force_refresh=False,
force_mint=True,
)
except AuthError as exc:
if exc.code == "subscription_required":
portal_url = auth_state.get(
"portal_base_url", DEFAULT_NOUS_PORTAL_URL
).rstrip("/")
print()
print("Your Nous Portal account does not have an active subscription.")
print(f" Subscribe here: {portal_url}/billing")
print()
print("After subscribing, run `hermes model` again to finish setup.")
raise SystemExit(1)
raise
def _login_nous(args, pconfig: ProviderConfig) -> None:
@@ -2577,8 +2787,8 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
try:
auth_state = _nous_device_code_login(
portal_base_url=getattr(args, "portal_url", None) or pconfig.portal_base_url,
inference_base_url=getattr(args, "inference_url", None) or pconfig.inference_base_url,
portal_base_url=getattr(args, "portal_url", None),
inference_base_url=getattr(args, "inference_url", None),
client_id=getattr(args, "client_id", None) or pconfig.client_id,
scope=getattr(args, "scope", None) or pconfig.scope,
open_browser=not getattr(args, "no_browser", False),
@@ -2587,6 +2797,7 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
ca_bundle=ca_bundle,
min_key_ttl_seconds=5 * 60,
)
inference_base_url = auth_state["inference_base_url"]
verify: bool | str = False if insecure else (ca_bundle if ca_bundle else True)
@@ -2610,8 +2821,6 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
code="invalid_token",
)
# Use curated model list (same as OpenRouter defaults) instead
# of the full /models dump which returns hundreds of models.
from hermes_cli.models import _PROVIDER_MODELS
model_ids = _PROVIDER_MODELS.get("nous", [])
+68 -19
View File
@@ -20,12 +20,12 @@ from agent.credential_pool import (
STRATEGY_LEAST_USED,
SUPPORTED_POOL_STRATEGIES,
PooledCredential,
_exhausted_until,
_normalize_custom_pool_name,
get_pool_strategy,
label_from_token,
list_custom_pool_providers,
load_pool,
_exhausted_ttl,
)
import hermes_cli.auth as auth_mod
from hermes_cli.auth import PROVIDER_REGISTRY
@@ -113,21 +113,27 @@ def _display_source(source: str) -> str:
def _format_exhausted_status(entry) -> str:
if entry.last_status != STATUS_EXHAUSTED:
return ""
reason = getattr(entry, "last_error_reason", None)
reason_text = f" {reason}" if isinstance(reason, str) and reason.strip() else ""
code = f" ({entry.last_error_code})" if entry.last_error_code else ""
if not entry.last_status_at:
return f" exhausted{code}"
remaining = max(0, int(math.ceil((entry.last_status_at + _exhausted_ttl(entry.last_error_code)) - time.time())))
exhausted_until = _exhausted_until(entry)
if exhausted_until is None:
return f" exhausted{reason_text}{code}"
remaining = max(0, int(math.ceil(exhausted_until - time.time())))
if remaining <= 0:
return f" exhausted{code} (ready to retry)"
return f" exhausted{reason_text}{code} (ready to retry)"
minutes, seconds = divmod(remaining, 60)
hours, minutes = divmod(minutes, 60)
if hours:
days, hours = divmod(hours, 24)
if days:
wait = f"{days}d {hours}h"
elif hours:
wait = f"{hours}h {minutes}m"
elif minutes:
wait = f"{minutes}m {seconds}s"
else:
wait = f"{seconds}s"
return f" exhausted{code} ({wait} left)"
return f" exhausted{reason_text}{code} ({wait} left)"
def auth_add_command(args) -> None:
@@ -277,13 +283,54 @@ def auth_list_command(args) -> None:
def auth_remove_command(args) -> None:
provider = _normalize_provider(getattr(args, "provider", ""))
index = int(getattr(args, "index"))
target = getattr(args, "target", None)
if target is None:
target = getattr(args, "index", None)
pool = load_pool(provider)
index, matched, error = pool.resolve_target(target)
if matched is None or index is None:
raise SystemExit(f"{error} Provider: {provider}.")
removed = pool.remove_index(index)
if removed is None:
raise SystemExit(f"No credential #{index} for provider {provider}.")
raise SystemExit(f'No credential matching "{target}" for provider {provider}.')
print(f"Removed {provider} credential #{index} ({removed.label})")
# If this was an env-seeded credential, also clear the env var from .env
# so it doesn't get re-seeded on the next load_pool() call.
if removed.source.startswith("env:"):
env_var = removed.source[len("env:"):]
if env_var:
from hermes_cli.config import remove_env_value
cleared = remove_env_value(env_var)
if cleared:
print(f"Cleared {env_var} from .env")
# If this was a singleton-seeded credential (OAuth device_code, hermes_pkce),
# clear the underlying auth store / credential file so it doesn't get
# re-seeded on the next load_pool() call.
elif removed.source == "device_code" and provider in ("openai-codex", "nous"):
from hermes_cli.auth import (
_load_auth_store, _save_auth_store, _auth_store_lock,
)
with _auth_store_lock():
auth_store = _load_auth_store()
providers_dict = auth_store.get("providers")
if isinstance(providers_dict, dict) and provider in providers_dict:
del providers_dict[provider]
_save_auth_store(auth_store)
print(f"Cleared {provider} OAuth tokens from auth store")
elif removed.source == "hermes_pkce" and provider == "anthropic":
from hermes_constants import get_hermes_home
oauth_file = get_hermes_home() / ".anthropic_oauth.json"
if oauth_file.exists():
oauth_file.unlink()
print("Cleared Hermes Anthropic OAuth credentials")
elif removed.source == "claude_code" and provider == "anthropic":
print("Note: Claude Code credentials live in ~/.claude/.credentials.json")
print(" Remove them manually if you want to deauthorize Claude Code.")
def auth_reset_command(args) -> None:
provider = _normalize_provider(getattr(args, "provider", ""))
@@ -369,8 +416,16 @@ def _interactive_add() -> None:
else:
auth_type = "api_key"
label = None
try:
typed_label = input("Label / account name (optional): ").strip()
except (EOFError, KeyboardInterrupt):
return
if typed_label:
label = typed_label
auth_add_command(SimpleNamespace(
provider=provider, auth_type=auth_type, label=None, api_key=None,
provider=provider, auth_type=auth_type, label=label, api_key=None,
portal_url=None, inference_url=None, client_id=None, scope=None,
no_browser=False, timeout=None, insecure=False, ca_bundle=None,
))
@@ -386,22 +441,16 @@ def _interactive_remove() -> None:
# Show entries with indices
for i, e in enumerate(pool.entries(), 1):
exhausted = _format_exhausted_status(e)
print(f" #{i} {e.label:25s} {e.auth_type:10s} {e.source}{exhausted}")
print(f" #{i} {e.label:25s} {e.auth_type:10s} {e.source}{exhausted} [id:{e.id}]")
try:
raw = input("Remove # (or blank to cancel): ").strip()
raw = input("Remove #, id, or label (blank to cancel): ").strip()
except (EOFError, KeyboardInterrupt):
return
if not raw:
return
try:
index = int(raw)
except ValueError:
print("Invalid number.")
return
auth_remove_command(SimpleNamespace(provider=provider, index=index))
auth_remove_command(SimpleNamespace(provider=provider, target=raw))
def _interactive_reset() -> None:
+235 -76
View File
@@ -84,6 +84,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
# Configuration
CommandDef("config", "Show current configuration", "Configuration",
cli_only=True),
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--global]"),
CommandDef("provider", "Show available providers and current provider",
"Configuration"),
CommandDef("prompt", "View/set custom system prompt", "Configuration",
@@ -365,21 +366,46 @@ def telegram_bot_commands() -> list[tuple[str, str]]:
for cmd in COMMAND_REGISTRY:
if not _is_gateway_available(cmd, overrides):
continue
tg_name = cmd.name.replace("-", "_")
result.append((tg_name, cmd.description))
tg_name = _sanitize_telegram_name(cmd.name)
if tg_name:
result.append((tg_name, cmd.description))
return result
_TG_NAME_LIMIT = 32
_CMD_NAME_LIMIT = 32
"""Max command name length shared by Telegram and Discord."""
# Backward-compat alias — tests and external code may reference the old name.
_TG_NAME_LIMIT = _CMD_NAME_LIMIT
# Telegram Bot API allows only lowercase a-z, 0-9, and underscores in
# command names. This regex strips everything else after initial conversion.
_TG_INVALID_CHARS = re.compile(r"[^a-z0-9_]")
_TG_MULTI_UNDERSCORE = re.compile(r"_{2,}")
def _clamp_telegram_names(
def _sanitize_telegram_name(raw: str) -> str:
"""Convert a command/skill/plugin name to a valid Telegram command name.
Telegram requires: 1-32 chars, lowercase a-z, digits 0-9, underscores only.
Steps: lowercase replace hyphens with underscores strip all other
invalid characters collapse consecutive underscores strip leading/
trailing underscores.
"""
name = raw.lower().replace("-", "_")
name = _TG_INVALID_CHARS.sub("", name)
name = _TG_MULTI_UNDERSCORE.sub("_", name)
return name.strip("_")
def _clamp_command_names(
entries: list[tuple[str, str]],
reserved: set[str],
) -> list[tuple[str, str]]:
"""Enforce Telegram's 32-char command name limit with collision avoidance.
"""Enforce 32-char command name limit with collision avoidance.
Names exceeding 32 chars are truncated. If truncation creates a duplicate
Both Telegram and Discord cap slash command names at 32 characters.
Names exceeding the limit are truncated. If truncation creates a duplicate
(against *reserved* names or earlier entries in the same batch), the name is
shortened to 31 chars and a digit ``0``-``9`` is appended to differentiate.
If all 10 digit slots are taken the entry is silently dropped.
@@ -387,10 +413,10 @@ def _clamp_telegram_names(
used: set[str] = set(reserved)
result: list[tuple[str, str]] = []
for name, desc in entries:
if len(name) > _TG_NAME_LIMIT:
candidate = name[:_TG_NAME_LIMIT]
if len(name) > _CMD_NAME_LIMIT:
candidate = name[:_CMD_NAME_LIMIT]
if candidate in used:
prefix = name[:_TG_NAME_LIMIT - 1]
prefix = name[:_CMD_NAME_LIMIT - 1]
for digit in range(10):
candidate = f"{prefix}{digit}"
if candidate not in used:
@@ -406,6 +432,129 @@ def _clamp_telegram_names(
return result
# Backward-compat alias.
_clamp_telegram_names = _clamp_command_names
# ---------------------------------------------------------------------------
# Shared skill/plugin collection for gateway platforms
# ---------------------------------------------------------------------------
def _collect_gateway_skill_entries(
platform: str,
max_slots: int,
reserved_names: set[str],
desc_limit: int = 100,
sanitize_name: "Callable[[str], str] | None" = None,
) -> tuple[list[tuple[str, str, str]], int]:
"""Collect plugin + skill entries for a gateway platform.
Priority order:
1. Plugin slash commands (take precedence over skills)
2. Built-in skill commands (fill remaining slots, alphabetical)
Only skills are trimmed when the cap is reached.
Hub-installed skills are excluded. Per-platform disabled skills are
excluded.
Args:
platform: Platform identifier for per-platform skill filtering
(``"telegram"``, ``"discord"``, etc.).
max_slots: Maximum number of entries to return (remaining slots after
built-in/core commands).
reserved_names: Names already taken by built-in commands. Mutated
in-place as new names are added.
desc_limit: Max description length (40 for Telegram, 100 for Discord).
sanitize_name: Optional name transform applied before clamping, e.g.
:func:`_sanitize_telegram_name` for Telegram. May return an
empty string to signal "skip this entry".
Returns:
``(entries, hidden_count)`` where *entries* is a list of
``(name, description, cmd_key)`` triples and *hidden_count* is the
number of skill entries dropped due to the cap. ``cmd_key`` is the
original ``/skill-name`` key from :func:`get_skill_commands`.
"""
all_entries: list[tuple[str, str, str]] = []
# --- Tier 1: Plugin slash commands (never trimmed) ---------------------
plugin_pairs: list[tuple[str, str]] = []
try:
from hermes_cli.plugins import get_plugin_manager
pm = get_plugin_manager()
plugin_cmds = getattr(pm, "_plugin_commands", {})
for cmd_name in sorted(plugin_cmds):
name = sanitize_name(cmd_name) if sanitize_name else cmd_name
if not name:
continue
desc = "Plugin command"
if len(desc) > desc_limit:
desc = desc[:desc_limit - 3] + "..."
plugin_pairs.append((name, desc))
except Exception:
pass
plugin_pairs = _clamp_command_names(plugin_pairs, reserved_names)
reserved_names.update(n for n, _ in plugin_pairs)
# Plugins have no cmd_key — use empty string as placeholder
for n, d in plugin_pairs:
all_entries.append((n, d, ""))
# --- Tier 2: Built-in skill commands (trimmed at cap) -----------------
_platform_disabled: set[str] = set()
try:
from agent.skill_utils import get_disabled_skill_names
_platform_disabled = get_disabled_skill_names(platform=platform)
except Exception:
pass
skill_triples: list[tuple[str, str, str]] = []
try:
from agent.skill_commands import get_skill_commands
from tools.skills_tool import SKILLS_DIR
_skills_dir = str(SKILLS_DIR.resolve())
_hub_dir = str((SKILLS_DIR / ".hub").resolve())
skill_cmds = get_skill_commands()
for cmd_key in sorted(skill_cmds):
info = skill_cmds[cmd_key]
skill_path = info.get("skill_md_path", "")
if not skill_path.startswith(_skills_dir):
continue
if skill_path.startswith(_hub_dir):
continue
skill_name = info.get("name", "")
if skill_name in _platform_disabled:
continue
raw_name = cmd_key.lstrip("/")
name = sanitize_name(raw_name) if sanitize_name else raw_name
if not name:
continue
desc = info.get("description", "")
if len(desc) > desc_limit:
desc = desc[:desc_limit - 3] + "..."
skill_triples.append((name, desc, cmd_key))
except Exception:
pass
# Clamp names; _clamp_command_names works on (name, desc) pairs so we
# need to zip/unzip.
skill_pairs = [(n, d) for n, d, _ in skill_triples]
key_by_pair = {(n, d): k for n, d, k in skill_triples}
skill_pairs = _clamp_command_names(skill_pairs, reserved_names)
# Skills fill remaining slots — only tier that gets trimmed
remaining = max(0, max_slots - len(all_entries))
hidden_count = max(0, len(skill_pairs) - remaining)
for n, d in skill_pairs[:remaining]:
all_entries.append((n, d, key_by_pair.get((n, d), "")))
return all_entries[:max_slots], hidden_count
# ---------------------------------------------------------------------------
# Platform-specific wrappers
# ---------------------------------------------------------------------------
def telegram_menu_commands(max_commands: int = 100) -> tuple[list[tuple[str, str]], int]:
"""Return Telegram menu commands capped to the Bot API limit.
@@ -424,80 +573,52 @@ def telegram_menu_commands(max_commands: int = 100) -> tuple[list[tuple[str, str
skill commands omitted due to the cap.
"""
core_commands = list(telegram_bot_commands())
# Reserve core names so plugin/skill truncation can't collide with them
reserved_names = {n for n, _ in core_commands}
all_commands = list(core_commands)
# Plugin slash commands get priority over skills
plugin_entries: list[tuple[str, str]] = []
try:
from hermes_cli.plugins import get_plugin_manager
pm = get_plugin_manager()
plugin_cmds = getattr(pm, "_plugin_commands", {})
for cmd_name in sorted(plugin_cmds):
tg_name = cmd_name.replace("-", "_")
desc = "Plugin command"
if len(desc) > 40:
desc = desc[:37] + "..."
plugin_entries.append((tg_name, desc))
except Exception:
pass
# Clamp plugin names to 32 chars with collision avoidance
plugin_entries = _clamp_telegram_names(plugin_entries, reserved_names)
reserved_names.update(n for n, _ in plugin_entries)
all_commands.extend(plugin_entries)
# Load per-platform disabled skills so they don't consume menu slots.
# get_skill_commands() already filters the *global* disabled list, but
# per-platform overrides (skills.platform_disabled.telegram) were never
# applied here — that's what this block fixes.
_platform_disabled: set[str] = set()
try:
from agent.skill_utils import get_disabled_skill_names
_platform_disabled = get_disabled_skill_names(platform="telegram")
except Exception:
pass
# Remaining slots go to built-in skill commands (not hub-installed).
skill_entries: list[tuple[str, str]] = []
try:
from agent.skill_commands import get_skill_commands
from tools.skills_tool import SKILLS_DIR
_skills_dir = str(SKILLS_DIR.resolve())
_hub_dir = str((SKILLS_DIR / ".hub").resolve())
skill_cmds = get_skill_commands()
for cmd_key in sorted(skill_cmds):
info = skill_cmds[cmd_key]
skill_path = info.get("skill_md_path", "")
if not skill_path.startswith(_skills_dir):
continue
if skill_path.startswith(_hub_dir):
continue
# Skip skills disabled for telegram
skill_name = info.get("name", "")
if skill_name in _platform_disabled:
continue
name = cmd_key.lstrip("/").replace("-", "_")
desc = info.get("description", "")
# Keep descriptions short — setMyCommands has an undocumented
# total payload limit. 40 chars fits 100 commands safely.
if len(desc) > 40:
desc = desc[:37] + "..."
skill_entries.append((name, desc))
except Exception:
pass
# Clamp skill names to 32 chars with collision avoidance
skill_entries = _clamp_telegram_names(skill_entries, reserved_names)
# Skills fill remaining slots — they're the only tier that gets trimmed
remaining_slots = max(0, max_commands - len(all_commands))
hidden_count = max(0, len(skill_entries) - remaining_slots)
all_commands.extend(skill_entries[:remaining_slots])
entries, hidden_count = _collect_gateway_skill_entries(
platform="telegram",
max_slots=remaining_slots,
reserved_names=reserved_names,
desc_limit=40,
sanitize_name=_sanitize_telegram_name,
)
# Drop the cmd_key — Telegram only needs (name, desc) pairs.
all_commands.extend((n, d) for n, d, _k in entries)
return all_commands[:max_commands], hidden_count
def discord_skill_commands(
max_slots: int,
reserved_names: set[str],
) -> tuple[list[tuple[str, str, str]], int]:
"""Return skill entries for Discord slash command registration.
Same priority and filtering logic as :func:`telegram_menu_commands`
(plugins > skills, hub excluded, per-platform disabled excluded), but
adapted for Discord's constraints:
- Hyphens are allowed in names (no ``-`` ``_`` sanitization)
- Descriptions capped at 100 chars (Discord's per-field max)
Args:
max_slots: Available command slots (100 minus existing built-in count).
reserved_names: Names of already-registered built-in commands.
Returns:
``(entries, hidden_count)`` where *entries* is a list of
``(discord_name, description, cmd_key)`` triples. ``cmd_key`` is
the original ``/skill-name`` key needed for the slash handler callback.
"""
return _collect_gateway_skill_entries(
platform="discord",
max_slots=max_slots,
reserved_names=set(reserved_names), # copy — don't mutate caller's set
desc_limit=100,
)
def slack_subcommand_map() -> dict[str, str]:
"""Return subcommand -> /command mapping for Slack /hermes handler.
@@ -744,6 +865,39 @@ class SlashCommandCompleter(Completer):
)
count += 1
def _model_completions(self, sub_text: str, sub_lower: str):
"""Yield completions for /model from config aliases + built-in aliases."""
seen = set()
# Config-based direct aliases (preferred — include provider info)
try:
from hermes_cli.model_switch import (
_ensure_direct_aliases, DIRECT_ALIASES, MODEL_ALIASES,
)
_ensure_direct_aliases()
for name, da in DIRECT_ALIASES.items():
if name.startswith(sub_lower) and name != sub_lower:
seen.add(name)
yield Completion(
name,
start_position=-len(sub_text),
display=name,
display_meta=f"{da.model} ({da.provider})",
)
# Built-in catalog aliases not already covered
for name in sorted(MODEL_ALIASES.keys()):
if name in seen:
continue
if name.startswith(sub_lower) and name != sub_lower:
identity = MODEL_ALIASES[name]
yield Completion(
name,
start_position=-len(sub_text),
display=name,
display_meta=f"{identity.vendor}/{identity.family}",
)
except Exception:
pass
def get_completions(self, document, complete_event):
text = document.text_before_cursor
if not text.startswith("/"):
@@ -765,6 +919,11 @@ class SlashCommandCompleter(Completer):
sub_text = parts[1] if len(parts) > 1 else ""
sub_lower = sub_text.lower()
# Dynamic model alias completions for /model
if " " not in sub_text and base_cmd == "/model":
yield from self._model_completions(sub_text, sub_lower)
return
# Static subcommand completions
if " " not in sub_text and base_cmd in SUBCOMMANDS:
for sub in SUBCOMMANDS[base_cmd]:
+443 -8
View File
@@ -19,6 +19,7 @@ import stat
import subprocess
import sys
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Any, Optional, List, Tuple
@@ -41,7 +42,7 @@ _EXTRA_ENV_KEYS = frozenset({
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_HOME_ROOM",
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_DEVICE_ID", "MATRIX_HOME_ROOM",
"MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD",
})
import yaml
@@ -199,11 +200,17 @@ def ensure_hermes_home():
DEFAULT_CONFIG = {
"model": "",
"providers": {},
"fallback_providers": [],
"credential_pool_strategies": {},
"toolsets": ["hermes-cli"],
"agent": {
"max_turns": 90,
# Inactivity timeout for gateway agent execution (seconds).
# The agent can run indefinitely as long as it's actively calling
# tools or receiving API responses. Only fires when the agent has
# been completely idle for this duration. 0 = unlimited.
"gateway_timeout": 1800,
# Tool-use enforcement: injects system prompt guidance that tells the
# model to actually call tools instead of describing intended actions.
# Values: "auto" (default — applies to gpt/codex models), true/false
@@ -314,7 +321,7 @@ DEFAULT_CONFIG = {
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30, # seconds increase for slow local models
"timeout": 360, # seconds (6min) — per-attempt LLM summarization timeout; increase for slow local models
},
"compression": {
"provider": "auto",
@@ -530,8 +537,16 @@ DEFAULT_CONFIG = {
"wrap_response": True,
},
# Logging — controls file logging to ~/.hermes/logs/.
# agent.log captures INFO+ (all agent activity); errors.log captures WARNING+.
"logging": {
"level": "INFO", # Minimum level for agent.log: DEBUG, INFO, WARNING
"max_size_mb": 5, # Max size per log file before rotation
"backup_count": 3, # Number of rotated backup files to keep
},
# Config schema version - bump this when adding new required fields
"_config_version": 11,
"_config_version": 12,
}
# =============================================================================
@@ -575,6 +590,30 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"GOOGLE_API_KEY": {
"description": "Google AI Studio API key (also recognized as GEMINI_API_KEY)",
"prompt": "Google AI Studio API key",
"url": "https://aistudio.google.com/app/apikey",
"password": True,
"category": "provider",
"advanced": True,
},
"GEMINI_API_KEY": {
"description": "Google AI Studio API key (alias for GOOGLE_API_KEY)",
"prompt": "Gemini API key",
"url": "https://aistudio.google.com/app/apikey",
"password": True,
"category": "provider",
"advanced": True,
},
"GEMINI_BASE_URL": {
"description": "Google AI Studio base URL override",
"prompt": "Gemini 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",
@@ -829,6 +868,13 @@ OPTIONAL_ENV_VARS = {
"password": True,
"category": "tool",
},
"FIRECRAWL_BROWSER_TTL": {
"description": "Firecrawl browser session TTL in seconds (optional, default 300)",
"prompt": "Browser session TTL (seconds)",
"tools": ["browser_navigate", "browser_click"],
"password": False,
"category": "tool",
},
"CAMOFOX_URL": {
"description": "Camofox browser server URL for local anti-detection browsing (e.g. http://localhost:9377)",
"prompt": "Camofox server URL",
@@ -1033,6 +1079,14 @@ OPTIONAL_ENV_VARS = {
"category": "messaging",
"advanced": True,
},
"MATRIX_DEVICE_ID": {
"description": "Stable Matrix device ID for E2EE persistence across restarts (e.g. HERMES_BOT)",
"prompt": "Matrix device ID (stable across restarts)",
"url": None,
"password": False,
"category": "messaging",
"advanced": True,
},
"GATEWAY_ALLOW_ALL_USERS": {
"description": "Allow all users to interact with messaging bots (true/false). Default: false.",
"prompt": "Allow all users (true/false)",
@@ -1225,6 +1279,43 @@ def get_missing_config_fields() -> List[Dict[str, Any]]:
return missing
def get_missing_skill_config_vars() -> List[Dict[str, Any]]:
"""Return skill-declared config vars that are missing or empty in config.yaml.
Scans all enabled skills for ``metadata.hermes.config`` entries, then checks
which ones are absent or empty under ``skills.config.<key>`` in the user's
config.yaml. Returns a list of dicts suitable for prompting.
"""
try:
from agent.skill_utils import discover_all_skill_config_vars, SKILL_CONFIG_PREFIX
except Exception:
return []
all_vars = discover_all_skill_config_vars()
if not all_vars:
return []
config = load_config()
missing: List[Dict[str, Any]] = []
for var in all_vars:
# Skill config is stored under skills.config.<logical_key>
storage_key = f"{SKILL_CONFIG_PREFIX}.{var['key']}"
parts = storage_key.split(".")
current = config
value = None
for part in parts:
if isinstance(current, dict) and part in current:
current = current[part]
value = current
else:
value = None
break
# Missing = key doesn't exist or is empty string
if value is None or (isinstance(value, str) and not value.strip()):
missing.append(var)
return missing
def check_config_version() -> Tuple[int, int]:
"""
Check config version.
@@ -1237,6 +1328,182 @@ def check_config_version() -> Tuple[int, int]:
return current, latest
# =============================================================================
# Config structure validation
# =============================================================================
# Fields that are valid at root level of config.yaml
_KNOWN_ROOT_KEYS = {
"_config_version", "model", "providers", "fallback_model",
"fallback_providers", "credential_pool_strategies", "toolsets",
"agent", "terminal", "display", "compression", "delegation",
"auxiliary", "custom_providers", "memory", "gateway",
}
# Valid fields inside a custom_providers list entry
_VALID_CUSTOM_PROVIDER_FIELDS = {
"name", "base_url", "api_key", "api_mode", "models",
"context_length", "rate_limit_delay",
}
# Fields that look like they should be inside custom_providers, not at root
_CUSTOM_PROVIDER_LIKE_FIELDS = {"base_url", "api_key", "rate_limit_delay", "api_mode"}
@dataclass
class ConfigIssue:
"""A detected config structure problem."""
severity: str # "error", "warning"
message: str
hint: str
def validate_config_structure(config: Optional[Dict[str, Any]] = None) -> List["ConfigIssue"]:
"""Validate config.yaml structure and return a list of detected issues.
Catches common YAML formatting mistakes that produce confusing runtime
errors (like "Unknown provider") instead of clear diagnostics.
Can be called with a pre-loaded config dict, or will load from disk.
"""
if config is None:
try:
config = load_config()
except Exception:
return [ConfigIssue("error", "Could not load config.yaml", "Run 'hermes setup' to create a valid config")]
issues: List[ConfigIssue] = []
# ── custom_providers must be a list, not a dict ──────────────────────
cp = config.get("custom_providers")
if cp is not None:
if isinstance(cp, dict):
issues.append(ConfigIssue(
"error",
"custom_providers is a dict — it must be a YAML list (items prefixed with '-')",
"Change to:\n"
" custom_providers:\n"
" - name: my-provider\n"
" base_url: https://...\n"
" api_key: ...",
))
# Check if dict keys look like they should be list-entry fields
cp_keys = set(cp.keys()) if isinstance(cp, dict) else set()
suspicious = cp_keys & _CUSTOM_PROVIDER_LIKE_FIELDS
if suspicious:
issues.append(ConfigIssue(
"warning",
f"Root-level keys {sorted(suspicious)} look like custom_providers entry fields",
"These should be indented under a '- name: ...' list entry, not at root level",
))
elif isinstance(cp, list):
# Validate each entry in the list
for i, entry in enumerate(cp):
if not isinstance(entry, dict):
issues.append(ConfigIssue(
"warning",
f"custom_providers[{i}] is not a dict (got {type(entry).__name__})",
"Each entry should have at minimum: name, base_url",
))
continue
if not entry.get("name"):
issues.append(ConfigIssue(
"warning",
f"custom_providers[{i}] is missing 'name' field",
"Add a name, e.g.: name: my-provider",
))
if not entry.get("base_url"):
issues.append(ConfigIssue(
"warning",
f"custom_providers[{i}] is missing 'base_url' field",
"Add the API endpoint URL, e.g.: base_url: https://api.example.com/v1",
))
# ── fallback_model must be a top-level dict with provider + model ────
fb = config.get("fallback_model")
if fb is not None:
if not isinstance(fb, dict):
issues.append(ConfigIssue(
"error",
f"fallback_model should be a dict with 'provider' and 'model', got {type(fb).__name__}",
"Change to:\n"
" fallback_model:\n"
" provider: openrouter\n"
" model: anthropic/claude-sonnet-4",
))
elif fb:
if not fb.get("provider"):
issues.append(ConfigIssue(
"warning",
"fallback_model is missing 'provider' field — fallback will be disabled",
"Add: provider: openrouter (or another provider)",
))
if not fb.get("model"):
issues.append(ConfigIssue(
"warning",
"fallback_model is missing 'model' field — fallback will be disabled",
"Add: model: anthropic/claude-sonnet-4 (or another model)",
))
# ── Check for fallback_model accidentally nested inside custom_providers ──
if isinstance(cp, dict) and "fallback_model" not in config and "fallback_model" in (cp or {}):
issues.append(ConfigIssue(
"error",
"fallback_model appears inside custom_providers instead of at root level",
"Move fallback_model to the top level of config.yaml (no indentation)",
))
# ── model section: should exist when custom_providers is configured ──
model_cfg = config.get("model")
if cp and not model_cfg:
issues.append(ConfigIssue(
"warning",
"custom_providers defined but no 'model' section — Hermes won't know which provider to use",
"Add a model section:\n"
" model:\n"
" provider: custom\n"
" default: your-model-name\n"
" base_url: https://...",
))
# ── Root-level keys that look misplaced ──────────────────────────────
for key in config:
if key.startswith("_"):
continue
if key not in _KNOWN_ROOT_KEYS and key in _CUSTOM_PROVIDER_LIKE_FIELDS:
issues.append(ConfigIssue(
"warning",
f"Root-level key '{key}' looks misplaced — should it be under 'model:' or inside a 'custom_providers' entry?",
f"Move '{key}' under the appropriate section",
))
return issues
def print_config_warnings(config: Optional[Dict[str, Any]] = None) -> None:
"""Print config structure warnings to stderr at startup.
Called early in CLI and gateway init so users see problems before
they hit cryptic "Unknown provider" errors. Prints nothing if
config is healthy.
"""
try:
issues = validate_config_structure(config)
except Exception:
return
if not issues:
return
import sys
lines = ["\033[33m⚠ Config issues detected in config.yaml:\033[0m"]
for ci in issues:
marker = "\033[31m✗\033[0m" if ci.severity == "error" else "\033[33m⚠\033[0m"
lines.append(f" {marker} {ci.message}")
lines.append(" \033[2mRun 'hermes doctor' for fix suggestions.\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.
@@ -1312,6 +1579,69 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
except Exception:
pass
# ── Version 11 → 12: migrate custom_providers list → providers dict ──
if current_ver < 12:
config = load_config()
custom_list = config.get("custom_providers")
if isinstance(custom_list, list) and custom_list:
providers_dict = config.get("providers", {})
if not isinstance(providers_dict, dict):
providers_dict = {}
migrated_count = 0
for entry in custom_list:
if not isinstance(entry, dict):
continue
old_name = entry.get("name", "")
old_url = entry.get("base_url", "") or entry.get("url", "") or ""
old_key = entry.get("api_key", "")
if not old_url:
continue # skip entries with no URL
# Generate a kebab-case key from the display name
key = old_name.strip().lower().replace(" ", "-").replace("(", "").replace(")", "")
# Remove consecutive hyphens and trailing hyphens
while "--" in key:
key = key.replace("--", "-")
key = key.strip("-")
if not key:
# Fallback: derive from URL hostname
try:
from urllib.parse import urlparse
parsed = urlparse(old_url)
key = (parsed.hostname or "endpoint").replace(".", "-")
except Exception:
key = f"endpoint-{migrated_count}"
# Don't overwrite existing entries
if key in providers_dict:
key = f"{key}-{migrated_count}"
new_entry = {"api": old_url}
if old_name:
new_entry["name"] = old_name
if old_key and old_key not in ("no-key", "no-key-required", ""):
new_entry["api_key"] = old_key
# Carry over model and api_mode if present
if entry.get("model"):
new_entry["default_model"] = entry["model"]
if entry.get("api_mode"):
new_entry["transport"] = entry["api_mode"]
providers_dict[key] = new_entry
migrated_count += 1
if migrated_count > 0:
config["providers"] = providers_dict
# Remove the old list
del config["custom_providers"]
save_config(config)
if not quiet:
print(f" ✓ Migrated {migrated_count} custom provider(s) to providers: section")
for key in list(providers_dict.keys())[-migrated_count:]:
ep = providers_dict[key]
print(f"{key}: {ep.get('api', '')}")
if current_ver < latest_ver and not quiet:
print(f"Config version: {current_ver}{latest_ver}")
@@ -1417,7 +1747,50 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
config = load_config()
config["_config_version"] = latest_ver
save_config(config)
# ── Skill-declared config vars ──────────────────────────────────────
# Skills can declare config.yaml settings they need via
# metadata.hermes.config in their SKILL.md frontmatter.
# Prompt for any that are missing/empty.
missing_skill_config = get_missing_skill_config_vars()
if missing_skill_config and interactive and not quiet:
print(f"\n {len(missing_skill_config)} skill setting(s) not configured:")
for var in missing_skill_config:
skill_name = var.get("skill", "unknown")
print(f"{var['key']}{var['description']} (from skill: {skill_name})")
print()
try:
answer = input(" Configure skill settings? [y/N]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
answer = "n"
if answer in ("y", "yes"):
print()
config = load_config()
try:
from agent.skill_utils import SKILL_CONFIG_PREFIX
except Exception:
SKILL_CONFIG_PREFIX = "skills.config"
for var in missing_skill_config:
default = var.get("default", "")
default_hint = f" (default: {default})" if default else ""
value = input(f" {var['prompt']}{default_hint}: ").strip()
if not value and default:
value = str(default)
if value:
storage_key = f"{SKILL_CONFIG_PREFIX}.{var['key']}"
_set_nested(config, storage_key, value)
results["config_added"].append(var["key"])
print(f" ✓ Saved {var['key']} = {value}")
else:
results["warnings"].append(
f"Skipped {var['key']} — skill '{var.get('skill', '?')}' may ask for it later"
)
print()
save_config(config)
else:
print(" Set later with: hermes config set <key> <value>")
return results
@@ -1559,8 +1932,8 @@ _FALLBACK_COMMENT = """
#
# Supported providers:
# openrouter (OPENROUTER_API_KEY) — routes to any model
# openai-codex (OAuth — hermes login) — OpenAI Codex
# nous (OAuth — hermes login) — Nous Portal
# openai-codex (OAuth — hermes auth) — OpenAI Codex
# nous (OAuth — hermes auth) — Nous Portal
# zai (ZAI_API_KEY) — Z.AI / GLM
# kimi-coding (KIMI_API_KEY) — Kimi / Moonshot
# minimax (MINIMAX_API_KEY) — MiniMax
@@ -1602,8 +1975,8 @@ _COMMENTED_SECTIONS = """
#
# Supported providers:
# openrouter (OPENROUTER_API_KEY) — routes to any model
# openai-codex (OAuth — hermes login) — OpenAI Codex
# nous (OAuth — hermes login) — Nous Portal
# openai-codex (OAuth — hermes auth) — OpenAI Codex
# nous (OAuth — hermes auth) — Nous Portal
# zai (ZAI_API_KEY) — Z.AI / GLM
# kimi-coding (KIMI_API_KEY) — Kimi / Moonshot
# minimax (MINIMAX_API_KEY) — MiniMax
@@ -1836,6 +2209,51 @@ def save_env_value(key: str, value: str):
pass
def remove_env_value(key: str) -> bool:
"""Remove a key from ~/.hermes/.env and os.environ.
Returns True if the key was found and removed, False otherwise.
"""
if is_managed():
managed_error(f"remove {key}")
return False
if not _ENV_VAR_NAME_RE.match(key):
raise ValueError(f"Invalid environment variable name: {key!r}")
env_path = get_env_path()
if not env_path.exists():
os.environ.pop(key, None)
return False
read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
write_kw = {"encoding": "utf-8"} if _IS_WINDOWS else {}
with open(env_path, **read_kw) as f:
lines = f.readlines()
lines = _sanitize_env_lines(lines)
new_lines = [line for line in lines if not line.strip().startswith(f"{key}=")]
found = len(new_lines) < len(lines)
if found:
fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix='.tmp', prefix='.env_')
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)
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
_secure_file(env_path)
os.environ.pop(key, None)
return found
def save_anthropic_oauth_token(value: str, save_fn=None):
"""Persist an Anthropic OAuth/setup token and clear the API-key slot."""
writer = save_fn or save_env_value
@@ -2026,6 +2444,23 @@ def show_config():
print(f" Telegram: {'configured' if telegram_token else color('not configured', Colors.DIM)}")
print(f" Discord: {'configured' if discord_token else color('not configured', Colors.DIM)}")
# Skill config
try:
from agent.skill_utils import discover_all_skill_config_vars, resolve_skill_config_values
skill_vars = discover_all_skill_config_vars()
if skill_vars:
resolved = resolve_skill_config_values(skill_vars)
print()
print(color("◆ Skill Settings", Colors.CYAN, Colors.BOLD))
for var in skill_vars:
key = var["key"]
value = resolved.get(key, "")
skill_name = var.get("skill", "")
display_val = str(value) if value else color("(not set)", Colors.DIM)
print(f" {key:<20s} {display_val} {color(f'[{skill_name}]', Colors.DIM)}")
except Exception:
pass
print()
print(color("" * 60, Colors.DIM))
print(color(" hermes config edit # Edit config file", Colors.DIM))
+20 -1
View File
@@ -318,6 +318,25 @@ def run_doctor(args):
except Exception:
pass
# Validate config structure (catches malformed custom_providers, etc.)
try:
from hermes_cli.config import validate_config_structure
config_issues = validate_config_structure()
if config_issues:
print()
print(color("◆ Config Structure", Colors.CYAN, Colors.BOLD))
for ci in config_issues:
if ci.severity == "error":
check_fail(ci.message)
else:
check_warn(ci.message)
# Show the hint indented
for hint_line in ci.hint.splitlines():
check_info(hint_line)
issues.append(ci.message)
except Exception:
pass
# =========================================================================
# Check: Auth providers
# =========================================================================
@@ -817,7 +836,7 @@ def run_doctor(args):
get_honcho_client(hcfg)
check_ok(
"Honcho connected",
f"workspace={hcfg.workspace_id} mode={hcfg.memory_mode} freq={hcfg.write_frequency}",
f"workspace={hcfg.workspace_id} mode={hcfg.recall_mode} freq={hcfg.write_frequency}",
)
except Exception as _e:
check_fail("Honcho connection failed", str(_e))
+179 -68
View File
@@ -28,9 +28,78 @@ from hermes_cli.colors import Colors, color
# Process Management (for manual gateway runs)
# =============================================================================
def find_gateway_pids() -> list:
"""Find PIDs of running gateway processes."""
def _get_service_pids() -> set:
"""Return PIDs currently managed by systemd or launchd gateway services.
Used to avoid killing freshly-restarted service processes when sweeping
for stale manual gateway processes after a service restart. Relies on the
service manager having committed the new PID before the restart command
returns (true for both systemd and launchd in practice).
"""
pids: set = set()
# --- systemd (Linux): user and system scopes ---
if is_linux():
for scope_args in [["systemctl", "--user"], ["systemctl"]]:
try:
result = subprocess.run(
scope_args + ["list-units", "hermes-gateway*",
"--plain", "--no-legend", "--no-pager"],
capture_output=True, text=True, timeout=5,
)
for line in result.stdout.strip().splitlines():
parts = line.split()
if not parts or not parts[0].endswith(".service"):
continue
svc = parts[0]
try:
show = subprocess.run(
scope_args + ["show", svc,
"--property=MainPID", "--value"],
capture_output=True, text=True, timeout=5,
)
pid = int(show.stdout.strip())
if pid > 0:
pids.add(pid)
except (ValueError, subprocess.TimeoutExpired):
pass
except (FileNotFoundError, subprocess.TimeoutExpired):
pass
# --- launchd (macOS) ---
if is_macos():
try:
label = get_launchd_label()
result = subprocess.run(
["launchctl", "list", label],
capture_output=True, text=True, timeout=5,
)
if result.returncode == 0:
# Output: "PID\tStatus\tLabel" header, then one data line
for line in result.stdout.strip().splitlines():
parts = line.split()
if len(parts) >= 3 and parts[2] == label:
try:
pid = int(parts[0])
if pid > 0:
pids.add(pid)
except ValueError:
pass
except (FileNotFoundError, subprocess.TimeoutExpired):
pass
return pids
def find_gateway_pids(exclude_pids: set | None = None) -> list:
"""Find PIDs of running gateway processes.
Args:
exclude_pids: PIDs to exclude from the result (e.g. service-managed
PIDs that should not be killed during a stale-process sweep).
"""
pids = []
_exclude = exclude_pids or set()
patterns = [
"hermes_cli.main gateway",
"hermes_cli/main.py gateway",
@@ -43,7 +112,7 @@ def find_gateway_pids() -> list:
# Windows: use wmic to search command lines
result = subprocess.run(
["wmic", "process", "get", "ProcessId,CommandLine", "/FORMAT:LIST"],
capture_output=True, text=True
capture_output=True, text=True, timeout=10
)
# Parse WMIC LIST output: blocks of "CommandLine=...\nProcessId=...\n"
current_cmd = ""
@@ -56,7 +125,7 @@ def find_gateway_pids() -> list:
if any(p in current_cmd for p in patterns):
try:
pid = int(pid_str)
if pid != os.getpid() and pid not in pids:
if pid != os.getpid() and pid not in pids and pid not in _exclude:
pids.append(pid)
except ValueError:
pass
@@ -65,7 +134,8 @@ def find_gateway_pids() -> list:
result = subprocess.run(
["ps", "aux"],
capture_output=True,
text=True
text=True,
timeout=10,
)
for line in result.stdout.split('\n'):
# Skip grep and current process
@@ -77,7 +147,7 @@ def find_gateway_pids() -> list:
if len(parts) > 1:
try:
pid = int(parts[1])
if pid not in pids:
if pid not in pids and pid not in _exclude:
pids.append(pid)
except ValueError:
continue
@@ -88,9 +158,15 @@ def find_gateway_pids() -> list:
return pids
def kill_gateway_processes(force: bool = False) -> int:
"""Kill ALL running gateway processes (across all profiles). Returns count killed."""
pids = find_gateway_pids()
def kill_gateway_processes(force: bool = False, exclude_pids: set | None = None) -> int:
"""Kill any running gateway processes. Returns count killed.
Args:
force: Use SIGKILL instead of SIGTERM.
exclude_pids: PIDs to skip (e.g. service-managed PIDs that were just
restarted and should not be killed).
"""
pids = find_gateway_pids(exclude_pids=exclude_pids)
killed = 0
for pid in pids:
@@ -402,6 +478,7 @@ def get_systemd_linger_status() -> tuple[bool | None, str]:
capture_output=True,
text=True,
check=False,
timeout=10,
)
except Exception as e:
return None, str(e)
@@ -636,7 +713,7 @@ def refresh_systemd_unit_if_needed(system: bool = False) -> bool:
expected_user = _read_systemd_user_from_unit(unit_path) if system else None
unit_path.write_text(generate_systemd_unit(system=system, run_as_user=expected_user), encoding="utf-8")
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True)
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True, timeout=30)
print(f"↻ Updated gateway {_service_scope_label(system)} service definition to match the current Hermes install")
return True
@@ -687,6 +764,7 @@ def _ensure_linger_enabled() -> None:
capture_output=True,
text=True,
check=False,
timeout=30,
)
except Exception as e:
_print_linger_enable_warning(username, str(e))
@@ -717,7 +795,7 @@ def systemd_install(force: bool = False, system: bool = False, run_as_user: str
if not systemd_unit_is_current(system=system):
print(f"↻ Repairing outdated {_service_scope_label(system)} systemd service at: {unit_path}")
refresh_systemd_unit_if_needed(system=system)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True, timeout=30)
print(f"{_service_scope_label(system).capitalize()} service definition updated")
return
print(f"Service already installed at: {unit_path}")
@@ -728,8 +806,8 @@ def systemd_install(force: bool = False, system: bool = False, run_as_user: str
print(f"Installing {_service_scope_label(system)} systemd service to: {unit_path}")
unit_path.write_text(generate_systemd_unit(system=system, run_as_user=run_as_user), encoding="utf-8")
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True)
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True, timeout=30)
print()
print(f"{_service_scope_label(system).capitalize()} service installed and enabled!")
@@ -755,15 +833,15 @@ def systemd_uninstall(system: bool = False):
if system:
_require_root_for_system_service("uninstall")
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=False)
subprocess.run(_systemctl_cmd(system) + ["disable", get_service_name()], check=False)
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=False, timeout=90)
subprocess.run(_systemctl_cmd(system) + ["disable", get_service_name()], check=False, timeout=30)
unit_path = get_systemd_unit_path(system=system)
if unit_path.exists():
unit_path.unlink()
print(f"✓ Removed {unit_path}")
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True)
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True, timeout=30)
print(f"{_service_scope_label(system).capitalize()} service uninstalled")
@@ -772,7 +850,7 @@ def systemd_start(system: bool = False):
if system:
_require_root_for_system_service("start")
refresh_systemd_unit_if_needed(system=system)
subprocess.run(_systemctl_cmd(system) + ["start", get_service_name()], check=True)
subprocess.run(_systemctl_cmd(system) + ["start", get_service_name()], check=True, timeout=30)
print(f"{_service_scope_label(system).capitalize()} service started")
@@ -781,7 +859,7 @@ def systemd_stop(system: bool = False):
system = _select_systemd_scope(system)
if system:
_require_root_for_system_service("stop")
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=True)
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=True, timeout=90)
print(f"{_service_scope_label(system).capitalize()} service stopped")
@@ -791,7 +869,7 @@ def systemd_restart(system: bool = False):
if system:
_require_root_for_system_service("restart")
refresh_systemd_unit_if_needed(system=system)
subprocess.run(_systemctl_cmd(system) + ["restart", get_service_name()], check=True)
subprocess.run(_systemctl_cmd(system) + ["restart", get_service_name()], check=True, timeout=90)
print(f"{_service_scope_label(system).capitalize()} service restarted")
@@ -818,12 +896,14 @@ def systemd_status(deep: bool = False, system: bool = False):
subprocess.run(
_systemctl_cmd(system) + ["status", get_service_name(), "--no-pager"],
capture_output=False,
timeout=10,
)
result = subprocess.run(
_systemctl_cmd(system) + ["is-active", get_service_name()],
capture_output=True,
text=True,
timeout=10,
)
status = result.stdout.strip()
@@ -860,7 +940,7 @@ def systemd_status(deep: bool = False, system: bool = False):
if deep:
print()
print("Recent logs:")
subprocess.run(_journalctl_cmd(system) + ["-u", get_service_name(), "-n", "20", "--no-pager"])
subprocess.run(_journalctl_cmd(system) + ["-u", get_service_name(), "-n", "20", "--no-pager"], timeout=10)
# =============================================================================
@@ -873,6 +953,11 @@ def get_launchd_label() -> str:
return f"ai.hermes.gateway-{suffix}" if suffix else "ai.hermes.gateway"
def _launchd_domain() -> str:
import os
return f"gui/{os.getuid()}"
def generate_launchd_plist() -> str:
python_path = get_python_path()
working_dir = str(PROJECT_ROOT)
@@ -963,18 +1048,19 @@ def launchd_plist_is_current() -> bool:
def refresh_launchd_plist_if_needed() -> bool:
"""Rewrite the installed launchd plist when the generated definition has changed.
Unlike systemd, launchd picks up plist changes on the next ``launchctl stop``/
``launchctl start`` cycle no daemon-reload is needed. We still unload/reload
to make launchd re-read the updated plist immediately.
Unlike systemd, launchd picks up plist changes on the next ``launchctl kill``/
``launchctl kickstart`` cycle no daemon-reload is needed. We still bootout/
bootstrap to make launchd re-read the updated plist immediately.
"""
plist_path = get_launchd_plist_path()
if not plist_path.exists() or launchd_plist_is_current():
return False
plist_path.write_text(generate_launchd_plist(), encoding="utf-8")
# Unload/reload so launchd picks up the new definition
subprocess.run(["launchctl", "unload", str(plist_path)], check=False)
subprocess.run(["launchctl", "load", str(plist_path)], check=False)
label = get_launchd_label()
# Bootout/bootstrap so launchd picks up the new definition
subprocess.run(["launchctl", "bootout", f"{_launchd_domain()}/{label}"], check=False, timeout=90)
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=False, timeout=30)
print("↻ Updated gateway launchd service definition to match the current Hermes install")
return True
@@ -996,7 +1082,7 @@ def launchd_install(force: bool = False):
print(f"Installing launchd service to: {plist_path}")
plist_path.write_text(generate_launchd_plist())
subprocess.run(["launchctl", "load", str(plist_path)], check=True)
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
print()
print("✓ Service installed and loaded!")
@@ -1008,7 +1094,8 @@ def launchd_install(force: bool = False):
def launchd_uninstall():
plist_path = get_launchd_plist_path()
subprocess.run(["launchctl", "unload", str(plist_path)], check=False)
label = get_launchd_label()
subprocess.run(["launchctl", "bootout", f"{_launchd_domain()}/{label}"], check=False, timeout=90)
if plist_path.exists():
plist_path.unlink()
@@ -1025,25 +1112,25 @@ def launchd_start():
print("↻ launchd plist missing; regenerating service definition")
plist_path.parent.mkdir(parents=True, exist_ok=True)
plist_path.write_text(generate_launchd_plist(), encoding="utf-8")
subprocess.run(["launchctl", "load", str(plist_path)], check=True)
subprocess.run(["launchctl", "start", label], check=True)
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "kickstart", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
print("✓ Service started")
return
refresh_launchd_plist_if_needed()
try:
subprocess.run(["launchctl", "start", label], check=True)
subprocess.run(["launchctl", "kickstart", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
except subprocess.CalledProcessError as e:
if e.returncode != 3:
if e.returncode not in (3, 113):
raise
print("↻ launchd job was unloaded; reloading service definition")
subprocess.run(["launchctl", "load", str(plist_path)], check=True)
subprocess.run(["launchctl", "start", label], check=True)
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "kickstart", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
print("✓ Service started")
def launchd_stop():
label = get_launchd_label()
subprocess.run(["launchctl", "stop", label], check=True)
subprocess.run(["launchctl", "kill", "SIGTERM", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
print("✓ Service stopped")
def _wait_for_gateway_exit(timeout: float = 10.0, force_after: float = 5.0):
@@ -1087,23 +1174,39 @@ def _wait_for_gateway_exit(timeout: float = 10.0, force_after: float = 5.0):
def launchd_restart():
label = get_launchd_label()
target = f"{_launchd_domain()}/{label}"
# Use kickstart -k so launchd performs an atomic kill+restart.
# A two-step stop/start from inside the gateway's own process tree
# would kill the shell before the start command is reached.
try:
launchd_stop()
subprocess.run(["launchctl", "kickstart", "-k", target], check=True, timeout=90)
print("✓ Service restarted")
except subprocess.CalledProcessError as e:
if e.returncode != 3:
if e.returncode not in (3, 113):
raise
print("↻ launchd job was unloaded; skipping stop")
_wait_for_gateway_exit()
launchd_start()
# Job not loaded — bootstrap and start fresh
print("↻ launchd job was unloaded; reloading")
plist_path = get_launchd_plist_path()
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "kickstart", target], check=True, timeout=30)
print("✓ Service restarted")
def launchd_status(deep: bool = False):
plist_path = get_launchd_plist_path()
label = get_launchd_label()
result = subprocess.run(
["launchctl", "list", label],
capture_output=True,
text=True
)
try:
result = subprocess.run(
["launchctl", "list", label],
capture_output=True,
text=True,
timeout=10,
)
loaded = result.returncode == 0
loaded_output = result.stdout
except subprocess.TimeoutExpired:
loaded = False
loaded_output = ""
print(f"Launchd plist: {plist_path}")
if launchd_plist_is_current():
@@ -1111,10 +1214,10 @@ def launchd_status(deep: bool = False):
else:
print("⚠ Service definition is stale relative to the current Hermes install")
print(" Run: hermes gateway start")
if result.returncode == 0:
if loaded:
print("✓ Gateway service is loaded")
print(result.stdout)
print(loaded_output)
else:
print("✗ Gateway service is not loaded")
print(" Service definition exists locally but launchd has not loaded it.")
@@ -1125,7 +1228,7 @@ def launchd_status(deep: bool = False):
if log_file.exists():
print()
print("Recent logs:")
subprocess.run(["tail", "-20", str(log_file)])
subprocess.run(["tail", "-20", str(log_file)], timeout=10)
# =============================================================================
@@ -1642,28 +1745,37 @@ def _is_service_running() -> bool:
system_unit_exists = get_systemd_unit_path(system=True).exists()
if user_unit_exists:
result = subprocess.run(
_systemctl_cmd(False) + ["is-active", get_service_name()],
capture_output=True, text=True
)
if result.stdout.strip() == "active":
return True
try:
result = subprocess.run(
_systemctl_cmd(False) + ["is-active", get_service_name()],
capture_output=True, text=True, timeout=10,
)
if result.stdout.strip() == "active":
return True
except subprocess.TimeoutExpired:
pass
if system_unit_exists:
result = subprocess.run(
_systemctl_cmd(True) + ["is-active", get_service_name()],
capture_output=True, text=True
)
if result.stdout.strip() == "active":
return True
try:
result = subprocess.run(
_systemctl_cmd(True) + ["is-active", get_service_name()],
capture_output=True, text=True, timeout=10,
)
if result.stdout.strip() == "active":
return True
except subprocess.TimeoutExpired:
pass
return False
elif is_macos() and get_launchd_plist_path().exists():
result = subprocess.run(
["launchctl", "list", get_launchd_label()],
capture_output=True, text=True
)
return result.returncode == 0
try:
result = subprocess.run(
["launchctl", "list", get_launchd_label()],
capture_output=True, text=True, timeout=10,
)
return result.returncode == 0
except subprocess.TimeoutExpired:
return False
# Check for manual processes
return len(find_gateway_pids()) > 0
@@ -1691,8 +1803,7 @@ def _setup_signal():
print_warning("signal-cli not found on PATH.")
print_info(" Signal requires signal-cli running as an HTTP daemon.")
print_info(" Install options:")
print_info(" Linux: sudo apt install signal-cli")
print_info(" or download from https://github.com/AsamK/signal-cli")
print_info(" Linux: download from https://github.com/AsamK/signal-cli/releases")
print_info(" macOS: brew install signal-cli")
print_info(" Docker: bbernhard/signal-cli-rest-api")
print()
+336
View File
@@ -0,0 +1,336 @@
"""``hermes logs`` — view and filter Hermes log files.
Supports tailing, following, session filtering, level filtering, and
relative time ranges. All log files live under ``~/.hermes/logs/``.
Usage examples::
hermes logs # last 50 lines of agent.log
hermes logs -f # follow agent.log in real time
hermes logs errors # last 50 lines of errors.log
hermes logs gateway -n 100 # last 100 lines of gateway.log
hermes logs --level WARNING # only WARNING+ lines
hermes logs --session abc123 # filter by session ID substring
hermes logs --since 1h # lines from the last hour
hermes logs --since 30m -f # follow, starting 30 min ago
"""
import os
import re
import sys
import time
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_home, display_hermes_home
# Known log files (name → filename)
LOG_FILES = {
"agent": "agent.log",
"errors": "errors.log",
"gateway": "gateway.log",
}
# Log line timestamp regex — matches "2026-04-05 22:35:00,123" or
# "2026-04-05 22:35:00" at the start of a line.
_TS_RE = re.compile(r"^(\d{4}-\d{2}-\d{2}\s+\d{2}:\d{2}:\d{2})")
# Level extraction — matches " INFO ", " WARNING ", " ERROR ", " DEBUG ", " CRITICAL "
_LEVEL_RE = re.compile(r"\s(DEBUG|INFO|WARNING|ERROR|CRITICAL)\s")
# Level ordering for >= filtering
_LEVEL_ORDER = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3, "CRITICAL": 4}
def _parse_since(since_str: str) -> Optional[datetime]:
"""Parse a relative time string like '1h', '30m', '2d' into a datetime cutoff.
Returns None if the string can't be parsed.
"""
since_str = since_str.strip().lower()
match = re.match(r"^(\d+)\s*([smhd])$", since_str)
if not match:
return None
value = int(match.group(1))
unit = match.group(2)
delta = {
"s": timedelta(seconds=value),
"m": timedelta(minutes=value),
"h": timedelta(hours=value),
"d": timedelta(days=value),
}[unit]
return datetime.now() - delta
def _parse_line_timestamp(line: str) -> Optional[datetime]:
"""Extract timestamp from a log line. Returns None if not parseable."""
m = _TS_RE.match(line)
if not m:
return None
try:
return datetime.strptime(m.group(1), "%Y-%m-%d %H:%M:%S")
except ValueError:
return None
def _extract_level(line: str) -> Optional[str]:
"""Extract the log level from a line."""
m = _LEVEL_RE.search(line)
return m.group(1) if m else None
def _matches_filters(
line: str,
*,
min_level: Optional[str] = None,
session_filter: Optional[str] = None,
since: Optional[datetime] = None,
) -> bool:
"""Check if a log line passes all active filters."""
if since is not None:
ts = _parse_line_timestamp(line)
if ts is not None and ts < since:
return False
if min_level is not None:
level = _extract_level(line)
if level is not None:
if _LEVEL_ORDER.get(level, 0) < _LEVEL_ORDER.get(min_level, 0):
return False
if session_filter is not None:
if session_filter not in line:
return False
return True
def tail_log(
log_name: str = "agent",
*,
num_lines: int = 50,
follow: bool = False,
level: Optional[str] = None,
session: Optional[str] = None,
since: Optional[str] = None,
) -> None:
"""Read and display log lines, optionally following in real time.
Parameters
----------
log_name
Which log to read: ``"agent"``, ``"errors"``, ``"gateway"``.
num_lines
Number of recent lines to show (before follow starts).
follow
If True, keep watching for new lines (Ctrl+C to stop).
level
Minimum log level to show (e.g. ``"WARNING"``).
session
Session ID substring to filter on.
since
Relative time string (e.g. ``"1h"``, ``"30m"``).
"""
filename = LOG_FILES.get(log_name)
if filename is None:
print(f"Unknown log: {log_name!r}. Available: {', '.join(sorted(LOG_FILES))}")
sys.exit(1)
log_path = get_hermes_home() / "logs" / filename
if not log_path.exists():
print(f"Log file not found: {log_path}")
print(f"(Logs are created when Hermes runs — try 'hermes chat' first)")
sys.exit(1)
# Parse --since into a datetime cutoff
since_dt = None
if since:
since_dt = _parse_since(since)
if since_dt is None:
print(f"Invalid --since value: {since!r}. Use format like '1h', '30m', '2d'.")
sys.exit(1)
min_level = level.upper() if level else None
if min_level and min_level not in _LEVEL_ORDER:
print(f"Invalid --level: {level!r}. Use DEBUG, INFO, WARNING, ERROR, or CRITICAL.")
sys.exit(1)
has_filters = min_level is not None or session is not None or since_dt is not None
# Read and display the tail
try:
lines = _read_tail(log_path, num_lines, has_filters=has_filters,
min_level=min_level, session_filter=session,
since=since_dt)
except PermissionError:
print(f"Permission denied: {log_path}")
sys.exit(1)
# Print header
filter_parts = []
if min_level:
filter_parts.append(f"level>={min_level}")
if session:
filter_parts.append(f"session={session}")
if since:
filter_parts.append(f"since={since}")
filter_desc = f" [{', '.join(filter_parts)}]" if filter_parts else ""
if follow:
print(f"--- {display_hermes_home()}/logs/{filename}{filter_desc} (Ctrl+C to stop) ---")
else:
print(f"--- {display_hermes_home()}/logs/{filename}{filter_desc} (last {num_lines}) ---")
for line in lines:
print(line, end="")
if not follow:
return
# Follow mode — poll for new content
try:
_follow_log(log_path, min_level=min_level, session_filter=session,
since=since_dt)
except KeyboardInterrupt:
print("\n--- stopped ---")
def _read_tail(
path: Path,
num_lines: int,
*,
has_filters: bool = False,
min_level: Optional[str] = None,
session_filter: Optional[str] = None,
since: Optional[datetime] = None,
) -> list:
"""Read the last *num_lines* matching lines from a log file.
When filters are active, we read more raw lines to find enough matches.
"""
if has_filters:
# Read more lines to ensure we get enough after filtering.
# For large files, read last 10K lines and filter down.
raw_lines = _read_last_n_lines(path, max(num_lines * 20, 2000))
filtered = [
l for l in raw_lines
if _matches_filters(l, min_level=min_level,
session_filter=session_filter, since=since)
]
return filtered[-num_lines:]
else:
return _read_last_n_lines(path, num_lines)
def _read_last_n_lines(path: Path, n: int) -> list:
"""Efficiently read the last N lines from a file.
For files under 1MB, reads the whole file (fast, simple).
For larger files, reads chunks from the end.
"""
try:
size = path.stat().st_size
if size == 0:
return []
# For files up to 1MB, just read the whole thing — simple and correct.
if size <= 1_048_576:
with open(path, "r", encoding="utf-8", errors="replace") as f:
all_lines = f.readlines()
return all_lines[-n:]
# For large files, read chunks from the end.
with open(path, "rb") as f:
chunk_size = 8192
lines = []
pos = size
while pos > 0 and len(lines) <= n + 1:
read_size = min(chunk_size, pos)
pos -= read_size
f.seek(pos)
chunk = f.read(read_size)
chunk_lines = chunk.split(b"\n")
if lines:
# Merge the last partial line of the new chunk with the
# first partial line of what we already have.
lines[0] = chunk_lines[-1] + lines[0]
lines = chunk_lines[:-1] + lines
else:
lines = chunk_lines
chunk_size = min(chunk_size * 2, 65536)
# Decode and return last N non-empty lines.
decoded = []
for raw in lines:
if not raw.strip():
continue
try:
decoded.append(raw.decode("utf-8", errors="replace") + "\n")
except Exception:
decoded.append(raw.decode("latin-1") + "\n")
return decoded[-n:]
except Exception:
# Fallback: read entire file
with open(path, "r", encoding="utf-8", errors="replace") as f:
all_lines = f.readlines()
return all_lines[-n:]
def _follow_log(
path: Path,
*,
min_level: Optional[str] = None,
session_filter: Optional[str] = None,
since: Optional[datetime] = None,
) -> None:
"""Poll a log file for new content and print matching lines."""
with open(path, "r", encoding="utf-8", errors="replace") as f:
# Seek to end
f.seek(0, 2)
while True:
line = f.readline()
if line:
if _matches_filters(line, min_level=min_level,
session_filter=session_filter, since=since):
print(line, end="")
sys.stdout.flush()
else:
time.sleep(0.3)
def list_logs() -> None:
"""Print available log files with sizes."""
log_dir = get_hermes_home() / "logs"
if not log_dir.exists():
print(f"No logs directory at {display_hermes_home()}/logs/")
return
print(f"Log files in {display_hermes_home()}/logs/:\n")
found = False
for entry in sorted(log_dir.iterdir()):
if entry.is_file() and entry.suffix == ".log":
size = entry.stat().st_size
mtime = datetime.fromtimestamp(entry.stat().st_mtime)
if size < 1024:
size_str = f"{size}B"
elif size < 1024 * 1024:
size_str = f"{size / 1024:.1f}KB"
else:
size_str = f"{size / (1024 * 1024):.1f}MB"
age = datetime.now() - mtime
if age.total_seconds() < 60:
age_str = "just now"
elif age.total_seconds() < 3600:
age_str = f"{int(age.total_seconds() / 60)}m ago"
elif age.total_seconds() < 86400:
age_str = f"{int(age.total_seconds() / 3600)}h ago"
else:
age_str = mtime.strftime("%Y-%m-%d")
print(f" {entry.name:<25} {size_str:>8} {age_str}")
found = True
if not found:
print(" (no log files yet — run 'hermes chat' to generate logs)")
+322 -185
View File
@@ -142,6 +142,13 @@ from hermes_cli.config import get_hermes_home
from hermes_cli.env_loader import load_hermes_dotenv
load_hermes_dotenv(project_env=PROJECT_ROOT / '.env')
# Initialize centralized file logging early — all `hermes` subcommands
# (chat, setup, gateway, config, etc.) write to agent.log + errors.log.
try:
from hermes_logging import setup_logging as _setup_logging
_setup_logging(mode="cli")
except Exception:
pass # best-effort — don't crash the CLI if logging setup fails
import logging
import time as _time
@@ -901,7 +908,7 @@ def select_provider_and_model(args=None):
try:
active = resolve_provider("auto")
except AuthError:
active = "openrouter" # no provider yet; show full picker
active = None # no provider yet; default to first in list
# Detect custom endpoint
if active == "openrouter" and get_env_value("OPENAI_BASE_URL"):
@@ -914,6 +921,7 @@ def select_provider_and_model(args=None):
"copilot-acp": "GitHub Copilot ACP",
"copilot": "GitHub Copilot",
"anthropic": "Anthropic",
"gemini": "Google AI Studio",
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
@@ -926,21 +934,26 @@ def select_provider_and_model(args=None):
"huggingface": "Hugging Face",
"custom": "Custom endpoint",
}
active_label = provider_labels.get(active, active)
active_label = provider_labels.get(active, active) if active else "none"
print()
print(f" Current model: {current_model}")
print(f" Active provider: {active_label}")
print()
# Step 1: Provider selection — put active provider first with marker
providers = [
("openrouter", "OpenRouter (100+ models, pay-per-use)"),
# Step 1: Provider selection — top providers shown first, rest behind "More..."
top_providers = [
("nous", "Nous Portal (Nous Research subscription)"),
("openai-codex", "OpenAI Codex"),
("copilot-acp", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
("copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
("openrouter", "OpenRouter (100+ models, pay-per-use)"),
("anthropic", "Anthropic (Claude models — API key or Claude Code)"),
("openai-codex", "OpenAI Codex"),
("copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
("huggingface", "Hugging Face Inference Providers (20+ open models)"),
]
extended_providers = [
("copilot-acp", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
("gemini", "Google AI Studio (Gemini models — OpenAI-compatible endpoint)"),
("zai", "Z.AI / GLM (Zhipu AI direct API)"),
("kimi-coding", "Kimi / Moonshot (Moonshot AI direct API)"),
("minimax", "MiniMax (global direct API)"),
@@ -950,7 +963,6 @@ def select_provider_and_model(args=None):
("opencode-go", "OpenCode Go (open models, $10/month subscription)"),
("ai-gateway", "AI Gateway (Vercel — 200+ models, pay-per-use)"),
("alibaba", "Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
("huggingface", "Hugging Face Inference Providers (20+ open models)"),
]
# Add user-defined custom providers from config.yaml
@@ -964,12 +976,11 @@ def select_provider_and_model(args=None):
base_url = (entry.get("base_url") or "").strip()
if not name or not base_url:
continue
# Generate a stable key from the name
key = "custom:" + name.lower().replace(" ", "-")
short_url = base_url.replace("https://", "").replace("http://", "").rstrip("/")
saved_model = entry.get("model", "")
model_hint = f"{saved_model}" if saved_model else ""
providers.append((key, f"{name} ({short_url}){model_hint}"))
top_providers.append((key, f"{name} ({short_url}){model_hint}"))
_custom_provider_map[key] = {
"name": name,
"base_url": base_url,
@@ -977,31 +988,54 @@ def select_provider_and_model(args=None):
"model": saved_model,
}
# Always add the manual custom endpoint option last
providers.append(("custom", "Custom endpoint (enter URL manually)"))
top_keys = {k for k, _ in top_providers}
extended_keys = {k for k, _ in extended_providers}
# Add removal option if there are saved custom providers
if _custom_provider_map:
providers.append(("remove-custom", "Remove a saved custom provider"))
# If the active provider is in the extended list, promote it into top
if active and active in extended_keys:
promoted = [(k, l) for k, l in extended_providers if k == active]
extended_providers = [(k, l) for k, l in extended_providers if k != active]
top_providers = promoted + top_providers
top_keys.add(active)
# Reorder so the active provider is at the top
known_keys = {k for k, _ in providers}
active_key = active if active in known_keys else "custom"
# Build the primary menu
ordered = []
for key, label in providers:
if key == active_key:
ordered.insert(0, (key, f"{label} ← currently active"))
default_idx = 0
for key, label in top_providers:
if active and key == active:
ordered.append((key, f"{label} ← currently active"))
default_idx = len(ordered) - 1
else:
ordered.append((key, label))
ordered.append(("more", "More providers..."))
ordered.append(("cancel", "Cancel"))
provider_idx = _prompt_provider_choice([label for _, label in ordered])
provider_idx = _prompt_provider_choice(
[label for _, label in ordered], default=default_idx,
)
if provider_idx is None or ordered[provider_idx][0] == "cancel":
print("No change.")
return
selected_provider = ordered[provider_idx][0]
# "More providers..." — show the extended list
if selected_provider == "more":
ext_ordered = list(extended_providers)
ext_ordered.append(("custom", "Custom endpoint (enter URL manually)"))
if _custom_provider_map:
ext_ordered.append(("remove-custom", "Remove a saved custom provider"))
ext_ordered.append(("cancel", "Cancel"))
ext_idx = _prompt_provider_choice(
[label for _, label in ext_ordered], default=0,
)
if ext_idx is None or ext_ordered[ext_idx][0] == "cancel":
print("No change.")
return
selected_provider = ext_ordered[ext_idx][0]
# Step 2: Provider-specific setup + model selection
if selected_provider == "openrouter":
_model_flow_openrouter(config, current_model)
@@ -1023,38 +1057,37 @@ 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 ("zai", "minimax", "minimax-cn", "kilocode", "opencode-zen", "opencode-go", "ai-gateway", "alibaba", "huggingface"):
elif selected_provider in ("gemini", "zai", "minimax", "minimax-cn", "kilocode", "opencode-zen", "opencode-go", "ai-gateway", "alibaba", "huggingface"):
_model_flow_api_key_provider(config, selected_provider, current_model)
def _prompt_provider_choice(choices):
"""Show provider selection menu. Returns index or None."""
def _prompt_provider_choice(choices, *, default=0):
"""Show provider selection menu with curses arrow-key navigation.
Falls back to a numbered list when curses is unavailable (e.g. piped
stdin, non-TTY environments). Returns the selected index, or None
if the user cancels.
"""
try:
from simple_term_menu import TerminalMenu
menu_items = [f" {c}" for c in choices]
menu = TerminalMenu(
menu_items, cursor_index=0,
menu_cursor="-> ", menu_cursor_style=("fg_green", "bold"),
menu_highlight_style=("fg_green",),
cycle_cursor=True, clear_screen=False,
title="Select provider:",
)
idx = menu.show()
print()
return idx
except (ImportError, NotImplementedError):
from hermes_cli.setup import _curses_prompt_choice
idx = _curses_prompt_choice("Select provider:", choices, default)
if idx >= 0:
print()
return idx
except Exception:
pass
# Fallback: numbered list
print("Select provider:")
for i, c in enumerate(choices, 1):
print(f" {i}. {c}")
marker = "" if i - 1 == default else " "
print(f" {marker} {i}. {c}")
print()
while True:
try:
val = input(f"Choice [1-{len(choices)}]: ").strip()
val = input(f"Choice [1-{len(choices)}] ({default + 1}): ").strip()
if not val:
return None
return default
idx = int(val) - 1
if 0 <= idx < len(choices):
return idx
@@ -1077,7 +1110,8 @@ def _model_flow_openrouter(config, current_model=""):
print("Get one at: https://openrouter.ai/keys")
print()
try:
key = input("OpenRouter API key (or Enter to cancel): ").strip()
import getpass
key = getpass.getpass("OpenRouter API key (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
@@ -1088,10 +1122,13 @@ def _model_flow_openrouter(config, current_model=""):
print("API key saved.")
print()
from hermes_cli.models import model_ids
from hermes_cli.models import model_ids, get_pricing_for_provider
openrouter_models = model_ids()
selected = _prompt_model_selection(openrouter_models, current_model=current_model)
# Fetch live pricing (non-blocking — returns empty dict on failure)
pricing = get_pricing_for_provider("openrouter")
selected = _prompt_model_selection(openrouter_models, current_model=current_model, pricing=pricing)
if selected:
_save_model_choice(selected)
@@ -1158,7 +1195,7 @@ def _model_flow_nous(config, current_model="", args=None):
# Already logged in — use curated model list (same as OpenRouter defaults).
# The live /models endpoint returns hundreds of models; the curated list
# shows only agentic models users recognize from OpenRouter.
from hermes_cli.models import _PROVIDER_MODELS
from hermes_cli.models import _PROVIDER_MODELS, get_pricing_for_provider
model_ids = _PROVIDER_MODELS.get("nous", [])
if not model_ids:
print("No curated models available for Nous Portal.")
@@ -1188,7 +1225,10 @@ def _model_flow_nous(config, current_model="", args=None):
print(f"Could not verify credentials: {msg}")
return
selected = _prompt_model_selection(model_ids, current_model=current_model)
# Fetch live pricing (non-blocking — returns empty dict on failure)
pricing = get_pricing_for_provider("nous")
selected = _prompt_model_selection(model_ids, current_model=current_model, pricing=pricing)
if selected:
_save_model_choice(selected)
# Reactivate Nous as the provider and update config
@@ -1254,12 +1294,21 @@ def _model_flow_openai_codex(config, current_model=""):
return
_codex_token = None
# Prefer credential pool (where `hermes auth` stores device_code tokens),
# fall back to legacy provider state.
try:
from hermes_cli.auth import resolve_codex_runtime_credentials
_codex_creds = resolve_codex_runtime_credentials()
_codex_token = _codex_creds.get("api_key")
_codex_status = get_codex_auth_status()
if _codex_status.get("logged_in"):
_codex_token = _codex_status.get("api_key")
except Exception:
pass
if not _codex_token:
try:
from hermes_cli.auth import resolve_codex_runtime_credentials
_codex_creds = resolve_codex_runtime_credentials()
_codex_token = _codex_creds.get("api_key")
except Exception:
pass
codex_models = get_codex_model_ids(access_token=_codex_token)
@@ -1294,7 +1343,8 @@ def _model_flow_custom(config):
try:
base_url = input(f"API base URL [{current_url or 'e.g. https://api.example.com/v1'}]: ").strip()
api_key = input(f"API key [{current_key[:8] + '...' if current_key else 'optional'}]: ").strip()
import getpass
api_key = getpass.getpass(f"API key [{current_key[:8] + '...' if current_key else 'optional'}]: ").strip()
except (KeyboardInterrupt, EOFError):
print("\nCancelled.")
return
@@ -1803,7 +1853,8 @@ def _model_flow_copilot(config, current_model=""):
return
elif choice == "2":
try:
new_key = input(" Token (COPILOT_GITHUB_TOKEN): ").strip()
import getpass
new_key = getpass.getpass(" Token (COPILOT_GITHUB_TOKEN): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
@@ -2044,7 +2095,8 @@ def _model_flow_kimi(config, current_model=""):
print(f"No {pconfig.name} API key configured.")
if key_env:
try:
new_key = input(f"{key_env} (or Enter to cancel): ").strip()
import getpass
new_key = getpass.getpass(f"{key_env} (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
@@ -2138,7 +2190,8 @@ def _model_flow_api_key_provider(config, provider_id, current_model=""):
print(f"No {pconfig.name} API key configured.")
if key_env:
try:
new_key = input(f"{key_env} (or Enter to cancel): ").strip()
import getpass
new_key = getpass.getpass(f"{key_env} (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
@@ -2167,24 +2220,37 @@ def _model_flow_api_key_provider(config, provider_id, current_model=""):
save_env_value(base_url_env, override)
effective_base = override
# Model selection — try live /models endpoint first, fall back to defaults.
# Providers with large live catalogs (100+ models) use a curated list instead
# so users see familiar model names rather than an overwhelming dump.
# Model selection — resolution order:
# 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, [])
if curated and len(curated) >= 8:
# 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
live_models = None
model_list = curated
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.")
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"}:
@@ -2272,7 +2338,8 @@ def _run_anthropic_oauth_flow(save_env_value):
print(" If the setup-token was displayed above, paste it here:")
print()
try:
manual_token = input(" Paste setup-token (or Enter to cancel): ").strip()
import getpass
manual_token = getpass.getpass(" Paste setup-token (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return False
@@ -2299,7 +2366,8 @@ def _run_anthropic_oauth_flow(save_env_value):
print(" Or paste an existing setup-token now (sk-ant-oat-...):")
print()
try:
token = input(" Setup-token (or Enter to cancel): ").strip()
import getpass
token = getpass.getpass(" Setup-token (or Enter to cancel): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return False
@@ -2392,7 +2460,8 @@ def _model_flow_anthropic(config, current_model=""):
print(" Get an API key at: https://console.anthropic.com/settings/keys")
print()
try:
api_key = input(" API key (sk-ant-...): ").strip()
import getpass
api_key = getpass.getpass(" API key (sk-ant-...): ").strip()
except (KeyboardInterrupt, EOFError):
print()
return
@@ -2554,6 +2623,57 @@ def _clear_bytecode_cache(root: Path) -> int:
return removed
def _gateway_prompt(prompt_text: str, default: str = "", timeout: float = 300.0) -> str:
"""File-based IPC prompt for gateway mode.
Writes a prompt marker file so the gateway can forward the question to the
user, then polls for a response file. Falls back to *default* on timeout.
Used by ``hermes update --gateway`` so interactive prompts (stash restore,
config migration) are forwarded to the messenger instead of being silently
skipped.
"""
import json as _json
import uuid as _uuid
from hermes_constants import get_hermes_home
home = get_hermes_home()
prompt_path = home / ".update_prompt.json"
response_path = home / ".update_response"
# Clean any stale response file
response_path.unlink(missing_ok=True)
payload = {
"prompt": prompt_text,
"default": default,
"id": str(_uuid.uuid4()),
}
tmp = prompt_path.with_suffix(".tmp")
tmp.write_text(_json.dumps(payload))
tmp.replace(prompt_path)
# Poll for response
import time as _time
deadline = _time.monotonic() + timeout
while _time.monotonic() < deadline:
if response_path.exists():
try:
answer = response_path.read_text().strip()
response_path.unlink(missing_ok=True)
prompt_path.unlink(missing_ok=True)
return answer if answer else default
except (OSError, ValueError):
pass
_time.sleep(0.5)
# Timeout — clean up and use default
prompt_path.unlink(missing_ok=True)
response_path.unlink(missing_ok=True)
print(f" (no response after {int(timeout)}s, using default: {default!r})")
return default
def _update_via_zip(args):
"""Update Hermes Agent by downloading a ZIP archive.
@@ -2747,6 +2867,7 @@ def _restore_stashed_changes(
cwd: Path,
stash_ref: str,
prompt_user: bool = False,
input_fn=None,
) -> bool:
if prompt_user:
print()
@@ -2754,7 +2875,10 @@ def _restore_stashed_changes(
print(" Restoring them may reapply local customizations onto the updated codebase.")
print(" Review the result afterward if Hermes behaves unexpectedly.")
print("Restore local changes now? [Y/n]")
response = input().strip().lower()
if input_fn is not None:
response = input_fn("Restore local changes now? [Y/n]", "y")
else:
response = input().strip().lower()
if response not in ("", "y", "yes"):
print("Skipped restoring local changes.")
print("Your changes are still preserved in git stash.")
@@ -3185,6 +3309,10 @@ def cmd_update(args):
if is_managed():
managed_error("update Hermes Agent")
return
gateway_mode = getattr(args, "gateway", False)
# In gateway mode, use file-based IPC for prompts instead of stdin
gw_input_fn = (lambda prompt, default="": _gateway_prompt(prompt, default)) if gateway_mode else None
print("⚕ Updating Hermes Agent...")
print()
@@ -3281,7 +3409,9 @@ def cmd_update(args):
else:
auto_stash_ref = _stash_local_changes_if_needed(git_cmd, PROJECT_ROOT)
prompt_for_restore = auto_stash_ref is not None and sys.stdin.isatty() and sys.stdout.isatty()
prompt_for_restore = auto_stash_ref is not None and (
gateway_mode or (sys.stdin.isatty() and sys.stdout.isatty())
)
# Check if there are updates
result = subprocess.run(
@@ -3300,6 +3430,7 @@ def cmd_update(args):
_restore_stashed_changes(
git_cmd, PROJECT_ROOT, auto_stash_ref,
prompt_user=prompt_for_restore,
input_fn=gw_input_fn,
)
if current_branch not in ("main", "HEAD"):
subprocess.run(
@@ -3351,6 +3482,7 @@ def cmd_update(args):
PROJECT_ROOT,
auto_stash_ref,
prompt_user=prompt_for_restore,
input_fn=gw_input_fn,
)
_invalidate_update_cache()
@@ -3434,7 +3566,7 @@ def cmd_update(args):
try:
from hermes_cli.profiles import list_profiles, get_active_profile_name, seed_profile_skills
active = get_active_profile_name()
other_profiles = [p for p in list_profiles() if not p.is_default and p.name != active]
other_profiles = [p for p in list_profiles() if p.name != active]
if other_profiles:
print()
print("→ Syncing bundled skills to other profiles...")
@@ -3490,7 +3622,11 @@ def cmd_update(args):
print(f" {len(missing_config)} new config option(s) available")
print()
if not (sys.stdin.isatty() and sys.stdout.isatty()):
if gateway_mode:
response = _gateway_prompt(
"Would you like to configure new options now? [Y/n]", "n"
).strip().lower()
elif not (sys.stdin.isatty() and sys.stdout.isatty()):
print(" Non-interactive session — skipping config migration prompt.")
print(" Run 'hermes config migrate' later to apply any new config/env options.")
response = "n"
@@ -3502,11 +3638,15 @@ def cmd_update(args):
if response in ('', 'y', 'yes'):
print()
results = migrate_config(interactive=True, quiet=False)
# In gateway mode, run auto-migrations only (no input() prompts
# for API keys which would hang the detached process).
results = migrate_config(interactive=not gateway_mode, quiet=False)
if results["env_added"] or results["config_added"]:
print()
print("✓ Configuration updated!")
if gateway_mode and missing_env:
print(" API keys require manual entry: hermes config migrate")
else:
print()
print("Skipped. Run 'hermes config migrate' later to configure.")
@@ -3523,6 +3663,7 @@ def cmd_update(args):
from hermes_cli.gateway import (
is_macos, is_linux, _ensure_user_systemd_env,
get_systemd_linger_status, find_gateway_pids,
_get_service_pids,
)
import signal as _signal
@@ -3589,8 +3730,11 @@ def cmd_update(args):
pass
# --- Manual (non-service) gateways ---
# Kill any remaining gateway processes not managed by a service
manual_pids = find_gateway_pids()
# Kill any remaining gateway processes not managed by a service.
# Exclude PIDs that belong to just-restarted services so we don't
# immediately kill the process that systemd/launchd just spawned.
service_pids = _get_service_pids()
manual_pids = find_gateway_pids(exclude_pids=service_pids)
for pid in manual_pids:
try:
os.kill(pid, _signal.SIGTERM)
@@ -3926,6 +4070,26 @@ def cmd_completion(args):
print(generate_bash_completion())
def cmd_logs(args):
"""View and filter Hermes log files."""
from hermes_cli.logs import tail_log, list_logs
log_name = getattr(args, "log_name", "agent") or "agent"
if log_name == "list":
list_logs()
return
tail_log(
log_name,
num_lines=getattr(args, "lines", 50),
follow=getattr(args, "follow", False),
level=getattr(args, "level", None),
session=getattr(args, "session", None),
since=getattr(args, "since", None),
)
def main():
"""Main entry point for hermes CLI."""
parser = argparse.ArgumentParser(
@@ -3943,7 +4107,7 @@ Examples:
hermes logout Clear stored authentication
hermes auth add <provider> Add a pooled credential
hermes auth list List pooled credentials
hermes auth remove <p> <n> Remove pooled credential by index
hermes auth remove <p> <t> Remove pooled credential by index, id, or label
hermes auth reset <provider> Clear exhaustion status for a provider
hermes model Select default model
hermes config View configuration
@@ -3956,6 +4120,10 @@ Examples:
hermes sessions list List past sessions
hermes sessions browse Interactive session picker
hermes sessions rename ID T Rename/title a session
hermes logs View agent.log (last 50 lines)
hermes logs -f Follow agent.log in real time
hermes logs errors View errors.log
hermes logs --since 1h Lines from the last hour
hermes update Update to latest version
For more help on a command:
@@ -4033,12 +4201,12 @@ For more help on a command:
chat_parser.add_argument(
"-s", "--skills",
action="append",
default=None,
default=argparse.SUPPRESS,
help="Preload one or more skills for the session (repeat flag or comma-separate)"
)
chat_parser.add_argument(
"--provider",
choices=["auto", "openrouter", "nous", "openai-codex", "copilot-acp", "copilot", "anthropic", "huggingface", "zai", "kimi-coding", "minimax", "minimax-cn", "kilocode"],
choices=["auto", "openrouter", "nous", "openai-codex", "copilot-acp", "copilot", "anthropic", "gemini", "huggingface", "zai", "kimi-coding", "minimax", "minimax-cn", "kilocode"],
default=None,
help="Inference provider (default: auto)"
)
@@ -4055,6 +4223,7 @@ For more help on a command:
chat_parser.add_argument(
"--resume", "-r",
metavar="SESSION_ID",
default=argparse.SUPPRESS,
help="Resume a previous session by ID (shown on exit)"
)
chat_parser.add_argument(
@@ -4062,14 +4231,14 @@ For more help on a command:
dest="continue_last",
nargs="?",
const=True,
default=None,
default=argparse.SUPPRESS,
metavar="SESSION_NAME",
help="Resume a session by name, or the most recent if no name given"
)
chat_parser.add_argument(
"--worktree", "-w",
action="store_true",
default=False,
default=argparse.SUPPRESS,
help="Run in an isolated git worktree (for parallel agents on the same repo)"
)
chat_parser.add_argument(
@@ -4088,13 +4257,13 @@ For more help on a command:
chat_parser.add_argument(
"--yolo",
action="store_true",
default=False,
default=argparse.SUPPRESS,
help="Bypass all dangerous command approval prompts (use at your own risk)"
)
chat_parser.add_argument(
"--pass-session-id",
action="store_true",
default=False,
default=argparse.SUPPRESS,
help="Include the session ID in the agent's system prompt"
)
chat_parser.add_argument(
@@ -4332,9 +4501,9 @@ For more help on a command:
auth_add.add_argument("--ca-bundle", help="Custom CA bundle for OAuth login")
auth_list = auth_subparsers.add_parser("list", help="List pooled credentials")
auth_list.add_argument("provider", nargs="?", help="Optional provider filter")
auth_remove = auth_subparsers.add_parser("remove", help="Remove a pooled credential by index")
auth_remove = auth_subparsers.add_parser("remove", help="Remove a pooled credential by index, id, or label")
auth_remove.add_argument("provider", help="Provider id")
auth_remove.add_argument("index", type=int, help="1-based credential index")
auth_remove.add_argument("target", help="Credential index, entry id, or exact label")
auth_reset = auth_subparsers.add_parser("reset", help="Clear exhaustion status for all credentials for a provider")
auth_reset.add_argument("provider", help="Provider id")
auth_parser.set_defaults(func=cmd_auth)
@@ -4660,106 +4829,23 @@ For more help on a command:
plugins_parser.set_defaults(func=cmd_plugins)
# =========================================================================
# honcho command — Honcho-specific config (peer, mode, tokens, profiles)
# Provider selection happens via 'hermes memory setup'.
# Plugin CLI commandsdynamically registered by memory/general plugins.
# Plugins provide a register_cli(subparser) function that builds their
# own argparse tree. No hardcoded plugin commands in main.py.
# =========================================================================
honcho_parser = subparsers.add_parser(
"honcho",
help="Manage Honcho memory provider config (peer, mode, profiles)",
description=(
"Configure Honcho-specific settings. Honcho is now a memory provider\n"
"plugin — initial setup is via 'hermes memory setup'. These commands\n"
"manage Honcho's own config: peer names, memory mode, token budgets,\n"
"per-profile host blocks, and cross-profile observability."
),
formatter_class=__import__("argparse").RawDescriptionHelpFormatter,
)
honcho_parser.add_argument(
"--target-profile", metavar="NAME", dest="target_profile",
help="Target a specific profile's Honcho config without switching",
)
honcho_subparsers = honcho_parser.add_subparsers(dest="honcho_command")
honcho_subparsers.add_parser("setup", help="Initial Honcho setup (redirects to hermes memory setup)")
honcho_status = honcho_subparsers.add_parser("status", help="Show current Honcho config and connection status")
honcho_status.add_argument("--all", action="store_true", help="Show config overview across all profiles")
honcho_subparsers.add_parser("peers", help="Show peer identities across all profiles")
honcho_subparsers.add_parser("sessions", help="List known Honcho session mappings")
honcho_map = honcho_subparsers.add_parser(
"map", help="Map current directory to a Honcho session name (no arg = list mappings)"
)
honcho_map.add_argument(
"session_name", nargs="?", default=None,
help="Session name to associate with this directory. Omit to list current mappings.",
)
honcho_peer = honcho_subparsers.add_parser(
"peer", help="Show or update peer names and dialectic reasoning level"
)
honcho_peer.add_argument("--user", metavar="NAME", help="Set user peer name")
honcho_peer.add_argument("--ai", metavar="NAME", help="Set AI peer name")
honcho_peer.add_argument(
"--reasoning",
metavar="LEVEL",
choices=("minimal", "low", "medium", "high", "max"),
help="Set default dialectic reasoning level (minimal/low/medium/high/max)",
)
honcho_mode = honcho_subparsers.add_parser(
"mode", help="Show or set memory mode (hybrid/honcho/local)"
)
honcho_mode.add_argument(
"mode", nargs="?", metavar="MODE",
choices=("hybrid", "honcho", "local"),
help="Memory mode to set (hybrid/honcho/local). Omit to show current.",
)
honcho_tokens = honcho_subparsers.add_parser(
"tokens", help="Show or set token budget for context and dialectic"
)
honcho_tokens.add_argument(
"--context", type=int, metavar="N",
help="Max tokens Honcho returns from session.context() per turn",
)
honcho_tokens.add_argument(
"--dialectic", type=int, metavar="N",
help="Max chars of dialectic result to inject into system prompt",
)
honcho_identity = honcho_subparsers.add_parser(
"identity", help="Seed or show the AI peer's Honcho identity representation"
)
honcho_identity.add_argument(
"file", nargs="?", default=None,
help="Path to file to seed from (e.g. SOUL.md). Omit to show usage.",
)
honcho_identity.add_argument(
"--show", action="store_true",
help="Show current AI peer representation from Honcho",
)
honcho_subparsers.add_parser(
"migrate",
help="Step-by-step migration guide from openclaw-honcho to Hermes Honcho",
)
honcho_subparsers.add_parser("enable", help="Enable Honcho for the active profile")
honcho_subparsers.add_parser("disable", help="Disable Honcho for the active profile")
honcho_subparsers.add_parser("sync", help="Sync Honcho config to all existing profiles")
def cmd_honcho(args):
sub = getattr(args, "honcho_command", None)
if sub == "setup":
# Redirect to the generic memory setup
print("\n Honcho is now configured via the memory provider system.")
print(" Running 'hermes memory setup'...\n")
from hermes_cli.memory_setup import memory_command
memory_command(args)
return
from plugins.memory.honcho.cli import honcho_command
honcho_command(args)
honcho_parser.set_defaults(func=cmd_honcho)
try:
from plugins.memory import discover_plugin_cli_commands
for cmd_info in discover_plugin_cli_commands():
plugin_parser = subparsers.add_parser(
cmd_info["name"],
help=cmd_info["help"],
description=cmd_info.get("description", ""),
formatter_class=__import__("argparse").RawDescriptionHelpFormatter,
)
cmd_info["setup_fn"](plugin_parser)
except Exception as _exc:
import logging as _log
_log.getLogger(__name__).debug("Plugin CLI discovery failed: %s", _exc)
# =========================================================================
# memory command
@@ -5246,6 +5332,10 @@ For more help on a command:
help="Update Hermes Agent to the latest version",
description="Pull the latest changes from git and reinstall dependencies"
)
update_parser.add_argument(
"--gateway", action="store_true", default=False,
help="Gateway mode: use file-based IPC for prompts instead of stdin (used internally by /update)"
)
update_parser.set_defaults(func=cmd_update)
# =========================================================================
@@ -5357,6 +5447,53 @@ For more help on a command:
)
completion_parser.set_defaults(func=cmd_completion)
# =========================================================================
# logs command
# =========================================================================
logs_parser = subparsers.add_parser(
"logs",
help="View and filter Hermes log files",
description="View, tail, and filter agent.log / errors.log / gateway.log",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""\
Examples:
hermes logs Show last 50 lines of agent.log
hermes logs -f Follow agent.log in real time
hermes logs errors Show last 50 lines of errors.log
hermes logs gateway -n 100 Show last 100 lines of gateway.log
hermes logs --level WARNING Only show WARNING and above
hermes logs --session abc123 Filter by session ID
hermes logs --since 1h Lines from the last hour
hermes logs --since 30m -f Follow, starting from 30 min ago
hermes logs list List available log files with sizes
""",
)
logs_parser.add_argument(
"log_name", nargs="?", default="agent",
help="Log to view: agent (default), errors, gateway, or 'list' to show available files",
)
logs_parser.add_argument(
"-n", "--lines", type=int, default=50,
help="Number of lines to show (default: 50)",
)
logs_parser.add_argument(
"-f", "--follow", action="store_true",
help="Follow the log in real time (like tail -f)",
)
logs_parser.add_argument(
"--level", metavar="LEVEL",
help="Minimum log level to show (DEBUG, INFO, WARNING, ERROR)",
)
logs_parser.add_argument(
"--session", metavar="ID",
help="Filter lines containing this session ID substring",
)
logs_parser.add_argument(
"--since", metavar="TIME",
help="Show lines since TIME ago (e.g. 1h, 30m, 2d)",
)
logs_parser.set_defaults(func=cmd_logs)
# =========================================================================
# Parse and execute
# =========================================================================
+54 -7
View File
@@ -229,15 +229,19 @@ def _get_available_providers() -> list:
continue
except Exception:
continue
# Override description with setup hint
schema = provider.get_config_schema() if hasattr(provider, "get_config_schema") else []
has_secrets = any(f.get("secret") for f in schema)
if has_secrets:
has_non_secrets = any(not f.get("secret") for f in schema)
if has_secrets and has_non_secrets:
setup_hint = "API key / local"
elif has_secrets:
setup_hint = "requires API key"
elif not schema:
setup_hint = "no setup needed"
else:
setup_hint = "local"
results.append((name, setup_hint, provider))
return results
@@ -246,6 +250,42 @@ def _get_available_providers() -> list:
# Setup wizard
# ---------------------------------------------------------------------------
def cmd_setup_provider(provider_name: str) -> None:
"""Run memory setup for a specific provider, skipping the picker."""
from hermes_cli.config import load_config, save_config
providers = _get_available_providers()
match = None
for name, desc, provider in providers:
if name == provider_name:
match = (name, desc, provider)
break
if not match:
print(f"\n Memory provider '{provider_name}' not found.")
print(" Run 'hermes memory setup' to see available providers.\n")
return
name, _, provider = match
_install_dependencies(name)
config = load_config()
if not isinstance(config.get("memory"), dict):
config["memory"] = {}
if hasattr(provider, "post_setup"):
hermes_home = str(Path(os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes"))))
provider.post_setup(hermes_home, config)
return
# Fallback: generic schema-based setup (same as cmd_setup)
config["memory"]["provider"] = name
save_config(config)
print(f"\n Memory provider: {name}")
print(f" Activation saved to config.yaml\n")
def cmd_setup(args) -> None:
"""Interactive memory provider setup wizard."""
from hermes_cli.config import load_config, save_config
@@ -283,6 +323,13 @@ def cmd_setup(args) -> None:
# Install pip dependencies if declared in plugin.yaml
_install_dependencies(name)
# If the provider has a post_setup hook, delegate entirely to it.
# The hook handles its own config, connection test, and activation.
if hasattr(provider, "post_setup"):
hermes_home = str(Path(os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes"))))
provider.post_setup(hermes_home, config)
return
schema = provider.get_config_schema() if hasattr(provider, "get_config_schema") else []
provider_config = config["memory"].get(name, {})
@@ -358,18 +405,18 @@ def cmd_setup(args) -> None:
try:
provider.save_config(provider_config, hermes_home)
except Exception as e:
print(f" Failed to write provider config: {e}")
print(f" Failed to write provider config: {e}")
# Write secrets to .env
if env_writes:
_write_env_vars(env_path, env_writes)
print(f"\n Memory provider: {name}")
print(f" Activation saved to config.yaml")
print(f"\n Memory provider: {name}")
print(f" Activation saved to config.yaml")
if provider_config:
print(f" Provider config saved")
print(f" Provider config saved")
if env_writes:
print(f" API keys saved to .env")
print(f" API keys saved to .env")
print(f"\n Start a new session to activate.\n")
+361
View File
@@ -0,0 +1,361 @@
"""Per-provider model name normalization.
Different LLM providers expect model identifiers in different formats:
- **Aggregators** (OpenRouter, Nous, AI Gateway, Kilo Code) need
``vendor/model`` slugs like ``anthropic/claude-sonnet-4.6``.
- **Anthropic** native API expects bare names with dots replaced by
hyphens: ``claude-sonnet-4-6``.
- **Copilot** expects bare names *with* dots preserved:
``claude-sonnet-4.6``.
- **OpenCode Zen** follows the same dot-to-hyphen convention as
Anthropic: ``claude-sonnet-4-6``.
- **OpenCode Go** preserves dots in model names: ``minimax-m2.7``.
- **DeepSeek** only accepts two model identifiers:
``deepseek-chat`` and ``deepseek-reasoner``.
- **Custom** and remaining providers pass the name through as-is.
This module centralises that translation so callers can simply write::
api_model = normalize_model_for_provider(user_input, provider)
Inspired by Clawdbot's ``normalizeAnthropicModelId`` pattern.
"""
from __future__ import annotations
from typing import Optional
# ---------------------------------------------------------------------------
# Vendor prefix mapping
# ---------------------------------------------------------------------------
# Maps the first hyphen-delimited token of a bare model name to the vendor
# slug used by aggregator APIs (OpenRouter, Nous, etc.).
#
# Example: "claude-sonnet-4.6" -> first token "claude" -> vendor "anthropic"
# -> aggregator slug: "anthropic/claude-sonnet-4.6"
_VENDOR_PREFIXES: dict[str, str] = {
"claude": "anthropic",
"gpt": "openai",
"o1": "openai",
"o3": "openai",
"o4": "openai",
"gemini": "google",
"gemma": "google",
"deepseek": "deepseek",
"glm": "z-ai",
"kimi": "moonshotai",
"minimax": "minimax",
"grok": "x-ai",
"qwen": "qwen",
"mimo": "xiaomi",
"nemotron": "nvidia",
"llama": "meta-llama",
"step": "stepfun",
"trinity": "arcee-ai",
}
# Providers whose APIs consume vendor/model slugs.
_AGGREGATOR_PROVIDERS: frozenset[str] = frozenset({
"openrouter",
"nous",
"ai-gateway",
"kilocode",
})
# Providers that want bare names with dots replaced by hyphens.
_DOT_TO_HYPHEN_PROVIDERS: frozenset[str] = frozenset({
"anthropic",
"opencode-zen",
})
# Providers that want bare names with dots preserved.
_STRIP_VENDOR_ONLY_PROVIDERS: frozenset[str] = frozenset({
"copilot",
"copilot-acp",
})
# Providers whose own naming is authoritative -- pass through unchanged.
_PASSTHROUGH_PROVIDERS: frozenset[str] = frozenset({
"gemini",
"zai",
"kimi-coding",
"minimax",
"minimax-cn",
"alibaba",
"huggingface",
"openai-codex",
"custom",
})
# ---------------------------------------------------------------------------
# DeepSeek special handling
# ---------------------------------------------------------------------------
# DeepSeek's API only recognises exactly two model identifiers. We map
# common aliases and patterns to the canonical names.
_DEEPSEEK_REASONER_KEYWORDS: frozenset[str] = frozenset({
"reasoner",
"r1",
"think",
"reasoning",
"cot",
})
_DEEPSEEK_CANONICAL_MODELS: frozenset[str] = frozenset({
"deepseek-chat",
"deepseek-reasoner",
})
def _normalize_for_deepseek(model_name: str) -> str:
"""Map any model input to one of DeepSeek's two accepted identifiers.
Rules:
- Already ``deepseek-chat`` or ``deepseek-reasoner`` -> pass through.
- Contains any reasoner keyword (r1, think, reasoning, cot, reasoner)
-> ``deepseek-reasoner``.
- Everything else -> ``deepseek-chat``.
Args:
model_name: The bare model name (vendor prefix already stripped).
Returns:
One of ``"deepseek-chat"`` or ``"deepseek-reasoner"``.
"""
bare = _strip_vendor_prefix(model_name).lower()
if bare in _DEEPSEEK_CANONICAL_MODELS:
return bare
# Check for reasoner-like keywords anywhere in the name
for keyword in _DEEPSEEK_REASONER_KEYWORDS:
if keyword in bare:
return "deepseek-reasoner"
return "deepseek-chat"
# ---------------------------------------------------------------------------
# Helper utilities
# ---------------------------------------------------------------------------
def _strip_vendor_prefix(model_name: str) -> str:
"""Remove a ``vendor/`` prefix if present.
Examples::
>>> _strip_vendor_prefix("anthropic/claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> _strip_vendor_prefix("claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> _strip_vendor_prefix("meta-llama/llama-4-scout")
'llama-4-scout'
"""
if "/" in model_name:
return model_name.split("/", 1)[1]
return model_name
def _dots_to_hyphens(model_name: str) -> str:
"""Replace dots with hyphens in a model name.
Anthropic's native API uses hyphens where marketing names use dots:
``claude-sonnet-4.6`` -> ``claude-sonnet-4-6``.
"""
return model_name.replace(".", "-")
def detect_vendor(model_name: str) -> Optional[str]:
"""Detect the vendor slug from a bare model name.
Uses the first hyphen-delimited token of the model name to look up
the corresponding vendor in ``_VENDOR_PREFIXES``. Also handles
case-insensitive matching and special patterns.
Args:
model_name: A model name, optionally already including a
``vendor/`` prefix. If a prefix is present it is used
directly.
Returns:
The vendor slug (e.g. ``"anthropic"``, ``"openai"``) or ``None``
if no vendor can be confidently detected.
Examples::
>>> detect_vendor("claude-sonnet-4.6")
'anthropic'
>>> detect_vendor("gpt-5.4-mini")
'openai'
>>> detect_vendor("anthropic/claude-sonnet-4.6")
'anthropic'
>>> detect_vendor("my-custom-model")
"""
name = model_name.strip()
if not name:
return None
# If there's already a vendor/ prefix, extract it
if "/" in name:
return name.split("/", 1)[0].lower() or None
name_lower = name.lower()
# Try first hyphen-delimited token (exact match)
first_token = name_lower.split("-")[0]
if first_token in _VENDOR_PREFIXES:
return _VENDOR_PREFIXES[first_token]
# Handle patterns where the first token includes version digits,
# e.g. "qwen3.5-plus" -> first token "qwen3.5", but prefix is "qwen"
for prefix, vendor in _VENDOR_PREFIXES.items():
if name_lower.startswith(prefix):
return vendor
return None
def _prepend_vendor(model_name: str) -> str:
"""Prepend the detected ``vendor/`` prefix if missing.
Used for aggregator providers that require ``vendor/model`` format.
If the name already contains a ``/``, it is returned as-is.
If no vendor can be detected, the name is returned unchanged
(aggregators may still accept it or return an error).
Examples::
>>> _prepend_vendor("claude-sonnet-4.6")
'anthropic/claude-sonnet-4.6'
>>> _prepend_vendor("anthropic/claude-sonnet-4.6")
'anthropic/claude-sonnet-4.6'
>>> _prepend_vendor("my-custom-thing")
'my-custom-thing'
"""
if "/" in model_name:
return model_name
vendor = detect_vendor(model_name)
if vendor:
return f"{vendor}/{model_name}"
return model_name
# ---------------------------------------------------------------------------
# Main normalisation entry point
# ---------------------------------------------------------------------------
def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
"""Translate a model name into the format the target provider's API expects.
This is the primary entry point for model name normalisation. It
accepts any user-facing model identifier and transforms it for the
specific provider that will receive the API call.
Args:
model_input: The model name as provided by the user or config.
Can be bare (``"claude-sonnet-4.6"``), vendor-prefixed
(``"anthropic/claude-sonnet-4.6"``), or already in native
format (``"claude-sonnet-4-6"``).
target_provider: The canonical Hermes provider id, e.g.
``"openrouter"``, ``"anthropic"``, ``"copilot"``,
``"deepseek"``, ``"custom"``. Should already be normalised
via ``hermes_cli.models.normalize_provider()``.
Returns:
The model identifier string that the target provider's API
expects.
Raises:
No exceptions -- always returns a best-effort string.
Examples::
>>> normalize_model_for_provider("claude-sonnet-4.6", "openrouter")
'anthropic/claude-sonnet-4.6'
>>> normalize_model_for_provider("anthropic/claude-sonnet-4.6", "anthropic")
'claude-sonnet-4-6'
>>> normalize_model_for_provider("anthropic/claude-sonnet-4.6", "copilot")
'claude-sonnet-4.6'
>>> normalize_model_for_provider("openai/gpt-5.4", "copilot")
'gpt-5.4'
>>> normalize_model_for_provider("claude-sonnet-4.6", "opencode-zen")
'claude-sonnet-4-6'
>>> normalize_model_for_provider("deepseek-v3", "deepseek")
'deepseek-chat'
>>> normalize_model_for_provider("deepseek-r1", "deepseek")
'deepseek-reasoner'
>>> normalize_model_for_provider("my-model", "custom")
'my-model'
>>> normalize_model_for_provider("claude-sonnet-4.6", "zai")
'claude-sonnet-4.6'
"""
name = (model_input or "").strip()
if not name:
return name
provider = (target_provider or "").strip().lower()
# --- Aggregators: need vendor/model format ---
if provider in _AGGREGATOR_PROVIDERS:
return _prepend_vendor(name)
# --- Anthropic / OpenCode: strip vendor, dots -> hyphens ---
if provider in _DOT_TO_HYPHEN_PROVIDERS:
bare = _strip_vendor_prefix(name)
return _dots_to_hyphens(bare)
# --- Copilot: strip vendor, keep dots ---
if provider in _STRIP_VENDOR_ONLY_PROVIDERS:
return _strip_vendor_prefix(name)
# --- DeepSeek: map to one of two canonical names ---
if provider == "deepseek":
return _normalize_for_deepseek(name)
# --- Custom & all others: pass through as-is ---
return name
# ---------------------------------------------------------------------------
# Batch / convenience helpers
# ---------------------------------------------------------------------------
def model_display_name(model_id: str) -> str:
"""Return a short, human-readable display name for a model id.
Strips the vendor prefix (if any) for a cleaner display in menus
and status bars, while preserving dots for readability.
Examples::
>>> model_display_name("anthropic/claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> model_display_name("claude-sonnet-4-6")
'claude-sonnet-4-6'
"""
return _strip_vendor_prefix((model_id or "").strip())
def is_aggregator_provider(provider: str) -> bool:
"""Check if a provider is an aggregator that needs vendor/model format."""
return (provider or "").strip().lower() in _AGGREGATOR_PROVIDERS
def vendor_for_model(model_name: str) -> str:
"""Return the vendor slug for a model, or ``""`` if unknown.
Convenience wrapper around :func:`detect_vendor` that never returns
``None``.
"""
return detect_vendor(model_name) or ""
+752 -69
View File
@@ -3,18 +3,204 @@
Both the CLI (cli.py) and gateway (gateway/run.py) /model handlers
share the same core pipeline:
parse_model_input is_custom detection auto-detect provider
credential resolution validate model return result
parse flags -> alias resolution -> provider resolution ->
credential resolution -> normalize model name ->
metadata lookup -> build result
This module extracts that shared pipeline into pure functions that
return result objects. The callers handle all platform-specific
concerns: state mutation, config persistence, output formatting.
This module ties together the foundation layers:
- ``agent.models_dev`` -- models.dev catalog, ModelInfo, ProviderInfo
- ``hermes_cli.providers`` -- canonical provider identity + overlays
- ``hermes_cli.model_normalize`` -- per-provider name formatting
Provider switching uses the ``--provider`` flag exclusively.
No colon-based ``provider:model`` syntax colons are reserved for
OpenRouter variant suffixes (``:free``, ``:extended``, ``:fast``).
"""
from __future__ import annotations
from dataclasses import dataclass
import logging
from dataclasses import dataclass, field
from typing import List, NamedTuple, Optional
from hermes_cli.providers import (
ALIASES,
LABELS,
TRANSPORT_TO_API_MODE,
determine_api_mode,
get_label,
get_provider,
is_aggregator,
normalize_provider,
resolve_provider_full,
)
from hermes_cli.model_normalize import (
detect_vendor,
normalize_model_for_provider,
)
from agent.models_dev import (
ModelCapabilities,
ModelInfo,
get_model_capabilities,
get_model_info,
list_provider_models,
search_models_dev,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Non-agentic model warning
# ---------------------------------------------------------------------------
_HERMES_MODEL_WARNING = (
"Nous Research Hermes 3 & 4 models are NOT agentic and are not designed "
"for use with Hermes Agent. They lack the tool-calling capabilities "
"required for agent workflows. Consider using an agentic model instead "
"(Claude, GPT, Gemini, DeepSeek, etc.)."
)
def _check_hermes_model_warning(model_name: str) -> str:
"""Return a warning string if *model_name* looks like a Hermes LLM model."""
if "hermes" in model_name.lower():
return _HERMES_MODEL_WARNING
return ""
# ---------------------------------------------------------------------------
# Model aliases -- short names -> (vendor, family) with NO version numbers.
# Resolved dynamically against the live models.dev catalog.
# ---------------------------------------------------------------------------
class ModelIdentity(NamedTuple):
"""Vendor slug and family prefix used for catalog resolution."""
vendor: str
family: str
MODEL_ALIASES: dict[str, ModelIdentity] = {
# Anthropic
"sonnet": ModelIdentity("anthropic", "claude-sonnet"),
"opus": ModelIdentity("anthropic", "claude-opus"),
"haiku": ModelIdentity("anthropic", "claude-haiku"),
"claude": ModelIdentity("anthropic", "claude"),
# OpenAI
"gpt5": ModelIdentity("openai", "gpt-5"),
"gpt": ModelIdentity("openai", "gpt"),
"codex": ModelIdentity("openai", "codex"),
"o3": ModelIdentity("openai", "o3"),
"o4": ModelIdentity("openai", "o4"),
# Google
"gemini": ModelIdentity("google", "gemini"),
# DeepSeek
"deepseek": ModelIdentity("deepseek", "deepseek-chat"),
# X.AI
"grok": ModelIdentity("x-ai", "grok"),
# Meta
"llama": ModelIdentity("meta-llama", "llama"),
# Qwen / Alibaba
"qwen": ModelIdentity("qwen", "qwen"),
# MiniMax
"minimax": ModelIdentity("minimax", "minimax"),
# Nvidia
"nemotron": ModelIdentity("nvidia", "nemotron"),
# Moonshot / Kimi
"kimi": ModelIdentity("moonshotai", "kimi"),
# Z.AI / GLM
"glm": ModelIdentity("z-ai", "glm"),
# StepFun
"step": ModelIdentity("stepfun", "step"),
# Xiaomi
"mimo": ModelIdentity("xiaomi", "mimo"),
# Arcee
"trinity": ModelIdentity("arcee-ai", "trinity"),
}
# ---------------------------------------------------------------------------
# Direct aliases — exact model+provider+base_url for endpoints that aren't
# in the models.dev catalog (e.g. Ollama Cloud, local servers).
# Checked BEFORE catalog resolution. Format:
# alias -> (model_id, provider, base_url)
# These can also be loaded from config.yaml ``model_aliases:`` section.
# ---------------------------------------------------------------------------
class DirectAlias(NamedTuple):
"""Exact model mapping that bypasses catalog resolution."""
model: str
provider: str
base_url: str
# Built-in direct aliases (can be extended via config.yaml model_aliases:)
_BUILTIN_DIRECT_ALIASES: dict[str, DirectAlias] = {}
# Merged dict (builtins + user config); populated by _load_direct_aliases()
DIRECT_ALIASES: dict[str, DirectAlias] = {}
def _load_direct_aliases() -> dict[str, DirectAlias]:
"""Load direct aliases from config.yaml ``model_aliases:`` section.
Config format::
model_aliases:
qwen:
model: "qwen3.5:397b"
provider: custom
base_url: "https://ollama.com/v1"
minimax:
model: "minimax-m2.7"
provider: custom
base_url: "https://ollama.com/v1"
"""
merged = dict(_BUILTIN_DIRECT_ALIASES)
try:
from hermes_cli.config import load_config
cfg = load_config()
user_aliases = cfg.get("model_aliases")
if isinstance(user_aliases, dict):
for name, entry in user_aliases.items():
if not isinstance(entry, dict):
continue
model = entry.get("model", "")
provider = entry.get("provider", "custom")
base_url = entry.get("base_url", "")
if model:
merged[name.strip().lower()] = DirectAlias(
model=model, provider=provider, base_url=base_url,
)
except Exception:
pass
return merged
def _ensure_direct_aliases() -> None:
"""Lazy-load direct aliases on first use."""
global DIRECT_ALIASES
if not DIRECT_ALIASES:
DIRECT_ALIASES = _load_direct_aliases()
# ---------------------------------------------------------------------------
# Result dataclasses
# ---------------------------------------------------------------------------
@dataclass
class ModelSwitchResult:
@@ -27,11 +213,13 @@ class ModelSwitchResult:
api_key: str = ""
base_url: str = ""
api_mode: str = ""
persist: bool = False
error_message: str = ""
warning_message: str = ""
is_custom_target: bool = False
provider_label: str = ""
resolved_via_alias: str = ""
capabilities: Optional[ModelCapabilities] = None
model_info: Optional[ModelInfo] = None
is_global: bool = False
@dataclass
@@ -45,91 +233,390 @@ class CustomAutoResult:
error_message: str = ""
# ---------------------------------------------------------------------------
# Flag parsing
# ---------------------------------------------------------------------------
def parse_model_flags(raw_args: str) -> tuple[str, str, bool]:
"""Parse --provider and --global flags from /model command args.
Returns (model_input, explicit_provider, is_global).
Examples::
"sonnet" -> ("sonnet", "", False)
"sonnet --global" -> ("sonnet", "", True)
"sonnet --provider anthropic" -> ("sonnet", "anthropic", False)
"--provider my-ollama" -> ("", "my-ollama", False)
"sonnet --provider anthropic --global" -> ("sonnet", "anthropic", True)
"""
is_global = False
explicit_provider = ""
# Extract --global
if "--global" in raw_args:
is_global = True
raw_args = raw_args.replace("--global", "").strip()
# Extract --provider <name>
parts = raw_args.split()
i = 0
filtered: list[str] = []
while i < len(parts):
if parts[i] == "--provider" and i + 1 < len(parts):
explicit_provider = parts[i + 1]
i += 2
else:
filtered.append(parts[i])
i += 1
model_input = " ".join(filtered).strip()
return (model_input, explicit_provider, is_global)
# ---------------------------------------------------------------------------
# Alias resolution
# ---------------------------------------------------------------------------
def resolve_alias(
raw_input: str,
current_provider: str,
) -> Optional[tuple[str, str, str]]:
"""Resolve a short alias against the current provider's catalog.
Looks up *raw_input* in :data:`MODEL_ALIASES`, then searches the
current provider's models.dev catalog for the first model whose ID
starts with ``vendor/family`` (or just ``family`` for non-aggregator
providers).
Returns:
``(provider, resolved_model_id, alias_name)`` if a match is
found on the current provider, or ``None`` if the alias doesn't
exist or no matching model is available.
"""
key = raw_input.strip().lower()
# Check direct aliases first (exact model+provider+base_url mappings)
_ensure_direct_aliases()
direct = DIRECT_ALIASES.get(key)
if direct is not None:
return (direct.provider, direct.model, key)
# Reverse lookup: match by model ID so full names (e.g. "kimi-k2.5",
# "glm-4.7") route through direct aliases instead of falling through
# to the catalog/OpenRouter.
for alias_name, da in DIRECT_ALIASES.items():
if da.model.lower() == key:
return (da.provider, da.model, alias_name)
identity = MODEL_ALIASES.get(key)
if identity is None:
return None
vendor, family = identity
# Search the provider's catalog from models.dev
catalog = list_provider_models(current_provider)
if not catalog:
return None
# For aggregators, models are vendor/model-name format
aggregator = is_aggregator(current_provider)
for model_id in catalog:
mid_lower = model_id.lower()
if aggregator:
# Match vendor/family prefix -- e.g. "anthropic/claude-sonnet"
prefix = f"{vendor}/{family}".lower()
if mid_lower.startswith(prefix):
return (current_provider, model_id, key)
else:
# Non-aggregator: bare names -- e.g. "claude-sonnet-4-6"
family_lower = family.lower()
if mid_lower.startswith(family_lower):
return (current_provider, model_id, key)
return None
def get_authenticated_provider_slugs(
current_provider: str = "",
user_providers: dict = None,
) -> list[str]:
"""Return slugs of providers that have credentials.
Uses ``list_authenticated_providers()`` which is backed by the models.dev
in-memory cache (1 hr TTL) no extra network cost.
"""
try:
providers = list_authenticated_providers(
current_provider=current_provider,
user_providers=user_providers,
max_models=0,
)
return [p["slug"] for p in providers]
except Exception:
return []
def _resolve_alias_fallback(
raw_input: str,
authenticated_providers: list[str] = (),
) -> Optional[tuple[str, str, str]]:
"""Try to resolve an alias on the user's authenticated providers.
Falls back to ``("openrouter", "nous")`` only when no authenticated
providers are supplied (backwards compat for non-interactive callers).
"""
providers = authenticated_providers or ("openrouter", "nous")
for provider in providers:
result = resolve_alias(raw_input, provider)
if result is not None:
return result
return None
# ---------------------------------------------------------------------------
# Core model-switching pipeline
# ---------------------------------------------------------------------------
def switch_model(
raw_input: str,
current_provider: str,
current_model: str,
current_base_url: str = "",
current_api_key: str = "",
is_global: bool = False,
explicit_provider: str = "",
user_providers: dict = None,
) -> ModelSwitchResult:
"""Core model-switching pipeline shared between CLI and gateway.
Handles parsing, provider detection, credential resolution, and
model validation. Does NOT handle config persistence, state
mutation, or output formatting those are caller responsibilities.
Resolution chain:
If --provider given:
a. Resolve provider via resolve_provider_full()
b. Resolve credentials
c. If model given, resolve alias on target provider or use as-is
d. If no model, auto-detect from endpoint
If no --provider:
a. Try alias resolution on current provider
b. If alias exists but not on current provider -> fallback
c. On aggregator, try vendor/model slug conversion
d. Aggregator catalog search
e. detect_provider_for_model() as last resort
f. Resolve credentials
g. Normalize model name for target provider
Finally:
h. Get full model metadata from models.dev
i. Build result
Args:
raw_input: The user's model input (e.g. "claude-sonnet-4",
"zai:glm-5", "custom:local:qwen").
raw_input: The model name (after flag parsing).
current_provider: The currently active provider.
current_base_url: The currently active base URL (used for
is_custom detection).
current_model: The currently active model name.
current_base_url: The currently active base URL.
current_api_key: The currently active API key.
is_global: Whether to persist the switch.
explicit_provider: From --provider flag (empty = no explicit provider).
user_providers: The ``providers:`` dict from config.yaml (for user endpoints).
Returns:
ModelSwitchResult with all information the caller needs to
apply the switch and format output.
ModelSwitchResult with all information the caller needs.
"""
from hermes_cli.models import (
parse_model_input,
detect_provider_for_model,
validate_requested_model,
_PROVIDER_LABELS,
opencode_model_api_mode,
)
from hermes_cli.runtime_provider import resolve_runtime_provider
# Step 1: Parse provider:model syntax
target_provider, new_model = parse_model_input(raw_input, current_provider)
resolved_alias = ""
new_model = raw_input.strip()
target_provider = current_provider
# Step 2: Detect if we're currently on a custom endpoint
_base = current_base_url or ""
is_custom = current_provider == "custom" or (
"localhost" in _base or "127.0.0.1" in _base
)
# =================================================================
# PATH A: Explicit --provider given
# =================================================================
if explicit_provider:
# Resolve the provider
pdef = resolve_provider_full(explicit_provider, user_providers)
if pdef is None:
_switch_err = (
f"Unknown provider '{explicit_provider}'. "
f"Check 'hermes model' for available providers, or define it "
f"in config.yaml under 'providers:'."
)
# Check for common config issues that cause provider resolution failures
try:
from hermes_cli.config import validate_config_structure
_cfg_issues = validate_config_structure()
if _cfg_issues:
_switch_err += "\n\nRun 'hermes doctor' — config issues detected:"
for _ci in _cfg_issues[:3]:
_switch_err += f"\n{_ci.message}"
except Exception:
pass
return ModelSwitchResult(
success=False,
is_global=is_global,
error_message=_switch_err,
)
# Step 3: Auto-detect provider when no explicit provider:model syntax
# was used. Skip for custom providers — the model name might
# coincidentally match a known provider's catalog.
if target_provider == current_provider and not is_custom:
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
target_provider = pdef.id
# If no model specified, try auto-detect from endpoint
if not new_model:
if pdef.base_url:
from hermes_cli.runtime_provider import _auto_detect_local_model
detected = _auto_detect_local_model(pdef.base_url)
if detected:
new_model = detected
else:
return ModelSwitchResult(
success=False,
target_provider=target_provider,
provider_label=pdef.name,
is_global=is_global,
error_message=(
f"No model detected on {pdef.name} ({pdef.base_url}). "
f"Specify the model explicitly: /model <model-name> --provider {explicit_provider}"
),
)
else:
return ModelSwitchResult(
success=False,
target_provider=target_provider,
provider_label=pdef.name,
is_global=is_global,
error_message=(
f"Provider '{pdef.name}' has no base URL configured. "
f"Specify a model: /model <model-name> --provider {explicit_provider}"
),
)
# Resolve alias on the TARGET provider
alias_result = resolve_alias(new_model, target_provider)
if alias_result is not None:
_, new_model, resolved_alias = alias_result
# =================================================================
# PATH B: No explicit provider — resolve from model input
# =================================================================
else:
# --- Step a: Try alias resolution on current provider ---
alias_result = resolve_alias(raw_input, current_provider)
if alias_result is not None:
target_provider, new_model, resolved_alias = alias_result
logger.debug(
"Alias '%s' resolved to %s on %s",
resolved_alias, new_model, target_provider,
)
else:
# --- Step b: Alias exists but not on current provider -> fallback ---
key = raw_input.strip().lower()
if key in MODEL_ALIASES:
authed = get_authenticated_provider_slugs(
current_provider=current_provider,
user_providers=user_providers,
)
fallback_result = _resolve_alias_fallback(raw_input, authed)
if fallback_result is not None:
target_provider, new_model, resolved_alias = fallback_result
logger.debug(
"Alias '%s' resolved via fallback to %s on %s",
resolved_alias, new_model, target_provider,
)
else:
identity = MODEL_ALIASES[key]
return ModelSwitchResult(
success=False,
is_global=is_global,
error_message=(
f"Alias '{key}' maps to {identity.vendor}/{identity.family} "
f"but no matching model was found in any provider catalog. "
f"Try specifying the full model name."
),
)
else:
# --- Step c: On aggregator, convert vendor:model to vendor/model ---
colon_pos = raw_input.find(":")
if colon_pos > 0 and is_aggregator(current_provider):
left = raw_input[:colon_pos].strip().lower()
right = raw_input[colon_pos + 1:].strip()
if left and right:
# Colons become slashes for aggregator slugs
new_model = f"{left}/{right}"
logger.debug(
"Converted vendor:model '%s' to aggregator slug '%s'",
raw_input, new_model,
)
# --- Step d: Aggregator catalog search ---
if is_aggregator(target_provider) and not resolved_alias:
catalog = list_provider_models(target_provider)
if catalog:
new_model_lower = new_model.lower()
for mid in catalog:
if mid.lower() == new_model_lower:
new_model = mid
break
else:
for mid in catalog:
if "/" in mid:
_, bare = mid.split("/", 1)
if bare.lower() == new_model_lower:
new_model = mid
break
# --- Step e: detect_provider_for_model() as last resort ---
_base = current_base_url or ""
is_custom = current_provider in ("custom", "local") or (
"localhost" in _base or "127.0.0.1" in _base
)
if (
target_provider == current_provider
and not is_custom
and not resolved_alias
):
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
# =================================================================
# COMMON PATH: Resolve credentials, normalize, get metadata
# =================================================================
provider_changed = target_provider != current_provider
provider_label = get_label(target_provider)
# Step 4: Resolve credentials for target provider
# --- Resolve credentials ---
api_key = current_api_key
base_url = current_base_url
api_mode = ""
if provider_changed:
if provider_changed or explicit_provider:
try:
runtime = resolve_runtime_provider(requested=target_provider)
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
api_mode = runtime.get("api_mode", "")
except Exception as e:
provider_label = _PROVIDER_LABELS.get(target_provider, target_provider)
if target_provider == "custom":
return ModelSwitchResult(
success=False,
target_provider=target_provider,
error_message=(
"No custom endpoint configured. Set model.base_url "
"in config.yaml, or set OPENAI_BASE_URL in .env, "
"or run: hermes setup → Custom OpenAI-compatible endpoint"
),
)
return ModelSwitchResult(
success=False,
target_provider=target_provider,
provider_label=provider_label,
is_global=is_global,
error_message=(
f"Could not resolve credentials for provider "
f"'{provider_label}': {e}"
),
)
else:
# Gateway also resolves for unchanged provider to get accurate
# base_url for validation probing.
try:
runtime = resolve_runtime_provider(requested=current_provider)
api_key = runtime.get("api_key", "")
@@ -138,7 +625,19 @@ def switch_model(
except Exception:
pass
# Step 5: Validate the model
# --- Direct alias override: use exact base_url from the alias if set ---
if resolved_alias:
_ensure_direct_aliases()
_da = DIRECT_ALIASES.get(resolved_alias)
if _da is not None and _da.base_url:
base_url = _da.base_url
if not api_key:
api_key = "no-key-required"
# --- Normalize model name for target provider ---
new_model = normalize_model_for_provider(new_model, target_provider)
# --- Validate ---
try:
validation = validate_requested_model(
new_model,
@@ -160,23 +659,34 @@ def switch_model(
success=False,
new_model=new_model,
target_provider=target_provider,
provider_label=provider_label,
is_global=is_global,
error_message=msg,
)
# Step 6: Build result
provider_label = _PROVIDER_LABELS.get(target_provider, target_provider)
is_custom_target = target_provider == "custom" or (
base_url
and "openrouter.ai" not in (base_url or "")
and ("localhost" in (base_url or "") or "127.0.0.1" in (base_url or ""))
)
if target_provider in {"opencode-zen", "opencode-go"}:
# Recompute against the requested new model, not the currently-configured
# model used during runtime resolution. OpenCode mixes API surfaces by
# model family, so a same-provider model switch can change api_mode.
# --- OpenCode api_mode override ---
if target_provider in {"opencode-zen", "opencode-go", "opencode", "opencode-go"}:
api_mode = opencode_model_api_mode(target_provider, new_model)
# --- Determine api_mode if not already set ---
if not api_mode:
api_mode = determine_api_mode(target_provider, base_url)
# --- Get capabilities (legacy) ---
capabilities = get_model_capabilities(target_provider, new_model)
# --- Get full model info from models.dev ---
model_info = get_model_info(target_provider, new_model)
# --- Collect warnings ---
warnings: list[str] = []
if validation.get("message"):
warnings.append(validation["message"])
hermes_warn = _check_hermes_model_warning(new_model)
if hermes_warn:
warnings.append(hermes_warn)
# --- Build result ---
return ModelSwitchResult(
success=True,
new_model=new_model,
@@ -185,18 +695,191 @@ def switch_model(
api_key=api_key,
base_url=base_url,
api_mode=api_mode,
persist=bool(validation.get("persist")),
warning_message=validation.get("message") or "",
is_custom_target=is_custom_target,
warning_message=" | ".join(warnings) if warnings else "",
provider_label=provider_label,
resolved_via_alias=resolved_alias,
capabilities=capabilities,
model_info=model_info,
is_global=is_global,
)
def switch_to_custom_provider() -> CustomAutoResult:
"""Handle bare '/model custom' — resolve endpoint and auto-detect model.
# ---------------------------------------------------------------------------
# Authenticated providers listing (for /model no-args display)
# ---------------------------------------------------------------------------
Returns a result object; the caller handles persistence and output.
def list_authenticated_providers(
current_provider: str = "",
user_providers: dict = None,
max_models: int = 8,
) -> List[dict]:
"""Detect which providers have credentials and list their curated models.
Uses the curated model lists from hermes_cli/models.py (OPENROUTER_MODELS,
_PROVIDER_MODELS) NOT the full models.dev catalog. These are hand-picked
agentic models that work well as agent backends.
Returns a list of dicts, each with:
- slug: str the --provider value to use
- name: str display name
- is_current: bool
- is_user_defined: bool
- models: list[str] curated model IDs (up to max_models)
- total_models: int total curated count
- source: str "built-in", "models.dev", "user-config"
Only includes providers that have API keys set or are user-defined endpoints.
"""
import os
from agent.models_dev import (
PROVIDER_TO_MODELS_DEV,
fetch_models_dev,
get_provider_info as _mdev_pinfo,
)
from hermes_cli.models import OPENROUTER_MODELS, _PROVIDER_MODELS
results: List[dict] = []
seen_slugs: set = set()
data = fetch_models_dev()
# Build curated model lists keyed by hermes provider ID
curated: dict[str, list[str]] = dict(_PROVIDER_MODELS)
curated["openrouter"] = [mid for mid, _ in OPENROUTER_MODELS]
# "nous" shares OpenRouter's curated list if not separately defined
if "nous" not in curated:
curated["nous"] = curated["openrouter"]
# --- 1. Check Hermes-mapped providers ---
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
env_vars = pdata.get("env", [])
if not isinstance(env_vars, list):
continue
# Check if any env var is set
has_creds = any(os.environ.get(ev) for ev in env_vars)
if not has_creds:
continue
# Use curated list, falling back to models.dev if no curated list
model_ids = curated.get(hermes_id, [])
total = len(model_ids)
top = model_ids[:max_models]
slug = hermes_id
pinfo = _mdev_pinfo(mdev_id)
display_name = pinfo.name if pinfo else mdev_id
results.append({
"slug": slug,
"name": display_name,
"is_current": slug == current_provider or mdev_id == current_provider,
"is_user_defined": False,
"models": top,
"total_models": total,
"source": "built-in",
})
seen_slugs.add(slug)
# --- 2. Check Hermes-only providers (nous, openai-codex, copilot) ---
from hermes_cli.providers import HERMES_OVERLAYS
for pid, overlay in HERMES_OVERLAYS.items():
if pid in seen_slugs:
continue
# Check if credentials exist
has_creds = False
if overlay.extra_env_vars:
has_creds = any(os.environ.get(ev) for ev in overlay.extra_env_vars)
if overlay.auth_type in ("oauth_device_code", "oauth_external", "external_process"):
# These use auth stores, not env vars — check for auth.json entries
try:
from hermes_cli.auth import _read_auth_store
store = _read_auth_store()
if store and pid in store:
has_creds = True
except Exception:
pass
if not has_creds:
continue
# Use curated list
model_ids = curated.get(pid, [])
total = len(model_ids)
top = model_ids[:max_models]
results.append({
"slug": pid,
"name": get_label(pid),
"is_current": pid == current_provider,
"is_user_defined": False,
"models": top,
"total_models": total,
"source": "hermes",
})
seen_slugs.add(pid)
# --- 3. User-defined endpoints from config ---
if user_providers and isinstance(user_providers, dict):
for ep_name, ep_cfg in user_providers.items():
if not isinstance(ep_cfg, dict):
continue
display_name = ep_cfg.get("name", "") or ep_name
api_url = ep_cfg.get("api", "") or ep_cfg.get("url", "") or ""
default_model = ep_cfg.get("default_model", "")
models_list = []
if default_model:
models_list.append(default_model)
# Try to probe /v1/models if URL is set (but don't block on it)
# For now just show what we know from config
results.append({
"slug": ep_name,
"name": display_name,
"is_current": ep_name == current_provider,
"is_user_defined": True,
"models": models_list,
"total_models": len(models_list) if models_list else 0,
"source": "user-config",
"api_url": api_url,
})
# Sort: current provider first, then by model count descending
results.sort(key=lambda r: (not r["is_current"], -r["total_models"]))
return results
# ---------------------------------------------------------------------------
# Fuzzy suggestions
# ---------------------------------------------------------------------------
def suggest_models(raw_input: str, limit: int = 3) -> List[str]:
"""Return fuzzy model suggestions for a (possibly misspelled) input."""
query = raw_input.strip()
if not query:
return []
results = search_models_dev(query, limit=limit)
suggestions: list[str] = []
for r in results:
mid = r.get("model_id", "")
if mid:
suggestions.append(mid)
return suggestions[:limit]
# ---------------------------------------------------------------------------
# Custom provider switch
# ---------------------------------------------------------------------------
def switch_to_custom_provider() -> CustomAutoResult:
"""Handle bare '/model --provider custom' — resolve endpoint and auto-detect model."""
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
_auto_detect_local_model,
@@ -219,7 +902,7 @@ def switch_to_custom_provider() -> CustomAutoResult:
error_message=(
"No custom endpoint configured. "
"Set model.base_url in config.yaml, or set OPENAI_BASE_URL "
"in .env, or run: hermes setup Custom OpenAI-compatible endpoint"
"in .env, or run: hermes setup -> Custom OpenAI-compatible endpoint"
),
)
@@ -232,7 +915,7 @@ def switch_to_custom_provider() -> CustomAutoResult:
error_message=(
f"Custom endpoint at {cust_base} is reachable but no single "
f"model was auto-detected. Specify the model explicitly: "
f"/model custom:<model-name>"
f"/model <model-name> --provider custom"
),
)
+224 -2
View File
@@ -60,7 +60,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"nous": [
"anthropic/claude-opus-4.6",
"anthropic/claude-sonnet-4.6",
"qwen/qwen3.6-plus:free",
"anthropic/claude-sonnet-4.5",
"anthropic/claude-haiku-4.5",
"openai/gpt-5.4",
@@ -112,6 +111,17 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gemini-2.5-pro",
"grok-code-fast-1",
],
"gemini": [
"gemini-3.1-pro-preview",
"gemini-3-flash-preview",
"gemini-3.1-flash-lite-preview",
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
# Gemma open models (also served via AI Studio)
"gemma-4-31b-it",
"gemma-4-26b-it",
],
"zai": [
"glm-5",
"glm-5-turbo",
@@ -261,6 +271,7 @@ _PROVIDER_LABELS = {
"copilot-acp": "GitHub Copilot ACP",
"nous": "Nous Portal",
"copilot": "GitHub Copilot",
"gemini": "Google AI Studio",
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
@@ -287,6 +298,9 @@ _PROVIDER_ALIASES = {
"github-model": "copilot",
"github-copilot-acp": "copilot-acp",
"copilot-acp-agent": "copilot-acp",
"google": "gemini",
"google-gemini": "gemini",
"google-ai-studio": "gemini",
"kimi": "kimi-coding",
"moonshot": "kimi-coding",
"minimax-china": "minimax-cn",
@@ -327,6 +341,213 @@ def menu_labels() -> list[str]:
return labels
# ---------------------------------------------------------------------------
# Pricing helpers — fetch live pricing from OpenRouter-compatible /v1/models
# ---------------------------------------------------------------------------
# Cache: maps model_id → {"prompt": str, "completion": str} per endpoint
_pricing_cache: dict[str, dict[str, dict[str, str]]] = {}
def _format_price_per_mtok(per_token_str: str) -> str:
"""Convert a per-token price string to a human-friendly $/Mtok string.
Always uses 2 decimal places so that prices align vertically when
right-justified in a column (the decimal point stays in the same position).
Examples:
"0.000003" "$3.00" (per million tokens)
"0.00003" "$30.00"
"0.00000015" "$0.15"
"0.0000001" "$0.10"
"0.00018" "$180.00"
"0" "free"
"""
try:
val = float(per_token_str)
except (TypeError, ValueError):
return "?"
if val == 0:
return "free"
per_m = val * 1_000_000
return f"${per_m:.2f}"
def format_pricing_label(pricing: dict[str, str] | None) -> str:
"""Build a compact pricing label like 'in $3 · out $15 · cache $0.30/Mtok'.
Returns empty string when pricing is unavailable.
"""
if not pricing:
return ""
prompt_price = pricing.get("prompt", "")
completion_price = pricing.get("completion", "")
if not prompt_price and not completion_price:
return ""
inp = _format_price_per_mtok(prompt_price)
out = _format_price_per_mtok(completion_price)
if inp == "free" and out == "free":
return "free"
cache_read = pricing.get("input_cache_read", "")
cache_str = _format_price_per_mtok(cache_read) if cache_read else ""
if inp == out and not cache_str:
return f"{inp}/Mtok"
parts = [f"in {inp}", f"out {out}"]
if cache_str and cache_str != "?" and cache_str != inp:
parts.append(f"cache {cache_str}")
return " · ".join(parts) + "/Mtok"
def format_model_pricing_table(
models: list[tuple[str, str]],
pricing_map: dict[str, dict[str, str]],
current_model: str = "",
indent: str = " ",
) -> list[str]:
"""Build a column-aligned model+pricing table for terminal display.
Returns a list of pre-formatted lines ready to print.
*models* is ``[(model_id, description), ...]``.
"""
if not models:
return []
# Build rows: (model_id, input_price, output_price, cache_price, is_current)
rows: list[tuple[str, str, str, str, bool]] = []
has_cache = False
for mid, _desc in models:
is_cur = mid == current_model
p = pricing_map.get(mid)
if p:
inp = _format_price_per_mtok(p.get("prompt", ""))
out = _format_price_per_mtok(p.get("completion", ""))
cache_read = p.get("input_cache_read", "")
cache = _format_price_per_mtok(cache_read) if cache_read else ""
if cache:
has_cache = True
else:
inp, out, cache = "", "", ""
rows.append((mid, inp, out, cache, is_cur))
name_col = max(len(r[0]) for r in rows) + 2
# Compute price column widths from the actual data so decimals align
price_col = max(
max((len(r[1]) for r in rows if r[1]), default=4),
max((len(r[2]) for r in rows if r[2]), default=4),
3, # minimum: "In" / "Out" header
)
cache_col = max(
max((len(r[3]) for r in rows if r[3]), default=4),
5, # minimum: "Cache" header
) if has_cache else 0
lines: list[str] = []
# Header
if has_cache:
lines.append(f"{indent}{'Model':<{name_col}} {'In':>{price_col}} {'Out':>{price_col}} {'Cache':>{cache_col}} /Mtok")
lines.append(f"{indent}{'-' * name_col} {'-' * price_col} {'-' * price_col} {'-' * cache_col}")
else:
lines.append(f"{indent}{'Model':<{name_col}} {'In':>{price_col}} {'Out':>{price_col}} /Mtok")
lines.append(f"{indent}{'-' * name_col} {'-' * price_col} {'-' * price_col}")
for mid, inp, out, cache, is_cur in rows:
marker = " ← current" if is_cur else ""
if has_cache:
lines.append(f"{indent}{mid:<{name_col}} {inp:>{price_col}} {out:>{price_col}} {cache:>{cache_col}}{marker}")
else:
lines.append(f"{indent}{mid:<{name_col}} {inp:>{price_col}} {out:>{price_col}}{marker}")
return lines
def fetch_models_with_pricing(
api_key: str | None = None,
base_url: str = "https://openrouter.ai/api",
timeout: float = 8.0,
*,
force_refresh: bool = False,
) -> dict[str, dict[str, str]]:
"""Fetch ``/v1/models`` and return ``{model_id: {prompt, completion}}`` pricing.
Results are cached per *base_url* so repeated calls are free.
Works with any OpenRouter-compatible endpoint (OpenRouter, Nous Portal).
"""
cache_key = (base_url or "").rstrip("/")
if not force_refresh and cache_key in _pricing_cache:
return _pricing_cache[cache_key]
url = cache_key.rstrip("/") + "/v1/models"
headers: dict[str, str] = {"Accept": "application/json"}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
try:
req = urllib.request.Request(url, headers=headers)
with urllib.request.urlopen(req, timeout=timeout) as resp:
payload = json.loads(resp.read().decode())
except Exception:
_pricing_cache[cache_key] = {}
return {}
result: dict[str, dict[str, str]] = {}
for item in payload.get("data", []):
mid = item.get("id")
pricing = item.get("pricing")
if mid and isinstance(pricing, dict):
entry: dict[str, str] = {
"prompt": str(pricing.get("prompt", "")),
"completion": str(pricing.get("completion", "")),
}
if pricing.get("input_cache_read"):
entry["input_cache_read"] = str(pricing["input_cache_read"])
if pricing.get("input_cache_write"):
entry["input_cache_write"] = str(pricing["input_cache_write"])
result[mid] = entry
_pricing_cache[cache_key] = result
return result
def _resolve_openrouter_api_key() -> str:
"""Best-effort OpenRouter API key for pricing fetch."""
return os.getenv("OPENROUTER_API_KEY", "").strip()
def _resolve_nous_pricing_credentials() -> tuple[str, str]:
"""Return ``(api_key, base_url)`` for Nous Portal pricing, or empty strings."""
try:
from hermes_cli.auth import resolve_nous_runtime_credentials
creds = resolve_nous_runtime_credentials()
if creds:
return (creds.get("api_key", ""), creds.get("base_url", ""))
except Exception:
pass
return ("", "")
def get_pricing_for_provider(provider: str) -> dict[str, dict[str, str]]:
"""Return live pricing for providers that support it (openrouter, nous)."""
normalized = normalize_provider(provider)
if normalized == "openrouter":
return fetch_models_with_pricing(
api_key=_resolve_openrouter_api_key(),
base_url="https://openrouter.ai/api",
)
if normalized == "nous":
api_key, base_url = _resolve_nous_pricing_credentials()
if base_url:
# Nous base_url typically looks like https://inference-api.nousresearch.com/v1
# We need the part before /v1 for our fetch function
stripped = base_url.rstrip("/")
if stripped.endswith("/v1"):
stripped = stripped[:-3]
return fetch_models_with_pricing(
api_key=api_key,
base_url=stripped,
)
return {}
# All provider IDs and aliases that are valid for the provider:model syntax.
_KNOWN_PROVIDER_NAMES: set[str] = (
set(_PROVIDER_LABELS.keys())
@@ -344,7 +565,8 @@ def list_available_providers() -> list[dict[str, str]]:
# Canonical providers in display order
_PROVIDER_ORDER = [
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"huggingface", "zai", "kimi-coding", "minimax", "minimax-cn", "kilocode", "anthropic", "alibaba",
"gemini", "huggingface",
"zai", "kimi-coding", "minimax", "minimax-cn", "kilocode", "anthropic", "alibaba",
"opencode-zen", "opencode-go",
"ai-gateway", "deepseek", "custom",
]
+23 -11
View File
@@ -131,6 +131,7 @@ def _browser_label(current_provider: str) -> str:
mapping = {
"browserbase": "Browserbase",
"browser-use": "Browser Use",
"firecrawl": "Firecrawl",
"camofox": "Camofox",
"local": "Local browser",
}
@@ -156,6 +157,7 @@ def _resolve_browser_feature_state(
direct_camofox: bool,
direct_browserbase: bool,
direct_browser_use: bool,
direct_firecrawl: bool,
managed_browser_available: bool,
) -> tuple[str, bool, bool, bool]:
"""Resolve browser availability using the same precedence as runtime."""
@@ -165,18 +167,22 @@ def _resolve_browser_feature_state(
if browser_provider_explicit:
current_provider = browser_provider or "local"
if current_provider == "browserbase":
provider_available = managed_browser_available or direct_browserbase
available = bool(browser_local_available and direct_browserbase)
active = bool(browser_tool_enabled and available)
return current_provider, available, active, False
if current_provider == "browser-use":
provider_available = managed_browser_available or direct_browser_use
available = bool(browser_local_available and provider_available)
managed = bool(
browser_tool_enabled
and browser_local_available
and managed_browser_available
and not direct_browserbase
and not direct_browser_use
)
active = bool(browser_tool_enabled and available)
return current_provider, available, active, managed
if current_provider == "browser-use":
available = bool(browser_local_available and direct_browser_use)
if current_provider == "firecrawl":
available = bool(browser_local_available and direct_firecrawl)
active = bool(browser_tool_enabled and available)
return current_provider, available, active, False
if current_provider == "camofox":
@@ -187,16 +193,21 @@ def _resolve_browser_feature_state(
active = bool(browser_tool_enabled and available)
return current_provider, available, active, False
if managed_browser_available or direct_browserbase:
if managed_browser_available or direct_browser_use:
available = bool(browser_local_available)
managed = bool(
browser_tool_enabled
and browser_local_available
and managed_browser_available
and not direct_browserbase
and not direct_browser_use
)
active = bool(browser_tool_enabled and available)
return "browserbase", available, active, managed
return "browser-use", available, active, managed
if direct_browserbase:
available = bool(browser_local_available)
active = bool(browser_tool_enabled and available)
return "browserbase", available, active, False
available = bool(browser_local_available)
active = bool(browser_tool_enabled and available)
@@ -260,7 +271,7 @@ def get_nous_subscription_features(
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")
managed_browser_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("browserbase")
managed_browser_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("browser-use")
managed_modal_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("modal")
modal_state = resolve_modal_backend_state(
modal_mode,
@@ -315,6 +326,7 @@ def get_nous_subscription_features(
direct_camofox=direct_camofox,
direct_browserbase=direct_browserbase,
direct_browser_use=direct_browser_use,
direct_firecrawl=direct_firecrawl,
managed_browser_available=managed_browser_available,
)
@@ -505,10 +517,10 @@ def apply_nous_managed_defaults(
changed.add("tts")
if "browser" in selected_toolsets and not features.browser.explicit_configured and not (
get_env_value("BROWSERBASE_API_KEY")
or get_env_value("BROWSER_USE_API_KEY")
get_env_value("BROWSER_USE_API_KEY")
or get_env_value("BROWSERBASE_API_KEY")
):
browser_cfg["cloud_provider"] = "browserbase"
browser_cfg["cloud_provider"] = "browser-use"
changed.add("browser")
if "image_gen" in selected_toolsets and not get_env_value("FAL_KEY"):
+52 -4
View File
@@ -36,7 +36,7 @@ import sys
import types
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Set
from typing import Any, Callable, Dict, List, Optional, Set, Union
from utils import env_var_enabled
@@ -56,6 +56,8 @@ VALID_HOOKS: Set[str] = {
"post_tool_call",
"pre_llm_call",
"post_llm_call",
"pre_api_request",
"post_api_request",
"on_session_start",
"on_session_end",
}
@@ -93,7 +95,7 @@ class PluginManifest:
version: str = ""
description: str = ""
author: str = ""
requires_env: List[str] = field(default_factory=list)
requires_env: List[Union[str, Dict[str, Any]]] = field(default_factory=list)
provides_tools: List[str] = field(default_factory=list)
provides_hooks: List[str] = field(default_factory=list)
source: str = "" # "user", "project", or "entrypoint"
@@ -182,6 +184,32 @@ class PluginContext:
cli._pending_input.put(msg)
return True
# -- CLI command registration --------------------------------------------
def register_cli_command(
self,
name: str,
help: str,
setup_fn: Callable,
handler_fn: Callable | None = None,
description: str = "",
) -> None:
"""Register a CLI subcommand (e.g. ``hermes honcho ...``).
The *setup_fn* receives an argparse subparser and should add any
arguments/sub-subparsers. If *handler_fn* is provided it is set
as the default dispatch function via ``set_defaults(func=...)``.
"""
self._manager._cli_commands[name] = {
"name": name,
"help": help,
"description": description,
"setup_fn": setup_fn,
"handler_fn": handler_fn,
"plugin": self.manifest.name,
}
logger.debug("Plugin %s registered CLI command: %s", self.manifest.name, name)
# -- hook registration --------------------------------------------------
def register_hook(self, hook_name: str, callback: Callable) -> None:
@@ -213,6 +241,7 @@ class PluginManager:
self._plugins: Dict[str, LoadedPlugin] = {}
self._hooks: Dict[str, List[Callable]] = {}
self._plugin_tool_names: Set[str] = set()
self._cli_commands: Dict[str, dict] = {}
self._discovered: bool = False
self._cli_ref = None # Set by CLI after plugin discovery
@@ -441,8 +470,18 @@ class PluginManager:
plugin cannot break the core agent loop.
Returns a list of non-``None`` return values from callbacks.
This allows hooks like ``pre_llm_call`` to contribute context
that the agent core can collect and inject.
For ``pre_llm_call``, callbacks may return a dict describing
context to inject into the current turn's user message::
{"context": "recalled text..."}
"recalled text..." # plain string, equivalent
Context is ALWAYS injected into the user message, never the
system prompt. This preserves the prompt cache prefix the
system prompt stays identical across turns so cached tokens
are reused. All injected context is ephemeral never
persisted to session DB.
"""
callbacks = self._hooks.get(hook_name, [])
results: List[Any] = []
@@ -516,6 +555,15 @@ def get_plugin_tool_names() -> Set[str]:
return get_plugin_manager()._plugin_tool_names
def get_plugin_cli_commands() -> Dict[str, dict]:
"""Return CLI commands registered by general plugins.
Returns a dict of ``{name: {help, setup_fn, handler_fn, ...}}``
suitable for wiring into argparse subparsers.
"""
return dict(get_plugin_manager()._cli_commands)
def get_plugin_toolsets() -> List[tuple]:
"""Return plugin toolsets as ``(key, label, description)`` tuples.
+95 -4
View File
@@ -41,6 +41,11 @@ def _sanitize_plugin_name(name: str, plugins_dir: Path) -> Path:
if not name:
raise ValueError("Plugin name must not be empty.")
if name in (".", ".."):
raise ValueError(
f"Invalid plugin name '{name}': must not reference the plugins directory itself."
)
# Reject obvious traversal characters
for bad in ("/", "\\", ".."):
if bad in name:
@@ -49,10 +54,14 @@ def _sanitize_plugin_name(name: str, plugins_dir: Path) -> Path:
target = (plugins_dir / name).resolve()
plugins_resolved = plugins_dir.resolve()
if (
not str(target).startswith(str(plugins_resolved) + os.sep)
and target != plugins_resolved
):
if target == plugins_resolved:
raise ValueError(
f"Invalid plugin name '{name}': resolves to the plugins directory itself."
)
try:
target.relative_to(plugins_resolved)
except ValueError:
raise ValueError(
f"Invalid plugin name '{name}': resolves outside the plugins directory."
)
@@ -138,6 +147,82 @@ def _copy_example_files(plugin_dir: Path, console) -> None:
)
def _prompt_plugin_env_vars(manifest: dict, console) -> None:
"""Prompt for required environment variables declared in plugin.yaml.
``requires_env`` accepts two formats:
Simple list (backwards-compatible)::
requires_env:
- MY_API_KEY
Rich list with metadata::
requires_env:
- name: MY_API_KEY
description: "API key for Acme service"
url: "https://acme.com/keys"
secret: true
Already-set variables are skipped. Values are saved to the user's ``.env``.
"""
requires_env = manifest.get("requires_env") or []
if not requires_env:
return
from hermes_cli.config import get_env_value, save_env_value # noqa: F811
from hermes_constants import display_hermes_home
# Normalise to list-of-dicts
env_specs: list[dict] = []
for entry in requires_env:
if isinstance(entry, str):
env_specs.append({"name": entry})
elif isinstance(entry, dict) and entry.get("name"):
env_specs.append(entry)
# Filter to only vars that aren't already set
missing = [s for s in env_specs if not get_env_value(s["name"])]
if not missing:
return
plugin_name = manifest.get("name", "this plugin")
console.print(f"\n[bold]{plugin_name}[/bold] requires the following environment variables:\n")
for spec in missing:
name = spec["name"]
desc = spec.get("description", "")
url = spec.get("url", "")
secret = spec.get("secret", False)
label = f" {name}"
if desc:
label += f"{desc}"
console.print(label)
if url:
console.print(f" [dim]Get yours at: {url}[/dim]")
try:
if secret:
import getpass
value = getpass.getpass(f" {name}: ").strip()
else:
value = input(f" {name}: ").strip()
except (EOFError, KeyboardInterrupt):
console.print(f"\n[dim] Skipped (you can set these later in {display_hermes_home()}/.env)[/dim]")
return
if value:
save_env_value(name, value)
os.environ[name] = value
console.print(f" [green]✓[/green] Saved to {display_hermes_home()}/.env")
else:
console.print(f" [dim] Skipped (set {name} in {display_hermes_home()}/.env later)[/dim]")
console.print()
def _display_after_install(plugin_dir: Path, identifier: str) -> None:
"""Show after-install.md if it exists, otherwise a default message."""
from rich.console import Console
@@ -297,6 +382,12 @@ def cmd_install(identifier: str, force: bool = False) -> None:
# Copy .example files to their real names (e.g. config.yaml.example → config.yaml)
_copy_example_files(target, console)
# Re-read manifest from installed location (for env var prompting)
installed_manifest = _read_manifest(target)
# Prompt for required environment variables before showing after-install docs
_prompt_plugin_env_vars(installed_manifest, console)
_display_after_install(target, identifier)
console.print("[dim]Restart the gateway for the plugin to take effect:[/dim]")
+519
View File
@@ -0,0 +1,519 @@
"""
Single source of truth for provider identity in Hermes Agent.
Two data sources, merged at runtime:
1. **models.dev catalog** 109+ providers with base URLs, env vars, display
names, and full model metadata (context, cost, capabilities). This is
the primary database.
2. **Hermes overlays** transport type, auth patterns, aggregator flags,
and additional env vars that models.dev doesn't track. Small dict,
maintained here.
3. **User config** (``providers:`` section in config.yaml) user-defined
endpoints and overrides. Merged on top of everything else.
Other modules import from this file. No parallel registries.
"""
from __future__ import annotations
import logging
import os
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Tuple
logger = logging.getLogger(__name__)
# -- Hermes overlay ----------------------------------------------------------
# Hermes-specific metadata that models.dev doesn't provide.
@dataclass(frozen=True)
class HermesOverlay:
"""Hermes-specific provider metadata layered on top of models.dev."""
transport: str = "openai_chat" # openai_chat | anthropic_messages | codex_responses
is_aggregator: bool = False
auth_type: str = "api_key" # api_key | oauth_device_code | oauth_external | external_process
extra_env_vars: Tuple[str, ...] = () # env vars models.dev doesn't list
base_url_override: str = "" # override if models.dev URL is wrong/missing
base_url_env_var: str = "" # env var for user-custom base URL
HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
"openrouter": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
extra_env_vars=("OPENAI_API_KEY",),
base_url_env_var="OPENROUTER_BASE_URL",
),
"nous": HermesOverlay(
transport="openai_chat",
auth_type="oauth_device_code",
base_url_override="https://inference-api.nousresearch.com/v1",
),
"openai-codex": HermesOverlay(
transport="codex_responses",
auth_type="oauth_external",
base_url_override="https://chatgpt.com/backend-api/codex",
),
"copilot-acp": HermesOverlay(
transport="codex_responses",
auth_type="external_process",
base_url_override="acp://copilot",
base_url_env_var="COPILOT_ACP_BASE_URL",
),
"github-copilot": HermesOverlay(
transport="openai_chat",
extra_env_vars=("COPILOT_GITHUB_TOKEN", "GH_TOKEN"),
),
"anthropic": HermesOverlay(
transport="anthropic_messages",
extra_env_vars=("ANTHROPIC_TOKEN", "CLAUDE_CODE_OAUTH_TOKEN"),
),
"zai": HermesOverlay(
transport="openai_chat",
extra_env_vars=("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"),
base_url_env_var="GLM_BASE_URL",
),
"kimi-for-coding": HermesOverlay(
transport="openai_chat",
base_url_env_var="KIMI_BASE_URL",
),
"minimax": HermesOverlay(
transport="openai_chat",
base_url_env_var="MINIMAX_BASE_URL",
),
"minimax-cn": HermesOverlay(
transport="openai_chat",
base_url_env_var="MINIMAX_CN_BASE_URL",
),
"deepseek": HermesOverlay(
transport="openai_chat",
base_url_env_var="DEEPSEEK_BASE_URL",
),
"alibaba": HermesOverlay(
transport="openai_chat",
base_url_env_var="DASHSCOPE_BASE_URL",
),
"vercel": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
),
"opencode": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="OPENCODE_ZEN_BASE_URL",
),
"opencode-go": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="OPENCODE_GO_BASE_URL",
),
"kilo": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="KILOCODE_BASE_URL",
),
"huggingface": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="HF_BASE_URL",
),
}
# -- Resolved provider -------------------------------------------------------
# The merged result of models.dev + overlay + user config.
@dataclass
class ProviderDef:
"""Complete provider definition — merged from all sources."""
id: str
name: str
transport: str # openai_chat | anthropic_messages | codex_responses
api_key_env_vars: Tuple[str, ...] # all env vars to check for API key
base_url: str = ""
base_url_env_var: str = ""
is_aggregator: bool = False
auth_type: str = "api_key"
doc: str = ""
source: str = "" # "models.dev", "hermes", "user-config"
@property
def is_user_defined(self) -> bool:
return self.source == "user-config"
# -- Aliases ------------------------------------------------------------------
# Maps human-friendly / legacy names to canonical provider IDs.
# Uses models.dev IDs where possible.
ALIASES: Dict[str, str] = {
# openrouter
"openai": "openrouter", # bare "openai" → route through aggregator
# zai
"glm": "zai",
"z-ai": "zai",
"z.ai": "zai",
"zhipu": "zai",
# kimi-for-coding (models.dev ID)
"kimi": "kimi-for-coding",
"kimi-coding": "kimi-for-coding",
"moonshot": "kimi-for-coding",
# minimax-cn
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
# anthropic
"claude": "anthropic",
"claude-code": "anthropic",
# github-copilot (models.dev ID)
"copilot": "github-copilot",
"github": "github-copilot",
"github-copilot-acp": "copilot-acp",
# vercel (models.dev ID for AI Gateway)
"ai-gateway": "vercel",
"aigateway": "vercel",
"vercel-ai-gateway": "vercel",
# opencode (models.dev ID for OpenCode Zen)
"opencode-zen": "opencode",
"zen": "opencode",
# opencode-go
"go": "opencode-go",
"opencode-go-sub": "opencode-go",
# kilo (models.dev ID for KiloCode)
"kilocode": "kilo",
"kilo-code": "kilo",
"kilo-gateway": "kilo",
# deepseek
"deep-seek": "deepseek",
# alibaba
"dashscope": "alibaba",
"aliyun": "alibaba",
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
# huggingface
"hf": "huggingface",
"hugging-face": "huggingface",
"huggingface-hub": "huggingface",
# Local server aliases → virtual "local" concept (resolved via user config)
"lmstudio": "lmstudio",
"lm-studio": "lmstudio",
"lm_studio": "lmstudio",
"ollama": "ollama-cloud",
"vllm": "local",
"llamacpp": "local",
"llama.cpp": "local",
"llama-cpp": "local",
}
# -- Display labels -----------------------------------------------------------
# Built dynamically from models.dev + overlays. Fallback for providers
# not in the catalog.
_LABEL_OVERRIDES: Dict[str, str] = {
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"local": "Local endpoint",
}
# -- Transport → API mode mapping ---------------------------------------------
TRANSPORT_TO_API_MODE: Dict[str, str] = {
"openai_chat": "chat_completions",
"anthropic_messages": "anthropic_messages",
"codex_responses": "codex_responses",
}
# -- Helper functions ---------------------------------------------------------
def normalize_provider(name: str) -> str:
"""Resolve aliases and normalise casing to a canonical provider id.
Returns the canonical id string. Does *not* validate that the id
corresponds to a known provider.
"""
key = name.strip().lower()
return ALIASES.get(key, key)
def get_overlay(provider_id: str) -> Optional[HermesOverlay]:
"""Get Hermes overlay for a provider, if one exists."""
canonical = normalize_provider(provider_id)
return HERMES_OVERLAYS.get(canonical)
def get_provider(name: str) -> Optional[ProviderDef]:
"""Look up a provider by id or alias, merging all data sources.
Resolution order:
1. Hermes overlays (for providers not in models.dev: nous, openai-codex, etc.)
2. models.dev catalog + Hermes overlay
3. User-defined providers from config (TODO: Phase 4)
Returns a fully-resolved ProviderDef or None.
"""
canonical = normalize_provider(name)
# Try to get models.dev data
try:
from agent.models_dev import get_provider_info as _mdev_provider
mdev_info = _mdev_provider(canonical)
except Exception:
mdev_info = None
overlay = HERMES_OVERLAYS.get(canonical)
if mdev_info is not None:
# Merge models.dev + overlay
transport = overlay.transport if overlay else "openai_chat"
is_agg = overlay.is_aggregator if overlay else False
auth = overlay.auth_type if overlay else "api_key"
base_url_env = overlay.base_url_env_var if overlay else ""
base_url_override = overlay.base_url_override if overlay else ""
# Combine env vars: models.dev env + hermes extra
env_vars = list(mdev_info.env)
if overlay and overlay.extra_env_vars:
for ev in overlay.extra_env_vars:
if ev not in env_vars:
env_vars.append(ev)
return ProviderDef(
id=canonical,
name=mdev_info.name,
transport=transport,
api_key_env_vars=tuple(env_vars),
base_url=base_url_override or mdev_info.api,
base_url_env_var=base_url_env,
is_aggregator=is_agg,
auth_type=auth,
doc=mdev_info.doc,
source="models.dev",
)
if overlay is not None:
# Hermes-only provider (not in models.dev)
return ProviderDef(
id=canonical,
name=_LABEL_OVERRIDES.get(canonical, canonical),
transport=overlay.transport,
api_key_env_vars=overlay.extra_env_vars,
base_url=overlay.base_url_override,
base_url_env_var=overlay.base_url_env_var,
is_aggregator=overlay.is_aggregator,
auth_type=overlay.auth_type,
source="hermes",
)
return None
def get_label(provider_id: str) -> str:
"""Get a human-readable display name for a provider."""
canonical = normalize_provider(provider_id)
# Check label overrides first
if canonical in _LABEL_OVERRIDES:
return _LABEL_OVERRIDES[canonical]
# Try models.dev
pdef = get_provider(canonical)
if pdef:
return pdef.name
return canonical
# Build LABELS dict for backward compat
def _build_labels() -> Dict[str, str]:
"""Build labels dict from overlays + overrides. Lazy, cached."""
labels: Dict[str, str] = {}
for pid in HERMES_OVERLAYS:
labels[pid] = get_label(pid)
labels.update(_LABEL_OVERRIDES)
return labels
# Lazy-built on first access
_labels_cache: Optional[Dict[str, str]] = None
@property
def LABELS() -> Dict[str, str]:
"""Backward-compatible labels dict."""
global _labels_cache
if _labels_cache is None:
_labels_cache = _build_labels()
return _labels_cache
# For direct import compat, expose as module-level dict
# Built on demand by get_label() calls
LABELS: Dict[str, str] = {
# Static entries for backward compat — get_label() is the proper API
"openrouter": "OpenRouter",
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"github-copilot": "GitHub Copilot",
"anthropic": "Anthropic",
"zai": "Z.AI / GLM",
"kimi-for-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"deepseek": "DeepSeek",
"alibaba": "Alibaba Cloud (DashScope)",
"vercel": "Vercel AI Gateway",
"opencode": "OpenCode Zen",
"opencode-go": "OpenCode Go",
"kilo": "Kilo Gateway",
"huggingface": "Hugging Face",
"local": "Local endpoint",
"custom": "Custom endpoint",
# Legacy Hermes IDs (point to same providers)
"ai-gateway": "Vercel AI Gateway",
"kilocode": "Kilo Gateway",
"copilot": "GitHub Copilot",
"kimi-coding": "Kimi / Moonshot",
"opencode-zen": "OpenCode Zen",
}
def is_aggregator(provider: str) -> bool:
"""Return True when the provider is a multi-model aggregator."""
pdef = get_provider(provider)
return pdef.is_aggregator if pdef else False
def determine_api_mode(provider: str, base_url: str = "") -> str:
"""Determine the API mode (wire protocol) for a provider/endpoint.
Resolution order:
1. Known provider transport TRANSPORT_TO_API_MODE.
2. URL heuristics for unknown / custom providers.
3. Default: 'chat_completions'.
"""
pdef = get_provider(provider)
if pdef is not None:
return TRANSPORT_TO_API_MODE.get(pdef.transport, "chat_completions")
# URL-based heuristics for custom / unknown providers
if base_url:
url_lower = base_url.rstrip("/").lower()
if url_lower.endswith("/anthropic") or "api.anthropic.com" in url_lower:
return "anthropic_messages"
if "api.openai.com" in url_lower:
return "codex_responses"
return "chat_completions"
# -- Provider from user config ------------------------------------------------
def resolve_user_provider(name: str, user_config: Dict[str, Any]) -> Optional[ProviderDef]:
"""Resolve a provider from the user's config.yaml ``providers:`` section.
Args:
name: Provider name as given by the user.
user_config: The ``providers:`` dict from config.yaml.
Returns:
ProviderDef if found, else None.
"""
if not user_config or not isinstance(user_config, dict):
return None
entry = user_config.get(name)
if not isinstance(entry, dict):
return None
# Extract fields
display_name = entry.get("name", "") or name
api_url = entry.get("api", "") or entry.get("url", "") or entry.get("base_url", "") or ""
key_env = entry.get("key_env", "") or ""
transport = entry.get("transport", "openai_chat") or "openai_chat"
env_vars: List[str] = []
if key_env:
env_vars.append(key_env)
return ProviderDef(
id=name,
name=display_name,
transport=transport,
api_key_env_vars=tuple(env_vars),
base_url=api_url,
is_aggregator=False,
auth_type="api_key",
source="user-config",
)
def resolve_provider_full(
name: str,
user_providers: Optional[Dict[str, Any]] = None,
) -> Optional[ProviderDef]:
"""Full resolution chain: built-in → models.dev → user config.
This is the main entry point for --provider flag resolution.
Args:
name: Provider name or alias.
user_providers: The ``providers:`` dict from config.yaml (optional).
Returns:
ProviderDef if found, else None.
"""
canonical = normalize_provider(name)
# 1. Built-in (models.dev + overlays)
pdef = get_provider(canonical)
if pdef is not None:
return pdef
# 2. User-defined providers from config
if user_providers:
# Try canonical name
user_pdef = resolve_user_provider(canonical, user_providers)
if user_pdef is not None:
return user_pdef
# Try original name (in case alias didn't match)
user_pdef = resolve_user_provider(name.strip().lower(), user_providers)
if user_pdef is not None:
return user_pdef
# 3. Try models.dev directly (for providers not in our ALIASES)
try:
from agent.models_dev import get_provider_info as _mdev_provider
mdev_info = _mdev_provider(canonical)
if mdev_info is not None:
return ProviderDef(
id=canonical,
name=mdev_info.name,
transport="openai_chat",
api_key_env_vars=mdev_info.env,
base_url=mdev_info.api,
source="models.dev",
)
except Exception:
pass
return None
+57 -24
View File
@@ -2,10 +2,13 @@
from __future__ import annotations
import logging
import os
import re
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
from hermes_cli import auth as auth_mod
from agent.credential_pool import CredentialPool, PooledCredential, get_custom_provider_pool_key, load_pool
from hermes_cli.auth import (
@@ -258,6 +261,12 @@ def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, An
config = load_config()
custom_providers = config.get("custom_providers")
if not isinstance(custom_providers, list):
if isinstance(custom_providers, dict):
logger.warning(
"custom_providers in config.yaml is a dict, not a list. "
"Each entry must be prefixed with '-' in YAML. "
"Run 'hermes doctor' for details."
)
return None
for entry in custom_providers:
@@ -377,9 +386,13 @@ def _resolve_openrouter_runtime(
]
else:
# Custom endpoint: use api_key from config when using config base_url (#1760).
# When the endpoint is Ollama Cloud, check OLLAMA_API_KEY — it's
# the canonical env var for ollama.com authentication.
_is_ollama_url = "ollama.com" in base_url.lower()
api_key_candidates = [
explicit_api_key,
(cfg_api_key if use_config_base_url else ""),
(os.getenv("OLLAMA_API_KEY") if _is_ollama_url else ""),
os.getenv("OPENAI_API_KEY"),
os.getenv("OPENROUTER_API_KEY"),
]
@@ -482,7 +495,11 @@ def _resolve_explicit_runtime(
explicit_base_url
or str(state.get("inference_base_url") or auth_mod.DEFAULT_NOUS_INFERENCE_URL).strip().rstrip("/")
)
api_key = explicit_api_key or str(state.get("agent_key") or state.get("access_token") or "").strip()
# Only use agent_key for inference — access_token is an OAuth token for the
# portal API (minting keys, refreshing tokens), not for the inference API.
# Falling back to access_token sends an OAuth bearer token to the inference
# endpoint, which returns 404 because it is not a valid inference credential.
api_key = explicit_api_key or str(state.get("agent_key") or "").strip()
expires_at = state.get("agent_key_expires_at") or state.get("expires_at")
if not api_key:
creds = resolve_nous_runtime_credentials(
@@ -622,31 +639,47 @@ def resolve_runtime_provider(
)
if provider == "nous":
creds = resolve_nous_runtime_credentials(
min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
)
return {
"provider": "nous",
"api_mode": "chat_completions",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "portal"),
"expires_at": creds.get("expires_at"),
"requested_provider": requested_provider,
}
try:
creds = resolve_nous_runtime_credentials(
min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
)
return {
"provider": "nous",
"api_mode": "chat_completions",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "portal"),
"expires_at": creds.get("expires_at"),
"requested_provider": requested_provider,
}
except AuthError:
if requested_provider != "auto":
raise
# Auto-detected Nous but credentials are stale/revoked —
# fall through to env-var providers (e.g. OpenRouter).
logger.info("Auto-detected Nous provider but credentials failed; "
"falling through to next provider.")
if provider == "openai-codex":
creds = resolve_codex_runtime_credentials()
return {
"provider": "openai-codex",
"api_mode": "codex_responses",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "hermes-auth-store"),
"last_refresh": creds.get("last_refresh"),
"requested_provider": requested_provider,
}
try:
creds = resolve_codex_runtime_credentials()
return {
"provider": "openai-codex",
"api_mode": "codex_responses",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "hermes-auth-store"),
"last_refresh": creds.get("last_refresh"),
"requested_provider": requested_provider,
}
except AuthError:
if requested_provider != "auto":
raise
# Auto-detected Codex but credentials are stale/revoked —
# fall through to env-var providers (e.g. OpenRouter).
logger.info("Auto-detected Codex provider but credentials failed; "
"falling through to next provider.")
if provider == "copilot-acp":
creds = resolve_external_process_provider_credentials(provider)
+538 -514
View File
File diff suppressed because it is too large Load Diff
+2 -1
View File
@@ -123,7 +123,8 @@ def show_status(args):
"MiniMax-CN": "MINIMAX_CN_API_KEY",
"Firecrawl": "FIRECRAWL_API_KEY",
"Tavily": "TAVILY_API_KEY",
"Browserbase": "BROWSERBASE_API_KEY", # Optional — local browser works without this
"Browser Use": "BROWSER_USE_API_KEY", # Optional — local browser works without this
"Browserbase": "BROWSERBASE_API_KEY", # Optional — direct credentials only
"FAL": "FAL_KEY",
"Tinker": "TINKER_API_KEY",
"WandB": "WANDB_API_KEY",
+19 -9
View File
@@ -280,21 +280,21 @@ TOOL_CATEGORIES = {
"icon": "🌐",
"providers": [
{
"name": "Nous Subscription (Browserbase cloud)",
"tag": "Managed Browserbase billed to your subscription",
"name": "Nous Subscription (Browser Use cloud)",
"tag": "Managed Browser Use billed to your subscription",
"env_vars": [],
"browser_provider": "browserbase",
"browser_provider": "browser-use",
"requires_nous_auth": True,
"managed_nous_feature": "browser",
"override_env_vars": ["BROWSERBASE_API_KEY", "BROWSERBASE_PROJECT_ID"],
"post_setup": "browserbase",
"override_env_vars": ["BROWSER_USE_API_KEY"],
"post_setup": "agent_browser",
},
{
"name": "Local Browser",
"tag": "Free headless Chromium (no API key needed)",
"env_vars": [],
"browser_provider": "local",
"post_setup": "browserbase", # Same npm install for agent-browser
"post_setup": "agent_browser",
},
{
"name": "Browserbase",
@@ -304,7 +304,7 @@ TOOL_CATEGORIES = {
{"key": "BROWSERBASE_PROJECT_ID", "prompt": "Browserbase project ID"},
],
"browser_provider": "browserbase",
"post_setup": "browserbase",
"post_setup": "agent_browser",
},
{
"name": "Browser Use",
@@ -313,7 +313,16 @@ TOOL_CATEGORIES = {
{"key": "BROWSER_USE_API_KEY", "prompt": "Browser Use API key", "url": "https://browser-use.com"},
],
"browser_provider": "browser-use",
"post_setup": "browserbase",
"post_setup": "agent_browser",
},
{
"name": "Firecrawl",
"tag": "Cloud browser with remote execution",
"env_vars": [
{"key": "FIRECRAWL_API_KEY", "prompt": "Firecrawl API key", "url": "https://firecrawl.dev"},
],
"browser_provider": "firecrawl",
"post_setup": "agent_browser",
},
{
"name": "Camofox",
@@ -372,7 +381,7 @@ TOOLSET_ENV_REQUIREMENTS = {
def _run_post_setup(post_setup_key: str):
"""Run post-setup hooks for tools that need extra installation steps."""
import shutil
if post_setup_key == "browserbase":
if post_setup_key in ("agent_browser", "browserbase"):
node_modules = PROJECT_ROOT / "node_modules" / "agent-browser"
if not node_modules.exists() and shutil.which("npm"):
_print_info(" Installing Node.js dependencies for browser tools...")
@@ -1336,6 +1345,7 @@ def tools_command(args=None, first_install: bool = False, config: dict = None):
print(color("⚕ Hermes Tool Configuration", Colors.CYAN, Colors.BOLD))
print(color(" Enable or disable tools per platform.", Colors.DIM))
print(color(" Tools that need API keys will be configured when enabled.", Colors.DIM))
print(color(" Guide: https://hermes-agent.nousresearch.com/docs/user-guide/features/tools", Colors.DIM))
print()
# ── First-time install: linear flow, no platform menu ──
+230
View File
@@ -0,0 +1,230 @@
"""Centralized logging setup for Hermes Agent.
Provides a single ``setup_logging()`` entry point that both the CLI and
gateway call early in their startup path. All log files live under
``~/.hermes/logs/`` (profile-aware via ``get_hermes_home()``).
Log files produced:
agent.log INFO+, all agent/tool/session activity (the main log)
errors.log WARNING+, errors and warnings only (quick triage)
Both files use ``RotatingFileHandler`` with ``RedactingFormatter`` so
secrets are never written to disk.
"""
import logging
import os
from logging.handlers import RotatingFileHandler
from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_home
# Sentinel to track whether setup_logging() has already run. The function
# is idempotent — calling it twice is safe but the second call is a no-op
# unless ``force=True``.
_logging_initialized = False
# Default log format — includes timestamp, level, logger name, and message.
_LOG_FORMAT = "%(asctime)s %(levelname)s %(name)s: %(message)s"
_LOG_FORMAT_VERBOSE = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
# Third-party loggers that are noisy at DEBUG/INFO level.
_NOISY_LOGGERS = (
"openai",
"openai._base_client",
"httpx",
"httpcore",
"asyncio",
"hpack",
"hpack.hpack",
"grpc",
"modal",
"urllib3",
"urllib3.connectionpool",
"websockets",
"charset_normalizer",
"markdown_it",
)
def setup_logging(
*,
hermes_home: Optional[Path] = None,
log_level: Optional[str] = None,
max_size_mb: Optional[int] = None,
backup_count: Optional[int] = None,
mode: Optional[str] = None,
force: bool = False,
) -> Path:
"""Configure the Hermes logging subsystem.
Safe to call multiple times the second call is a no-op unless
*force* is ``True``.
Parameters
----------
hermes_home
Override for the Hermes home directory. Falls back to
``get_hermes_home()`` (profile-aware).
log_level
Minimum level for the ``agent.log`` file handler. Accepts any
standard Python level name (``"DEBUG"``, ``"INFO"``, ``"WARNING"``).
Defaults to ``"INFO"`` or the value from config.yaml ``logging.level``.
max_size_mb
Maximum size of each log file in megabytes before rotation.
Defaults to 5 or the value from config.yaml ``logging.max_size_mb``.
backup_count
Number of rotated backup files to keep.
Defaults to 3 or the value from config.yaml ``logging.backup_count``.
mode
Hint for the caller context: ``"cli"``, ``"gateway"``, ``"cron"``.
Currently used only for log format tuning (gateway includes PID).
force
Re-run setup even if it has already been called.
Returns
-------
Path
The ``logs/`` directory where files are written.
"""
global _logging_initialized
if _logging_initialized and not force:
home = hermes_home or get_hermes_home()
return home / "logs"
home = hermes_home or get_hermes_home()
log_dir = home / "logs"
log_dir.mkdir(parents=True, exist_ok=True)
# Read config defaults (best-effort — config may not be loaded yet).
cfg_level, cfg_max_size, cfg_backup = _read_logging_config()
level_name = (log_level or cfg_level or "INFO").upper()
level = getattr(logging, level_name, logging.INFO)
max_bytes = (max_size_mb or cfg_max_size or 5) * 1024 * 1024
backups = backup_count or cfg_backup or 3
# Lazy import to avoid circular dependency at module load time.
from agent.redact import RedactingFormatter
root = logging.getLogger()
# --- agent.log (INFO+) — the main activity log -------------------------
_add_rotating_handler(
root,
log_dir / "agent.log",
level=level,
max_bytes=max_bytes,
backup_count=backups,
formatter=RedactingFormatter(_LOG_FORMAT),
)
# --- errors.log (WARNING+) — quick triage log --------------------------
_add_rotating_handler(
root,
log_dir / "errors.log",
level=logging.WARNING,
max_bytes=2 * 1024 * 1024,
backup_count=2,
formatter=RedactingFormatter(_LOG_FORMAT),
)
# Ensure root logger level is low enough for the handlers to fire.
if root.level == logging.NOTSET or root.level > level:
root.setLevel(level)
# Suppress noisy third-party loggers.
for name in _NOISY_LOGGERS:
logging.getLogger(name).setLevel(logging.WARNING)
_logging_initialized = True
return log_dir
def setup_verbose_logging() -> None:
"""Enable DEBUG-level console logging for ``--verbose`` / ``-v`` mode.
Called by ``AIAgent.__init__()`` when ``verbose_logging=True``.
"""
from agent.redact import RedactingFormatter
root = logging.getLogger()
# Avoid adding duplicate stream handlers.
for h in root.handlers:
if isinstance(h, logging.StreamHandler) and not isinstance(h, RotatingFileHandler):
if getattr(h, "_hermes_verbose", False):
return
handler = logging.StreamHandler()
handler.setLevel(logging.DEBUG)
handler.setFormatter(RedactingFormatter(_LOG_FORMAT_VERBOSE, datefmt="%H:%M:%S"))
handler._hermes_verbose = True # type: ignore[attr-defined]
root.addHandler(handler)
# Lower root logger level so DEBUG records reach all handlers.
if root.level > logging.DEBUG:
root.setLevel(logging.DEBUG)
# Keep third-party libraries at WARNING to reduce noise.
for name in _NOISY_LOGGERS:
logging.getLogger(name).setLevel(logging.WARNING)
# rex-deploy at INFO for sandbox status.
logging.getLogger("rex-deploy").setLevel(logging.INFO)
# ---------------------------------------------------------------------------
# Internal helpers
# ---------------------------------------------------------------------------
def _add_rotating_handler(
logger: logging.Logger,
path: Path,
*,
level: int,
max_bytes: int,
backup_count: int,
formatter: logging.Formatter,
) -> None:
"""Add a ``RotatingFileHandler`` to *logger*, skipping if one already
exists for the same resolved file path (idempotent).
"""
resolved = path.resolve()
for existing in logger.handlers:
if (
isinstance(existing, RotatingFileHandler)
and Path(getattr(existing, "baseFilename", "")).resolve() == resolved
):
return # already attached
path.parent.mkdir(parents=True, exist_ok=True)
handler = RotatingFileHandler(
str(path), maxBytes=max_bytes, backupCount=backup_count,
)
handler.setLevel(level)
handler.setFormatter(formatter)
logger.addHandler(handler)
def _read_logging_config():
"""Best-effort read of ``logging.*`` from config.yaml.
Returns ``(level, max_size_mb, backup_count)`` any may be ``None``.
"""
try:
import yaml
config_path = get_hermes_home() / "config.yaml"
if config_path.exists():
with open(config_path, "r", encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
log_cfg = cfg.get("logging", {})
if isinstance(log_cfg, dict):
return (
log_cfg.get("level"),
log_cfg.get("max_size_mb"),
log_cfg.get("backup_count"),
)
except Exception:
pass
return (None, None, None)
+40 -5
View File
@@ -787,6 +787,7 @@ class SessionDB:
exclude_sources: List[str] = None,
limit: int = 20,
offset: int = 0,
include_children: bool = False,
) -> List[Dict[str, Any]]:
"""List sessions with preview (first user message) and last active timestamp.
@@ -795,10 +796,16 @@ class SessionDB:
last_active (timestamp of last message).
Uses a single query with correlated subqueries instead of N+2 queries.
By default, child sessions (subagent runs, compression continuations)
are excluded. Pass ``include_children=True`` to include them.
"""
where_clauses = []
params = []
if not include_children:
where_clauses.append("s.parent_session_id IS NULL")
if source:
where_clauses.append("s.source = ?")
params.append(source)
@@ -1229,22 +1236,38 @@ class SessionDB:
self._execute_write(_do)
def delete_session(self, session_id: str) -> bool:
"""Delete a session and all its messages. Returns True if found."""
"""Delete a session, its child sessions, and all their messages.
Child sessions (subagent runs, compression continuations) are deleted
first to satisfy the ``parent_session_id`` foreign key constraint.
Returns True if the session was found and deleted.
"""
def _do(conn):
cursor = conn.execute(
"SELECT COUNT(*) FROM sessions WHERE id = ?", (session_id,)
)
if cursor.fetchone()[0] == 0:
return False
# Delete child sessions first (FK constraint)
child_ids = [r[0] for r in conn.execute(
"SELECT id FROM sessions WHERE parent_session_id = ?",
(session_id,),
).fetchall()]
for cid in child_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (cid,))
conn.execute("DELETE FROM sessions WHERE id = ?", (cid,))
# Delete the session itself
conn.execute("DELETE FROM messages WHERE session_id = ?", (session_id,))
conn.execute("DELETE FROM sessions WHERE id = ?", (session_id,))
return True
return self._execute_write(_do)
def prune_sessions(self, older_than_days: int = 90, source: str = None) -> int:
"""
Delete sessions older than N days. Returns count of deleted sessions.
Only prunes ended sessions (not active ones).
"""Delete sessions older than N days. Returns count of deleted sessions.
Only prunes ended sessions (not active ones). Child sessions whose
parents are being pruned are deleted first to satisfy the
``parent_session_id`` foreign key constraint.
"""
cutoff = time.time() - (older_than_days * 86400)
@@ -1260,7 +1283,19 @@ class SessionDB:
"SELECT id FROM sessions WHERE started_at < ? AND ended_at IS NOT NULL",
(cutoff,),
)
session_ids = [row["id"] for row in cursor.fetchall()]
session_ids = set(row["id"] for row in cursor.fetchall())
# Delete children first whose parents are in the prune set
# (avoids FK constraint errors)
for sid in list(session_ids):
child_ids = [r[0] for r in conn.execute(
"SELECT id FROM sessions WHERE parent_session_id = ?",
(sid,),
).fetchall()]
for cid in child_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (cid,))
conn.execute("DELETE FROM sessions WHERE id = ?", (cid,))
session_ids.discard(cid) # don't double-delete
for sid in session_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (sid,))
+114 -3
View File
@@ -211,7 +211,7 @@ _LEGACY_TOOLSET_MAP = {
"browser_tools": [
"browser_navigate", "browser_snapshot", "browser_click",
"browser_type", "browser_scroll", "browser_back",
"browser_press", "browser_close", "browser_get_images",
"browser_press", "browser_get_images",
"browser_vision", "browser_console"
],
"cronjob_tools": ["cronjob"],
@@ -365,10 +365,103 @@ _AGENT_LOOP_TOOLS = {"todo", "memory", "session_search", "delegate_task"}
_READ_SEARCH_TOOLS = {"read_file", "search_files"}
# =========================================================================
# Tool argument type coercion
# =========================================================================
def coerce_tool_args(tool_name: str, args: Dict[str, Any]) -> Dict[str, Any]:
"""Coerce tool call arguments to match their JSON Schema types.
LLMs frequently return numbers as strings (``"42"`` instead of ``42``)
and booleans as strings (``"true"`` instead of ``true``). This compares
each argument value against the tool's registered JSON Schema and attempts
safe coercion when the value is a string but the schema expects a different
type. Original values are preserved when coercion fails.
Handles ``"type": "integer"``, ``"type": "number"``, ``"type": "boolean"``,
and union types (``"type": ["integer", "string"]``).
"""
if not args or not isinstance(args, dict):
return args
schema = registry.get_schema(tool_name)
if not schema:
return args
properties = (schema.get("parameters") or {}).get("properties")
if not properties:
return args
for key, value in args.items():
if not isinstance(value, str):
continue
prop_schema = properties.get(key)
if not prop_schema:
continue
expected = prop_schema.get("type")
if not expected:
continue
coerced = _coerce_value(value, expected)
if coerced is not value:
args[key] = coerced
return args
def _coerce_value(value: str, expected_type):
"""Attempt to coerce a string *value* to *expected_type*.
Returns the original string when coercion is not applicable or fails.
"""
if isinstance(expected_type, list):
# Union type — try each in order, return first successful coercion
for t in expected_type:
result = _coerce_value(value, t)
if result is not value:
return result
return value
if expected_type in ("integer", "number"):
return _coerce_number(value, integer_only=(expected_type == "integer"))
if expected_type == "boolean":
return _coerce_boolean(value)
return value
def _coerce_number(value: str, integer_only: bool = False):
"""Try to parse *value* as a number. Returns original string on failure."""
try:
f = float(value)
except (ValueError, OverflowError):
return value
# Guard against inf/nan before int() conversion
if f != f or f == float("inf") or f == float("-inf"):
return f
# If it looks like an integer (no fractional part), return int
if f == int(f):
return int(f)
if integer_only:
# Schema wants an integer but value has decimals — keep as string
return value
return f
def _coerce_boolean(value: str):
"""Try to parse *value* as a boolean. Returns original string on failure."""
low = value.strip().lower()
if low == "true":
return True
if low == "false":
return False
return value
def handle_function_call(
function_name: str,
function_args: Dict[str, Any],
task_id: Optional[str] = None,
tool_call_id: Optional[str] = None,
session_id: Optional[str] = None,
user_task: Optional[str] = None,
enabled_tools: Optional[List[str]] = None,
) -> str:
@@ -388,6 +481,9 @@ def handle_function_call(
Returns:
Function result as a JSON string.
"""
# Coerce string arguments to their schema-declared types (e.g. "42"→42)
function_args = coerce_tool_args(function_name, function_args)
# Notify the read-loop tracker when a non-read/search tool runs,
# so the *consecutive* counter resets (reads after other work are fine).
if function_name not in _READ_SEARCH_TOOLS:
@@ -403,7 +499,14 @@ def handle_function_call(
try:
from hermes_cli.plugins import invoke_hook
invoke_hook("pre_tool_call", tool_name=function_name, args=function_args, task_id=task_id or "")
invoke_hook(
"pre_tool_call",
tool_name=function_name,
args=function_args,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
except Exception:
pass
@@ -425,7 +528,15 @@ def handle_function_call(
try:
from hermes_cli.plugins import invoke_hook
invoke_hook("post_tool_call", tool_name=function_name, args=function_args, result=result, task_id=task_id or "")
invoke_hook(
"post_tool_call",
tool_name=function_name,
args=function_args,
result=result,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
except Exception:
pass
+1 -1
View File
@@ -561,7 +561,7 @@
# ── Activation: link config + auth + documents ────────────────────
{
system.activationScripts."hermes-agent-setup" = lib.stringAfter [ "users" ] ''
system.activationScripts."hermes-agent-setup" = lib.stringAfter [ "users" "setupSecrets" ] ''
# Ensure directories exist (activation runs before tmpfiles)
mkdir -p ${cfg.stateDir}/.hermes
mkdir -p ${cfg.stateDir}/home
+1 -1
View File
@@ -21,7 +21,7 @@
in {
packages.default = pkgs.stdenv.mkDerivation {
pname = "hermes-agent";
version = "0.1.0";
version = (builtins.fromTOML (builtins.readFile ../pyproject.toml)).project.version;
dontUnpack = true;
dontBuild = true;
@@ -0,0 +1,243 @@
---
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
author: Hermes Agent
license: MIT
metadata:
hermes:
tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling]
homepage: https://docs.honcho.dev
related_skills: [hermes-agent]
prerequisites:
pip: [honcho-ai]
---
# Honcho Memory for Hermes
Honcho provides AI-native cross-session user modeling. It learns who the user is across conversations and gives every Hermes profile its own peer identity while sharing a unified view of the user.
## When to Use
- 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
## Setup
### Cloud (app.honcho.dev)
```bash
hermes honcho setup
# select "cloud", paste API key from https://app.honcho.dev
```
### Self-hosted
```bash
hermes honcho setup
# select "local", enter base URL (e.g. http://localhost:8000)
```
See: https://docs.honcho.dev/v3/guides/integrations/hermes#running-honcho-locally-with-hermes
### Verify
```bash
hermes honcho status # shows resolved config, connection test, peer info
```
## Architecture
### Peers
Honcho models conversations as interactions between **peers**. Hermes creates two peers per session:
- **User peer** (`peerName`): represents the human. Honcho builds a user representation from observed messages.
- **AI peer** (`aiPeer`): represents this Hermes instance. Each profile gets its own AI peer so agents develop independent views.
### Observation
Each peer has two observation toggles that control what Honcho learns from:
| Toggle | What it does |
|--------|-------------|
| `observeMe` | Peer's own messages are observed (builds self-representation) |
| `observeOthers` | Other peers' messages are observed (builds cross-peer understanding) |
Default: all four toggles **on** (full bidirectional observation).
Configure per-peer in `honcho.json`:
```json
{
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": true, "observeOthers": true }
}
}
```
Or use the shorthand presets:
| Preset | User | AI | Use case |
|--------|------|----|----------|
| `"directional"` (default) | me:on, others:on | me:on, others:on | Multi-agent, full memory |
| `"unified"` | me:on, others:off | me:off, others:on | Single agent, user-only modeling |
Settings changed in the [Honcho dashboard](https://app.honcho.dev) are synced back on session init -- server-side config wins over local defaults.
### Sessions
Honcho sessions scope where messages and observations land. Strategy options:
| Strategy | Behavior |
|----------|----------|
| `per-directory` (default) | One session per working directory |
| `per-repo` | One session per git repository root |
| `per-session` | New Honcho session each Hermes run |
| `global` | Single session across all directories |
Manual override: `hermes honcho map my-project-name`
### Recall Modes
How the agent accesses Honcho memory:
| Mode | Auto-inject context? | Tools available? | Use case |
|------|---------------------|-----------------|----------|
| `hybrid` (default) | Yes | Yes | Agent decides when to use tools vs auto context |
| `context` | Yes | No (hidden) | Minimal token cost, no tool calls |
| `tools` | No | Yes | Agent controls all memory access explicitly |
## Multi-Profile Setup
Each Hermes profile gets its own Honcho AI peer while sharing the same workspace (user context). This means:
- All profiles see the same user representation
- Each profile builds its own AI identity and observations
- Conclusions written by one profile are visible to others via the shared workspace
### Create a profile with Honcho peer
```bash
hermes profile create coder --clone
# creates host block hermes.coder, AI peer "coder", inherits config from default
```
What `--clone` does for Honcho:
1. Creates a `hermes.coder` host block in `honcho.json`
2. Sets `aiPeer: "coder"` (the profile name)
3. Inherits `workspace`, `peerName`, `writeFrequency`, `recallMode`, etc. from default
4. Eagerly creates the peer in Honcho so it exists before first message
### Backfill existing profiles
```bash
hermes honcho sync # creates host blocks for all profiles that don't have one yet
```
### Per-profile config
Override any setting in the host block:
```json
{
"hosts": {
"hermes.coder": {
"aiPeer": "coder",
"recallMode": "tools",
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
}
}
}
}
```
## Tools
The agent has 4 Honcho tools (hidden in `context` recall mode):
### `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.
### `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.
### `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.
### `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.
## Config Reference
Config file: `$HERMES_HOME/honcho.json` (profile-local) or `~/.honcho/config.json` (global).
### Key settings
| Key | Default | Description |
|-----|---------|-------------|
| `apiKey` | -- | API key ([get one](https://app.honcho.dev)) |
| `baseUrl` | -- | Base URL for self-hosted Honcho |
| `peerName` | -- | User peer identity |
| `aiPeer` | host key | AI peer identity |
| `workspace` | host key | Shared workspace ID |
| `recallMode` | `hybrid` | `hybrid`, `context`, or `tools` |
| `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)
| Key | Default | Description |
|-----|---------|-------------|
| `injectionFrequency` | `every-turn` | `every-turn` or `first-turn` |
| `contextCadence` | `1` | Min turns between context API calls |
| `dialecticCadence` | `1` | Min turns between dialectic API calls |
## Troubleshooting
### "Honcho not configured"
Run `hermes honcho setup`. Ensure `memory.provider: honcho` is in `~/.hermes/config.yaml`.
### Memory not persisting across sessions
Check `hermes honcho status` -- verify `saveMessages: true` and `writeFrequency` isn't `session` (which only writes on exit).
### Profile not getting its own peer
Use `--clone` when creating: `hermes profile create <name> --clone`. For existing profiles: `hermes honcho sync`.
### Observation changes in dashboard not reflected
Observation config is synced from the server on each session init. Start a new session after changing settings in the Honcho UI.
### 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.
## CLI Commands
| Command | Description |
|---------|-------------|
| `hermes honcho setup` | Interactive setup wizard (cloud/local, identity, observation, recall, sessions) |
| `hermes honcho status` | Show resolved config, connection test, peer info for active profile |
| `hermes honcho enable` | Enable Honcho for the active profile (creates host block if needed) |
| `hermes honcho disable` | Disable Honcho for the active profile |
| `hermes honcho peer` | Show or update peer names (`--user <name>`, `--ai <name>`, `--reasoning <level>`) |
| `hermes honcho peers` | Show peer identities across all profiles |
| `hermes honcho mode` | Show or set recall mode (`hybrid`, `context`, `tools`) |
| `hermes honcho tokens` | Show or set token budgets (`--context <N>`, `--dialectic <N>`) |
| `hermes honcho sessions` | List known directory-to-session-name mappings |
| `hermes honcho map <name>` | Map current working directory to a Honcho session name |
| `hermes honcho identity` | Seed AI peer identity or show both peer representations |
| `hermes honcho sync` | Create host blocks for all Hermes profiles that don't have one yet |
| `hermes honcho migrate` | Step-by-step migration guide from OpenClaw native memory to Hermes + Honcho |
| `hermes memory setup` | Generic memory provider picker (selecting "honcho" runs the same wizard) |
| `hermes memory status` | Show active memory provider and config |
| `hermes memory off` | Disable external memory provider |
@@ -0,0 +1,213 @@
---
name: gitnexus-explorer
description: Index a codebase with GitNexus and serve an interactive knowledge graph via web UI + Cloudflare tunnel.
version: 1.0.0
author: Hermes Agent + Teknium
license: MIT
metadata:
hermes:
tags: [gitnexus, code-intelligence, knowledge-graph, visualization]
related_skills: [native-mcp, codebase-inspection]
---
# GitNexus Explorer
Index any codebase into a knowledge graph and serve an interactive web UI for exploring
symbols, call chains, clusters, and execution flows. Tunneled via Cloudflare for remote access.
## When to Use
- User wants to visually explore a codebase's architecture
- User asks for a knowledge graph / dependency graph of a repo
- User wants to share an interactive codebase explorer with someone
## Prerequisites
- **Node.js** (v18+) — required for GitNexus and the proxy
- **git** — repo must have a `.git` directory
- **cloudflared** — for tunneling (auto-installed to ~/.local/bin if missing)
## Size Warning
The web UI renders all nodes in the browser. Repos under ~5,000 files work well. Large
repos (30k+ nodes) will be sluggish or crash the browser tab. The CLI/MCP tools work
at any scale — only the web visualization has this limit.
## Steps
### 1. Clone and Build GitNexus (one-time setup)
```bash
GITNEXUS_DIR="${GITNEXUS_DIR:-$HOME/.local/share/gitnexus}"
if [ ! -d "$GITNEXUS_DIR/gitnexus-web/dist" ]; then
git clone https://github.com/abhigyanpatwari/GitNexus.git "$GITNEXUS_DIR"
cd "$GITNEXUS_DIR/gitnexus-shared" && npm install && npm run build
cd "$GITNEXUS_DIR/gitnexus-web" && npm install
fi
```
### 2. Patch the Web UI for Remote Access
The web UI defaults to `localhost:4747` for API calls. Patch it to use same-origin
so it works through a tunnel/proxy:
**File: `$GITNEXUS_DIR/gitnexus-web/src/config/ui-constants.ts`**
Change:
```typescript
export const DEFAULT_BACKEND_URL = 'http://localhost:4747';
```
To:
```typescript
export const DEFAULT_BACKEND_URL = typeof window !== 'undefined' && window.location.hostname !== 'localhost' ? window.location.origin : 'http://localhost:4747';
```
**File: `$GITNEXUS_DIR/gitnexus-web/vite.config.ts`**
Add `allowedHosts: true` inside the `server: { }` block (only needed if running dev
mode instead of production build):
```typescript
server: {
allowedHosts: true,
// ... existing config
},
```
Then build the production bundle:
```bash
cd "$GITNEXUS_DIR/gitnexus-web" && npx vite build
```
### 3. Index the Target Repo
```bash
cd /path/to/target-repo
npx gitnexus analyze --skip-agents-md
rm -rf .claude/ # remove Claude Code-specific artifacts
```
Add `--embeddings` for semantic search (slower — minutes instead of seconds).
The index lives in `.gitnexus/` inside the repo (auto-gitignored).
### 4. Create the Proxy Script
Write this to a file (e.g., `$GITNEXUS_DIR/proxy.mjs`). It serves the production
web UI and proxies `/api/*` to the GitNexus backend — same origin, no CORS issues,
no sudo, no nginx.
```javascript
import http from 'node:http';
import fs from 'node:fs';
import path from 'node:path';
const API_PORT = parseInt(process.env.API_PORT || '4747');
const DIST_DIR = process.argv[2] || './dist';
const PORT = parseInt(process.argv[3] || '8888');
const MIME = {
'.html': 'text/html', '.js': 'application/javascript', '.css': 'text/css',
'.json': 'application/json', '.png': 'image/png', '.svg': 'image/svg+xml',
'.ico': 'image/x-icon', '.woff2': 'font/woff2', '.woff': 'font/woff',
'.wasm': 'application/wasm',
};
function proxyToApi(req, res) {
const opts = {
hostname: '127.0.0.1', port: API_PORT,
path: req.url, method: req.method, headers: req.headers,
};
const proxy = http.request(opts, (upstream) => {
res.writeHead(upstream.statusCode, upstream.headers);
upstream.pipe(res, { end: true });
});
proxy.on('error', () => { res.writeHead(502); res.end('Backend unavailable'); });
req.pipe(proxy, { end: true });
}
function serveStatic(req, res) {
let filePath = path.join(DIST_DIR, req.url === '/' ? 'index.html' : req.url.split('?')[0]);
if (!fs.existsSync(filePath)) filePath = path.join(DIST_DIR, 'index.html');
const ext = path.extname(filePath);
const mime = MIME[ext] || 'application/octet-stream';
try {
const data = fs.readFileSync(filePath);
res.writeHead(200, { 'Content-Type': mime, 'Cache-Control': 'public, max-age=3600' });
res.end(data);
} catch { res.writeHead(404); res.end('Not found'); }
}
http.createServer((req, res) => {
if (req.url.startsWith('/api')) proxyToApi(req, res);
else serveStatic(req, res);
}).listen(PORT, () => console.log(`GitNexus proxy on http://localhost:${PORT}`));
```
### 5. Start the Services
```bash
# Terminal 1: GitNexus backend API
npx gitnexus serve &
# Terminal 2: Proxy (web UI + API on one port)
node "$GITNEXUS_DIR/proxy.mjs" "$GITNEXUS_DIR/gitnexus-web/dist" 8888 &
```
Verify: `curl -s http://localhost:8888/api/repos` should return the indexed repo(s).
### 6. Tunnel with Cloudflare (optional — for remote access)
```bash
# Install cloudflared if needed (no sudo)
if ! command -v cloudflared &>/dev/null; then
mkdir -p ~/.local/bin
curl -sL https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 \
-o ~/.local/bin/cloudflared
chmod +x ~/.local/bin/cloudflared
export PATH="$HOME/.local/bin:$PATH"
fi
# Start tunnel (--config /dev/null avoids conflicts with existing named tunnels)
cloudflared tunnel --config /dev/null --url http://localhost:8888 --no-autoupdate --protocol http2
```
The tunnel URL (e.g., `https://random-words.trycloudflare.com`) is printed to stderr.
Share it — anyone with the link can explore the graph.
### 7. Cleanup
```bash
# Stop services
pkill -f "gitnexus serve"
pkill -f "proxy.mjs"
pkill -f cloudflared
# Remove index from the target repo
cd /path/to/target-repo
npx gitnexus clean
rm -rf .claude/
```
## Pitfalls
- **`--config /dev/null` is required for cloudflared** if the user has an existing
named tunnel config at `~/.cloudflared/config.yml`. Without it, the catch-all
ingress rule in the config returns 404 for all quick tunnel requests.
- **Production build is mandatory for tunneling.** The Vite dev server blocks
non-localhost hosts by default (`allowedHosts`). The production build + Node
proxy avoids this entirely.
- **The web UI does NOT create `.claude/` or `CLAUDE.md`.** Those are created by
`npx gitnexus analyze`. Use `--skip-agents-md` to suppress the markdown files,
then `rm -rf .claude/` for the rest. These are Claude Code integrations that
hermes-agent users don't need.
- **Browser memory limit.** The web UI loads the entire graph into browser memory.
Repos with 5k+ files may be sluggish. 30k+ files will likely crash the tab.
- **Embeddings are optional.** `--embeddings` enables semantic search but takes
minutes on large repos. Skip it for quick exploration; add it if you want
natural language queries via the AI chat panel.
- **Multiple repos.** `gitnexus serve` serves ALL indexed repos. Index several
repos, start serve once, and the web UI lets you switch between them.
@@ -0,0 +1,92 @@
/**
* GitNexus reverse proxy serves production web UI + proxies /api/* to backend.
* Zero dependencies, Node.js built-ins only.
*
* Usage: node proxy.mjs <dist-dir> [port]
* dist-dir: path to gitnexus-web/dist (production build)
* port: listen port (default: 8888)
*
* Environment:
* API_PORT: GitNexus serve backend port (default: 4747)
*/
import http from 'node:http';
import fs from 'node:fs';
import path from 'node:path';
const API_PORT = parseInt(process.env.API_PORT || '4747');
const DIST_DIR = process.argv[2] || './dist';
const PORT = parseInt(process.argv[3] || '8888');
const MIME = {
'.html': 'text/html',
'.js': 'application/javascript',
'.css': 'text/css',
'.json': 'application/json',
'.png': 'image/png',
'.svg': 'image/svg+xml',
'.ico': 'image/x-icon',
'.woff2': 'font/woff2',
'.woff': 'font/woff',
'.wasm': 'application/wasm',
'.ttf': 'font/ttf',
'.map': 'application/json',
};
function proxyToApi(req, res) {
const opts = {
hostname: '127.0.0.1',
port: API_PORT,
path: req.url,
method: req.method,
headers: { ...req.headers, host: `127.0.0.1:${API_PORT}` },
};
const proxy = http.request(opts, (upstream) => {
res.writeHead(upstream.statusCode, upstream.headers);
upstream.pipe(res, { end: true });
});
proxy.on('error', () => {
res.writeHead(502, { 'Content-Type': 'text/plain' });
res.end('GitNexus backend unavailable — is `npx gitnexus serve` running?');
});
req.pipe(proxy, { end: true });
}
function serveStatic(req, res) {
const urlPath = req.url.split('?')[0];
let filePath = path.join(DIST_DIR, urlPath === '/' ? 'index.html' : urlPath);
// SPA fallback: if file doesn't exist and isn't a static asset, serve index.html
if (!fs.existsSync(filePath) && !path.extname(filePath)) {
filePath = path.join(DIST_DIR, 'index.html');
}
const ext = path.extname(filePath);
const mime = MIME[ext] || 'application/octet-stream';
try {
const data = fs.readFileSync(filePath);
res.writeHead(200, {
'Content-Type': mime,
'Cache-Control': ext === '.html' ? 'no-cache' : 'public, max-age=86400',
});
res.end(data);
} catch {
res.writeHead(404, { 'Content-Type': 'text/plain' });
res.end('Not found');
}
}
const server = http.createServer((req, res) => {
if (req.url.startsWith('/api')) {
proxyToApi(req, res);
} else {
serveStatic(req, res);
}
});
server.listen(PORT, () => {
console.log(`GitNexus proxy listening on http://localhost:${PORT}`);
console.log(` Web UI: http://localhost:${PORT}/`);
console.log(` API: http://localhost:${PORT}/api/repos`);
console.log(` Backend: http://127.0.0.1:${API_PORT}`);
});
+104
View File
@@ -211,3 +211,107 @@ class _ProviderCollector:
def register_hook(self, *args, **kwargs):
pass
def register_cli_command(self, *args, **kwargs):
pass # CLI registration happens via discover_plugin_cli_commands()
def _get_active_memory_provider() -> Optional[str]:
"""Read the active memory provider name from config.yaml.
Returns the provider name (e.g. ``"honcho"``) or None if no
external provider is configured. Lightweight only reads config,
no plugin loading.
"""
try:
from hermes_cli.config import load_config
config = load_config()
return config.get("memory", {}).get("provider") or None
except Exception:
return None
def discover_plugin_cli_commands() -> List[dict]:
"""Return CLI commands for the **active** memory plugin only.
Only one memory provider can be active at a time (set via
``memory.provider`` in config.yaml). This function reads that
value and only loads CLI registration for the matching plugin.
If no provider is active, no commands are registered.
Looks for a ``register_cli(subparser)`` function in the active
plugin's ``cli.py``. Returns a list of at most one dict with
keys: ``name``, ``help``, ``description``, ``setup_fn``,
``handler_fn``.
This is a lightweight scan it only imports ``cli.py``, not the
full plugin module. Safe to call during argparse setup before
any provider is loaded.
"""
results: List[dict] = []
if not _MEMORY_PLUGINS_DIR.is_dir():
return results
active_provider = _get_active_memory_provider()
if not active_provider:
return results
# Only look at the active provider's directory
plugin_dir = _MEMORY_PLUGINS_DIR / active_provider
if not plugin_dir.is_dir():
return results
cli_file = plugin_dir / "cli.py"
if not cli_file.exists():
return results
module_name = f"plugins.memory.{active_provider}.cli"
try:
# Import the CLI module (lightweight — no SDK needed)
if module_name in sys.modules:
cli_mod = sys.modules[module_name]
else:
spec = importlib.util.spec_from_file_location(
module_name, str(cli_file)
)
if not spec or not spec.loader:
return results
cli_mod = importlib.util.module_from_spec(spec)
sys.modules[module_name] = cli_mod
spec.loader.exec_module(cli_mod)
register_cli = getattr(cli_mod, "register_cli", None)
if not callable(register_cli):
return results
# Read metadata from plugin.yaml if available
help_text = f"Manage {active_provider} memory plugin"
description = ""
yaml_file = plugin_dir / "plugin.yaml"
if yaml_file.exists():
try:
import yaml
with open(yaml_file) as f:
meta = yaml.safe_load(f) or {}
desc = meta.get("description", "")
if desc:
help_text = desc
description = desc
except Exception:
pass
handler_fn = getattr(cli_mod, f"{active_provider}_command", None) or \
getattr(cli_mod, "honcho_command", None)
results.append({
"name": active_provider,
"help": help_text,
"description": description,
"setup_fn": register_cli,
"handler_fn": handler_fn,
"plugin": active_provider,
})
except Exception as e:
logger.debug("Failed to scan CLI for memory plugin '%s': %s", active_provider, e)
return results
+196 -11
View File
@@ -2,15 +2,18 @@
AI-native cross-session user modeling with dialectic Q&A, semantic search, peer cards, and persistent conclusions.
> **Honcho docs:** <https://docs.honcho.dev/v3/guides/integrations/hermes>
## Requirements
- `pip install honcho-ai`
- Honcho API key from [app.honcho.dev](https://app.honcho.dev)
- Honcho API key from [app.honcho.dev](https://app.honcho.dev), or a self-hosted instance
## Setup
```bash
hermes memory setup # select "honcho"
hermes honcho setup # full interactive wizard (cloud or local)
hermes memory setup # generic picker, also works
```
Or manually:
@@ -19,17 +22,199 @@ hermes config set memory.provider honcho
echo "HONCHO_API_KEY=your-key" >> ~/.hermes/.env
```
## Config
## Config Resolution
Config file: `$HERMES_HOME/honcho.json` (or `~/.honcho/config.json` legacy)
Config is read from the first file that exists:
Existing Honcho users: your config and data are preserved. Just set `memory.provider: honcho`.
| Priority | Path | Scope |
|----------|------|-------|
| 1 | `$HERMES_HOME/honcho.json` | Profile-local (isolated Hermes instances) |
| 2 | `~/.hermes/honcho.json` | Default profile (shared host blocks) |
| 3 | `~/.honcho/config.json` | Global (cross-app interop) |
Host key is derived from the active Hermes profile: `hermes` (default) or `hermes.<profile>`.
## Tools
| Tool | Description |
|------|-------------|
| `honcho_profile` | User's peer card key facts, no LLM |
| `honcho_search` | Semantic search over stored context |
| `honcho_context` | LLM-synthesized answer from memory |
| `honcho_conclude` | Write a fact about the user to memory |
| Tool | LLM call? | Description |
|------|-----------|-------------|
| `honcho_profile` | No | User's peer card -- key facts snapshot |
| `honcho_search` | No | Semantic search over stored context (800 tok default, 2000 max) |
| `honcho_context` | Yes | LLM-synthesized answer via dialectic reasoning |
| `honcho_conclude` | No | Write a persistent fact about the user |
Tool availability depends on `recallMode`: hidden in `context` mode, always present in `tools` and `hybrid`.
## Full Configuration Reference
### Identity & Connection
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `apiKey` | string | -- | root / host | API key. Falls back to `HONCHO_API_KEY` env var |
| `baseUrl` | string | -- | root | Base URL for self-hosted Honcho. Local URLs (`localhost`, `127.0.0.1`, `::1`) auto-skip API key auth |
| `environment` | string | `"production"` | root / host | SDK environment mapping |
| `enabled` | bool | auto | root / host | Master toggle. Auto-enables when `apiKey` or `baseUrl` present |
| `workspace` | string | host key | root / host | Honcho workspace ID |
| `peerName` | string | -- | root / host | User peer identity |
| `aiPeer` | string | host key | root / host | AI peer identity |
### Memory & Recall
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `recallMode` | string | `"hybrid"` | root / host | `"hybrid"` (auto-inject + tools), `"context"` (auto-inject only, tools hidden), `"tools"` (tools only, no injection). Legacy `"auto"` normalizes to `"hybrid"` |
| `observationMode` | string | `"directional"` | root / host | Shorthand preset: `"directional"` (all on) or `"unified"` (shared pool). Use `observation` object for granular control |
| `observation` | object | -- | root / host | Per-peer observation config (see below) |
#### Observation (granular)
Maps 1:1 to Honcho's per-peer `SessionPeerConfig`. Set at root or per host block -- each profile can have different observation settings. When present, overrides `observationMode` preset.
```json
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": true, "observeOthers": true }
}
```
| Field | Default | Description |
|-------|---------|-------------|
| `user.observeMe` | `true` | User peer self-observation (Honcho builds user representation) |
| `user.observeOthers` | `true` | User peer observes AI messages |
| `ai.observeMe` | `true` | AI peer self-observation (Honcho builds AI representation) |
| `ai.observeOthers` | `true` | AI peer observes user messages (enables cross-peer dialectic) |
Presets for `observationMode`:
- `"directional"` (default): all four booleans `true`
- `"unified"`: user `observeMe=true`, AI `observeOthers=true`, rest `false`
Per-profile example -- coder profile observes the user but user doesn't observe coder:
```json
"hosts": {
"hermes.coder": {
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
}
}
}
```
Settings changed in the [Honcho dashboard](https://app.honcho.dev) are synced back on session init.
### Write Behavior
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `writeFrequency` | string or int | `"async"` | root / host | `"async"` (background thread), `"turn"` (sync per turn), `"session"` (batch on end), or integer N (every N turns) |
| `saveMessages` | bool | `true` | root / host | Whether to persist messages to Honcho API |
### Session Resolution
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `sessionStrategy` | string | `"per-directory"` | root / host | `"per-directory"`, `"per-session"` (new each run), `"per-repo"` (git root name), `"global"` (single session) |
| `sessionPeerPrefix` | bool | `false` | root / host | Prepend peer name to session keys |
| `sessions` | object | `{}` | root | Manual directory-to-session-name mappings: `{"/path/to/project": "my-session"}` |
### Token Budgets & Dialectic
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `contextTokens` | int | SDK default | root / host | Token budget for `context()` API calls. Also gates prefetch truncation (tokens x 4 chars) |
| `dialecticReasoningLevel` | string | `"low"` | root / host | Base reasoning level for `peer.chat()`: `"minimal"`, `"low"`, `"medium"`, `"high"`, `"max"` |
| `dialecticDynamic` | bool | `true` | root / host | Auto-bump reasoning based on query length: `<120` chars = base level, `120-400` = +1, `>400` = +2 (capped at `"high"`). Set `false` to always use `dialecticReasoningLevel` as-is |
| `dialecticMaxChars` | int | `600` | root / host | Max chars of dialectic result injected into system prompt |
| `dialecticMaxInputChars` | int | `10000` | root / host | Max chars for dialectic query input to `peer.chat()`. Honcho cloud limit: 10k |
| `messageMaxChars` | int | `25000` | root / host | Max chars per message sent via `add_messages()`. Messages exceeding this are chunked with `[continued]` markers. Honcho cloud limit: 25k |
### Cost Awareness (Advanced)
These are read from the root config object, not the host block. Must be set manually in `honcho.json`.
| Key | Type | Default | Description |
|-----|------|---------|-------------|
| `injectionFrequency` | string | `"every-turn"` | `"every-turn"` or `"first-turn"` (inject context only on turn 0) |
| `contextCadence` | int | `1` | Minimum turns between `context()` API calls |
| `dialecticCadence` | int | `1` | Minimum turns between `peer.chat()` API calls |
| `reasoningLevelCap` | string | -- | Hard cap on auto-bumped reasoning: `"minimal"`, `"low"`, `"mid"`, `"high"` |
### Hardcoded Limits (Not Configurable)
| Limit | Value | Location |
|-------|-------|----------|
| Search tool max tokens | 2000 (hard cap), 800 (default) | `__init__.py` handle_tool_call |
| Peer card fetch tokens | 200 | `session.py` get_peer_card |
## Config Precedence
For every key, resolution order is: **host block > root > env var > default**.
Host key derivation: `HERMES_HONCHO_HOST` env > active profile (`hermes.<profile>`) > `"hermes"`.
## Environment Variables
| Variable | Fallback for |
|----------|-------------|
| `HONCHO_API_KEY` | `apiKey` |
| `HONCHO_BASE_URL` | `baseUrl` |
| `HONCHO_ENVIRONMENT` | `environment` |
| `HERMES_HONCHO_HOST` | Host key override |
## CLI Commands
| Command | Description |
|---------|-------------|
| `hermes honcho setup` | Full interactive setup wizard |
| `hermes honcho status` | Show resolved config for active profile |
| `hermes honcho enable` / `disable` | Toggle Honcho for active profile |
| `hermes honcho mode <mode>` | Change recall or observation mode |
| `hermes honcho peer --user <name>` | Update user peer name |
| `hermes honcho peer --ai <name>` | Update AI peer name |
| `hermes honcho tokens --context <N>` | Set context token budget |
| `hermes honcho tokens --dialectic <N>` | Set dialectic max chars |
| `hermes honcho map <name>` | Map current directory to a session name |
| `hermes honcho sync` | Create host blocks for all Hermes profiles |
## Example Config
```json
{
"apiKey": "your-key",
"workspace": "hermes",
"peerName": "eri",
"hosts": {
"hermes": {
"enabled": true,
"aiPeer": "hermes",
"workspace": "hermes",
"peerName": "eri",
"recallMode": "hybrid",
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": true, "observeOthers": true }
},
"writeFrequency": "async",
"sessionStrategy": "per-directory",
"dialecticReasoningLevel": "low",
"dialecticMaxChars": 600,
"saveMessages": true
},
"hermes.coder": {
"enabled": true,
"aiPeer": "coder",
"workspace": "hermes",
"peerName": "eri",
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
}
}
},
"sessions": {
"/home/user/myproject": "myproject-main"
}
}
```
+67 -51
View File
@@ -144,10 +144,6 @@ class HonchoMemoryProvider(MemoryProvider):
self._last_context_turn = -999
self._last_dialectic_turn = -999
# B2: peer_memory_mode gating (stub)
self._suppress_memory = False
self._suppress_user_profile = False
# Port #1957: lazy session init for tools-only mode
self._session_initialized = False
self._lazy_init_kwargs: Optional[dict] = None
@@ -187,9 +183,15 @@ class HonchoMemoryProvider(MemoryProvider):
def get_config_schema(self):
return [
{"key": "api_key", "description": "Honcho API key", "secret": True, "env_var": "HONCHO_API_KEY", "url": "https://app.honcho.dev"},
{"key": "base_url", "description": "Honcho base URL", "default": "https://api.honcho.dev"},
{"key": "baseUrl", "description": "Honcho base URL (for self-hosted)"},
]
def post_setup(self, hermes_home: str, config: dict) -> None:
"""Run the full Honcho setup wizard after provider selection."""
import types
from plugins.memory.honcho.cli import cmd_setup
cmd_setup(types.SimpleNamespace())
def initialize(self, session_id: str, **kwargs) -> None:
"""Initialize Honcho session manager.
@@ -233,48 +235,10 @@ class HonchoMemoryProvider(MemoryProvider):
except Exception as e:
logger.debug("Honcho cost-awareness config parse error: %s", e)
# ----- Port #1969: aiPeer sync from SOUL.md -----
try:
hermes_home = kwargs.get("hermes_home", "")
if hermes_home and not cfg.raw.get("aiPeer"):
soul_path = Path(hermes_home) / "SOUL.md"
if soul_path.exists():
soul_text = soul_path.read_text(encoding="utf-8").strip()
if soul_text:
# Try YAML frontmatter: "name: Foo"
first_line = soul_text.split("\n")[0].strip()
if first_line.startswith("---"):
# Look for name: in frontmatter
for line in soul_text.split("\n")[1:]:
line = line.strip()
if line == "---":
break
if line.lower().startswith("name:"):
name_val = line.split(":", 1)[1].strip().strip("\"'")
if name_val:
cfg.ai_peer = name_val
logger.debug("Honcho ai_peer set from SOUL.md: %s", name_val)
break
elif first_line.startswith("# "):
# Markdown heading: "# AgentName"
name_val = first_line[2:].strip()
if name_val:
cfg.ai_peer = name_val
logger.debug("Honcho ai_peer set from SOUL.md heading: %s", name_val)
except Exception as e:
logger.debug("Honcho SOUL.md ai_peer sync failed: %s", e)
# ----- B2: peer_memory_mode gating (stub) -----
try:
ai_mode = cfg.peer_memory_mode(cfg.ai_peer)
user_mode = cfg.peer_memory_mode(cfg.peer_name or "user")
# "honcho" means Honcho owns memory; suppress built-in
self._suppress_memory = (ai_mode == "honcho")
self._suppress_user_profile = (user_mode == "honcho")
logger.debug("Honcho peer_memory_mode: ai=%s (suppress_memory=%s), user=%s (suppress_user_profile=%s)",
ai_mode, self._suppress_memory, user_mode, self._suppress_user_profile)
except Exception as e:
logger.debug("Honcho peer_memory_mode check failed: %s", e)
# ----- Port #1969: aiPeer sync from SOUL.md — REMOVED -----
# SOUL.md is persona content, not identity config. aiPeer should
# only come from honcho.json (host block or root) or the default.
# See scratch/memory-plugin-ux-specs.md #10 for rationale.
# ----- Port #1957: lazy session init for tools-only mode -----
if self._recall_mode == "tools":
@@ -547,19 +511,71 @@ class HonchoMemoryProvider(MemoryProvider):
"""Track turn count for cadence and injection_frequency logic."""
self._turn_count = turn_number
@staticmethod
def _chunk_message(content: str, limit: int) -> list[str]:
"""Split content into chunks that fit within the Honcho message limit.
Splits at paragraph boundaries when possible, falling back to
sentence boundaries, then word boundaries. Each continuation
chunk is prefixed with "[continued] " so Honcho's representation
engine can reconstruct the full message.
"""
if len(content) <= limit:
return [content]
prefix = "[continued] "
prefix_len = len(prefix)
chunks = []
remaining = content
first = True
while remaining:
effective = limit if first else limit - prefix_len
if len(remaining) <= effective:
chunks.append(remaining if first else prefix + remaining)
break
segment = remaining[:effective]
# Try paragraph break, then sentence, then word
cut = segment.rfind("\n\n")
if cut < effective * 0.3:
cut = segment.rfind(". ")
if cut >= 0:
cut += 2 # include the period and space
if cut < effective * 0.3:
cut = segment.rfind(" ")
if cut < effective * 0.3:
cut = effective # hard cut
chunk = remaining[:cut].rstrip()
remaining = remaining[cut:].lstrip()
if not first:
chunk = prefix + chunk
chunks.append(chunk)
first = False
return chunks
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Record the conversation turn in Honcho (non-blocking)."""
"""Record the conversation turn in Honcho (non-blocking).
Messages exceeding the Honcho API limit (default 25k chars) are
split into multiple messages with continuation markers.
"""
if self._cron_skipped:
return
if not self._manager or not self._session_key:
return
msg_limit = self._config.message_max_chars if self._config else 25000
def _sync():
try:
session = self._manager.get_or_create(self._session_key)
session.add_message("user", user_content[:4000])
session.add_message("assistant", assistant_content[:4000])
# Flush to Honcho API
for chunk in self._chunk_message(user_content, msg_limit):
session.add_message("user", chunk)
for chunk in self._chunk_message(assistant_content, msg_limit):
session.add_message("assistant", chunk)
self._manager._flush_session(session)
except Exception as e:
logger.debug("Honcho sync_turn failed: %s", e)
+229 -89
View File
@@ -41,9 +41,10 @@ def clone_honcho_for_profile(profile_name: str) -> bool:
# Clone settings from default block, override identity fields
new_block = {}
for key in ("memoryMode", "recallMode", "writeFrequency", "sessionStrategy",
for key in ("recallMode", "writeFrequency", "sessionStrategy",
"sessionPeerPrefix", "contextTokens", "dialecticReasoningLevel",
"dialecticMaxChars", "saveMessages"):
"dialecticDynamic", "dialecticMaxChars", "messageMaxChars",
"dialecticMaxInputChars", "saveMessages", "observation"):
val = default_block.get(key)
if val is not None:
new_block[key] = val
@@ -106,8 +107,10 @@ def cmd_enable(args) -> None:
# If this is a new profile host block with no settings, clone from default
if not block.get("aiPeer"):
default_block = cfg.get("hosts", {}).get(HOST, {})
for key in ("memoryMode", "recallMode", "writeFrequency", "sessionStrategy",
"contextTokens", "dialecticReasoningLevel", "dialecticMaxChars"):
for key in ("recallMode", "writeFrequency", "sessionStrategy",
"contextTokens", "dialecticReasoningLevel", "dialecticDynamic",
"dialecticMaxChars", "messageMaxChars", "dialecticMaxInputChars",
"saveMessages", "observation"):
val = default_block.get(key)
if val is not None and key not in block:
block[key] = val
@@ -337,91 +340,135 @@ def cmd_setup(args) -> None:
if not _ensure_sdk_installed():
return
# All writes go to the active host block — root keys are managed by
# the user or the honcho CLI only.
hosts = cfg.setdefault("hosts", {})
hermes_host = hosts.setdefault(_host_key(), {})
# API key — shared credential, lives at root so all hosts can read it
current_key = cfg.get("apiKey", "")
masked = f"...{current_key[-8:]}" if len(current_key) > 8 else ("set" if current_key else "not set")
print(f" Current API key: {masked}")
new_key = _prompt("Honcho API key (leave blank to keep current)", secret=True)
if new_key:
cfg["apiKey"] = new_key
# --- 1. Cloud or local? ---
print(" Deployment:")
print(" cloud -- Honcho cloud (api.honcho.dev)")
print(" local -- self-hosted Honcho server")
current_deploy = "local" if any(
h in (cfg.get("baseUrl") or cfg.get("base_url") or "")
for h in ("localhost", "127.0.0.1", "::1")
) else "cloud"
deploy = _prompt("Cloud or local?", default=current_deploy)
is_local = deploy.lower() in ("local", "l")
effective_key = cfg.get("apiKey", "")
if not effective_key:
print("\n No API key configured. Get your API key at https://app.honcho.dev")
print(" Run 'hermes honcho setup' again once you have a key.\n")
return
# Clean up legacy snake_case key
cfg.pop("base_url", None)
# Peer name
if is_local:
# --- Local: ask for base URL, skip or clear API key ---
current_url = cfg.get("baseUrl") or ""
new_url = _prompt("Base URL", default=current_url or "http://localhost:8000")
if new_url:
cfg["baseUrl"] = new_url
# For local no-auth, the SDK must not send an API key.
# We keep the key in config (for cloud switching later) but
# the client should skip auth when baseUrl is local.
current_key = cfg.get("apiKey", "")
if current_key:
print(f"\n API key present in config (kept for cloud/hybrid use).")
print(" Local connections will skip auth automatically.")
else:
print("\n No API key set. Local no-auth ready.")
else:
# --- Cloud: set default base URL, require API key ---
cfg.pop("baseUrl", None) # cloud uses SDK default
current_key = cfg.get("apiKey", "")
masked = f"...{current_key[-8:]}" if len(current_key) > 8 else ("set" if current_key else "not set")
print(f"\n Current API key: {masked}")
new_key = _prompt("Honcho API key (leave blank to keep current)", secret=True)
if new_key:
cfg["apiKey"] = new_key
if not cfg.get("apiKey"):
print("\n No API key configured. Get yours at https://app.honcho.dev")
print(" Run 'hermes honcho setup' again once you have a key.\n")
return
# --- 3. Identity ---
current_peer = hermes_host.get("peerName") or cfg.get("peerName", "")
new_peer = _prompt("Your name (user peer)", default=current_peer or os.getenv("USER", "user"))
if new_peer:
hermes_host["peerName"] = new_peer
current_ai = hermes_host.get("aiPeer") or cfg.get("aiPeer", "hermes")
new_ai = _prompt("AI peer name", default=current_ai)
if new_ai:
hermes_host["aiPeer"] = new_ai
current_workspace = hermes_host.get("workspace") or cfg.get("workspace", "hermes")
new_workspace = _prompt("Workspace ID", default=current_workspace)
if new_workspace:
hermes_host["workspace"] = new_workspace
hermes_host.setdefault("aiPeer", _host_key())
# Memory mode
current_mode = hermes_host.get("memoryMode") or cfg.get("memoryMode", "hybrid")
print("\n Memory mode options:")
print(" hybrid — write to both Honcho and local MEMORY.md (default)")
print(" honcho — Honcho only, skip MEMORY.md writes")
new_mode = _prompt("Memory mode", default=current_mode)
if new_mode in ("hybrid", "honcho"):
hermes_host["memoryMode"] = new_mode
# --- 4. Observation mode ---
current_obs = hermes_host.get("observationMode") or cfg.get("observationMode", "directional")
print("\n Observation mode:")
print(" directional -- all observations on, each AI peer builds its own view (default)")
print(" unified -- shared pool, user observes self, AI observes others only")
new_obs = _prompt("Observation mode", default=current_obs)
if new_obs in ("unified", "directional"):
hermes_host["observationMode"] = new_obs
else:
hermes_host["memoryMode"] = "hybrid"
hermes_host["observationMode"] = "directional"
# Write frequency
# --- 5. Write frequency ---
current_wf = str(hermes_host.get("writeFrequency") or cfg.get("writeFrequency", "async"))
print("\n Write frequency options:")
print(" async background thread, no token cost (recommended)")
print(" turn sync write after every turn")
print(" session batch write at session end only")
print(" N write every N turns (e.g. 5)")
print("\n Write frequency:")
print(" async -- background thread, no token cost (recommended)")
print(" turn -- sync write after every turn")
print(" session -- batch write at session end only")
print(" N -- write every N turns (e.g. 5)")
new_wf = _prompt("Write frequency", default=current_wf)
try:
hermes_host["writeFrequency"] = int(new_wf)
except (ValueError, TypeError):
hermes_host["writeFrequency"] = new_wf if new_wf in ("async", "turn", "session") else "async"
# Recall mode
# --- 6. Recall mode ---
_raw_recall = hermes_host.get("recallMode") or cfg.get("recallMode", "hybrid")
current_recall = "hybrid" if _raw_recall not in ("hybrid", "context", "tools") else _raw_recall
print("\n Recall mode options:")
print(" hybrid auto-injected context + Honcho tools available (default)")
print(" context auto-injected context only, Honcho tools hidden")
print(" tools Honcho tools only, no auto-injected context")
print("\n Recall mode:")
print(" hybrid -- auto-injected context + Honcho tools available (default)")
print(" context -- auto-injected context only, Honcho tools hidden")
print(" tools -- Honcho tools only, no auto-injected context")
new_recall = _prompt("Recall mode", default=current_recall)
if new_recall in ("hybrid", "context", "tools"):
hermes_host["recallMode"] = new_recall
# Session strategy
# --- 7. Session strategy ---
current_strat = hermes_host.get("sessionStrategy") or cfg.get("sessionStrategy", "per-directory")
print("\n Session strategy options:")
print(" per-directory one session per working directory (default)")
print(" per-session new Honcho session each run, named by Hermes session ID")
print(" per-repo one session per git repository (uses repo root name)")
print(" global single session across all directories")
print("\n Session strategy:")
print(" per-directory -- one session per working directory (default)")
print(" per-session -- new Honcho session each run")
print(" per-repo -- one session per git repository")
print(" global -- single session across all directories")
new_strat = _prompt("Session strategy", default=current_strat)
if new_strat in ("per-session", "per-repo", "per-directory", "global"):
hermes_host["sessionStrategy"] = new_strat
hermes_host.setdefault("enabled", True)
hermes_host["enabled"] = True
hermes_host.setdefault("saveMessages", True)
_write_config(cfg)
print(f"\n Config written to {write_path}")
# Test connection
# --- Auto-enable Honcho as memory provider in config.yaml ---
try:
from hermes_cli.config import load_config, save_config
hermes_config = load_config()
hermes_config.setdefault("memory", {})["provider"] = "honcho"
save_config(hermes_config)
print(" Memory provider set to 'honcho' in config.yaml")
except Exception as e:
print(f" Could not auto-enable in config.yaml: {e}")
print(" Run: hermes config set memory.provider honcho")
# --- Test connection ---
print(" Testing connection... ", end="", flush=True)
try:
from plugins.memory.honcho.client import HonchoClientConfig, get_honcho_client, reset_honcho_client
@@ -436,24 +483,23 @@ def cmd_setup(args) -> None:
print("\n Honcho is ready.")
print(f" Session: {hcfg.resolve_session_name()}")
print(f" Workspace: {hcfg.workspace_id}")
print(f" Peer: {hcfg.peer_name}")
_mode_str = hcfg.memory_mode
if hcfg.peer_memory_modes:
overrides = ", ".join(f"{k}={v}" for k, v in hcfg.peer_memory_modes.items())
_mode_str = f"{hcfg.memory_mode} (peers: {overrides})"
print(f" Mode: {_mode_str}")
print(f" User: {hcfg.peer_name}")
print(f" AI peer: {hcfg.ai_peer}")
print(f" Observe: {hcfg.observation_mode}")
print(f" Frequency: {hcfg.write_frequency}")
print(f" Recall: {hcfg.recall_mode}")
print(f" Sessions: {hcfg.session_strategy}")
print("\n Honcho tools available in chat:")
print(" honcho_context ask Honcho a question about you (LLM-synthesized)")
print(" honcho_search semantic search over your history (no LLM)")
print(" honcho_profile — your peer card, key facts (no LLM)")
print(" honcho_conclude persist a user fact to Honcho memory (no LLM)")
print(" honcho_context -- ask Honcho about the user (LLM-synthesized)")
print(" honcho_search -- semantic search over history (no LLM)")
print(" honcho_profile -- peer card, key facts (no LLM)")
print(" honcho_conclude -- persist a user fact to memory (no LLM)")
print("\n Other commands:")
print(" hermes honcho status show full config")
print(" hermes honcho mode — show or change memory mode")
print(" hermes honcho tokens — show or set token budgets")
print(" hermes honcho identity — seed or show AI peer identity")
print(" hermes honcho map <name> map this directory to a session name\n")
print(" hermes honcho status -- show full config")
print(" hermes honcho mode -- change recall/observation mode")
print(" hermes honcho tokens -- tune context and dialectic budgets")
print(" hermes honcho peer -- update peer names")
print(" hermes honcho map <name> -- map this directory to a session name\n")
def _active_profile_name() -> str:
@@ -546,11 +592,7 @@ def cmd_status(args) -> None:
print(f" User peer: {hcfg.peer_name or 'not set'}")
print(f" Session key: {hcfg.resolve_session_name()}")
print(f" Recall mode: {hcfg.recall_mode}")
print(f" Memory mode: {hcfg.memory_mode}")
if hcfg.peer_memory_modes:
print(" Per-peer modes:")
for peer, mode in hcfg.peer_memory_modes.items():
print(f" {peer}: {mode}")
print(f" Observation: user(me={hcfg.user_observe_me},others={hcfg.user_observe_others}) ai(me={hcfg.ai_observe_me},others={hcfg.ai_observe_others})")
print(f" Write freq: {hcfg.write_frequency}")
if hcfg.enabled and (hcfg.api_key or hcfg.base_url):
@@ -611,24 +653,22 @@ def _cmd_status_all() -> None:
cfg = _read_config()
active = _active_profile_name()
print(f"\nHoncho profiles ({len(rows)})\n" + "" * 60)
print(f" {'Profile':<14} {'Host':<22} {'Enabled':<9} {'Mode':<9} {'Recall':<9} {'Write'}")
print(f" {'' * 14} {'' * 22} {'' * 9} {'' * 9} {'' * 9} {'' * 9}")
print(f"\nHoncho profiles ({len(rows)})\n" + "" * 55)
print(f" {'Profile':<14} {'Host':<22} {'Enabled':<9} {'Recall':<9} {'Write'}")
print(f" {'' * 14} {'' * 22} {'' * 9} {'' * 9} {'' * 9}")
for name, host, block in rows:
enabled = block.get("enabled", cfg.get("enabled"))
if enabled is None:
# Auto-enable check: any credentials?
has_creds = bool(cfg.get("apiKey") or os.environ.get("HONCHO_API_KEY"))
enabled = has_creds if block else False
enabled_str = "yes" if enabled else "no"
mode = block.get("memoryMode") or cfg.get("memoryMode", "hybrid")
recall = block.get("recallMode") or cfg.get("recallMode", "hybrid")
write = block.get("writeFrequency") or cfg.get("writeFrequency", "async")
marker = " *" if name == active else ""
print(f" {name + marker:<14} {host:<22} {enabled_str:<9} {mode:<9} {recall:<9} {write}")
print(f" {name + marker:<14} {host:<22} {enabled_str:<9} {recall:<9} {write}")
print(f"\n * active profile\n")
@@ -751,25 +791,26 @@ def cmd_peer(args) -> None:
def cmd_mode(args) -> None:
"""Show or set the memory mode."""
"""Show or set the recall mode."""
MODES = {
"hybrid": "write to both Honcho and local MEMORY.md (default)",
"honcho": "Honcho only — MEMORY.md writes disabled",
"hybrid": "auto-injected context + Honcho tools available (default)",
"context": "auto-injected context only, Honcho tools hidden",
"tools": "Honcho tools only, no auto-injected context",
}
cfg = _read_config()
mode_arg = getattr(args, "mode", None)
if mode_arg is None:
current = (
(cfg.get("hosts") or {}).get(_host_key(), {}).get("memoryMode")
or cfg.get("memoryMode")
(cfg.get("hosts") or {}).get(_host_key(), {}).get("recallMode")
or cfg.get("recallMode")
or "hybrid"
)
print("\nHoncho memory mode\n" + "" * 40)
print("\nHoncho recall mode\n" + "" * 40)
for m, desc in MODES.items():
marker = " " if m == current else ""
print(f" {m:<8} {desc}{marker}")
print("\n Set with: hermes honcho mode [hybrid|honcho]\n")
marker = " <-" if m == current else ""
print(f" {m:<10} {desc}{marker}")
print(f"\n Set with: hermes honcho mode [hybrid|context|tools]\n")
return
if mode_arg not in MODES:
@@ -778,9 +819,9 @@ def cmd_mode(args) -> None:
host = _host_key()
label = f"[{host}] " if host != "hermes" else ""
cfg.setdefault("hosts", {}).setdefault(host, {})["memoryMode"] = mode_arg
cfg.setdefault("hosts", {}).setdefault(host, {})["recallMode"] = mode_arg
_write_config(cfg)
print(f" {label}Memory mode -> {mode_arg} ({MODES[mode_arg]})\n")
print(f" {label}Recall mode -> {mode_arg} ({MODES[mode_arg]})\n")
def cmd_tokens(args) -> None:
@@ -1135,8 +1176,15 @@ def honcho_command(args) -> None:
_profile_override = getattr(args, "target_profile", None)
sub = getattr(args, "honcho_command", None)
if sub == "setup" or sub is None:
cmd_setup(args)
if sub == "setup":
# Redirect to memory setup — honcho setup goes through the unified path
print("\n Honcho is configured via the memory provider system.")
print(" Running 'hermes memory setup'...\n")
from hermes_cli.memory_setup import cmd_setup_provider
cmd_setup_provider("honcho")
return
elif sub is None:
cmd_status(args)
elif sub == "status":
cmd_status(args)
elif sub == "peers":
@@ -1163,4 +1211,96 @@ def honcho_command(args) -> None:
cmd_sync(args)
else:
print(f" Unknown honcho command: {sub}")
print(" Available: setup, status, sessions, map, peer, mode, tokens, identity, migrate, enable, disable, sync\n")
print(" Available: status, sessions, map, peer, mode, tokens, identity, migrate, enable, disable, sync\n")
def register_cli(subparser) -> None:
"""Build the ``hermes honcho`` argparse subcommand tree.
Called by the plugin CLI registration system during argparse setup.
The *subparser* is the parser for ``hermes honcho``.
"""
import argparse
subparser.add_argument(
"--target-profile", metavar="NAME", dest="target_profile",
help="Target a specific profile's Honcho config without switching",
)
subs = subparser.add_subparsers(dest="honcho_command")
subs.add_parser(
"setup",
help="Initial Honcho setup (redirects to hermes memory setup)",
)
status_parser = subs.add_parser(
"status", help="Show current Honcho config and connection status",
)
status_parser.add_argument(
"--all", action="store_true", help="Show config overview across all profiles",
)
subs.add_parser("peers", help="Show peer identities across all profiles")
subs.add_parser("sessions", help="List known Honcho session mappings")
map_parser = subs.add_parser(
"map", help="Map current directory to a Honcho session name (no arg = list mappings)",
)
map_parser.add_argument(
"session_name", nargs="?", default=None,
help="Session name to associate with this directory. Omit to list current mappings.",
)
peer_parser = subs.add_parser(
"peer", help="Show or update peer names and dialectic reasoning level",
)
peer_parser.add_argument("--user", metavar="NAME", help="Set user peer name")
peer_parser.add_argument("--ai", metavar="NAME", help="Set AI peer name")
peer_parser.add_argument(
"--reasoning", metavar="LEVEL",
choices=("minimal", "low", "medium", "high", "max"),
help="Set default dialectic reasoning level (minimal/low/medium/high/max)",
)
mode_parser = subs.add_parser(
"mode", help="Show or set recall mode (hybrid/context/tools)",
)
mode_parser.add_argument(
"mode", nargs="?", metavar="MODE",
choices=("hybrid", "context", "tools"),
help="Recall mode to set (hybrid/context/tools). Omit to show current.",
)
tokens_parser = subs.add_parser(
"tokens", help="Show or set token budget for context and dialectic",
)
tokens_parser.add_argument(
"--context", type=int, metavar="N",
help="Max tokens Honcho returns from session.context() per turn",
)
tokens_parser.add_argument(
"--dialectic", type=int, metavar="N",
help="Max chars of dialectic result to inject into system prompt",
)
identity_parser = subs.add_parser(
"identity", help="Seed or show the AI peer's Honcho identity representation",
)
identity_parser.add_argument(
"file", nargs="?", default=None,
help="Path to file to seed from (e.g. SOUL.md). Omit to show usage.",
)
identity_parser.add_argument(
"--show", action="store_true",
help="Show current AI peer representation from Honcho",
)
subs.add_parser(
"migrate",
help="Step-by-step migration guide from openclaw-honcho to Hermes Honcho",
)
subs.add_parser("enable", help="Enable Honcho for the active profile")
subs.add_parser("disable", help="Disable Honcho for the active profile")
subs.add_parser("sync", help="Sync Honcho config to all existing profiles")
subparser.set_defaults(func=honcho_command)
+107 -56
View File
@@ -85,6 +85,15 @@ def _normalize_recall_mode(val: str) -> str:
return val if val in _VALID_RECALL_MODES else "hybrid"
def _resolve_bool(host_val, root_val, *, default: bool) -> bool:
"""Resolve a bool config field: host wins, then root, then default."""
if host_val is not None:
return bool(host_val)
if root_val is not None:
return bool(root_val)
return default
_VALID_OBSERVATION_MODES = {"unified", "directional"}
_OBSERVATION_MODE_ALIASES = {"shared": "unified", "separate": "directional", "cross": "directional"}
@@ -92,31 +101,52 @@ _OBSERVATION_MODE_ALIASES = {"shared": "unified", "separate": "directional", "cr
def _normalize_observation_mode(val: str) -> str:
"""Normalize observation mode values."""
val = _OBSERVATION_MODE_ALIASES.get(val, val)
return val if val in _VALID_OBSERVATION_MODES else "unified"
return val if val in _VALID_OBSERVATION_MODES else "directional"
def _resolve_memory_mode(
global_val: str | dict,
host_val: str | dict | None,
# Observation presets — granular booleans derived from legacy string mode.
# Explicit per-peer config always wins over presets.
_OBSERVATION_PRESETS = {
"directional": {
"user_observe_me": True, "user_observe_others": True,
"ai_observe_me": True, "ai_observe_others": True,
},
"unified": {
"user_observe_me": True, "user_observe_others": False,
"ai_observe_me": False, "ai_observe_others": True,
},
}
def _resolve_observation(
mode: str,
observation_obj: dict | None,
) -> dict:
"""Parse memoryMode (string or object) into memory_mode + peer_memory_modes.
"""Resolve per-peer observation booleans.
Resolution order: host-level wins over global.
String form: applies as the default for all peers.
Object form: { "default": "hybrid", "hermes": "honcho", ... }
"default" key sets the fallback; other keys are per-peer overrides.
Config forms:
String shorthand: ``"observationMode": "directional"``
Granular object: ``"observation": {"user": {"observeMe": true, "observeOthers": true},
"ai": {"observeMe": true, "observeOthers": false}}``
Granular fields override preset defaults.
"""
# Pick the winning value (host beats global)
val = host_val if host_val is not None else global_val
preset = _OBSERVATION_PRESETS.get(mode, _OBSERVATION_PRESETS["directional"])
if not observation_obj or not isinstance(observation_obj, dict):
return dict(preset)
user_block = observation_obj.get("user") or {}
ai_block = observation_obj.get("ai") or {}
return {
"user_observe_me": user_block.get("observeMe", preset["user_observe_me"]),
"user_observe_others": user_block.get("observeOthers", preset["user_observe_others"]),
"ai_observe_me": ai_block.get("observeMe", preset["ai_observe_me"]),
"ai_observe_others": ai_block.get("observeOthers", preset["ai_observe_others"]),
}
if isinstance(val, dict):
default = val.get("default", "hybrid")
overrides = {k: v for k, v in val.items() if k != "default"}
else:
default = str(val) if val else "hybrid"
overrides = {}
return {"memory_mode": default, "peer_memory_modes": overrides}
@dataclass
@@ -132,22 +162,9 @@ class HonchoClientConfig:
# Identity
peer_name: str | None = None
ai_peer: str = "hermes"
linked_hosts: list[str] = field(default_factory=list)
# Toggles
enabled: bool = False
save_messages: bool = True
# memoryMode: default for all peers. "hybrid" / "honcho"
memory_mode: str = "hybrid"
# Per-peer overrides — any named Honcho peer. Override memory_mode when set.
# Config object form: "memoryMode": { "default": "hybrid", "hermes": "honcho" }
peer_memory_modes: dict[str, str] = field(default_factory=dict)
def peer_memory_mode(self, peer_name: str) -> str:
"""Return the effective memory mode for a named peer.
Resolution: per-peer override global memory_mode default.
"""
return self.peer_memory_modes.get(peer_name, self.memory_mode)
# Write frequency: "async" (background thread), "turn" (sync per turn),
# "session" (flush on session end), or int (every N turns)
write_frequency: str | int = "async"
@@ -155,19 +172,32 @@ class HonchoClientConfig:
context_tokens: int | None = None
# Dialectic (peer.chat) settings
# reasoning_level: "minimal" | "low" | "medium" | "high" | "max"
# Used as the default; prefetch_dialectic may bump it dynamically.
dialectic_reasoning_level: str = "low"
# dynamic: auto-bump reasoning level based on query length
# true — low->medium (120+ chars), low->high (400+ chars), capped at "high"
# false — always use dialecticReasoningLevel as-is
dialectic_dynamic: bool = True
# Max chars of dialectic result to inject into Hermes system prompt
dialectic_max_chars: int = 600
# Honcho API limits — configurable for self-hosted instances
# Max chars per message sent via add_messages() (Honcho cloud: 25000)
message_max_chars: int = 25000
# Max chars for dialectic query input to peer.chat() (Honcho cloud: 10000)
dialectic_max_input_chars: int = 10000
# Recall mode: how memory retrieval works when Honcho is active.
# "hybrid" — auto-injected context + Honcho tools available (model decides)
# "context" — auto-injected context only, Honcho tools removed
# "tools" — Honcho tools only, no auto-injected context
recall_mode: str = "hybrid"
# Observation mode: how Honcho peers observe each other.
# "unified" — user peer observes self; all agents share one observation pool
# "directional" — AI peer observes user; each agent keeps its own view
observation_mode: str = "unified"
# Observation mode: legacy string shorthand ("directional" or "unified").
# Kept for backward compat; granular per-peer booleans below are preferred.
observation_mode: str = "directional"
# Per-peer observation booleans — maps 1:1 to Honcho's SessionPeerConfig.
# Resolved from "observation" object in config, falling back to observation_mode preset.
user_observe_me: bool = True
user_observe_others: bool = True
ai_observe_me: bool = True
ai_observe_others: bool = True
# Session resolution
session_strategy: str = "per-directory"
session_peer_prefix: bool = False
@@ -238,8 +268,6 @@ class HonchoClientConfig:
or raw.get("aiPeer")
or resolved_host
)
linked_hosts = host_block.get("linkedHosts", [])
api_key = (
host_block.get("apiKey")
or raw.get("apiKey")
@@ -253,6 +281,7 @@ class HonchoClientConfig:
base_url = (
raw.get("baseUrl")
or raw.get("base_url")
or os.environ.get("HONCHO_BASE_URL", "").strip()
or None
)
@@ -303,13 +332,8 @@ class HonchoClientConfig:
base_url=base_url,
peer_name=host_block.get("peerName") or raw.get("peerName"),
ai_peer=ai_peer,
linked_hosts=linked_hosts,
enabled=enabled,
save_messages=save_messages,
**_resolve_memory_mode(
raw.get("memoryMode", "hybrid"),
host_block.get("memoryMode"),
),
write_frequency=write_frequency,
context_tokens=host_block.get("contextTokens") or raw.get("contextTokens"),
dialectic_reasoning_level=(
@@ -317,20 +341,48 @@ class HonchoClientConfig:
or raw.get("dialecticReasoningLevel")
or "low"
),
dialectic_dynamic=_resolve_bool(
host_block.get("dialecticDynamic"),
raw.get("dialecticDynamic"),
default=True,
),
dialectic_max_chars=int(
host_block.get("dialecticMaxChars")
or raw.get("dialecticMaxChars")
or 600
),
message_max_chars=int(
host_block.get("messageMaxChars")
or raw.get("messageMaxChars")
or 25000
),
dialectic_max_input_chars=int(
host_block.get("dialecticMaxInputChars")
or raw.get("dialecticMaxInputChars")
or 10000
),
recall_mode=_normalize_recall_mode(
host_block.get("recallMode")
or raw.get("recallMode")
or "hybrid"
),
# Migration guard: existing configs without an explicit
# observationMode keep the old "unified" default so users
# aren't silently switched to full bidirectional observation.
# New installations (no host block, no credentials) get
# "directional" (all observations on) as the new default.
observation_mode=_normalize_observation_mode(
host_block.get("observationMode")
or raw.get("observationMode")
or "unified"
or ("unified" if _explicitly_configured else "directional")
),
**_resolve_observation(
_normalize_observation_mode(
host_block.get("observationMode")
or raw.get("observationMode")
or ("unified" if _explicitly_configured else "directional")
),
host_block.get("observation") or raw.get("observation"),
),
session_strategy=session_strategy,
session_peer_prefix=session_peer_prefix,
@@ -412,17 +464,6 @@ class HonchoClientConfig:
# global: single session across all directories
return self.workspace_id
def get_linked_workspaces(self) -> list[str]:
"""Resolve linked host keys to workspace names."""
hosts = self.raw.get("hosts", {})
workspaces = []
for host_key in self.linked_hosts:
block = hosts.get(host_key, {})
ws = block.get("workspace") or host_key
if ws != self.workspace_id:
workspaces.append(ws)
return workspaces
_honcho_client: Honcho | None = None
@@ -478,12 +519,22 @@ def get_honcho_client(config: HonchoClientConfig | None = None) -> Honcho:
# Local Honcho instances don't require an API key, but the SDK
# expects a non-empty string. Use a placeholder for local URLs.
# For local: only use config.api_key if the host block explicitly
# sets apiKey (meaning the user wants local auth). Otherwise skip
# the stored key -- it's likely a cloud key that would break local.
_is_local = resolved_base_url and (
"localhost" in resolved_base_url
or "127.0.0.1" in resolved_base_url
or "::1" in resolved_base_url
)
effective_api_key = config.api_key or ("local" if _is_local else None)
if _is_local:
# Check if the host block has its own apiKey (explicit local auth)
_raw = config.raw or {}
_host_block = (_raw.get("hosts") or {}).get(config.host, {})
_host_has_key = bool(_host_block.get("apiKey"))
effective_api_key = config.api_key if _host_has_key else "local"
else:
effective_api_key = config.api_key
kwargs: dict = {
"workspace_id": config.workspace_id,
+143 -87
View File
@@ -86,7 +86,7 @@ class HonchoSessionManager:
honcho: Optional Honcho client. If not provided, uses the singleton.
context_tokens: Max tokens for context() calls (None = Honcho default).
config: HonchoClientConfig from global config (provides peer_name, ai_peer,
write_frequency, memory_mode, etc.).
write_frequency, observation, etc.).
"""
self._honcho = honcho
self._context_tokens = context_tokens
@@ -107,11 +107,25 @@ class HonchoSessionManager:
self._dialectic_reasoning_level: str = (
config.dialectic_reasoning_level if config else "low"
)
self._dialectic_dynamic: bool = (
config.dialectic_dynamic if config else True
)
self._dialectic_max_chars: int = (
config.dialectic_max_chars if config else 600
)
self._observation_mode: str = (
config.observation_mode if config else "unified"
config.observation_mode if config else "directional"
)
# Per-peer observation booleans (granular, from config)
self._user_observe_me: bool = config.user_observe_me if config else True
self._user_observe_others: bool = config.user_observe_others if config else True
self._ai_observe_me: bool = config.ai_observe_me if config else True
self._ai_observe_others: bool = config.ai_observe_others if config else True
self._message_max_chars: int = (
config.message_max_chars if config else 25000
)
self._dialectic_max_input_chars: int = (
config.dialectic_max_input_chars if config else 10000
)
# Async write queue — started lazily on first enqueue
@@ -162,20 +176,43 @@ class HonchoSessionManager:
session = self.honcho.session(session_id)
# Configure peer observation settings based on observation_mode.
# Unified: user peer observes self, AI peer passive — all agents share
# one observation pool via user self-observations.
# Directional: AI peer observes user — each agent keeps its own view.
# Configure per-peer observation from granular booleans.
# These map 1:1 to Honcho's SessionPeerConfig toggles.
try:
from honcho.session import SessionPeerConfig
if self._observation_mode == "directional":
user_config = SessionPeerConfig(observe_me=True, observe_others=False)
ai_config = SessionPeerConfig(observe_me=False, observe_others=True)
else: # unified (default)
user_config = SessionPeerConfig(observe_me=True, observe_others=False)
ai_config = SessionPeerConfig(observe_me=False, observe_others=False)
user_config = SessionPeerConfig(
observe_me=self._user_observe_me,
observe_others=self._user_observe_others,
)
ai_config = SessionPeerConfig(
observe_me=self._ai_observe_me,
observe_others=self._ai_observe_others,
)
session.add_peers([(user_peer, user_config), (assistant_peer, ai_config)])
# Sync back: server-side config (set via Honcho UI) wins over
# local defaults. Read the effective config after add_peers.
# Note: observation booleans are manager-scoped, not per-session.
# Last session init wins. Fine for CLI; gateway should scope per-session.
try:
server_user = session.get_peer_configuration(user_peer)
server_ai = session.get_peer_configuration(assistant_peer)
if server_user.observe_me is not None:
self._user_observe_me = server_user.observe_me
if server_user.observe_others is not None:
self._user_observe_others = server_user.observe_others
if server_ai.observe_me is not None:
self._ai_observe_me = server_ai.observe_me
if server_ai.observe_others is not None:
self._ai_observe_others = server_ai.observe_others
logger.debug(
"Honcho observation synced from server: user(me=%s,others=%s) ai(me=%s,others=%s)",
self._user_observe_me, self._user_observe_others,
self._ai_observe_me, self._ai_observe_others,
)
except Exception as e:
logger.debug("Honcho get_peer_configuration failed (using local config): %s", e)
except Exception as e:
logger.warning(
"Honcho session '%s' add_peers failed (non-fatal): %s",
@@ -451,17 +488,22 @@ class HonchoSessionManager:
def _dynamic_reasoning_level(self, query: str) -> str:
"""
Pick a reasoning level based on message complexity.
Pick a reasoning level for a dialectic query.
Uses the configured default as a floor; bumps up for longer or
more complex messages so Honcho applies more inference where it matters.
When dialecticDynamic is true (default), auto-bumps based on query
length so Honcho applies more inference where it matters:
< 120 chars default (typically "low")
120400 chars one level above default (cap at "high")
> 400 chars two levels above default (cap at "high")
< 120 chars -> configured default (typically "low")
120-400 chars -> +1 level above default (cap at "high")
> 400 chars -> +2 levels above default (cap at "high")
"max" is never selected automatically reserve it for explicit config.
"max" is never selected automatically -- reserve it for explicit config.
When dialecticDynamic is false, always returns the configured level.
"""
if not self._dialectic_dynamic:
return self._dialectic_reasoning_level
levels = self._REASONING_LEVELS
default_idx = levels.index(self._dialectic_reasoning_level) if self._dialectic_reasoning_level in levels else 1
n = len(query)
@@ -501,11 +543,15 @@ class HonchoSessionManager:
if not session:
return ""
# Guard: truncate query to Honcho's dialectic input limit
if len(query) > self._dialectic_max_input_chars:
query = query[:self._dialectic_max_input_chars].rsplit(" ", 1)[0]
level = reasoning_level or self._dynamic_reasoning_level(query)
try:
if self._observation_mode == "directional":
# AI peer queries about the user (cross-observation)
if self._ai_observe_others:
# AI peer can observe user — use cross-observation routing
if peer == "ai":
ai_peer_obj = self._get_or_create_peer(session.assistant_peer_id)
result = ai_peer_obj.chat(query, reasoning_level=level) or ""
@@ -517,7 +563,7 @@ class HonchoSessionManager:
reasoning_level=level,
) or ""
else:
# Unified: user peer queries self, or AI peer queries self
# AI can't observe others — each peer queries self
peer_id = session.assistant_peer_id if peer == "ai" else session.user_peer_id
target_peer = self._get_or_create_peer(peer_id)
result = target_peer.chat(query, reasoning_level=level) or ""
@@ -618,35 +664,19 @@ class HonchoSessionManager:
if not session:
return {}
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return {}
result: dict[str, str] = {}
try:
ctx = honcho_session.context(
summary=False,
tokens=self._context_tokens,
peer_target=session.user_peer_id,
peer_perspective=session.assistant_peer_id,
)
card = ctx.peer_card or []
result["representation"] = ctx.peer_representation or ""
result["card"] = "\n".join(card) if isinstance(card, list) else str(card)
user_ctx = self._fetch_peer_context(session.user_peer_id)
result["representation"] = user_ctx["representation"]
result["card"] = "\n".join(user_ctx["card"])
except Exception as e:
logger.warning("Failed to fetch user context from Honcho: %s", e)
# Also fetch AI peer's own representation so Hermes knows itself.
try:
ai_ctx = honcho_session.context(
summary=False,
tokens=self._context_tokens,
peer_target=session.assistant_peer_id,
peer_perspective=session.user_peer_id,
)
ai_card = ai_ctx.peer_card or []
result["ai_representation"] = ai_ctx.peer_representation or ""
result["ai_card"] = "\n".join(ai_card) if isinstance(ai_card, list) else str(ai_card)
ai_ctx = self._fetch_peer_context(session.assistant_peer_id)
result["ai_representation"] = ai_ctx["representation"]
result["ai_card"] = "\n".join(ai_ctx["card"])
except Exception as e:
logger.debug("Failed to fetch AI peer context from Honcho: %s", e)
@@ -823,6 +853,64 @@ class HonchoSessionManager:
return uploaded
@staticmethod
def _normalize_card(card: Any) -> list[str]:
"""Normalize Honcho card payloads into a plain list of strings."""
if not card:
return []
if isinstance(card, list):
return [str(item) for item in card if item]
return [str(card)]
def _fetch_peer_card(self, peer_id: str) -> list[str]:
"""Fetch a peer card directly from the peer object.
This avoids relying on session.context(), which can return an empty
peer_card for per-session messaging sessions even when the peer itself
has a populated card.
"""
peer = self._get_or_create_peer(peer_id)
getter = getattr(peer, "get_card", None)
if callable(getter):
return self._normalize_card(getter())
legacy_getter = getattr(peer, "card", None)
if callable(legacy_getter):
return self._normalize_card(legacy_getter())
return []
def _fetch_peer_context(self, peer_id: str, search_query: str | None = None) -> dict[str, Any]:
"""Fetch representation + peer card directly from a peer object."""
peer = self._get_or_create_peer(peer_id)
representation = ""
card: list[str] = []
try:
ctx = peer.context(search_query=search_query) if search_query else peer.context()
representation = (
getattr(ctx, "representation", None)
or getattr(ctx, "peer_representation", None)
or ""
)
card = self._normalize_card(getattr(ctx, "peer_card", None))
except Exception as e:
logger.debug("Direct peer.context() failed for '%s': %s", peer_id, e)
if not representation:
try:
representation = peer.representation() or ""
except Exception as e:
logger.debug("Direct peer.representation() failed for '%s': %s", peer_id, e)
if not card:
try:
card = self._fetch_peer_card(peer_id)
except Exception as e:
logger.debug("Direct peer card fetch failed for '%s': %s", peer_id, e)
return {"representation": representation, "card": card}
def get_peer_card(self, session_key: str) -> list[str]:
"""
Fetch the user peer's card — a curated list of key facts.
@@ -835,19 +923,8 @@ class HonchoSessionManager:
if not session:
return []
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return []
try:
ctx = honcho_session.context(
summary=False,
tokens=200,
peer_target=session.user_peer_id,
peer_perspective=session.assistant_peer_id,
)
card = ctx.peer_card or []
return card if isinstance(card, list) else [str(card)]
return self._fetch_peer_card(session.user_peer_id)
except Exception as e:
logger.debug("Failed to fetch peer card from Honcho: %s", e)
return []
@@ -872,25 +949,14 @@ class HonchoSessionManager:
if not session:
return ""
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return ""
try:
ctx = honcho_session.context(
summary=False,
tokens=max_tokens,
peer_target=session.user_peer_id,
peer_perspective=session.assistant_peer_id,
search_query=query,
)
ctx = self._fetch_peer_context(session.user_peer_id, search_query=query)
parts = []
if ctx.peer_representation:
parts.append(ctx.peer_representation)
card = ctx.peer_card or []
if ctx["representation"]:
parts.append(ctx["representation"])
card = ctx["card"] or []
if card:
facts = card if isinstance(card, list) else [str(card)]
parts.append("\n".join(f"- {f}" for f in facts))
parts.append("\n".join(f"- {f}" for f in card))
return "\n\n".join(parts)
except Exception as e:
logger.debug("Honcho search_context failed: %s", e)
@@ -919,12 +985,12 @@ class HonchoSessionManager:
return False
try:
if self._observation_mode == "directional":
if self._ai_observe_others:
# AI peer creates conclusion about user (cross-observation)
assistant_peer = self._get_or_create_peer(session.assistant_peer_id)
conclusions_scope = assistant_peer.conclusions_of(session.user_peer_id)
else:
# Unified: user peer creates self-conclusion
# AI can't observe others — user peer creates self-conclusion
user_peer = self._get_or_create_peer(session.user_peer_id)
conclusions_scope = user_peer.conclusions_of(session.user_peer_id)
@@ -994,21 +1060,11 @@ class HonchoSessionManager:
if not session:
return {"representation": "", "card": ""}
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return {"representation": "", "card": ""}
try:
ctx = honcho_session.context(
summary=False,
tokens=self._context_tokens,
peer_target=session.assistant_peer_id,
peer_perspective=session.user_peer_id,
)
ai_card = ctx.peer_card or []
ctx = self._fetch_peer_context(session.assistant_peer_id)
return {
"representation": ctx.peer_representation or "",
"card": "\n".join(ai_card) if isinstance(ai_card, list) else str(ai_card),
"representation": ctx["representation"] or "",
"card": "\n".join(ctx["card"]),
}
except Exception as e:
logger.debug("Failed to fetch AI representation: %s", e)
+29 -11
View File
@@ -207,6 +207,23 @@ class Mem0MemoryProvider(MemoryProvider):
self._agent_id = self._config.get("agent_id", "hermes")
self._rerank = self._config.get("rerank", True)
def _read_filters(self) -> Dict[str, Any]:
"""Filters for search/get_all — scoped to user only for cross-session recall."""
return {"user_id": self._user_id}
def _write_filters(self) -> Dict[str, Any]:
"""Filters for add — scoped to user + agent for attribution."""
return {"user_id": self._user_id, "agent_id": self._agent_id}
@staticmethod
def _unwrap_results(response: Any) -> list:
"""Normalize Mem0 API response — v2 wraps results in {"results": [...]}."""
if isinstance(response, dict):
return response.get("results", [])
if isinstance(response, list):
return response
return []
def system_prompt_block(self) -> str:
return (
"# Mem0 Memory\n"
@@ -232,12 +249,12 @@ class Mem0MemoryProvider(MemoryProvider):
def _run():
try:
client = self._get_client()
results = client.search(
results = self._unwrap_results(client.search(
query=query,
user_id=self._user_id,
filters=self._read_filters(),
rerank=self._rerank,
top_k=5,
)
))
if results:
lines = [r.get("memory", "") for r in results if r.get("memory")]
with self._prefetch_lock:
@@ -262,7 +279,7 @@ class Mem0MemoryProvider(MemoryProvider):
{"role": "user", "content": user_content},
{"role": "assistant", "content": assistant_content},
]
client.add(messages, user_id=self._user_id, agent_id=self._agent_id)
client.add(messages, **self._write_filters())
self._record_success()
except Exception as e:
self._record_failure()
@@ -291,7 +308,7 @@ class Mem0MemoryProvider(MemoryProvider):
if tool_name == "mem0_profile":
try:
memories = client.get_all(user_id=self._user_id)
memories = self._unwrap_results(client.get_all(filters=self._read_filters()))
self._record_success()
if not memories:
return json.dumps({"result": "No memories stored yet."})
@@ -308,10 +325,12 @@ class Mem0MemoryProvider(MemoryProvider):
rerank = args.get("rerank", False)
top_k = min(int(args.get("top_k", 10)), 50)
try:
results = client.search(
query=query, user_id=self._user_id,
rerank=rerank, top_k=top_k,
)
results = self._unwrap_results(client.search(
query=query,
filters=self._read_filters(),
rerank=rerank,
top_k=top_k,
))
self._record_success()
if not results:
return json.dumps({"result": "No relevant memories found."})
@@ -328,8 +347,7 @@ class Mem0MemoryProvider(MemoryProvider):
try:
client.add(
[{"role": "user", "content": conclusion}],
user_id=self._user_id,
agent_id=self._agent_id,
**self._write_filters(),
infer=False,
)
self._record_success()
+40 -2
View File
@@ -23,6 +23,7 @@ Capabilities:
from __future__ import annotations
import atexit
import json
import logging
import os
@@ -37,6 +38,30 @@ _DEFAULT_ENDPOINT = "http://127.0.0.1:1933"
_TIMEOUT = 30.0
# ---------------------------------------------------------------------------
# Process-level atexit safety net — ensures pending sessions are committed
# even if shutdown_memory_provider is never called (e.g. gateway crash,
# SIGKILL, or exception in _async_flush_memories preventing shutdown).
# ---------------------------------------------------------------------------
_last_active_provider: Optional["OpenVikingMemoryProvider"] = None
def _atexit_commit_sessions():
"""Fire on_session_end for the last active provider on process exit."""
global _last_active_provider
provider = _last_active_provider
if provider is None:
return
_last_active_provider = None
try:
provider.on_session_end([])
except Exception:
pass # best-effort at shutdown time
atexit.register(_atexit_commit_sessions)
# ---------------------------------------------------------------------------
# HTTP helper — uses httpx to avoid requiring the openviking SDK
# ---------------------------------------------------------------------------
@@ -277,6 +302,10 @@ class OpenVikingMemoryProvider(MemoryProvider):
logger.warning("httpx not installed — OpenViking plugin disabled")
self._client = None
# Register as the last active provider for atexit safety net
global _last_active_provider
_last_active_provider = self
def system_prompt_block(self) -> str:
if not self._client:
return ""
@@ -387,13 +416,18 @@ class OpenVikingMemoryProvider(MemoryProvider):
OpenViking automatically extracts 6 categories of memories:
profile, preferences, entities, events, cases, and patterns.
"""
if not self._client or self._turn_count == 0:
if not self._client:
return
# Wait for any pending sync to finish first
# Wait for any pending sync to finish first — do this before the
# turn_count check so the last turn's messages are flushed even if
# the count hasn't been incremented yet.
if self._sync_thread and self._sync_thread.is_alive():
self._sync_thread.join(timeout=10.0)
if self._turn_count == 0:
return
try:
self._client.post(f"/api/v1/sessions/{self._session_id}/commit")
logger.info("OpenViking session %s committed (%d turns)", self._session_id, self._turn_count)
@@ -449,6 +483,10 @@ class OpenVikingMemoryProvider(MemoryProvider):
for t in (self._sync_thread, self._prefetch_thread):
if t and t.is_alive():
t.join(timeout=5.0)
# Clear atexit reference so it doesn't double-commit
global _last_active_provider
if _last_active_provider is self:
_last_active_provider = None
# -- Tool implementations ------------------------------------------------
+630 -167
View File
@@ -1,29 +1,45 @@
"""RetainDB memory plugin — MemoryProvider interface.
Cross-session memory via RetainDB cloud API. Durable write-behind queue,
semantic search with deduplication, and user profile retrieval.
Cross-session memory via RetainDB cloud API.
Original PR #2732 by Alinxus, adapted to MemoryProvider ABC.
Features:
- Correct API routes for all operations
- Durable SQLite write-behind queue (crash-safe, async ingest)
- Semantic search + user profile retrieval
- Context query with deduplication overlay
- Dialectic synthesis (LLM-powered user understanding, prefetched each turn)
- Agent self-model (persona + instructions from SOUL.md, prefetched each turn)
- Shared file store tools (upload, list, read, ingest, delete)
- Explicit memory tools (profile, search, context, remember, forget)
Config via environment variables:
RETAINDB_API_KEY API key (required)
RETAINDB_BASE_URL API endpoint (default: https://api.retaindb.com)
RETAINDB_PROJECT Project identifier (default: hermes)
Config (env vars or hermes config.yaml under retaindb:):
RETAINDB_API_KEY API key (required)
RETAINDB_BASE_URL API endpoint (default: https://api.retaindb.com)
RETAINDB_PROJECT Project identifier (optional defaults to "default")
"""
from __future__ import annotations
import hashlib
import json
import logging
import os
import queue
import re
import sqlite3
import threading
import time
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List
from urllib.parse import quote
from agent.memory_provider import MemoryProvider
logger = logging.getLogger(__name__)
_DEFAULT_BASE_URL = "https://api.retaindb.com"
_ASYNC_SHUTDOWN = object()
# ---------------------------------------------------------------------------
@@ -32,16 +48,13 @@ _DEFAULT_BASE_URL = "https://api.retaindb.com"
PROFILE_SCHEMA = {
"name": "retaindb_profile",
"description": "Get the user's stable profile — preferences, facts, and patterns.",
"description": "Get the user's stable profile — preferences, facts, and patterns recalled from long-term memory.",
"parameters": {"type": "object", "properties": {}, "required": []},
}
SEARCH_SCHEMA = {
"name": "retaindb_search",
"description": (
"Semantic search across stored memories. Returns ranked results "
"with relevance scores."
),
"description": "Semantic search across stored memories. Returns ranked results with relevance scores.",
"parameters": {
"type": "object",
"properties": {
@@ -54,7 +67,7 @@ SEARCH_SCHEMA = {
CONTEXT_SCHEMA = {
"name": "retaindb_context",
"description": "Synthesized 'what matters now' context block for the current task.",
"description": "Synthesized context block — what matters most for the current task, pulled from long-term memory.",
"parameters": {
"type": "object",
"properties": {
@@ -66,20 +79,17 @@ CONTEXT_SCHEMA = {
REMEMBER_SCHEMA = {
"name": "retaindb_remember",
"description": "Persist an explicit fact or preference to long-term memory.",
"description": "Persist an explicit fact, preference, or decision to long-term memory.",
"parameters": {
"type": "object",
"properties": {
"content": {"type": "string", "description": "The fact to remember."},
"memory_type": {
"type": "string",
"enum": ["preference", "fact", "decision", "context"],
"description": "Category (default: fact).",
},
"importance": {
"type": "number",
"description": "Importance 0-1 (default: 0.5).",
"enum": ["factual", "preference", "goal", "instruction", "event", "opinion"],
"description": "Category (default: factual).",
},
"importance": {"type": "number", "description": "Importance 0-1 (default: 0.7)."},
},
"required": ["content"],
},
@@ -97,23 +107,368 @@ FORGET_SCHEMA = {
},
}
FILE_UPLOAD_SCHEMA = {
"name": "retaindb_upload_file",
"description": "Upload a file to the shared RetainDB file store. Returns an rdb:// URI any agent can reference.",
"parameters": {
"type": "object",
"properties": {
"local_path": {"type": "string", "description": "Local file path to upload."},
"remote_path": {"type": "string", "description": "Destination path, e.g. /reports/q1.pdf"},
"scope": {"type": "string", "enum": ["USER", "PROJECT", "ORG"], "description": "Access scope (default: PROJECT)."},
"ingest": {"type": "boolean", "description": "Also extract memories from file after upload (default: false)."},
},
"required": ["local_path"],
},
}
FILE_LIST_SCHEMA = {
"name": "retaindb_list_files",
"description": "List files in the shared file store.",
"parameters": {
"type": "object",
"properties": {
"prefix": {"type": "string", "description": "Path prefix to filter by, e.g. /reports/"},
"limit": {"type": "integer", "description": "Max results (default: 50)."},
},
"required": [],
},
}
FILE_READ_SCHEMA = {
"name": "retaindb_read_file",
"description": "Read the text content of a stored file by its file ID.",
"parameters": {
"type": "object",
"properties": {
"file_id": {"type": "string", "description": "File ID returned from upload or list."},
},
"required": ["file_id"],
},
}
FILE_INGEST_SCHEMA = {
"name": "retaindb_ingest_file",
"description": "Chunk, embed, and extract memories from a stored file. Makes its contents searchable.",
"parameters": {
"type": "object",
"properties": {
"file_id": {"type": "string", "description": "File ID to ingest."},
},
"required": ["file_id"],
},
}
FILE_DELETE_SCHEMA = {
"name": "retaindb_delete_file",
"description": "Delete a stored file.",
"parameters": {
"type": "object",
"properties": {
"file_id": {"type": "string", "description": "File ID to delete."},
},
"required": ["file_id"],
},
}
# ---------------------------------------------------------------------------
# MemoryProvider implementation
# HTTP client
# ---------------------------------------------------------------------------
class _Client:
def __init__(self, api_key: str, base_url: str, project: str):
self.api_key = api_key
self.base_url = re.sub(r"/+$", "", base_url)
self.project = project
def _headers(self, path: str) -> dict:
token = self.api_key.replace("Bearer ", "").strip()
h = {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
"x-sdk-runtime": "hermes-plugin",
}
if path.startswith("/v1/memory") or path.startswith("/v1/context"):
h["X-API-Key"] = token
return h
def request(self, method: str, path: str, *, params=None, json_body=None, timeout: float = 8.0) -> Any:
import requests
url = f"{self.base_url}{path}"
resp = requests.request(
method.upper(), url,
params=params,
json=json_body if method.upper() not in {"GET", "DELETE"} else None,
headers=self._headers(path),
timeout=timeout,
)
try:
payload = resp.json()
except Exception:
payload = resp.text
if not resp.ok:
msg = ""
if isinstance(payload, dict):
msg = str(payload.get("message") or payload.get("error") or "")
raise RuntimeError(f"RetainDB {method} {path} failed ({resp.status_code}): {msg or payload}")
return payload
# ── Memory ────────────────────────────────────────────────────────────────
def query_context(self, user_id: str, session_id: str, query: str, max_tokens: int = 1200) -> dict:
return self.request("POST", "/v1/context/query", json_body={
"project": self.project,
"query": query,
"user_id": user_id,
"session_id": session_id,
"include_memories": True,
"max_tokens": max_tokens,
})
def search(self, user_id: str, session_id: str, query: str, top_k: int = 8) -> dict:
return self.request("POST", "/v1/memory/search", json_body={
"project": self.project,
"query": query,
"user_id": user_id,
"session_id": session_id,
"top_k": top_k,
"include_pending": True,
})
def get_profile(self, user_id: str) -> dict:
try:
return self.request("GET", f"/v1/memory/profile/{quote(user_id, safe='')}", params={"project": self.project, "include_pending": "true"})
except Exception:
return self.request("GET", "/v1/memories", params={"project": self.project, "user_id": user_id, "limit": "200"})
def add_memory(self, user_id: str, session_id: str, content: str, memory_type: str = "factual", importance: float = 0.7) -> dict:
try:
return self.request("POST", "/v1/memory", json_body={
"project": self.project, "content": content, "memory_type": memory_type,
"user_id": user_id, "session_id": session_id, "importance": importance, "write_mode": "sync",
}, timeout=5.0)
except Exception:
return self.request("POST", "/v1/memories", json_body={
"project": self.project, "content": content, "memory_type": memory_type,
"user_id": user_id, "session_id": session_id, "importance": importance,
}, timeout=5.0)
def delete_memory(self, memory_id: str) -> dict:
try:
return self.request("DELETE", f"/v1/memory/{quote(memory_id, safe='')}", timeout=5.0)
except Exception:
return self.request("DELETE", f"/v1/memories/{quote(memory_id, safe='')}", timeout=5.0)
def ingest_session(self, user_id: str, session_id: str, messages: list, timeout: float = 15.0) -> dict:
return self.request("POST", "/v1/memory/ingest/session", json_body={
"project": self.project, "session_id": session_id, "user_id": user_id,
"messages": messages, "write_mode": "sync",
}, timeout=timeout)
def ask_user(self, user_id: str, query: str, reasoning_level: str = "low") -> dict:
return self.request("POST", f"/v1/memory/profile/{quote(user_id, safe='')}/ask", json_body={
"project": self.project, "query": query, "reasoning_level": reasoning_level,
}, timeout=8.0)
def get_agent_model(self, agent_id: str) -> dict:
return self.request("GET", f"/v1/memory/agent/{quote(agent_id, safe='')}/model", params={"project": self.project}, timeout=4.0)
def seed_agent_identity(self, agent_id: str, content: str, source: str = "soul_md") -> dict:
return self.request("POST", f"/v1/memory/agent/{quote(agent_id, safe='')}/seed", json_body={
"project": self.project, "content": content, "source": source,
}, timeout=20.0)
# ── Files ─────────────────────────────────────────────────────────────────
def upload_file(self, data: bytes, filename: str, remote_path: str, mime_type: str, scope: str, project_id: str | None) -> dict:
import io
import requests
url = f"{self.base_url}/v1/files"
token = self.api_key.replace("Bearer ", "").strip()
headers = {"Authorization": f"Bearer {token}", "x-sdk-runtime": "hermes-plugin"}
fields = {"path": remote_path, "scope": scope.upper()}
if project_id:
fields["project_id"] = project_id
resp = requests.post(url, files={"file": (filename, io.BytesIO(data), mime_type)}, data=fields, headers=headers, timeout=30)
resp.raise_for_status()
return resp.json()
def list_files(self, prefix: str | None = None, limit: int = 50) -> dict:
params: dict = {"limit": limit}
if prefix:
params["prefix"] = prefix
return self.request("GET", "/v1/files", params=params)
def get_file(self, file_id: str) -> dict:
return self.request("GET", f"/v1/files/{quote(file_id, safe='')}")
def read_file_content(self, file_id: str) -> bytes:
import requests
token = self.api_key.replace("Bearer ", "").strip()
url = f"{self.base_url}/v1/files/{quote(file_id, safe='')}/content"
resp = requests.get(url, headers={"Authorization": f"Bearer {token}", "x-sdk-runtime": "hermes-plugin"}, timeout=30, allow_redirects=True)
resp.raise_for_status()
return resp.content
def ingest_file(self, file_id: str, user_id: str | None = None, agent_id: str | None = None) -> dict:
body: dict = {}
if user_id:
body["user_id"] = user_id
if agent_id:
body["agent_id"] = agent_id
return self.request("POST", f"/v1/files/{quote(file_id, safe='')}/ingest", json_body=body, timeout=60.0)
def delete_file(self, file_id: str) -> dict:
return self.request("DELETE", f"/v1/files/{quote(file_id, safe='')}", timeout=5.0)
# ---------------------------------------------------------------------------
# Durable write-behind queue
# ---------------------------------------------------------------------------
class _WriteQueue:
"""SQLite-backed async write queue. Survives crashes — pending rows replay on startup."""
def __init__(self, client: _Client, db_path: Path):
self._client = client
self._db_path = db_path
self._q: queue.Queue = queue.Queue()
self._thread = threading.Thread(target=self._loop, name="retaindb-writer", daemon=True)
self._db_path.parent.mkdir(parents=True, exist_ok=True)
# Thread-local connection cache — one connection per thread, reused.
self._local = threading.local()
self._init_db()
self._thread.start()
# Replay any rows left from a previous crash
for row_id, user_id, session_id, msgs_json in self._pending_rows():
self._q.put((row_id, user_id, session_id, json.loads(msgs_json)))
def _get_conn(self) -> sqlite3.Connection:
"""Return a cached connection for the current thread."""
conn = getattr(self._local, "conn", None)
if conn is None:
conn = sqlite3.connect(str(self._db_path), timeout=30)
conn.row_factory = sqlite3.Row
self._local.conn = conn
return conn
def _init_db(self) -> None:
conn = self._get_conn()
conn.execute("""CREATE TABLE IF NOT EXISTS pending (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT, session_id TEXT, messages_json TEXT,
created_at TEXT, last_error TEXT
)""")
conn.commit()
def _pending_rows(self) -> list:
conn = self._get_conn()
return conn.execute("SELECT id, user_id, session_id, messages_json FROM pending ORDER BY id ASC LIMIT 200").fetchall()
def enqueue(self, user_id: str, session_id: str, messages: list) -> None:
now = datetime.now(timezone.utc).isoformat()
conn = self._get_conn()
cur = conn.execute(
"INSERT INTO pending (user_id, session_id, messages_json, created_at) VALUES (?,?,?,?)",
(user_id, session_id, json.dumps(messages, ensure_ascii=False), now),
)
row_id = cur.lastrowid
conn.commit()
self._q.put((row_id, user_id, session_id, messages))
def _flush_row(self, row_id: int, user_id: str, session_id: str, messages: list) -> None:
try:
self._client.ingest_session(user_id, session_id, messages)
conn = self._get_conn()
conn.execute("DELETE FROM pending WHERE id = ?", (row_id,))
conn.commit()
except Exception as exc:
logger.warning("RetainDB ingest failed (will retry): %s", exc)
conn = self._get_conn()
conn.execute("UPDATE pending SET last_error = ? WHERE id = ?", (str(exc), row_id))
conn.commit()
time.sleep(2)
def _loop(self) -> None:
while True:
try:
item = self._q.get(timeout=5)
if item is _ASYNC_SHUTDOWN:
break
self._flush_row(*item)
except queue.Empty:
continue
except Exception as exc:
logger.error("RetainDB writer error: %s", exc)
def shutdown(self) -> None:
self._q.put(_ASYNC_SHUTDOWN)
self._thread.join(timeout=10)
# ---------------------------------------------------------------------------
# Overlay formatter
# ---------------------------------------------------------------------------
def _build_overlay(profile: dict, query_result: dict, local_entries: list[str] | None = None) -> str:
def _compact(s: str) -> str:
return re.sub(r"\s+", " ", str(s or "")).strip()[:320]
def _norm(s: str) -> str:
return re.sub(r"[^a-z0-9 ]", "", _compact(s).lower())
seen: list[str] = [_norm(e) for e in (local_entries or []) if _norm(e)]
profile_items: list[str] = []
for m in list((profile or {}).get("memories") or [])[:5]:
c = _compact((m or {}).get("content") or "")
n = _norm(c)
if c and n not in seen:
seen.append(n)
profile_items.append(c)
query_items: list[str] = []
for r in list((query_result or {}).get("results") or [])[:5]:
c = _compact((r or {}).get("content") or "")
n = _norm(c)
if c and n not in seen:
seen.append(n)
query_items.append(c)
if not profile_items and not query_items:
return ""
lines = ["[RetainDB Context]", "Profile:"]
lines += [f"- {i}" for i in profile_items] or ["- None"]
lines.append("Relevant memories:")
lines += [f"- {i}" for i in query_items] or ["- None"]
return "\n".join(lines)
# ---------------------------------------------------------------------------
# Main plugin class
# ---------------------------------------------------------------------------
class RetainDBMemoryProvider(MemoryProvider):
"""RetainDB cloud memory with write-behind queue and semantic search."""
"""RetainDB cloud memory — durable queue, semantic search, dialectic synthesis, shared files."""
def __init__(self):
self._api_key = ""
self._base_url = _DEFAULT_BASE_URL
self._project = "hermes"
self._user_id = ""
self._prefetch_result = ""
self._prefetch_lock = threading.Lock()
self._prefetch_thread = None
self._sync_thread = None
self._client: _Client | None = None
self._queue: _WriteQueue | None = None
self._user_id = "default"
self._session_id = ""
self._agent_id = "hermes"
self._lock = threading.Lock()
# Prefetch caches
self._context_result = ""
self._dialectic_result = ""
self._agent_model: dict = {}
# Prefetch thread tracking — prevents accumulation on rapid calls
self._prefetch_threads: list[threading.Thread] = []
# ── Core identity ──────────────────────────────────────────────────────
@property
def name(self) -> str:
@@ -122,179 +477,287 @@ class RetainDBMemoryProvider(MemoryProvider):
def is_available(self) -> bool:
return bool(os.environ.get("RETAINDB_API_KEY"))
def get_config_schema(self):
def get_config_schema(self) -> List[Dict[str, Any]]:
return [
{"key": "api_key", "description": "RetainDB API key", "secret": True, "required": True, "env_var": "RETAINDB_API_KEY", "url": "https://retaindb.com"},
{"key": "base_url", "description": "API endpoint", "default": "https://api.retaindb.com"},
{"key": "project", "description": "Project identifier", "default": "hermes"},
{"key": "base_url", "description": "API endpoint", "default": _DEFAULT_BASE_URL},
{"key": "project", "description": "Project identifier (optional — uses 'default' project if not set)", "default": ""},
]
def _headers(self) -> dict:
return {
"Authorization": f"Bearer {self._api_key}",
"Content-Type": "application/json",
}
def _api(self, method: str, path: str, **kwargs):
"""Make an API call to RetainDB."""
import requests
url = f"{self._base_url}{path}"
resp = requests.request(method, url, headers=self._headers(), timeout=30, **kwargs)
resp.raise_for_status()
return resp.json()
# ── Lifecycle ──────────────────────────────────────────────────────────
def initialize(self, session_id: str, **kwargs) -> None:
self._api_key = os.environ.get("RETAINDB_API_KEY", "")
self._base_url = os.environ.get("RETAINDB_BASE_URL", _DEFAULT_BASE_URL)
self._user_id = kwargs.get("user_id", "default")
self._session_id = session_id
api_key = os.environ.get("RETAINDB_API_KEY", "")
base_url = re.sub(r"/+$", "", os.environ.get("RETAINDB_BASE_URL", _DEFAULT_BASE_URL))
# Derive profile-scoped project name so different profiles don't
# share server-side memory. Explicit RETAINDB_PROJECT always wins.
explicit_project = os.environ.get("RETAINDB_PROJECT")
if explicit_project:
self._project = explicit_project
# Project resolution: RETAINDB_PROJECT > hermes-<profile> > "default"
# If unset, the API auto-creates and uses the "default" project — no config required.
explicit = os.environ.get("RETAINDB_PROJECT")
if explicit:
project = explicit
else:
hermes_home = kwargs.get("hermes_home", "")
hermes_home = str(kwargs.get("hermes_home", ""))
profile_name = os.path.basename(hermes_home) if hermes_home else ""
# Default profile (~/.hermes) → "hermes"; named profiles → "hermes-<name>"
if profile_name and profile_name != ".hermes":
self._project = f"hermes-{profile_name}"
else:
self._project = "hermes"
project = f"hermes-{profile_name}" if (profile_name and profile_name not in {"", ".hermes"}) else "default"
self._client = _Client(api_key, base_url, project)
self._session_id = session_id
self._user_id = kwargs.get("user_id", "default") or "default"
self._agent_id = kwargs.get("agent_id", "hermes") or "hermes"
hermes_home_path = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
db_path = hermes_home_path / "retaindb_queue.db"
self._queue = _WriteQueue(self._client, db_path)
# Seed agent identity from SOUL.md in background
soul_path = hermes_home_path / "SOUL.md"
if soul_path.exists():
soul_content = soul_path.read_text(encoding="utf-8", errors="replace").strip()
if soul_content:
threading.Thread(
target=self._seed_soul,
args=(soul_content,),
name="retaindb-soul-seed",
daemon=True,
).start()
def _seed_soul(self, content: str) -> None:
try:
self._client.seed_agent_identity(self._agent_id, content, source="soul_md")
except Exception as exc:
logger.debug("RetainDB soul seed failed: %s", exc)
def system_prompt_block(self) -> str:
project = self._client.project if self._client else "retaindb"
return (
"# RetainDB Memory\n"
f"Active. Project: {self._project}.\n"
f"Active. Project: {project}.\n"
"Use retaindb_search to find memories, retaindb_remember to store facts, "
"retaindb_profile for a user overview, retaindb_context for task-relevant context."
"retaindb_profile for a user overview, retaindb_context for current-task context."
)
def prefetch(self, query: str, *, session_id: str = "") -> str:
if self._prefetch_thread and self._prefetch_thread.is_alive():
self._prefetch_thread.join(timeout=3.0)
with self._prefetch_lock:
result = self._prefetch_result
self._prefetch_result = ""
if not result:
return ""
return f"## RetainDB Memory\n{result}"
# ── Background prefetch (fires at turn-end, consumed next turn-start) ──
def queue_prefetch(self, query: str, *, session_id: str = "") -> None:
def _run():
try:
data = self._api("POST", "/v1/recall", json={
"project": self._project,
"query": query,
"user_id": self._user_id,
"top_k": 5,
})
results = data.get("results", [])
if results:
lines = [r.get("content", "") for r in results if r.get("content")]
with self._prefetch_lock:
self._prefetch_result = "\n".join(f"- {l}" for l in lines)
except Exception as e:
logger.debug("RetainDB prefetch failed: %s", e)
"""Fire context + dialectic + agent model prefetches in background."""
if not self._client:
return
# Wait for any still-running prefetch threads before spawning new ones.
# Prevents thread accumulation if turns fire faster than prefetches complete.
for t in self._prefetch_threads:
t.join(timeout=2.0)
threads = [
threading.Thread(target=self._prefetch_context, args=(query,), name="retaindb-ctx", daemon=True),
threading.Thread(target=self._prefetch_dialectic, args=(query,), name="retaindb-dialectic", daemon=True),
threading.Thread(target=self._prefetch_agent_model, name="retaindb-agent-model", daemon=True),
]
self._prefetch_threads = threads
for t in threads:
t.start()
self._prefetch_thread = threading.Thread(target=_run, daemon=True, name="retaindb-prefetch")
self._prefetch_thread.start()
def _prefetch_context(self, query: str) -> None:
try:
query_result = self._client.query_context(self._user_id, self._session_id, query)
profile = self._client.get_profile(self._user_id)
overlay = _build_overlay(profile, query_result)
with self._lock:
self._context_result = overlay
except Exception as exc:
logger.debug("RetainDB context prefetch failed: %s", exc)
def _prefetch_dialectic(self, query: str) -> None:
try:
result = self._client.ask_user(self._user_id, query, reasoning_level=self._reasoning_level(query))
answer = str(result.get("answer") or "")
if answer:
with self._lock:
self._dialectic_result = answer
except Exception as exc:
logger.debug("RetainDB dialectic prefetch failed: %s", exc)
def _prefetch_agent_model(self) -> None:
try:
model = self._client.get_agent_model(self._agent_id)
if model.get("memory_count", 0) > 0:
with self._lock:
self._agent_model = model
except Exception as exc:
logger.debug("RetainDB agent model prefetch failed: %s", exc)
@staticmethod
def _reasoning_level(query: str) -> str:
n = len(query)
if n < 120:
return "low"
if n < 400:
return "medium"
return "high"
def prefetch(self, query: str, *, session_id: str = "") -> str:
"""Consume prefetched results and return them as a context block."""
with self._lock:
context = self._context_result
dialectic = self._dialectic_result
agent_model = self._agent_model
self._context_result = ""
self._dialectic_result = ""
self._agent_model = {}
parts: list[str] = []
if context:
parts.append(context)
if dialectic:
parts.append(f"[RetainDB User Synthesis]\n{dialectic}")
if agent_model and agent_model.get("memory_count", 0) > 0:
model_lines: list[str] = []
if agent_model.get("persona"):
model_lines.append(f"Persona: {agent_model['persona']}")
if agent_model.get("persistent_instructions"):
model_lines.append("Instructions:\n" + "\n".join(f"- {i}" for i in agent_model["persistent_instructions"]))
if agent_model.get("working_style"):
model_lines.append(f"Working style: {agent_model['working_style']}")
if model_lines:
parts.append("[RetainDB Agent Self-Model]\n" + "\n".join(model_lines))
return "\n\n".join(parts)
# ── Turn sync ──────────────────────────────────────────────────────────
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Ingest conversation turn in background (non-blocking)."""
def _sync():
try:
self._api("POST", "/v1/ingest", json={
"project": self._project,
"user_id": self._user_id,
"session_id": self._session_id,
"messages": [
{"role": "user", "content": user_content},
{"role": "assistant", "content": assistant_content},
],
})
except Exception as e:
logger.warning("RetainDB sync failed: %s", e)
"""Queue turn for async ingest. Returns immediately."""
if not self._queue or not user_content:
return
now = datetime.now(timezone.utc).isoformat()
self._queue.enqueue(
self._user_id,
session_id or self._session_id,
[
{"role": "user", "content": user_content, "timestamp": now},
{"role": "assistant", "content": assistant_content, "timestamp": now},
],
)
if self._sync_thread and self._sync_thread.is_alive():
self._sync_thread.join(timeout=5.0)
self._sync_thread = threading.Thread(target=_sync, daemon=True, name="retaindb-sync")
self._sync_thread.start()
# ── Tools ──────────────────────────────────────────────────────────────
def get_tool_schemas(self) -> List[Dict[str, Any]]:
return [PROFILE_SCHEMA, SEARCH_SCHEMA, CONTEXT_SCHEMA, REMEMBER_SCHEMA, FORGET_SCHEMA]
return [
PROFILE_SCHEMA, SEARCH_SCHEMA, CONTEXT_SCHEMA,
REMEMBER_SCHEMA, FORGET_SCHEMA,
FILE_UPLOAD_SCHEMA, FILE_LIST_SCHEMA, FILE_READ_SCHEMA,
FILE_INGEST_SCHEMA, FILE_DELETE_SCHEMA,
]
def handle_tool_call(self, tool_name: str, args: dict, **kwargs) -> str:
if not self._client:
return json.dumps({"error": "RetainDB not initialized"})
try:
if tool_name == "retaindb_profile":
data = self._api("GET", f"/v1/profile/{self._project}/{self._user_id}")
return json.dumps(data)
return json.dumps(self._dispatch(tool_name, args))
except Exception as exc:
return json.dumps({"error": str(exc)})
elif tool_name == "retaindb_search":
query = args.get("query", "")
if not query:
return json.dumps({"error": "query is required"})
data = self._api("POST", "/v1/search", json={
"project": self._project,
"user_id": self._user_id,
"query": query,
"top_k": min(int(args.get("top_k", 8)), 20),
})
return json.dumps(data)
def _dispatch(self, tool_name: str, args: dict) -> Any:
c = self._client
elif tool_name == "retaindb_context":
query = args.get("query", "")
if not query:
return json.dumps({"error": "query is required"})
data = self._api("POST", "/v1/recall", json={
"project": self._project,
"user_id": self._user_id,
"query": query,
"top_k": 5,
})
return json.dumps(data)
if tool_name == "retaindb_profile":
return c.get_profile(self._user_id)
elif tool_name == "retaindb_remember":
content = args.get("content", "")
if not content:
return json.dumps({"error": "content is required"})
data = self._api("POST", "/v1/remember", json={
"project": self._project,
"user_id": self._user_id,
"content": content,
"memory_type": args.get("memory_type", "fact"),
"importance": float(args.get("importance", 0.5)),
})
return json.dumps(data)
if tool_name == "retaindb_search":
query = args.get("query", "")
if not query:
return {"error": "query is required"}
return c.search(self._user_id, self._session_id, query, top_k=min(int(args.get("top_k", 8)), 20))
elif tool_name == "retaindb_forget":
memory_id = args.get("memory_id", "")
if not memory_id:
return json.dumps({"error": "memory_id is required"})
data = self._api("DELETE", f"/v1/memory/{memory_id}")
return json.dumps(data)
if tool_name == "retaindb_context":
query = args.get("query", "")
if not query:
return {"error": "query is required"}
query_result = c.query_context(self._user_id, self._session_id, query)
profile = c.get_profile(self._user_id)
overlay = _build_overlay(profile, query_result)
return {"context": overlay, "raw": query_result}
return json.dumps({"error": f"Unknown tool: {tool_name}"})
except Exception as e:
return json.dumps({"error": str(e)})
if tool_name == "retaindb_remember":
content = args.get("content", "")
if not content:
return {"error": "content is required"}
return c.add_memory(
self._user_id, self._session_id, content,
memory_type=args.get("memory_type", "factual"),
importance=float(args.get("importance", 0.7)),
)
if tool_name == "retaindb_forget":
memory_id = args.get("memory_id", "")
if not memory_id:
return {"error": "memory_id is required"}
return c.delete_memory(memory_id)
# ── File tools ──────────────────────────────────────────────────────
if tool_name == "retaindb_upload_file":
local_path = args.get("local_path", "")
if not local_path:
return {"error": "local_path is required"}
path_obj = Path(local_path)
if not path_obj.exists():
return {"error": f"File not found: {local_path}"}
data = path_obj.read_bytes()
import mimetypes
mime = mimetypes.guess_type(path_obj.name)[0] or "application/octet-stream"
remote_path = args.get("remote_path") or f"/{path_obj.name}"
result = c.upload_file(data, path_obj.name, remote_path, mime, args.get("scope", "PROJECT"), None)
if args.get("ingest") and result.get("file", {}).get("id"):
ingest = c.ingest_file(result["file"]["id"], user_id=self._user_id, agent_id=self._agent_id)
result["ingest"] = ingest
return result
if tool_name == "retaindb_list_files":
return c.list_files(prefix=args.get("prefix"), limit=int(args.get("limit", 50)))
if tool_name == "retaindb_read_file":
file_id = args.get("file_id", "")
if not file_id:
return {"error": "file_id is required"}
meta = c.get_file(file_id)
file_info = meta.get("file") or {}
mime = (file_info.get("mime_type") or "").lower()
raw = c.read_file_content(file_id)
if not (mime.startswith("text/") or any(file_info.get("name", "").endswith(e) for e in (".txt", ".md", ".json", ".csv", ".yaml", ".yml", ".xml", ".html"))):
return {"file_id": file_id, "rdb_uri": file_info.get("rdb_uri"), "name": file_info.get("name"), "content": None, "note": "Binary file — use retaindb_ingest_file to extract text into memory."}
text = raw.decode("utf-8", errors="replace")
return {"file_id": file_id, "rdb_uri": file_info.get("rdb_uri"), "name": file_info.get("name"), "content": text[:32000], "truncated": len(text) > 32000}
if tool_name == "retaindb_ingest_file":
file_id = args.get("file_id", "")
if not file_id:
return {"error": "file_id is required"}
return c.ingest_file(file_id, user_id=self._user_id, agent_id=self._agent_id)
if tool_name == "retaindb_delete_file":
file_id = args.get("file_id", "")
if not file_id:
return {"error": "file_id is required"}
return c.delete_file(file_id)
return {"error": f"Unknown tool: {tool_name}"}
# ── Optional hooks ─────────────────────────────────────────────────────
def on_memory_write(self, action: str, target: str, content: str) -> None:
if action == "add":
try:
self._api("POST", "/v1/remember", json={
"project": self._project,
"user_id": self._user_id,
"content": content,
"memory_type": "preference" if target == "user" else "fact",
})
except Exception as e:
logger.debug("RetainDB memory bridge failed: %s", e)
"""Mirror built-in memory writes to RetainDB."""
if action != "add" or not content or not self._client:
return
try:
memory_type = "preference" if target == "user" else "factual"
self._client.add_memory(self._user_id, self._session_id, content, memory_type=memory_type)
except Exception as exc:
logger.debug("RetainDB memory mirror failed: %s", exc)
def shutdown(self) -> None:
for t in (self._prefetch_thread, self._sync_thread):
if t and t.is_alive():
t.join(timeout=5.0)
for t in self._prefetch_threads:
t.join(timeout=3.0)
if self._queue:
self._queue.shutdown()
def register(ctx) -> None:
+54
View File
@@ -0,0 +1,54 @@
# Supermemory Memory Provider
Semantic long-term memory with profile recall, semantic search, explicit memory tools, and session-end conversation ingest.
## Requirements
- `pip install supermemory`
- Supermemory API key from [supermemory.ai](https://supermemory.ai)
## Setup
```bash
hermes memory setup # select "supermemory"
```
Or manually:
```bash
hermes config set memory.provider supermemory
echo 'SUPERMEMORY_API_KEY=your-key-here' >> ~/.hermes/.env
```
## Config
Config file: `$HERMES_HOME/supermemory.json`
| Key | Default | Description |
|-----|---------|-------------|
| `container_tag` | `hermes` | Container tag used for search and writes |
| `auto_recall` | `true` | Inject relevant memory context before turns |
| `auto_capture` | `true` | Store cleaned user-assistant turns after each response |
| `max_recall_results` | `10` | Max recalled items to format into context |
| `profile_frequency` | `50` | Include profile facts on first turn and every N turns |
| `capture_mode` | `all` | Skip tiny or trivial turns by default |
| `entity_context` | built-in default | Extraction guidance passed to Supermemory |
| `api_timeout` | `5.0` | Timeout for SDK and ingest requests |
## Tools
| Tool | Description |
|------|-------------|
| `supermemory_store` | Store an explicit memory |
| `supermemory_search` | Search memories by semantic similarity |
| `supermemory_forget` | Forget a memory by ID or best-match query |
| `supermemory_profile` | Retrieve persistent profile and recent context |
## Behavior
When enabled, Hermes can:
- prefetch relevant memory context before each turn
- store cleaned conversation turns after each completed response
- ingest the full session on session end for richer graph updates
- expose explicit tools for search, store, forget, and profile access
+671
View File
@@ -0,0 +1,671 @@
"""Supermemory memory plugin using the MemoryProvider interface.
Provides semantic long-term memory with profile recall, semantic search,
explicit memory tools, cleaned turn capture, and session-end conversation ingest.
"""
from __future__ import annotations
import json
import logging
import os
import re
import threading
import urllib.error
import urllib.request
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
logger = logging.getLogger(__name__)
_DEFAULT_CONTAINER_TAG = "hermes"
_DEFAULT_MAX_RECALL_RESULTS = 10
_DEFAULT_PROFILE_FREQUENCY = 50
_DEFAULT_CAPTURE_MODE = "all"
_DEFAULT_API_TIMEOUT = 5.0
_MIN_CAPTURE_LENGTH = 10
_MAX_ENTITY_CONTEXT_LENGTH = 1500
_CONVERSATIONS_URL = "https://api.supermemory.ai/v4/conversations"
_TRIVIAL_RE = re.compile(
r"^(ok|okay|thanks|thank you|got it|sure|yes|no|yep|nope|k|ty|thx|np)\.?$",
re.IGNORECASE,
)
_CONTEXT_STRIP_RE = re.compile(
r"<supermemory-context>[\s\S]*?</supermemory-context>\s*", re.DOTALL
)
_CONTAINERS_STRIP_RE = re.compile(
r"<supermemory-containers>[\s\S]*?</supermemory-containers>\s*", re.DOTALL
)
_DEFAULT_ENTITY_CONTEXT = (
"User-assistant conversation. Format: [role: user]...[user:end] and "
"[role: assistant]...[assistant:end].\n\n"
"Only extract things useful in future conversations. Most messages are not worth remembering.\n\n"
"Remember lasting personal facts, preferences, routines, tools, ongoing projects, working context, "
"and explicit requests to remember something.\n\n"
"Do not remember temporary intents, one-time tasks, assistant actions, implementation details, or in-progress status.\n\n"
"When in doubt, store less."
)
def _default_config() -> dict:
return {
"container_tag": _DEFAULT_CONTAINER_TAG,
"auto_recall": True,
"auto_capture": True,
"max_recall_results": _DEFAULT_MAX_RECALL_RESULTS,
"profile_frequency": _DEFAULT_PROFILE_FREQUENCY,
"capture_mode": _DEFAULT_CAPTURE_MODE,
"entity_context": _DEFAULT_ENTITY_CONTEXT,
"api_timeout": _DEFAULT_API_TIMEOUT,
}
def _sanitize_tag(raw: str) -> str:
tag = re.sub(r"[^a-zA-Z0-9_]", "_", raw or "")
tag = re.sub(r"_+", "_", tag)
return tag.strip("_") or _DEFAULT_CONTAINER_TAG
def _clamp_entity_context(text: str) -> str:
if not text:
return _DEFAULT_ENTITY_CONTEXT
text = text.strip()
return text[:_MAX_ENTITY_CONTEXT_LENGTH]
def _as_bool(value: Any, default: bool) -> bool:
if isinstance(value, bool):
return value
if isinstance(value, str):
lowered = value.strip().lower()
if lowered in ("true", "1", "yes", "y", "on"):
return True
if lowered in ("false", "0", "no", "n", "off"):
return False
return default
def _load_supermemory_config(hermes_home: str) -> dict:
config = _default_config()
config_path = Path(hermes_home) / "supermemory.json"
if config_path.exists():
try:
raw = json.loads(config_path.read_text(encoding="utf-8"))
if isinstance(raw, dict):
config.update({k: v for k, v in raw.items() if v is not None})
except Exception:
logger.debug("Failed to parse %s", config_path, exc_info=True)
config["container_tag"] = _sanitize_tag(str(config.get("container_tag", _DEFAULT_CONTAINER_TAG)))
config["auto_recall"] = _as_bool(config.get("auto_recall"), True)
config["auto_capture"] = _as_bool(config.get("auto_capture"), True)
try:
config["max_recall_results"] = max(1, min(20, int(config.get("max_recall_results", _DEFAULT_MAX_RECALL_RESULTS))))
except Exception:
config["max_recall_results"] = _DEFAULT_MAX_RECALL_RESULTS
try:
config["profile_frequency"] = max(1, min(500, int(config.get("profile_frequency", _DEFAULT_PROFILE_FREQUENCY))))
except Exception:
config["profile_frequency"] = _DEFAULT_PROFILE_FREQUENCY
config["capture_mode"] = "everything" if config.get("capture_mode") == "everything" else "all"
config["entity_context"] = _clamp_entity_context(str(config.get("entity_context", _DEFAULT_ENTITY_CONTEXT)))
try:
config["api_timeout"] = max(0.5, min(15.0, float(config.get("api_timeout", _DEFAULT_API_TIMEOUT))))
except Exception:
config["api_timeout"] = _DEFAULT_API_TIMEOUT
return config
def _save_supermemory_config(values: dict, hermes_home: str) -> None:
config_path = Path(hermes_home) / "supermemory.json"
existing = {}
if config_path.exists():
try:
raw = json.loads(config_path.read_text(encoding="utf-8"))
if isinstance(raw, dict):
existing = raw
except Exception:
existing = {}
existing.update(values)
config_path.write_text(json.dumps(existing, indent=2, sort_keys=True) + "\n", encoding="utf-8")
def _detect_category(text: str) -> str:
lowered = text.lower()
if re.search(r"prefer|like|love|hate|want", lowered):
return "preference"
if re.search(r"decided|will use|going with", lowered):
return "decision"
if re.search(r"\bis\b|\bare\b|\bhas\b|\bhave\b", lowered):
return "fact"
return "other"
def _format_relative_time(iso_timestamp: str) -> str:
try:
dt = datetime.fromisoformat(iso_timestamp.replace("Z", "+00:00"))
now = datetime.now(timezone.utc)
seconds = (now - dt).total_seconds()
if seconds < 1800:
return "just now"
if seconds < 3600:
return f"{int(seconds / 60)}m ago"
if seconds < 86400:
return f"{int(seconds / 3600)}h ago"
if seconds < 604800:
return f"{int(seconds / 86400)}d ago"
if dt.year == now.year:
return dt.strftime("%d %b")
return dt.strftime("%d %b %Y")
except Exception:
return ""
def _deduplicate_recall(static_facts: list, dynamic_facts: list, search_results: list) -> tuple[list, list, list]:
seen = set()
out_static, out_dynamic, out_search = [], [], []
for fact in static_facts or []:
if fact and fact not in seen:
seen.add(fact)
out_static.append(fact)
for fact in dynamic_facts or []:
if fact and fact not in seen:
seen.add(fact)
out_dynamic.append(fact)
for item in search_results or []:
memory = item.get("memory", "")
if memory and memory not in seen:
seen.add(memory)
out_search.append(item)
return out_static, out_dynamic, out_search
def _format_prefetch_context(static_facts: list, dynamic_facts: list, search_results: list, max_results: int) -> str:
statics, dynamics, search = _deduplicate_recall(static_facts, dynamic_facts, search_results)
statics = statics[:max_results]
dynamics = dynamics[:max_results]
search = search[:max_results]
if not statics and not dynamics and not search:
return ""
sections = []
if statics:
sections.append("## User Profile (Persistent)\n" + "\n".join(f"- {item}" for item in statics))
if dynamics:
sections.append("## Recent Context\n" + "\n".join(f"- {item}" for item in dynamics))
if search:
lines = []
for item in search:
memory = item.get("memory", "")
if not memory:
continue
similarity = item.get("similarity")
updated = item.get("updated_at") or item.get("updatedAt") or ""
prefix_bits = []
rel = _format_relative_time(updated)
if rel:
prefix_bits.append(f"[{rel}]")
if similarity is not None:
try:
prefix_bits.append(f"[{round(float(similarity) * 100)}%]")
except Exception:
pass
prefix = " ".join(prefix_bits)
lines.append(f"- {prefix} {memory}".strip())
if lines:
sections.append("## Relevant Memories\n" + "\n".join(lines))
if not sections:
return ""
intro = (
"The following is background context from long-term memory. Use it silently when relevant. "
"Do not force memories into the conversation."
)
body = "\n\n".join(sections)
return f"<supermemory-context>\n{intro}\n\n{body}\n</supermemory-context>"
def _clean_text_for_capture(text: str) -> str:
text = _CONTEXT_STRIP_RE.sub("", text or "")
text = _CONTAINERS_STRIP_RE.sub("", text)
return text.strip()
def _is_trivial_message(text: str) -> bool:
return bool(_TRIVIAL_RE.match((text or "").strip()))
class _SupermemoryClient:
def __init__(self, api_key: str, timeout: float, container_tag: str):
from supermemory import Supermemory
self._api_key = api_key
self._container_tag = container_tag
self._timeout = timeout
self._client = Supermemory(api_key=api_key, timeout=timeout, max_retries=0)
def add_memory(self, content: str, metadata: Optional[dict] = None, *, entity_context: str = "") -> dict:
kwargs = {
"content": content.strip(),
"container_tags": [self._container_tag],
}
if metadata:
kwargs["metadata"] = metadata
if entity_context:
kwargs["entity_context"] = _clamp_entity_context(entity_context)
result = self._client.documents.add(**kwargs)
return {"id": getattr(result, "id", "")}
def search_memories(self, query: str, *, limit: int = 5) -> list[dict]:
response = self._client.search.memories(q=query, container_tag=self._container_tag, limit=limit)
results = []
for item in (getattr(response, "results", None) or []):
results.append({
"id": getattr(item, "id", ""),
"memory": getattr(item, "memory", "") or "",
"similarity": getattr(item, "similarity", None),
"updated_at": getattr(item, "updated_at", None) or getattr(item, "updatedAt", None),
"metadata": getattr(item, "metadata", None),
})
return results
def get_profile(self, query: Optional[str] = None) -> dict:
kwargs = {"container_tag": self._container_tag}
if query:
kwargs["q"] = query
response = self._client.profile(**kwargs)
profile_data = getattr(response, "profile", None)
search_data = getattr(response, "search_results", None) or getattr(response, "searchResults", None)
static = getattr(profile_data, "static", []) or [] if profile_data else []
dynamic = getattr(profile_data, "dynamic", []) or [] if profile_data else []
raw_results = getattr(search_data, "results", None) or search_data or []
search_results = []
if isinstance(raw_results, list):
for item in raw_results:
if isinstance(item, dict):
search_results.append(item)
else:
search_results.append({
"memory": getattr(item, "memory", ""),
"updated_at": getattr(item, "updated_at", None) or getattr(item, "updatedAt", None),
"similarity": getattr(item, "similarity", None),
})
return {"static": static, "dynamic": dynamic, "search_results": search_results}
def forget_memory(self, memory_id: str) -> None:
self._client.memories.forget(container_tag=self._container_tag, id=memory_id)
def forget_by_query(self, query: str) -> dict:
results = self.search_memories(query, limit=5)
if not results:
return {"success": False, "message": "No matching memory found to forget."}
target = results[0]
memory_id = target.get("id", "")
if not memory_id:
return {"success": False, "message": "Best matching memory has no id."}
self.forget_memory(memory_id)
preview = (target.get("memory") or "")[:100]
return {"success": True, "message": f'Forgot: "{preview}"', "id": memory_id}
def ingest_conversation(self, session_id: str, messages: list[dict]) -> None:
payload = json.dumps({
"conversationId": session_id,
"messages": messages,
"containerTags": [self._container_tag],
}).encode("utf-8")
req = urllib.request.Request(
_CONVERSATIONS_URL,
data=payload,
headers={
"Authorization": f"Bearer {self._api_key}",
"Content-Type": "application/json",
},
method="POST",
)
with urllib.request.urlopen(req, timeout=self._timeout + 3):
return
STORE_SCHEMA = {
"name": "supermemory_store",
"description": "Store an explicit memory for future recall.",
"parameters": {
"type": "object",
"properties": {
"content": {"type": "string", "description": "The memory content to store."},
"metadata": {"type": "object", "description": "Optional metadata attached to the memory."},
},
"required": ["content"],
},
}
SEARCH_SCHEMA = {
"name": "supermemory_search",
"description": "Search long-term memory by semantic similarity.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "What to search for."},
"limit": {"type": "integer", "description": "Maximum results to return, 1 to 20."},
},
"required": ["query"],
},
}
FORGET_SCHEMA = {
"name": "supermemory_forget",
"description": "Forget a memory by exact id or by best-match query.",
"parameters": {
"type": "object",
"properties": {
"id": {"type": "string", "description": "Exact memory id to delete."},
"query": {"type": "string", "description": "Query used to find the memory to forget."},
},
},
}
PROFILE_SCHEMA = {
"name": "supermemory_profile",
"description": "Retrieve persistent profile facts and recent memory context.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Optional query to focus the profile response."},
},
},
}
class SupermemoryMemoryProvider(MemoryProvider):
def __init__(self):
self._config = _default_config()
self._api_key = ""
self._client: Optional[_SupermemoryClient] = None
self._container_tag = _DEFAULT_CONTAINER_TAG
self._session_id = ""
self._turn_count = 0
self._prefetch_result = ""
self._prefetch_lock = threading.Lock()
self._prefetch_thread: Optional[threading.Thread] = None
self._sync_thread: Optional[threading.Thread] = None
self._write_thread: Optional[threading.Thread] = None
self._auto_recall = True
self._auto_capture = True
self._max_recall_results = _DEFAULT_MAX_RECALL_RESULTS
self._profile_frequency = _DEFAULT_PROFILE_FREQUENCY
self._capture_mode = _DEFAULT_CAPTURE_MODE
self._entity_context = _DEFAULT_ENTITY_CONTEXT
self._api_timeout = _DEFAULT_API_TIMEOUT
self._hermes_home = ""
self._write_enabled = True
self._active = False
@property
def name(self) -> str:
return "supermemory"
def is_available(self) -> bool:
api_key = os.environ.get("SUPERMEMORY_API_KEY", "")
if not api_key:
return False
try:
__import__("supermemory")
return True
except Exception:
return False
def get_config_schema(self):
return [
{"key": "api_key", "description": "Supermemory API key", "secret": True, "required": True, "env_var": "SUPERMEMORY_API_KEY", "url": "https://supermemory.ai"},
{"key": "container_tag", "description": "Container tag for reads and writes", "default": _DEFAULT_CONTAINER_TAG},
{"key": "auto_recall", "description": "Enable automatic recall before each turn", "default": "true", "choices": ["true", "false"]},
{"key": "auto_capture", "description": "Enable automatic capture after each completed turn", "default": "true", "choices": ["true", "false"]},
{"key": "max_recall_results", "description": "Maximum recalled items to inject", "default": str(_DEFAULT_MAX_RECALL_RESULTS)},
{"key": "profile_frequency", "description": "Include profile facts on first turn and every N turns", "default": str(_DEFAULT_PROFILE_FREQUENCY)},
{"key": "capture_mode", "description": "Capture mode", "default": _DEFAULT_CAPTURE_MODE, "choices": ["all", "everything"]},
{"key": "entity_context", "description": "Extraction guidance passed to Supermemory", "default": _DEFAULT_ENTITY_CONTEXT},
{"key": "api_timeout", "description": "Timeout in seconds for SDK and ingest calls", "default": str(_DEFAULT_API_TIMEOUT)},
]
def save_config(self, values, hermes_home):
sanitized = dict(values or {})
if "container_tag" in sanitized:
sanitized["container_tag"] = _sanitize_tag(str(sanitized["container_tag"]))
if "entity_context" in sanitized:
sanitized["entity_context"] = _clamp_entity_context(str(sanitized["entity_context"]))
_save_supermemory_config(sanitized, hermes_home)
def initialize(self, session_id: str, **kwargs) -> None:
from hermes_constants import get_hermes_home
self._hermes_home = kwargs.get("hermes_home") or str(get_hermes_home())
self._session_id = session_id
self._turn_count = 0
self._config = _load_supermemory_config(self._hermes_home)
self._api_key = os.environ.get("SUPERMEMORY_API_KEY", "")
self._container_tag = self._config["container_tag"]
self._auto_recall = self._config["auto_recall"]
self._auto_capture = self._config["auto_capture"]
self._max_recall_results = self._config["max_recall_results"]
self._profile_frequency = self._config["profile_frequency"]
self._capture_mode = self._config["capture_mode"]
self._entity_context = self._config["entity_context"]
self._api_timeout = self._config["api_timeout"]
agent_context = kwargs.get("agent_context", "")
self._write_enabled = agent_context not in ("cron", "flush", "subagent")
self._active = bool(self._api_key)
self._client = None
if self._active:
try:
self._client = _SupermemoryClient(
api_key=self._api_key,
timeout=self._api_timeout,
container_tag=self._container_tag,
)
except Exception:
logger.warning("Supermemory initialization failed", exc_info=True)
self._active = False
self._client = None
def on_turn_start(self, turn_number: int, message: str, **kwargs) -> None:
self._turn_count = max(turn_number, 0)
def system_prompt_block(self) -> str:
if not self._active:
return ""
return (
"# Supermemory\n"
f"Active. Container: {self._container_tag}.\n"
"Use supermemory_search, supermemory_store, supermemory_forget, and supermemory_profile for explicit memory operations."
)
def prefetch(self, query: str, *, session_id: str = "") -> str:
if not self._active or not self._auto_recall or not self._client or not query.strip():
return ""
try:
profile = self._client.get_profile(query=query[:200])
include_profile = self._turn_count <= 1 or (self._turn_count % self._profile_frequency == 0)
context = _format_prefetch_context(
static_facts=profile["static"] if include_profile else [],
dynamic_facts=profile["dynamic"] if include_profile else [],
search_results=profile["search_results"],
max_results=self._max_recall_results,
)
return context
except Exception:
logger.debug("Supermemory prefetch failed", exc_info=True)
return ""
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
if not self._active or not self._auto_capture or not self._write_enabled or not self._client:
return
clean_user = _clean_text_for_capture(user_content)
clean_assistant = _clean_text_for_capture(assistant_content)
if not clean_user or not clean_assistant:
return
if self._capture_mode == "all":
if len(clean_user) < _MIN_CAPTURE_LENGTH or len(clean_assistant) < _MIN_CAPTURE_LENGTH:
return
if _is_trivial_message(clean_user):
return
content = (
f"[role: user]\n{clean_user}\n[user:end]\n\n"
f"[role: assistant]\n{clean_assistant}\n[assistant:end]"
)
metadata = {"source": "hermes", "type": "conversation_turn"}
def _run():
try:
self._client.add_memory(content, metadata=metadata, entity_context=self._entity_context)
except Exception:
logger.debug("Supermemory sync_turn failed", exc_info=True)
if self._sync_thread and self._sync_thread.is_alive():
self._sync_thread.join(timeout=2.0)
self._sync_thread = None
self._sync_thread = threading.Thread(target=_run, daemon=True, name="supermemory-sync")
self._sync_thread.start()
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
if not self._active or not self._write_enabled or not self._client or not self._session_id:
return
cleaned = []
for message in messages or []:
role = message.get("role")
if role not in ("user", "assistant"):
continue
content = _clean_text_for_capture(str(message.get("content", "")))
if content:
cleaned.append({"role": role, "content": content})
if not cleaned:
return
if len(cleaned) == 1 and len(cleaned[0].get("content", "")) < 20:
return
try:
self._client.ingest_conversation(self._session_id, cleaned)
except urllib.error.HTTPError:
logger.warning("Supermemory session ingest failed", exc_info=True)
except Exception:
logger.warning("Supermemory session ingest failed", exc_info=True)
def on_memory_write(self, action: str, target: str, content: str) -> None:
if not self._active or not self._write_enabled or not self._client:
return
if action != "add" or not (content or "").strip():
return
def _run():
try:
self._client.add_memory(
content.strip(),
metadata={"source": "hermes_memory", "target": target, "type": "explicit_memory"},
entity_context=self._entity_context,
)
except Exception:
logger.debug("Supermemory on_memory_write failed", exc_info=True)
if self._write_thread and self._write_thread.is_alive():
self._write_thread.join(timeout=2.0)
self._write_thread = None
self._write_thread = threading.Thread(target=_run, daemon=False, name="supermemory-memory-write")
self._write_thread.start()
def shutdown(self) -> None:
for attr_name in ("_prefetch_thread", "_sync_thread", "_write_thread"):
thread = getattr(self, attr_name, None)
if thread and thread.is_alive():
thread.join(timeout=5.0)
setattr(self, attr_name, None)
def get_tool_schemas(self) -> List[Dict[str, Any]]:
return [STORE_SCHEMA, SEARCH_SCHEMA, FORGET_SCHEMA, PROFILE_SCHEMA]
def _tool_store(self, args: dict) -> str:
content = str(args.get("content") or "").strip()
if not content:
return json.dumps({"error": "content is required"})
metadata = args.get("metadata") or {}
if not isinstance(metadata, dict):
metadata = {}
metadata.setdefault("type", _detect_category(content))
metadata["source"] = "hermes_tool"
try:
result = self._client.add_memory(content, metadata=metadata, entity_context=self._entity_context)
preview = content[:80] + ("..." if len(content) > 80 else "")
return json.dumps({"saved": True, "id": result.get("id", ""), "preview": preview})
except Exception as exc:
return json.dumps({"error": f"Failed to store memory: {exc}"})
def _tool_search(self, args: dict) -> str:
query = str(args.get("query") or "").strip()
if not query:
return json.dumps({"error": "query is required"})
try:
limit = max(1, min(20, int(args.get("limit", 5) or 5)))
except Exception:
limit = 5
try:
results = self._client.search_memories(query, limit=limit)
formatted = []
for item in results:
entry = {"id": item.get("id", ""), "content": item.get("memory", "")}
if item.get("similarity") is not None:
try:
entry["similarity"] = round(float(item["similarity"]) * 100)
except Exception:
pass
formatted.append(entry)
return json.dumps({"results": formatted, "count": len(formatted)})
except Exception as exc:
return json.dumps({"error": f"Search failed: {exc}"})
def _tool_forget(self, args: dict) -> str:
memory_id = str(args.get("id") or "").strip()
query = str(args.get("query") or "").strip()
if not memory_id and not query:
return json.dumps({"error": "Provide either id or query"})
try:
if memory_id:
self._client.forget_memory(memory_id)
return json.dumps({"forgotten": True, "id": memory_id})
return json.dumps(self._client.forget_by_query(query))
except Exception as exc:
return json.dumps({"error": f"Forget failed: {exc}"})
def _tool_profile(self, args: dict) -> str:
query = str(args.get("query") or "").strip() or None
try:
profile = self._client.get_profile(query=query)
sections = []
if profile["static"]:
sections.append("## User Profile (Persistent)\n" + "\n".join(f"- {item}" for item in profile["static"]))
if profile["dynamic"]:
sections.append("## Recent Context\n" + "\n".join(f"- {item}" for item in profile["dynamic"]))
return json.dumps({
"profile": "\n\n".join(sections),
"static_count": len(profile["static"]),
"dynamic_count": len(profile["dynamic"]),
})
except Exception as exc:
return json.dumps({"error": f"Profile failed: {exc}"})
def handle_tool_call(self, tool_name: str, args: Dict[str, Any], **kwargs) -> str:
if not self._active or not self._client:
return json.dumps({"error": "Supermemory is not configured"})
if tool_name == "supermemory_store":
return self._tool_store(args)
if tool_name == "supermemory_search":
return self._tool_search(args)
if tool_name == "supermemory_forget":
return self._tool_forget(args)
if tool_name == "supermemory_profile":
return self._tool_profile(args)
return json.dumps({"error": f"Unknown tool: {tool_name}"})
def register(ctx):
ctx.register_memory_provider(SupermemoryMemoryProvider())
+5
View File
@@ -0,0 +1,5 @@
name: supermemory
version: 1.0.0
description: "Supermemory semantic long-term memory with profile recall, semantic search, explicit memory tools, and session ingest."
pip_dependencies:
- supermemory
+4 -4
View File
@@ -40,10 +40,10 @@ dependencies = [
modal = ["modal>=1.0.0,<2"]
daytona = ["daytona>=0.148.0,<1"]
dev = ["debugpy>=1.8.0,<2", "pytest>=9.0.2,<10", "pytest-asyncio>=1.3.0,<2", "pytest-xdist>=3.0,<4", "mcp>=1.2.0,<2"]
messaging = ["python-telegram-bot>=22.6,<23", "discord.py[voice]>=2.7.1,<3", "aiohttp>=3.13.3,<4", "slack-bolt>=1.18.0,<2", "slack-sdk>=3.27.0,<4"]
messaging = ["python-telegram-bot[webhooks]>=22.6,<23", "discord.py[voice]>=2.7.1,<3", "aiohttp>=3.13.3,<4", "slack-bolt>=1.18.0,<2", "slack-sdk>=3.27.0,<4"]
cron = ["croniter>=6.0.0,<7"]
slack = ["slack-bolt>=1.18.0,<2", "slack-sdk>=3.27.0,<4"]
matrix = ["matrix-nio[e2e]>=0.24.0,<1"]
matrix = ["matrix-nio[e2e]>=0.24.0,<1", "Markdown>=3.6,<4"]
cli = ["simple-term-menu>=1.0,<2"]
tts-premium = ["elevenlabs>=1.0,<2"]
voice = [
@@ -61,7 +61,7 @@ honcho = ["honcho-ai>=2.0.1,<3"]
mcp = ["mcp>=1.2.0,<2"]
homeassistant = ["aiohttp>=3.9.0,<4"]
sms = ["aiohttp>=3.9.0,<4"]
acp = ["agent-client-protocol>=0.8.1,<0.9"]
acp = ["agent-client-protocol>=0.9.0,<1.0"]
dingtalk = ["dingtalk-stream>=0.1.0,<1"]
feishu = ["lark-oapi>=1.5.3,<2"]
rl = [
@@ -102,7 +102,7 @@ hermes-agent = "run_agent:main"
hermes-acp = "acp_adapter.entry:main"
[tool.setuptools]
py-modules = ["run_agent", "model_tools", "toolsets", "batch_runner", "trajectory_compressor", "toolset_distributions", "cli", "hermes_constants", "hermes_state", "hermes_time", "rl_cli", "utils"]
py-modules = ["run_agent", "model_tools", "toolsets", "batch_runner", "trajectory_compressor", "toolset_distributions", "cli", "hermes_constants", "hermes_state", "hermes_time", "hermes_logging", "rl_cli", "utils"]
[tool.setuptools.packages.find]
include = ["agent", "tools", "tools.*", "hermes_cli", "gateway", "gateway.*", "cron", "acp_adapter", "plugins", "plugins.*"]
+1 -1
View File
@@ -31,6 +31,6 @@ edge-tts
croniter
# Optional: For messaging platform integrations (gateway)
python-telegram-bot>=20.0
python-telegram-bot[webhooks]>=22.6
discord.py>=2.0
aiohttp>=3.9.0
+749 -274
View File
File diff suppressed because it is too large Load Diff
+1 -1
View File
@@ -38,7 +38,7 @@ $NodeVersion = "22"
function Write-Banner {
Write-Host ""
Write-Host "┌─────────────────────────────────────────────────────────┐" -ForegroundColor Magenta
Write-Host "│ ⚕ Hermes Agent Installer │" -ForegroundColor Magenta
Write-Host "│ ⚕ Hermes Agent Installer " -ForegroundColor Magenta
Write-Host "├─────────────────────────────────────────────────────────┤" -ForegroundColor Magenta
Write-Host "│ An open source AI agent by Nous Research. │" -ForegroundColor Magenta
Write-Host "└─────────────────────────────────────────────────────────┘" -ForegroundColor Magenta
+700 -50
View File
@@ -1,94 +1,744 @@
---
name: claude-code
description: Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.
version: 1.0.0
author: Hermes Agent
version: 2.2.0
author: Hermes Agent + Teknium
license: MIT
metadata:
hermes:
tags: [Coding-Agent, Claude, Anthropic, Code-Review, Refactoring]
related_skills: [codex, hermes-agent]
tags: [Coding-Agent, Claude, Anthropic, Code-Review, Refactoring, PTY, Automation]
related_skills: [codex, hermes-agent, opencode]
---
# Claude Code
# Claude Code — Hermes Orchestration Guide
Delegate coding tasks to [Claude Code](https://docs.anthropic.com/en/docs/claude-code) via the Hermes terminal. Claude Code is Anthropic's autonomous coding agent CLI.
Delegate coding tasks to [Claude Code](https://code.claude.com/docs/en/cli-reference) (Anthropic's autonomous coding agent CLI) via the Hermes terminal. Claude Code v2.x can read files, write code, run shell commands, spawn subagents, and manage git workflows autonomously.
## Prerequisites
- Claude Code installed: `npm install -g @anthropic-ai/claude-code`
- Authenticated: run `claude` once to log in
- Use `pty=true` in terminal calls — Claude Code is an interactive terminal app
- **Install:** `npm install -g @anthropic-ai/claude-code`
- **Auth:** run `claude` once to log in (browser OAuth for Pro/Max, or set `ANTHROPIC_API_KEY`)
- **Console auth:** `claude auth login --console` for API key billing
- **SSO auth:** `claude auth login --sso` for Enterprise
- **Check status:** `claude auth status` (JSON) or `claude auth status --text` (human-readable)
- **Health check:** `claude doctor` — checks auto-updater and installation health
- **Version check:** `claude --version` (requires v2.x+)
- **Update:** `claude update` or `claude upgrade`
## One-Shot Tasks
## Two Orchestration Modes
Hermes interacts with Claude Code in two fundamentally different ways. Choose based on the task.
### Mode 1: Print Mode (`-p`) — Non-Interactive (PREFERRED for most tasks)
Print mode runs a one-shot task, returns the result, and exits. No PTY needed. No interactive prompts. This is the cleanest integration path.
```
terminal(command="claude 'Add error handling to the API calls'", workdir="/path/to/project", pty=true)
terminal(command="claude -p 'Add error handling to all API calls in src/' --allowedTools 'Read,Edit' --max-turns 10", workdir="/path/to/project", timeout=120)
```
For quick scratch work:
```
terminal(command="cd $(mktemp -d) && git init && claude 'Build a REST API for todos'", pty=true)
```
**When to use print mode:**
- One-shot coding tasks (fix a bug, add a feature, refactor)
- CI/CD automation and scripting
- Structured data extraction with `--json-schema`
- Piped input processing (`cat file | claude -p "analyze this"`)
- Any task where you don't need multi-turn conversation
## Background Mode (Long Tasks)
**Print mode skips ALL interactive dialogs** — no workspace trust prompt, no permission confirmations. This makes it ideal for automation.
For tasks that take minutes, use background mode so you can monitor progress:
### Mode 2: Interactive PTY via tmux — Multi-Turn Sessions
Interactive mode gives you a full conversational REPL where you can send follow-up prompts, use slash commands, and watch Claude work in real time. **Requires tmux orchestration.**
```
# Start in background with PTY
terminal(command="claude 'Refactor the auth module to use JWT'", workdir="~/project", background=true, pty=true)
# Returns session_id
# Start a tmux session
terminal(command="tmux new-session -d -s claude-work -x 140 -y 40")
# Monitor progress
process(action="poll", session_id="<id>")
process(action="log", session_id="<id>")
# Launch Claude Code inside it
terminal(command="tmux send-keys -t claude-work 'cd /path/to/project && claude' Enter")
# Send input if Claude asks a question
process(action="submit", session_id="<id>", data="yes")
# Wait for startup, then send your task
# (after ~3-5 seconds for the welcome screen)
terminal(command="sleep 5 && tmux send-keys -t claude-work 'Refactor the auth module to use JWT tokens' Enter")
# Kill if needed
process(action="kill", session_id="<id>")
# Monitor progress by capturing the pane
terminal(command="sleep 15 && tmux capture-pane -t claude-work -p -S -50")
# Send follow-up tasks
terminal(command="tmux send-keys -t claude-work 'Now add unit tests for the new JWT code' Enter")
# Exit when done
terminal(command="tmux send-keys -t claude-work '/exit' Enter")
```
## PR Reviews
**When to use interactive mode:**
- Multi-turn iterative work (refactor → review → fix → test cycle)
- Tasks requiring human-in-the-loop decisions
- Exploratory coding sessions
- When you need to use Claude's slash commands (`/compact`, `/review`, `/model`)
Clone to a temp directory to avoid modifying the working tree:
## PTY Dialog Handling (CRITICAL for Interactive Mode)
Claude Code presents up to two confirmation dialogs on first launch. You MUST handle these via tmux send-keys:
### Dialog 1: Workspace Trust (first visit to a directory)
```
terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && claude 'Review this PR against main. Check for bugs, security issues, and style.'", pty=true)
1. Yes, I trust this folder ← DEFAULT (just press Enter)
2. No, exit
```
**Handling:** `tmux send-keys -t <session> Enter` — default selection is correct.
### Dialog 2: Bypass Permissions Warning (only with --dangerously-skip-permissions)
```
1. No, exit ← DEFAULT (WRONG choice!)
2. Yes, I accept
```
**Handling:** Must navigate DOWN first, then Enter:
```
tmux send-keys -t <session> Down && sleep 0.3 && tmux send-keys -t <session> Enter
```
Or use git worktrees:
### Robust Dialog Handling Pattern
```
terminal(command="git worktree add /tmp/pr-42 pr-42-branch", workdir="~/project")
terminal(command="claude 'Review the changes in this branch vs main'", workdir="/tmp/pr-42", pty=true)
# Launch with permissions bypass
terminal(command="tmux send-keys -t claude-work 'claude --dangerously-skip-permissions \"your task\"' Enter")
# Handle trust dialog (Enter for default "Yes")
terminal(command="sleep 4 && tmux send-keys -t claude-work Enter")
# Handle permissions dialog (Down then Enter for "Yes, I accept")
terminal(command="sleep 3 && tmux send-keys -t claude-work Down && sleep 0.3 && tmux send-keys -t claude-work Enter")
# Now wait for Claude to work
terminal(command="sleep 15 && tmux capture-pane -t claude-work -p -S -60")
```
## Parallel Work
**Note:** After the first trust acceptance for a directory, the trust dialog won't appear again. Only the permissions dialog recurs each time you use `--dangerously-skip-permissions`.
Spawn multiple Claude Code instances for independent tasks:
## CLI Subcommands
| Subcommand | Purpose |
|------------|---------|
| `claude` | Start interactive REPL |
| `claude "query"` | Start REPL with initial prompt |
| `claude -p "query"` | Print mode (non-interactive, exits when done) |
| `cat file \| claude -p "query"` | Pipe content as stdin context |
| `claude -c` | Continue the most recent conversation in this directory |
| `claude -r "id"` | Resume a specific session by ID or name |
| `claude auth login` | Sign in (add `--console` for API billing, `--sso` for Enterprise) |
| `claude auth status` | Check login status (returns JSON; `--text` for human-readable) |
| `claude mcp add <name> -- <cmd>` | Add an MCP server |
| `claude mcp list` | List configured MCP servers |
| `claude mcp remove <name>` | Remove an MCP server |
| `claude agents` | List configured agents |
| `claude doctor` | Run health checks on installation and auto-updater |
| `claude update` / `claude upgrade` | Update Claude Code to latest version |
| `claude remote-control` | Start server to control Claude from claude.ai or mobile app |
| `claude install [target]` | Install native build (stable, latest, or specific version) |
| `claude setup-token` | Set up long-lived auth token (requires subscription) |
| `claude plugin` / `claude plugins` | Manage Claude Code plugins |
| `claude auto-mode` | Inspect auto mode classifier configuration |
## Print Mode Deep Dive
### Structured JSON Output
```
terminal(command="claude 'Fix the login bug'", workdir="/tmp/issue-1", background=true, pty=true)
terminal(command="claude 'Add unit tests for auth'", workdir="/tmp/issue-2", background=true, pty=true)
# Monitor all
process(action="list")
terminal(command="claude -p 'Analyze auth.py for security issues' --output-format json --max-turns 5", workdir="/project", timeout=120)
```
## Key Flags
Returns a JSON object with:
```json
{
"type": "result",
"subtype": "success",
"result": "The analysis text...",
"session_id": "75e2167f-...",
"num_turns": 3,
"total_cost_usd": 0.0787,
"duration_ms": 10276,
"stop_reason": "end_turn",
"terminal_reason": "completed",
"usage": { "input_tokens": 5, "output_tokens": 603, ... },
"modelUsage": { "claude-sonnet-4-6": { "costUSD": 0.078, "contextWindow": 200000 } }
}
```
**Key fields:** `session_id` for resumption, `num_turns` for agentic loop count, `total_cost_usd` for spend tracking, `subtype` for success/error detection (`success`, `error_max_turns`, `error_budget`).
### Streaming JSON Output
For real-time token streaming, use `stream-json` with `--verbose`:
```
terminal(command="claude -p 'Write a summary' --output-format stream-json --verbose --include-partial-messages", timeout=60)
```
Returns newline-delimited JSON events. Filter with jq for live text:
```
claude -p "Explain X" --output-format stream-json --verbose --include-partial-messages | \
jq -rj 'select(.type == "stream_event" and .event.delta.type? == "text_delta") | .event.delta.text'
```
Stream events include `system/api_retry` with `attempt`, `max_retries`, and `error` fields (e.g., `rate_limit`, `billing_error`).
### Bidirectional Streaming
For real-time input AND output streaming:
```
claude -p "task" --input-format stream-json --output-format stream-json --replay-user-messages
```
`--replay-user-messages` re-emits user messages on stdout for acknowledgment.
### Piped Input
```
# Pipe a file for analysis
terminal(command="cat src/auth.py | claude -p 'Review this code for bugs' --max-turns 1", timeout=60)
# Pipe multiple files
terminal(command="cat src/*.py | claude -p 'Find all TODO comments' --max-turns 1", timeout=60)
# Pipe command output
terminal(command="git diff HEAD~3 | claude -p 'Summarize these changes' --max-turns 1", timeout=60)
```
### JSON Schema for Structured Extraction
```
terminal(command="claude -p 'List all functions in src/' --output-format json --json-schema '{\"type\":\"object\",\"properties\":{\"functions\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}},\"required\":[\"functions\"]}' --max-turns 5", workdir="/project", timeout=90)
```
Parse `structured_output` from the JSON result. Claude validates output against the schema before returning.
### Session Continuation
```
# Start a task
terminal(command="claude -p 'Start refactoring the database layer' --output-format json --max-turns 10 > /tmp/session.json", workdir="/project", timeout=180)
# Resume with session ID
terminal(command="claude -p 'Continue and add connection pooling' --resume $(cat /tmp/session.json | python3 -c 'import json,sys; print(json.load(sys.stdin)[\"session_id\"])') --max-turns 5", workdir="/project", timeout=120)
# Or resume the most recent session in the same directory
terminal(command="claude -p 'What did you do last time?' --continue --max-turns 1", workdir="/project", timeout=30)
# Fork a session (new ID, keeps history)
terminal(command="claude -p 'Try a different approach' --resume <id> --fork-session --max-turns 10", workdir="/project", timeout=120)
```
### Bare Mode for CI/Scripting
```
terminal(command="claude --bare -p 'Run all tests and report failures' --allowedTools 'Read,Bash' --max-turns 10", workdir="/project", timeout=180)
```
`--bare` skips hooks, plugins, MCP discovery, and CLAUDE.md loading. Fastest startup. Requires `ANTHROPIC_API_KEY` (skips OAuth).
To selectively load context in bare mode:
| To load | Flag |
|---------|------|
| System prompt additions | `--append-system-prompt "text"` or `--append-system-prompt-file path` |
| Settings | `--settings <file-or-json>` |
| MCP servers | `--mcp-config <file-or-json>` |
| Custom agents | `--agents '<json>'` |
### Fallback Model for Overload
```
terminal(command="claude -p 'task' --fallback-model haiku --max-turns 5", timeout=90)
```
Automatically falls back to the specified model when the default is overloaded (print mode only).
## Complete CLI Flags Reference
### Session & Environment
| Flag | Effect |
|------|--------|
| `claude 'prompt'` | One-shot task, exits when done |
| `claude --dangerously-skip-permissions` | Auto-approve all file changes |
| `claude --model <model>` | Use a specific model |
| `-p, --print` | Non-interactive one-shot mode (exits when done) |
| `-c, --continue` | Resume most recent conversation in current directory |
| `-r, --resume <id>` | Resume specific session by ID or name (interactive picker if no ID) |
| `--fork-session` | When resuming, create new session ID instead of reusing original |
| `--session-id <uuid>` | Use a specific UUID for the conversation |
| `--no-session-persistence` | Don't save session to disk (print mode only) |
| `--add-dir <paths...>` | Grant Claude access to additional working directories |
| `-w, --worktree [name]` | Run in an isolated git worktree at `.claude/worktrees/<name>` |
| `--tmux` | Create a tmux session for the worktree (requires `--worktree`) |
| `--ide` | Auto-connect to a valid IDE on startup |
| `--chrome` / `--no-chrome` | Enable/disable Chrome browser integration for web testing |
| `--from-pr [number]` | Resume session linked to a specific GitHub PR |
| `--file <specs...>` | File resources to download at startup (format: `file_id:relative_path`) |
## Rules
### Model & Performance
| Flag | Effect |
|------|--------|
| `--model <alias>` | Model selection: `sonnet`, `opus`, `haiku`, or full name like `claude-sonnet-4-6` |
| `--effort <level>` | Reasoning depth: `low`, `medium`, `high`, `max`, `auto` | Both |
| `--max-turns <n>` | Limit agentic loops (print mode only; prevents runaway) |
| `--max-budget-usd <n>` | Cap API spend in dollars (print mode only) |
| `--fallback-model <model>` | Auto-fallback when default model is overloaded (print mode only) |
| `--betas <betas...>` | Beta headers to include in API requests (API key users only) |
1. **Always use `pty=true`** — Claude Code is an interactive terminal app and will hang without a PTY
2. **Use `workdir`** — keep the agent focused on the right directory
3. **Background for long tasks** — use `background=true` and monitor with `process` tool
4. **Don't interfere** — monitor with `poll`/`log`, don't kill sessions because they're slow
5. **Report results** — after completion, check what changed and summarize for the user
### Permission & Safety
| Flag | Effect |
|------|--------|
| `--dangerously-skip-permissions` | Auto-approve ALL tool use (file writes, bash, network, etc.) |
| `--allow-dangerously-skip-permissions` | Enable bypass as an *option* without enabling it by default |
| `--permission-mode <mode>` | `default`, `acceptEdits`, `plan`, `auto`, `dontAsk`, `bypassPermissions` |
| `--allowedTools <tools...>` | Whitelist specific tools (comma or space-separated) |
| `--disallowedTools <tools...>` | Blacklist specific tools |
| `--tools <tools...>` | Override built-in tool set (`""` = none, `"default"` = all, or tool names) |
### Output & Input Format
| Flag | Effect |
|------|--------|
| `--output-format <fmt>` | `text` (default), `json` (single result object), `stream-json` (newline-delimited) |
| `--input-format <fmt>` | `text` (default) or `stream-json` (real-time streaming input) |
| `--json-schema <schema>` | Force structured JSON output matching a schema |
| `--verbose` | Full turn-by-turn output |
| `--include-partial-messages` | Include partial message chunks as they arrive (stream-json + print) |
| `--replay-user-messages` | Re-emit user messages on stdout (stream-json bidirectional) |
### System Prompt & Context
| Flag | Effect |
|------|--------|
| `--append-system-prompt <text>` | **Add** to the default system prompt (preserves built-in capabilities) |
| `--append-system-prompt-file <path>` | **Add** file contents to the default system prompt |
| `--system-prompt <text>` | **Replace** the entire system prompt (use --append instead usually) |
| `--system-prompt-file <path>` | **Replace** the system prompt with file contents |
| `--bare` | Skip hooks, plugins, MCP discovery, CLAUDE.md, OAuth (fastest startup) |
| `--agents '<json>'` | Define custom subagents dynamically as JSON |
| `--mcp-config <path>` | Load MCP servers from JSON file (repeatable) |
| `--strict-mcp-config` | Only use MCP servers from `--mcp-config`, ignoring all other MCP configs |
| `--settings <file-or-json>` | Load additional settings from a JSON file or inline JSON |
| `--setting-sources <sources>` | Comma-separated sources to load: `user`, `project`, `local` |
| `--plugin-dir <paths...>` | Load plugins from directories for this session only |
| `--disable-slash-commands` | Disable all skills/slash commands |
### Debugging
| Flag | Effect |
|------|--------|
| `-d, --debug [filter]` | Enable debug logging with optional category filter (e.g., `"api,hooks"`, `"!1p,!file"`) |
| `--debug-file <path>` | Write debug logs to file (implicitly enables debug mode) |
### Agent Teams
| Flag | Effect |
|------|--------|
| `--teammate-mode <mode>` | How agent teams display: `auto`, `in-process`, or `tmux` |
| `--brief` | Enable `SendUserMessage` tool for agent-to-user communication |
### Tool Name Syntax for --allowedTools / --disallowedTools
```
Read # All file reading
Edit # File editing (existing files)
Write # File creation (new files)
Bash # All shell commands
Bash(git *) # Only git commands
Bash(git commit *) # Only git commit commands
Bash(npm run lint:*) # Pattern matching with wildcards
WebSearch # Web search capability
WebFetch # Web page fetching
mcp__<server>__<tool> # Specific MCP tool
```
## Settings & Configuration
### Settings Hierarchy (highest to lowest priority)
1. **CLI flags** — override everything
2. **Local project:** `.claude/settings.local.json` (personal, gitignored)
3. **Project:** `.claude/settings.json` (shared, git-tracked)
4. **User:** `~/.claude/settings.json` (global)
### Permissions in Settings
```json
{
"permissions": {
"allow": ["Bash(npm run lint:*)", "WebSearch", "Read"],
"ask": ["Write(*.ts)", "Bash(git push*)"],
"deny": ["Read(.env)", "Bash(rm -rf *)"]
}
}
```
### Memory Files (CLAUDE.md) Hierarchy
1. **Global:** `~/.claude/CLAUDE.md` — applies to all projects
2. **Project:** `./CLAUDE.md` — project-specific context (git-tracked)
3. **Local:** `.claude/CLAUDE.local.md` — personal project overrides (gitignored)
Use the `#` prefix in interactive mode to quickly add to memory: `# Always use 2-space indentation`.
## Interactive Session: Slash Commands
### Session & Context
| Command | Purpose |
|---------|---------|
| `/help` | Show all commands (including custom and MCP commands) |
| `/compact [focus]` | Compress context to save tokens; CLAUDE.md survives compaction. E.g., `/compact focus on auth logic` |
| `/clear` | Wipe conversation history for a fresh start |
| `/context` | Visualize context usage as a colored grid with optimization tips |
| `/cost` | View token usage with per-model and cache-hit breakdowns |
| `/resume` | Switch to or resume a different session |
| `/rewind` | Revert to a previous checkpoint in conversation or code |
| `/btw <question>` | Ask a side question without adding to context cost |
| `/status` | Show version, connectivity, and session info |
| `/todos` | List tracked action items from the conversation |
| `/exit` or `Ctrl+D` | End session |
### Development & Review
| Command | Purpose |
|---------|---------|
| `/review` | Request code review of current changes |
| `/security-review` | Perform security analysis of current changes |
| `/plan [description]` | Enter Plan mode with auto-start for task planning |
| `/loop [interval]` | Schedule recurring tasks within the session |
| `/batch` | Auto-create worktrees for large parallel changes (5-30 worktrees) |
### Configuration & Tools
| Command | Purpose |
|---------|---------|
| `/model [model]` | Switch models mid-session (use arrow keys to adjust effort) |
| `/effort [level]` | Set reasoning effort: `low`, `medium`, `high`, `max`, or `auto` |
| `/init` | Create a CLAUDE.md file for project memory |
| `/memory` | Open CLAUDE.md for editing |
| `/config` | Open interactive settings configuration |
| `/permissions` | View/update tool permissions |
| `/agents` | Manage specialized subagents |
| `/mcp` | Interactive UI to manage MCP servers |
| `/add-dir` | Add additional working directories (useful for monorepos) |
| `/usage` | Show plan limits and rate limit status |
| `/voice` | Enable push-to-talk voice mode (20 languages; hold Space to record, release to send) |
| `/release-notes` | Interactive picker for version release notes |
### Custom Slash Commands
Create `.claude/commands/<name>.md` (project-shared) or `~/.claude/commands/<name>.md` (personal):
```markdown
# .claude/commands/deploy.md
Run the deploy pipeline:
1. Run all tests
2. Build the Docker image
3. Push to registry
4. Update the $ARGUMENTS environment (default: staging)
```
Usage: `/deploy production``$ARGUMENTS` is replaced with the user's input.
### Skills (Natural Language Invocation)
Unlike slash commands (manually invoked), skills in `.claude/skills/` are markdown guides that Claude invokes automatically via natural language when the task matches:
```markdown
# .claude/skills/database-migration.md
When asked to create or modify database migrations:
1. Use Alembic for migration generation
2. Always create a rollback function
3. Test migrations against a local database copy
```
## Interactive Session: Keyboard Shortcuts
### General Controls
| Key | Action |
|-----|--------|
| `Ctrl+C` | Cancel current input or generation |
| `Ctrl+D` | Exit session |
| `Ctrl+R` | Reverse search command history |
| `Ctrl+B` | Background a running task |
| `Ctrl+V` | Paste image into conversation |
| `Ctrl+O` | Transcript mode — see Claude's thinking process |
| `Ctrl+G` or `Ctrl+X Ctrl+E` | Open prompt in external editor |
| `Esc Esc` | Rewind conversation or code state / summarize |
### Mode Toggles
| Key | Action |
|-----|--------|
| `Shift+Tab` | Cycle permission modes (Normal → Auto-Accept → Plan) |
| `Alt+P` | Switch model |
| `Alt+T` | Toggle thinking mode |
| `Alt+O` | Toggle Fast Mode |
### Multiline Input
| Key | Action |
|-----|--------|
| `\` + `Enter` | Quick newline |
| `Shift+Enter` | Newline (alternative) |
| `Ctrl+J` | Newline (alternative) |
### Input Prefixes
| Prefix | Action |
|--------|--------|
| `!` | Execute bash directly, bypassing AI (e.g., `!npm test`). Use `!` alone to toggle shell mode. |
| `@` | Reference files/directories with autocomplete (e.g., `@./src/api/`) |
| `#` | Quick add to CLAUDE.md memory (e.g., `# Use 2-space indentation`) |
| `/` | Slash commands |
### Pro Tip: "ultrathink"
Use the keyword "ultrathink" in your prompt for maximum reasoning effort on a specific turn. This triggers the deepest thinking mode regardless of the current `/effort` setting.
## PR Review Pattern
### Quick Review (Print Mode)
```
terminal(command="cd /path/to/repo && git diff main...feature-branch | claude -p 'Review this diff for bugs, security issues, and style problems. Be thorough.' --max-turns 1", timeout=60)
```
### Deep Review (Interactive + Worktree)
```
terminal(command="tmux new-session -d -s review -x 140 -y 40")
terminal(command="tmux send-keys -t review 'cd /path/to/repo && claude -w pr-review' Enter")
terminal(command="sleep 5 && tmux send-keys -t review Enter") # Trust dialog
terminal(command="sleep 2 && tmux send-keys -t review 'Review all changes vs main. Check for bugs, security issues, race conditions, and missing tests.' Enter")
terminal(command="sleep 30 && tmux capture-pane -t review -p -S -60")
```
### PR Review from Number
```
terminal(command="claude -p 'Review this PR thoroughly' --from-pr 42 --max-turns 10", workdir="/path/to/repo", timeout=120)
```
### Claude Worktree with tmux
```
terminal(command="claude -w feature-x --tmux", workdir="/path/to/repo")
```
Creates an isolated git worktree at `.claude/worktrees/feature-x` AND a tmux session for it. Uses iTerm2 native panes when available; add `--tmux=classic` for traditional tmux.
## Parallel Claude Instances
Run multiple independent Claude tasks simultaneously:
```
# Task 1: Fix backend
terminal(command="tmux new-session -d -s task1 -x 140 -y 40 && tmux send-keys -t task1 'cd ~/project && claude -p \"Fix the auth bug in src/auth.py\" --allowedTools \"Read,Edit\" --max-turns 10' Enter")
# Task 2: Write tests
terminal(command="tmux new-session -d -s task2 -x 140 -y 40 && tmux send-keys -t task2 'cd ~/project && claude -p \"Write integration tests for the API endpoints\" --allowedTools \"Read,Write,Bash\" --max-turns 15' Enter")
# Task 3: Update docs
terminal(command="tmux new-session -d -s task3 -x 140 -y 40 && tmux send-keys -t task3 'cd ~/project && claude -p \"Update README.md with the new API endpoints\" --allowedTools \"Read,Edit\" --max-turns 5' Enter")
# Monitor all
terminal(command="sleep 30 && for s in task1 task2 task3; do echo '=== '$s' ==='; tmux capture-pane -t $s -p -S -5 2>/dev/null; done")
```
## CLAUDE.md — Project Context File
Claude Code auto-loads `CLAUDE.md` from the project root. Use it to persist project context:
```markdown
# Project: My API
## Architecture
- FastAPI backend with SQLAlchemy ORM
- PostgreSQL database, Redis cache
- pytest for testing with 90% coverage target
## Key Commands
- `make test` — run full test suite
- `make lint` — ruff + mypy
- `make dev` — start dev server on :8000
## Code Standards
- Type hints on all public functions
- Docstrings in Google style
- 2-space indentation for YAML, 4-space for Python
- No wildcard imports
```
**Be specific.** Instead of "Write good code", use "Use 2-space indentation for JS" or "Name test files with `.test.ts` suffix." Specific instructions save correction cycles.
### Rules Directory (Modular CLAUDE.md)
For projects with many rules, use the rules directory instead of one massive CLAUDE.md:
- **Project rules:** `.claude/rules/*.md` — team-shared, git-tracked
- **User rules:** `~/.claude/rules/*.md` — personal, global
Each `.md` file in the rules directory is loaded as additional context. This is cleaner than cramming everything into a single CLAUDE.md.
### Auto-Memory
Claude automatically stores learned project context in `~/.claude/projects/<project>/memory/`.
- **Limit:** 25KB or 200 lines per project
- This is separate from CLAUDE.md — it's Claude's own notes about the project, accumulated across sessions
## Custom Subagents
Define specialized agents in `.claude/agents/` (project), `~/.claude/agents/` (personal), or via `--agents` CLI flag (session):
### Agent Location Priority
1. `.claude/agents/` — project-level, team-shared
2. `--agents` CLI flag — session-specific, dynamic
3. `~/.claude/agents/` — user-level, personal
### Creating an Agent
```markdown
# .claude/agents/security-reviewer.md
---
name: security-reviewer
description: Security-focused code review
model: opus
tools: [Read, Bash]
---
You are a senior security engineer. Review code for:
- Injection vulnerabilities (SQL, XSS, command injection)
- Authentication/authorization flaws
- Secrets in code
- Unsafe deserialization
```
Invoke via: `@security-reviewer review the auth module`
### Dynamic Agents via CLI
```
terminal(command="claude --agents '{\"reviewer\": {\"description\": \"Reviews code\", \"prompt\": \"You are a code reviewer focused on performance\"}}' -p 'Use @reviewer to check auth.py'", timeout=120)
```
Claude can orchestrate multiple agents: "Use @db-expert to optimize queries, then @security to audit the changes."
## Hooks — Automation on Events
Configure in `.claude/settings.json` (project) or `~/.claude/settings.json` (global):
```json
{
"hooks": {
"PostToolUse": [{
"matcher": "Write(*.py)",
"hooks": [{"type": "command", "command": "ruff check --fix $CLAUDE_FILE_PATHS"}]
}],
"PreToolUse": [{
"matcher": "Bash",
"hooks": [{"type": "command", "command": "if echo \"$CLAUDE_TOOL_INPUT\" | grep -q 'rm -rf'; then echo 'Blocked!' && exit 2; fi"}]
}],
"Stop": [{
"hooks": [{"type": "command", "command": "echo 'Claude finished a response' >> /tmp/claude-activity.log"}]
}]
}
}
```
### All 8 Hook Types
| Hook | When it fires | Common use |
|------|--------------|------------|
| `UserPromptSubmit` | Before Claude processes a user prompt | Input validation, logging |
| `PreToolUse` | Before tool execution | Security gates, block dangerous commands (exit 2 = block) |
| `PostToolUse` | After a tool finishes | Auto-format code, run linters |
| `Notification` | On permission requests or input waits | Desktop notifications, alerts |
| `Stop` | When Claude finishes a response | Completion logging, status updates |
| `SubagentStop` | When a subagent completes | Agent orchestration |
| `PreCompact` | Before context memory is cleared | Backup session transcripts |
| `SessionStart` | When a session begins | Load dev context (e.g., `git status`) |
### Hook Environment Variables
| Variable | Content |
|----------|---------|
| `CLAUDE_PROJECT_DIR` | Current project path |
| `CLAUDE_FILE_PATHS` | Files being modified |
| `CLAUDE_TOOL_INPUT` | Tool parameters as JSON |
### Security Hook Examples
```json
{
"PreToolUse": [{
"matcher": "Bash",
"hooks": [{"type": "command", "command": "if echo \"$CLAUDE_TOOL_INPUT\" | grep -qE 'rm -rf|git push.*--force|:(){ :|:& };:'; then echo 'Dangerous command blocked!' && exit 2; fi"}]
}]
}
```
## MCP Integration
Add external tool servers for databases, APIs, and services:
```
# GitHub integration
terminal(command="claude mcp add -s user github -- npx @modelcontextprotocol/server-github", timeout=30)
# PostgreSQL queries
terminal(command="claude mcp add -s local postgres -- npx @anthropic-ai/server-postgres --connection-string postgresql://localhost/mydb", timeout=30)
# Puppeteer for web testing
terminal(command="claude mcp add puppeteer -- npx @anthropic-ai/server-puppeteer", timeout=30)
```
### MCP Scopes
| Flag | Scope | Storage |
|------|-------|---------|
| `-s user` | Global (all projects) | `~/.claude.json` |
| `-s local` | This project (personal) | `.claude/settings.local.json` (gitignored) |
| `-s project` | This project (team-shared) | `.claude/settings.json` (git-tracked) |
### MCP in Print/CI Mode
```
terminal(command="claude --bare -p 'Query database' --mcp-config mcp-servers.json --strict-mcp-config", timeout=60)
```
`--strict-mcp-config` ignores all MCP servers except those from `--mcp-config`.
Reference MCP resources in chat: `@github:issue://123`
### MCP Limits & Tuning
- **Tool descriptions:** 2KB cap per server for tool descriptions and server instructions
- **Result size:** Default capped; use `maxResultSizeChars` annotation to allow up to **500K** characters for large outputs
- **Output tokens:** `export MAX_MCP_OUTPUT_TOKENS=50000` — cap output from MCP servers to prevent context flooding
- **Transports:** `stdio` (local process), `http` (remote), `sse` (server-sent events)
## Monitoring Interactive Sessions
### Reading the TUI Status
```
# Periodic capture to check if Claude is still working or waiting for input
terminal(command="tmux capture-pane -t dev -p -S -10")
```
Look for these indicators:
- `` at bottom = waiting for your input (Claude is done or asking a question)
- `●` lines = Claude is actively using tools (reading, writing, running commands)
- `⏵⏵ bypass permissions on` = status bar showing permissions mode
- `◐ medium · /effort` = current effort level in status bar
- `ctrl+o to expand` = tool output was truncated (can be expanded interactively)
### Context Window Health
Use `/context` in interactive mode to see a colored grid of context usage. Key thresholds:
- **< 70%** — Normal operation, full precision
- **70-85%** — Precision starts dropping, consider `/compact`
- **> 85%** — Hallucination risk spikes significantly, use `/compact` or `/clear`
## Environment Variables
| Variable | Effect |
|----------|--------|
| `ANTHROPIC_API_KEY` | API key for authentication (alternative to OAuth) |
| `CLAUDE_CODE_EFFORT_LEVEL` | Default effort: `low`, `medium`, `high`, `max`, or `auto` |
| `MAX_THINKING_TOKENS` | Cap thinking tokens (set to `0` to disable thinking entirely) |
| `MAX_MCP_OUTPUT_TOKENS` | Cap output from MCP servers (default varies; set e.g., `50000`) |
| `CLAUDE_CODE_NO_FLICKER=1` | Enable alt-screen rendering to eliminate terminal flicker |
| `CLAUDE_CODE_SUBPROCESS_ENV_SCRUB` | Strip credentials from sub-processes for security |
## Cost & Performance Tips
1. **Use `--max-turns`** in print mode to prevent runaway loops. Start with 5-10 for most tasks.
2. **Use `--max-budget-usd`** for cost caps. Note: minimum ~$0.05 for system prompt cache creation.
3. **Use `--effort low`** for simple tasks (faster, cheaper). `high` or `max` for complex reasoning.
4. **Use `--bare`** for CI/scripting to skip plugin/hook discovery overhead.
5. **Use `--allowedTools`** to restrict to only what's needed (e.g., `Read` only for reviews).
6. **Use `/compact`** in interactive sessions when context gets large.
7. **Pipe input** instead of having Claude read files when you just need analysis of known content.
8. **Use `--model haiku`** for simple tasks (cheaper) and `--model opus` for complex multi-step work.
9. **Use `--fallback-model haiku`** in print mode to gracefully handle model overload.
10. **Start new sessions for distinct tasks** — sessions last 5 hours; fresh context is more efficient.
11. **Use `--no-session-persistence`** in CI to avoid accumulating saved sessions on disk.
## Pitfalls & Gotchas
1. **Interactive mode REQUIRES tmux** — Claude Code is a full TUI app. Using `pty=true` alone in Hermes terminal works but tmux gives you `capture-pane` for monitoring and `send-keys` for input, which is essential for orchestration.
2. **`--dangerously-skip-permissions` dialog defaults to "No, exit"** — you must send Down then Enter to accept. Print mode (`-p`) skips this entirely.
3. **`--max-budget-usd` minimum is ~$0.05** — system prompt cache creation alone costs this much. Setting lower will error immediately.
4. **`--max-turns` is print-mode only** — ignored in interactive sessions.
5. **Claude may use `python` instead of `python3`** — on systems without a `python` symlink, Claude's bash commands will fail on first try but it self-corrects.
6. **Session resumption requires same directory**`--continue` finds the most recent session for the current working directory.
7. **`--json-schema` needs enough `--max-turns`** — Claude must read files before producing structured output, which takes multiple turns.
8. **Trust dialog only appears once per directory** — first-time only, then cached.
9. **Background tmux sessions persist** — always clean up with `tmux kill-session -t <name>` when done.
10. **Slash commands (like `/commit`) only work in interactive mode** — in `-p` mode, describe the task in natural language instead.
11. **`--bare` skips OAuth** — requires `ANTHROPIC_API_KEY` env var or an `apiKeyHelper` in settings.
12. **Context degradation is real** — AI output quality measurably degrades above 70% context window usage. Monitor with `/context` and proactively `/compact`.
## Rules for Hermes Agents
1. **Prefer print mode (`-p`) for single tasks** — cleaner, no dialog handling, structured output
2. **Use tmux for multi-turn interactive work** — the only reliable way to orchestrate the TUI
3. **Always set `workdir`** — keep Claude focused on the right project directory
4. **Set `--max-turns` in print mode** — prevents infinite loops and runaway costs
5. **Monitor tmux sessions** — use `tmux capture-pane -t <session> -p -S -50` to check progress
6. **Look for the `` prompt** — indicates Claude is waiting for input (done or asking a question)
7. **Clean up tmux sessions** — kill them when done to avoid resource leaks
8. **Report results to user** — after completion, summarize what Claude did and what changed
9. **Don't kill slow sessions** — Claude may be doing multi-step work; check progress instead
10. **Use `--allowedTools`** — restrict capabilities to what the task actually needs
+23
View File
@@ -0,0 +1,23 @@
# Manim Video Skill
Production pipeline for mathematical and technical animations using [Manim Community Edition](https://www.manim.community/).
## What it does
Creates 3Blue1Brown-style animated videos from text prompts. The agent handles the full pipeline: creative planning, Python code generation, rendering, scene stitching, and iterative refinement.
## Use cases
- **Concept explainers** — "Explain how neural networks learn"
- **Equation derivations** — "Animate the proof of the Pythagorean theorem"
- **Algorithm visualizations** — "Show how quicksort works step by step"
- **Data stories** — "Animate our before/after performance metrics"
- **Architecture diagrams** — "Show our microservice architecture building up"
## Prerequisites
Python 3.10+, Manim CE (`pip install manim`), LaTeX, ffmpeg.
```bash
bash skills/creative/manim-video/scripts/setup.sh
```
+241
View File
@@ -0,0 +1,241 @@
---
name: manim-video
description: "Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations, algorithm walkthroughs, technical explainers, 3Blue1Brown style videos, or any programmatic animation with geometric/mathematical content."
version: 1.0.0
---
# Manim Video Production Pipeline
## Creative Standard
This is educational cinema. Every frame teaches. Every animation reveals structure.
**Before writing a single line of code**, articulate the narrative arc. What misconception does this correct? What is the "aha moment"? What visual story takes the viewer from confusion to understanding? The user's prompt is a starting point — interpret it with pedagogical ambition.
**Geometry before algebra.** Show the shape first, the equation second. Visual memory encodes faster than symbolic memory. When the viewer sees the geometric pattern before the formula, the equation feels earned.
**First-render excellence is non-negotiable.** The output must be visually clear and aesthetically cohesive without revision rounds. If something looks cluttered, poorly timed, or like "AI-generated slides," it is wrong.
**Opacity layering directs attention.** Never show everything at full brightness. Primary elements at 1.0, contextual elements at 0.4, structural elements (axes, grids) at 0.15. The brain processes visual salience in layers.
**Breathing room.** Every animation needs `self.wait()` after it. The viewer needs time to absorb what just appeared. Never rush from one animation to the next. A 2-second pause after a key reveal is never wasted.
**Cohesive visual language.** All scenes share a color palette, consistent typography sizing, matching animation speeds. A technically correct video where every scene uses random different colors is an aesthetic failure.
## Prerequisites
Run `scripts/setup.sh` to verify all dependencies. Requires: Python 3.10+, Manim Community Edition (`pip install manim`), LaTeX (`texlive-full` on Linux, `mactex` on macOS), and ffmpeg.
## Modes
| Mode | Input | Output | Reference |
|------|-------|--------|-----------|
| **Concept explainer** | Topic/concept | Animated explanation with geometric intuition | `references/scene-planning.md` |
| **Equation derivation** | Math expressions | Step-by-step animated proof | `references/equations.md` |
| **Algorithm visualization** | Algorithm description | Step-by-step execution with data structures | `references/graphs-and-data.md` |
| **Data story** | Data/metrics | Animated charts, comparisons, counters | `references/graphs-and-data.md` |
| **Architecture diagram** | System description | Components building up with connections | `references/mobjects.md` |
| **Paper explainer** | Research paper | Key findings and methods animated | `references/scene-planning.md` |
| **3D visualization** | 3D concept | Rotating surfaces, parametric curves, spatial geometry | `references/camera-and-3d.md` |
## Stack
Single Python script per project. No browser, no Node.js, no GPU required.
| Layer | Tool | Purpose |
|-------|------|---------|
| Core | Manim Community Edition | Scene rendering, animation engine |
| Math | LaTeX (texlive/MiKTeX) | Equation rendering via `MathTex` |
| Video I/O | ffmpeg | Scene stitching, format conversion, audio muxing |
| TTS | ElevenLabs / Qwen3-TTS (optional) | Narration voiceover |
## Pipeline
```
PLAN --> CODE --> RENDER --> STITCH --> AUDIO (optional) --> REVIEW
```
1. **PLAN** — Write `plan.md` with narrative arc, scene list, visual elements, color palette, voiceover script
2. **CODE** — Write `script.py` with one class per scene, each independently renderable
3. **RENDER**`manim -ql script.py Scene1 Scene2 ...` for draft, `-qh` for production
4. **STITCH** — ffmpeg concat of scene clips into `final.mp4`
5. **AUDIO** (optional) — Add voiceover and/or background music via ffmpeg. See `references/rendering.md`
6. **REVIEW** — Render preview stills, verify against plan, adjust
## Project Structure
```
project-name/
plan.md # Narrative arc, scene breakdown
script.py # All scenes in one file
concat.txt # ffmpeg scene list
final.mp4 # Stitched output
media/ # Auto-generated by Manim
videos/script/480p15/
```
## Creative Direction
### Color Palettes
| Palette | Background | Primary | Secondary | Accent | Use case |
|---------|-----------|---------|-----------|--------|----------|
| **Classic 3B1B** | `#1C1C1C` | `#58C4DD` (BLUE) | `#83C167` (GREEN) | `#FFFF00` (YELLOW) | General math/CS |
| **Warm academic** | `#2D2B55` | `#FF6B6B` | `#FFD93D` | `#6BCB77` | Approachable |
| **Neon tech** | `#0A0A0A` | `#00F5FF` | `#FF00FF` | `#39FF14` | Systems, architecture |
| **Monochrome** | `#1A1A2E` | `#EAEAEA` | `#888888` | `#FFFFFF` | Minimalist |
### Animation Speed
| Context | run_time | self.wait() after |
|---------|----------|-------------------|
| Title/intro appear | 1.5s | 1.0s |
| Key equation reveal | 2.0s | 2.0s |
| Transform/morph | 1.5s | 1.5s |
| Supporting label | 0.8s | 0.5s |
| FadeOut cleanup | 0.5s | 0.3s |
| "Aha moment" reveal | 2.5s | 3.0s |
### Typography Scale
| Role | Font size | Usage |
|------|-----------|-------|
| Title | 48 | Scene titles, opening text |
| Heading | 36 | Section headers within a scene |
| Body | 30 | Explanatory text |
| Label | 24 | Annotations, axis labels |
| Caption | 20 | Subtitles, fine print |
### Fonts
**Use monospace fonts for all text.** Manim's Pango renderer produces broken kerning with proportional fonts at all sizes. See `references/visual-design.md` for full recommendations.
```python
MONO = "Menlo" # define once at top of file
Text("Fourier Series", font_size=48, font=MONO, weight=BOLD) # titles
Text("n=1: sin(x)", font_size=20, font=MONO) # labels
MathTex(r"\nabla L") # math (uses LaTeX)
```
Minimum `font_size=18` for readability.
### Per-Scene Variation
Never use identical config for all scenes. For each scene:
- **Different dominant color** from the palette
- **Different layout** — don't always center everything
- **Different animation entry** — vary between Write, FadeIn, GrowFromCenter, Create
- **Different visual weight** — some scenes dense, others sparse
## Workflow
### Step 1: Plan (plan.md)
Before any code, write `plan.md`. See `references/scene-planning.md` for the comprehensive template.
### Step 2: Code (script.py)
One class per scene. Every scene is independently renderable.
```python
from manim import *
BG = "#1C1C1C"
PRIMARY = "#58C4DD"
SECONDARY = "#83C167"
ACCENT = "#FFFF00"
MONO = "Menlo"
class Scene1_Introduction(Scene):
def construct(self):
self.camera.background_color = BG
title = Text("Why Does This Work?", font_size=48, color=PRIMARY, weight=BOLD, font=MONO)
self.add_subcaption("Why does this work?", duration=2)
self.play(Write(title), run_time=1.5)
self.wait(1.0)
self.play(FadeOut(title), run_time=0.5)
```
Key patterns:
- **Subtitles** on every animation: `self.add_subcaption("text", duration=N)` or `subcaption="text"` on `self.play()`
- **Shared color constants** at file top for cross-scene consistency
- **`self.camera.background_color`** set in every scene
- **Clean exits** — FadeOut all mobjects at scene end: `self.play(FadeOut(Group(*self.mobjects)))`
### Step 3: Render
```bash
manim -ql script.py Scene1_Introduction Scene2_CoreConcept # draft
manim -qh script.py Scene1_Introduction Scene2_CoreConcept # production
```
### Step 4: Stitch
```bash
cat > concat.txt << 'EOF'
file 'media/videos/script/480p15/Scene1_Introduction.mp4'
file 'media/videos/script/480p15/Scene2_CoreConcept.mp4'
EOF
ffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4
```
### Step 5: Review
```bash
manim -ql --format=png -s script.py Scene2_CoreConcept # preview still
```
## Critical Implementation Notes
### Raw Strings for LaTeX
```python
# WRONG: MathTex("\frac{1}{2}")
# RIGHT:
MathTex(r"\frac{1}{2}")
```
### buff >= 0.5 for Edge Text
```python
label.to_edge(DOWN, buff=0.5) # never < 0.5
```
### FadeOut Before Replacing Text
```python
self.play(ReplacementTransform(note1, note2)) # not Write(note2) on top
```
### Never Animate Non-Added Mobjects
```python
self.play(Create(circle)) # must add first
self.play(circle.animate.set_color(RED)) # then animate
```
## Performance Targets
| Quality | Resolution | FPS | Speed |
|---------|-----------|-----|-------|
| `-ql` (draft) | 854x480 | 15 | 5-15s/scene |
| `-qm` (medium) | 1280x720 | 30 | 15-60s/scene |
| `-qh` (production) | 1920x1080 | 60 | 30-120s/scene |
Always iterate at `-ql`. Only render `-qh` for final output.
## References
| File | Contents |
|------|----------|
| `references/animations.md` | Core animations, rate functions, composition, `.animate` syntax, timing patterns |
| `references/mobjects.md` | Text, shapes, VGroup/Group, positioning, styling, custom mobjects |
| `references/visual-design.md` | 12 design principles, opacity layering, layout templates, color palettes |
| `references/equations.md` | LaTeX in Manim, TransformMatchingTex, derivation patterns |
| `references/graphs-and-data.md` | Axes, plotting, BarChart, animated data, algorithm visualization |
| `references/camera-and-3d.md` | MovingCameraScene, ThreeDScene, 3D surfaces, camera control |
| `references/scene-planning.md` | Narrative arcs, layout templates, scene transitions, planning template |
| `references/rendering.md` | CLI reference, quality presets, ffmpeg, voiceover workflow, GIF export |
| `references/troubleshooting.md` | LaTeX errors, animation errors, common mistakes, debugging |
| `references/animation-design-thinking.md` | When to animate vs show static, decomposition, pacing, narration sync |
| `references/updaters-and-trackers.md` | ValueTracker, add_updater, always_redraw, time-based updaters, patterns |
| `references/paper-explainer.md` | Turning research papers into animations — workflow, templates, domain patterns |
| `references/decorations.md` | SurroundingRectangle, Brace, arrows, DashedLine, Angle, annotation lifecycle |
| `references/production-quality.md` | Pre-code, pre-render, post-render checklists, spatial layout, color, tempo |
@@ -0,0 +1,161 @@
# Animation Design Thinking
How to decide WHAT to animate and HOW to structure it — before writing any code.
## Should I animate this?
Not everything benefits from animation. Motion adds cognitive load. Bad animation is worse than a good static diagram.
**Animate when:**
- A sequence unfolds over time (algorithm steps, derivation, pipeline stages)
- Spatial relationships change (transformation, deformation, rotation)
- Something is built from parts (construction, assembly, accumulation)
- You're comparing states (before/after, method A vs method B)
- Temporal evolution is the point (training curves, wave propagation, gradient descent)
**Show static when:**
- The concept is a single labeled diagram (circuit, anatomy, architecture overview)
- Motion would distract from spatial layout
- The viewer needs to study it carefully (dense table, reference chart)
- The concept is already intuitive from a well-labeled figure
**Rule of thumb:** If you'd explain it with "first X, then Y, then Z" — animate it. If you'd explain it by pointing at parts of one picture — show it static.
## Decomposing a concept into animation
### Step 1: Write the narration first
Before any code, write what the narrator would say. This determines:
- **Order** — what concept comes first
- **Duration** — how long each idea gets
- **Visuals** — what the viewer must SEE when they HEAR each sentence
A scene where the narration says "the gradient points uphill" must show a gradient arrow at that moment. If the visual doesn't match the audio, the viewer's brain splits attention and both tracks are lost.
### Step 2: Identify visual beats
A "beat" is a moment where something changes on screen. Mark each beat in your narration:
```
"Consider a function f of x." → [BEAT: axes + curve appear]
"At this point..." → [BEAT: dot appears on curve]
"...the slope is positive." → [BEAT: tangent line drawn]
"So the gradient tells us to go left." → [BEAT: arrow points left, dot moves]
```
Each beat is one `self.play()` call or a small group of simultaneous animations.
### Step 3: Choose the right tool per beat
| Visual need | Manim approach |
|-------------|----------------|
| Object appears for first time | `Create`, `Write`, `FadeIn`, `GrowFromCenter` |
| Object transforms into another | `Transform`, `ReplacementTransform`, `FadeTransform` |
| Attention drawn to existing object | `Indicate`, `Circumscribe`, `Flash`, `ShowPassingFlash` |
| Continuous relationship maintained | `add_updater`, `always_redraw`, `ValueTracker` |
| Object leaves the scene | `FadeOut`, `Uncreate`, `ShrinkToCenter` |
| Static context that stays visible | `self.add()` (no animation) |
## Pacing: the universal mistake is too fast
### Timing rules
| Content type | Minimum on-screen time |
|-------------|----------------------|
| New equation appearing | 2.0s animation + 2.0s pause |
| New concept label | 1.0s animation + 1.0s pause |
| Key insight ("aha moment") | 2.5s animation + 3.0s pause |
| Supporting annotation | 0.8s animation + 0.5s pause |
| Scene transition (FadeOut all) | 0.5s animation + 0.3s pause |
### Breathing room
After every reveal, add `self.wait()`. The viewer needs time to:
1. Read the new text
2. Connect it to what's already on screen
3. Form an expectation about what comes next
**No wait = the viewer is always behind you.** They're still reading the equation when you've already started transforming it.
### Tempo variation
Monotonous pacing feels like a lecture. Vary the tempo:
- **Slow build** for core concepts (long run_time, long pauses)
- **Quick succession** for supporting details (short run_time, minimal pauses)
- **Dramatic pause** before the key reveal (extra `self.wait(2.0)` before the "aha")
- **Rapid montage** for "and this applies to X, Y, Z..." sequences (`LaggedStart` with tight lag_ratio)
## Narration synchronization
### The "see then hear" principle
The visual should appear slightly BEFORE the narration describes it. When the viewer sees a circle appear and THEN hears "consider a circle," the visual primes their brain for the concept. The reverse — hearing first, seeing second — creates confusion because they're searching the screen for something that isn't there yet.
### Practical timing
```python
# Scene duration should match narration duration.
# If narration for this scene is 8 seconds:
# Total animation run_times + total self.wait() times = ~8 seconds.
# Use manim-voiceover for automatic sync:
with self.voiceover(text="The gradient points downhill") as tracker:
self.play(GrowArrow(gradient_arrow), run_time=tracker.duration)
```
## Equation decomposition strategy
### The "dim and reveal" pattern
When building a complex equation step by step:
1. Show the full equation dimmed at `opacity=0.2` (sets expectation for where you're going)
2. Highlight the first term at full opacity
3. Explain it
4. Highlight the next term, dim the first to `0.5` (it's now context)
5. Repeat until the full equation is bright
This is better than building left-to-right because the viewer always sees the destination.
### Term ordering
Animate terms in the order the viewer needs to understand them, not in the order they appear in the equation. For `E = mc²`:
- Show `E` (the thing we want to know)
- Then `m` (the input)
- Then `c²` (the constant that makes it work)
- Then the `=` (connecting them)
## Architecture and pipeline diagrams
### Box granularity
The most common mistake: too many boxes. Each box is a concept the viewer must track. Five boxes with clear labels beats twelve boxes with abbreviations.
**Rule:** If two consecutive boxes could be labeled "X" and "process X output," merge them into one box.
### Animation strategy
Build pipelines left-to-right (or top-to-bottom) with arrows connecting them:
1. First box appears alone → explain it
2. Arrow grows from first to second → "the output feeds into..."
3. Second box appears → explain it
4. Repeat
Then show data flowing through: `ShowPassingFlash` along the arrows, or a colored dot traversing the path.
### The zoom-and-return pattern
For complex systems:
1. Show the full overview (all boxes, small)
2. Zoom into one box (`MovingCameraScene.camera.frame.animate`)
3. Expand that box into its internal components
4. Zoom back out to the overview
5. Zoom into the next box
## Common design mistakes
1. **Animating everything at once.** The viewer can track 1-2 simultaneous animations. More than that and nothing registers.
2. **No visual hierarchy.** Everything at the same opacity/size/color means nothing stands out. Use opacity layering.
3. **Equations without context.** An equation appearing alone means nothing. Always show the geometric/visual interpretation first or simultaneously.
4. **Skipping the "why."** Showing HOW a transformation works without WHY it matters. Add a sentence/label explaining the purpose.
5. **Identical pacing throughout.** Every animation at run_time=1.5, every wait at 1.0. Vary it.
6. **Forgetting the audience.** A video for high schoolers needs different pacing and complexity than one for PhD students. Decide the audience in the planning phase.
@@ -0,0 +1,257 @@
# Animations Reference
## Core Concept
An animation is a Python object that computes intermediate visual states of a mobject over time. Animations are objects passed to `self.play()`, not functions.
`run_time` controls seconds (default: 1). Always specify it explicitly for important animations.
## Creation Animations
```python
self.play(Create(circle)) # traces outline
self.play(Write(equation)) # simulates handwriting (for Text/MathTex)
self.play(FadeIn(group)) # opacity 0 -> 1
self.play(GrowFromCenter(dot)) # scale 0 -> 1 from center
self.play(DrawBorderThenFill(sq)) # outline first, then fill
```
## Removal Animations
```python
self.play(FadeOut(mobject)) # opacity 1 -> 0
self.play(Uncreate(circle)) # reverse of Create
self.play(ShrinkToCenter(group)) # scale 1 -> 0
```
## Transform Animations
```python
# Transform -- modifies the original in place
self.play(Transform(circle, square))
# After: circle IS the square (same object, new appearance)
# ReplacementTransform -- replaces old with new
self.play(ReplacementTransform(circle, square))
# After: circle removed, square on screen
# TransformMatchingTex -- smart equation morphing
eq1 = MathTex(r"a^2 + b^2")
eq2 = MathTex(r"a^2 + b^2 = c^2")
self.play(TransformMatchingTex(eq1, eq2))
```
**Critical**: After `Transform(A, B)`, variable `A` references the on-screen mobject. Variable `B` is NOT on screen. Use `ReplacementTransform` when you want to work with `B` afterwards.
## The .animate Syntax
```python
self.play(circle.animate.set_color(RED))
self.play(circle.animate.shift(RIGHT * 2).scale(0.5)) # chain multiple
```
## Emphasis Animations
```python
self.play(Indicate(mobject)) # brief yellow flash + scale
self.play(Circumscribe(mobject)) # draw rectangle around it
self.play(Flash(point)) # radial flash
self.play(Wiggle(mobject)) # shake side to side
```
## Rate Functions
```python
self.play(FadeIn(mob), rate_func=smooth) # default: ease in/out
self.play(FadeIn(mob), rate_func=linear) # constant speed
self.play(FadeIn(mob), rate_func=rush_into) # start slow, end fast
self.play(FadeIn(mob), rate_func=rush_from) # start fast, end slow
self.play(FadeIn(mob), rate_func=there_and_back) # animate then reverse
```
## Composition
```python
# Simultaneous
self.play(FadeIn(title), Create(circle), run_time=2)
# AnimationGroup with lag
self.play(AnimationGroup(*[FadeIn(i) for i in items], lag_ratio=0.2))
# LaggedStart
self.play(LaggedStart(*[Write(l) for l in lines], lag_ratio=0.3, run_time=3))
# Succession (sequential in one play call)
self.play(Succession(FadeIn(title), Wait(0.5), Write(subtitle)))
```
## Updaters
```python
tracker = ValueTracker(0)
dot = Dot().add_updater(lambda m: m.move_to(axes.c2p(tracker.get_value(), 0)))
self.play(tracker.animate.set_value(5), run_time=3)
```
## Subtitles
```python
# Method 1: standalone
self.add_subcaption("Key insight", duration=2)
self.play(Write(equation), run_time=2.0)
# Method 2: inline
self.play(Write(equation), subcaption="Key insight", subcaption_duration=2)
```
Manim auto-generates `.srt` subtitle files. Always add subcaptions for accessibility.
## Timing Patterns
```python
# Pause-after-reveal
self.play(Write(key_equation), run_time=2.0)
self.wait(2.0)
# Dim-and-focus
self.play(old_content.animate.set_opacity(0.3), FadeIn(new_content))
# Clean exit
self.play(FadeOut(Group(*self.mobjects)), run_time=0.5)
self.wait(0.3)
```
## Reactive Mobjects: always_redraw()
Rebuild a mobject from scratch every frame — essential when its geometry depends on other animated objects:
```python
# Brace that follows a resizing square
brace = always_redraw(Brace, square, UP)
self.add(brace)
self.play(square.animate.scale(2)) # brace auto-adjusts
# Horizontal line that tracks a moving dot
h_line = always_redraw(lambda: axes.get_h_line(dot.get_left()))
# Label that always stays next to another mobject
label = always_redraw(lambda: Text("here", font_size=20).next_to(dot, UP, buff=0.2))
```
Note: `always_redraw` recreates the mobject every frame. For simple property tracking, use `add_updater` instead (cheaper):
```python
label.add_updater(lambda m: m.next_to(dot, UP))
```
## TracedPath — Trajectory Tracing
Draw the path a point has traveled:
```python
dot = Dot(color=YELLOW)
path = TracedPath(dot.get_center, stroke_color=YELLOW, stroke_width=2)
self.add(dot, path)
self.play(dot.animate.shift(RIGHT * 3 + UP * 2), run_time=2)
# path shows the trail the dot left behind
# Fading trail (dissipates over time):
path = TracedPath(dot.get_center, dissipating_time=0.5, stroke_opacity=[0, 1])
```
Use cases: gradient descent paths, planetary orbits, function tracing, particle trajectories.
## FadeTransform — Smoother Cross-Fades
`Transform` morphs shapes through ugly intermediate warping. `FadeTransform` cross-fades with position matching — use it when source and target look different:
```python
# UGLY: Transform warps circle into square through a blob
self.play(Transform(circle, square))
# SMOOTH: FadeTransform cross-fades cleanly
self.play(FadeTransform(circle, square))
# FadeTransformPieces: per-submobject FadeTransform
self.play(FadeTransformPieces(group1, group2))
# TransformFromCopy: animate a COPY while keeping the original visible
self.play(TransformFromCopy(source, target))
# source stays on screen, a copy morphs into target
```
**Recommendation:** Use `FadeTransform` as default for dissimilar shapes. Use `Transform`/`ReplacementTransform` only for similar shapes (circle→ellipse, equation→equation).
## ApplyMatrix — Linear Transformation Visualization
Animate a matrix transformation on mobjects:
```python
# Apply a 2x2 matrix to a grid
matrix = [[2, 1], [1, 1]]
self.play(ApplyMatrix(matrix, number_plane), run_time=2)
# Also works on individual mobjects
self.play(ApplyMatrix([[0, -1], [1, 0]], square)) # 90-degree rotation
```
Pairs with `LinearTransformationScene` — see `camera-and-3d.md`.
## squish_rate_func — Time-Window Staggering
Compress any rate function into a time window within an animation. Enables overlapping stagger without `LaggedStart`:
```python
self.play(
FadeIn(a, rate_func=squish_rate_func(smooth, 0, 0.5)), # 0% to 50%
FadeIn(b, rate_func=squish_rate_func(smooth, 0.25, 0.75)), # 25% to 75%
FadeIn(c, rate_func=squish_rate_func(smooth, 0.5, 1.0)), # 50% to 100%
run_time=2
)
```
More precise than `LaggedStart` when you need exact overlap control.
## Additional Rate Functions
```python
from manim import (
smooth, linear, rush_into, rush_from,
there_and_back, there_and_back_with_pause,
running_start, double_smooth, wiggle,
lingering, exponential_decay, not_quite_there,
squish_rate_func
)
# running_start: pulls back before going forward (anticipation)
self.play(FadeIn(mob, rate_func=running_start))
# there_and_back_with_pause: goes there, holds, comes back
self.play(mob.animate.shift(UP), rate_func=there_and_back_with_pause)
# not_quite_there: stops at a fraction of the full animation
self.play(FadeIn(mob, rate_func=not_quite_there(0.7)))
```
## ShowIncreasingSubsets / ShowSubmobjectsOneByOne
Reveal group members progressively — ideal for algorithm visualization:
```python
# Reveal array elements one at a time
array = Group(*[Square() for _ in range(8)]).arrange(RIGHT)
self.play(ShowIncreasingSubsets(array), run_time=3)
# Show submobjects with staggered appearance
self.play(ShowSubmobjectsOneByOne(code_lines), run_time=4)
```
## ShowPassingFlash
A flash of light travels along a path:
```python
# Flash traveling along a curve
self.play(ShowPassingFlash(curve.copy().set_color(YELLOW), time_width=0.3))
# Great for: data flow, electrical signals, network traffic
```
@@ -0,0 +1,135 @@
# Camera and 3D Reference
## MovingCameraScene (2D Camera Control)
```python
class ZoomExample(MovingCameraScene):
def construct(self):
circle = Circle(radius=2, color=BLUE)
self.play(Create(circle))
# Zoom in
self.play(self.camera.frame.animate.set(width=4).move_to(circle.get_top()), run_time=2)
self.wait(2)
# Zoom back out
self.play(self.camera.frame.animate.set(width=14.222).move_to(ORIGIN), run_time=2)
```
### Camera Operations
```python
self.camera.frame.animate.set(width=6) # zoom in
self.camera.frame.animate.set(width=20) # zoom out
self.camera.frame.animate.move_to(target) # pan
self.camera.frame.save_state() # save
self.play(Restore(self.camera.frame)) # restore
```
## ThreeDScene
```python
class ThreeDExample(ThreeDScene):
def construct(self):
self.set_camera_orientation(phi=60*DEGREES, theta=-45*DEGREES)
axes = ThreeDAxes()
surface = Surface(
lambda u, v: axes.c2p(u, v, np.sin(u) * np.cos(v)),
u_range=[-PI, PI], v_range=[-PI, PI], resolution=(30, 30)
)
surface.set_color_by_gradient(BLUE, GREEN, YELLOW)
self.play(Create(axes), Create(surface))
self.begin_ambient_camera_rotation(rate=0.2)
self.wait(5)
self.stop_ambient_camera_rotation()
```
### Camera Control in 3D
```python
self.set_camera_orientation(phi=70*DEGREES, theta=-45*DEGREES)
self.move_camera(phi=45*DEGREES, theta=30*DEGREES, run_time=2)
self.begin_ambient_camera_rotation(rate=0.2)
```
### 3D Mobjects
```python
sphere = Sphere(radius=1).set_color(BLUE).set_opacity(0.7)
cube = Cube(side_length=2, fill_color=GREEN, fill_opacity=0.5)
arrow = Arrow3D(start=ORIGIN, end=[2, 1, 1], color=RED)
# 2D text facing camera:
label = Text("Label", font_size=30)
self.add_fixed_in_frame_mobjects(label)
```
### Parametric Curves
```python
helix = ParametricFunction(
lambda t: [np.cos(t), np.sin(t), t / (2*PI)],
t_range=[0, 4*PI], color=YELLOW
)
```
## When to Use 3D
- Surfaces, vector fields, spatial geometry, 3D transforms
## When NOT to Use 3D
- 2D concepts, text-heavy scenes, flat data (bar charts, time series)
## ZoomedScene — Inset Zoom
Show a magnified inset of a detail while keeping the full view visible:
```python
class ZoomExample(ZoomedScene):
def __init__(self, **kwargs):
super().__init__(
zoom_factor=0.3, # how much of the scene the zoom box covers
zoomed_display_height=3, # size of the inset
zoomed_display_width=3,
zoomed_camera_frame_starting_position=ORIGIN,
**kwargs
)
def construct(self):
self.camera.background_color = BG
# ... create your scene content ...
# Activate the zoom
self.activate_zooming()
# Move the zoom frame to a point of interest
self.play(self.zoomed_camera.frame.animate.move_to(detail_point))
self.wait(2)
# Deactivate
self.play(self.get_zoomed_display_pop_out_animation(), rate_func=lambda t: smooth(1-t))
```
Use cases: zooming into a specific term in an equation, showing fine detail in a diagram, magnifying a region of a plot.
## LinearTransformationScene — Linear Algebra
Pre-built scene with basis vectors and grid for visualizing matrix transformations:
```python
class LinearTransformExample(LinearTransformationScene):
def __init__(self, **kwargs):
super().__init__(
show_coordinates=True,
show_basis_vectors=True,
**kwargs
)
def construct(self):
matrix = [[2, 1], [1, 1]]
# Add a vector before applying the transform
vector = self.get_vector([1, 2], color=YELLOW)
self.add_vector(vector)
# Apply the transformation — grid, basis vectors, and your vector all transform
self.apply_matrix(matrix)
self.wait(2)
```
This produces the signature 3Blue1Brown "Essence of Linear Algebra" look — grid lines deforming, basis vectors stretching, determinant visualized through area change.
@@ -0,0 +1,202 @@
# Decorations and Visual Polish
Decorations are mobjects that annotate, highlight, or frame other mobjects. They turn a technically correct animation into a visually polished one.
## SurroundingRectangle
Draws a rectangle around any mobject. The go-to for highlighting:
```python
highlight = SurroundingRectangle(
equation[2], # the term to highlight
color=YELLOW,
buff=0.15, # padding between content and border
corner_radius=0.1, # rounded corners
stroke_width=2
)
self.play(Create(highlight))
self.wait(1)
self.play(FadeOut(highlight))
```
### Around part of an equation
```python
eq = MathTex(r"E", r"=", r"m", r"c^2")
box = SurroundingRectangle(eq[2:], color=YELLOW, buff=0.1) # highlight "mc²"
label = Text("mass-energy", font_size=18, font="Menlo", color=YELLOW)
label.next_to(box, DOWN, buff=0.2)
self.play(Create(box), FadeIn(label))
```
## BackgroundRectangle
Semi-transparent background behind text for readability over complex scenes:
```python
bg = BackgroundRectangle(equation, fill_opacity=0.7, buff=0.2, color=BLACK)
self.play(FadeIn(bg), Write(equation))
# Or using set_stroke for a "backdrop" effect on the text itself:
label.set_stroke(BLACK, width=5, background=True)
```
The `set_stroke(background=True)` approach is cleaner for text labels over graphs/diagrams.
## Brace and BraceLabel
Curly braces that annotate sections of a diagram or equation:
```python
brace = Brace(equation[2:4], DOWN, color=YELLOW)
brace_label = brace.get_text("these terms", font_size=20)
self.play(GrowFromCenter(brace), FadeIn(brace_label))
# Between two specific points
brace = BraceBetweenPoints(point_a, point_b, direction=UP)
```
### Brace placement
```python
# Below a group
Brace(group, DOWN)
# Above a group
Brace(group, UP)
# Left of a group
Brace(group, LEFT)
# Right of a group
Brace(group, RIGHT)
```
## Arrows for Annotation
### Straight arrows pointing to mobjects
```python
arrow = Arrow(
start=label.get_bottom(),
end=target.get_top(),
color=YELLOW,
stroke_width=2,
buff=0.1, # gap between arrow tip and target
max_tip_length_to_length_ratio=0.15 # small arrowhead
)
self.play(GrowArrow(arrow), FadeIn(label))
```
### Curved arrows
```python
arrow = CurvedArrow(
start_point=source.get_right(),
end_point=target.get_left(),
angle=PI/4, # curve angle
color=PRIMARY
)
```
### Labeling with arrows
```python
# LabeledArrow: arrow with built-in text label
arr = LabeledArrow(
Text("gradient", font_size=16, font="Menlo"),
start=point_a, end=point_b, color=RED
)
```
## DashedLine and DashedVMobject
```python
# Dashed line (for asymptotes, construction lines, implied connections)
asymptote = DashedLine(
axes.c2p(2, -3), axes.c2p(2, 3),
color=YELLOW, dash_length=0.15
)
# Make any VMobject dashed
dashed_circle = DashedVMobject(Circle(radius=2, color=BLUE), num_dashes=30)
```
## Angle and RightAngle Markers
```python
line1 = Line(ORIGIN, RIGHT * 2)
line2 = Line(ORIGIN, UP * 2 + RIGHT)
# Angle arc between two lines
angle = Angle(line1, line2, radius=0.5, color=YELLOW)
angle_value = angle.get_value() # radians
# Right angle marker (the small square)
right_angle = RightAngle(line1, Line(ORIGIN, UP * 2), length=0.3, color=WHITE)
```
## Cross (strikethrough)
Mark something as wrong or deprecated:
```python
cross = Cross(old_equation, color=RED, stroke_width=4)
self.play(Create(cross))
# Then show the correct version
```
## Underline
```python
underline = Underline(important_text, color=ACCENT, stroke_width=3)
self.play(Create(underline))
```
## Color Highlighting Workflow
### Method 1: At creation with t2c
```python
text = Text("The gradient is negative here", t2c={"gradient": BLUE, "negative": RED})
```
### Method 2: set_color_by_tex after creation
```python
eq = MathTex(r"\nabla L = -\frac{\partial L}{\partial w}")
eq.set_color_by_tex(r"\nabla", BLUE)
eq.set_color_by_tex(r"\partial", RED)
```
### Method 3: Index into submobjects
```python
eq = MathTex(r"a", r"+", r"b", r"=", r"c")
eq[0].set_color(RED) # "a"
eq[2].set_color(BLUE) # "b"
eq[4].set_color(GREEN) # "c"
```
## Combining Annotations
Layer multiple annotations for emphasis:
```python
# Highlight a term, add a brace, and an arrow — in sequence
box = SurroundingRectangle(eq[2], color=YELLOW, buff=0.1)
brace = Brace(eq[2], DOWN, color=YELLOW)
label = brace.get_text("learning rate", font_size=18)
self.play(Create(box))
self.wait(0.5)
self.play(FadeOut(box), GrowFromCenter(brace), FadeIn(label))
self.wait(1.5)
self.play(FadeOut(brace), FadeOut(label))
```
### The annotation lifecycle
Annotations should follow a rhythm:
1. **Appear** — draw attention (Create, GrowFromCenter)
2. **Hold** — viewer reads and understands (self.wait)
3. **Disappear** — clear the stage for the next thing (FadeOut)
Never leave annotations on screen indefinitely — they become visual noise once their purpose is served.
@@ -0,0 +1,165 @@
# Equations and LaTeX Reference
## Basic LaTeX
```python
eq = MathTex(r"E = mc^2")
eq = MathTex(r"f(x) &= x^2 + 2x + 1 \\ &= (x + 1)^2") # multi-line aligned
```
**Always use raw strings (`r""`).**
## Step-by-Step Derivations
```python
step1 = MathTex(r"a^2 + b^2 = c^2")
step2 = MathTex(r"a^2 = c^2 - b^2")
self.play(Write(step1), run_time=1.5)
self.wait(1.5)
self.play(TransformMatchingTex(step1, step2), run_time=1.5)
```
## Selective Color
```python
eq = MathTex(r"a^2", r"+", r"b^2", r"=", r"c^2")
eq[0].set_color(RED)
eq[4].set_color(GREEN)
```
## Building Incrementally
```python
parts = MathTex(r"f(x)", r"=", r"\sum_{n=0}^{\infty}", r"\frac{f^{(n)}(a)}{n!}", r"(x-a)^n")
self.play(Write(parts[0:2]))
self.wait(0.5)
self.play(Write(parts[2]))
self.wait(0.5)
self.play(Write(parts[3:]))
```
## Highlighting
```python
highlight = SurroundingRectangle(eq[2], color=YELLOW, buff=0.1)
self.play(Create(highlight))
self.play(Indicate(eq[4], color=YELLOW))
```
## Annotation
```python
brace = Brace(eq, DOWN, color=YELLOW)
label = brace.get_text("Fundamental Theorem", font_size=24)
self.play(GrowFromCenter(brace), Write(label))
```
## Common LaTeX
```python
MathTex(r"\frac{a}{b}") # fraction
MathTex(r"\alpha, \beta, \gamma") # Greek
MathTex(r"\sum_{i=1}^{n} x_i") # summation
MathTex(r"\int_{0}^{\infty} e^{-x} dx") # integral
MathTex(r"\vec{v}") # vector
MathTex(r"\lim_{x \to \infty} f(x)") # limit
```
## Derivation Pattern
```python
class DerivationScene(Scene):
def construct(self):
self.camera.background_color = BG
s1 = MathTex(r"ax^2 + bx + c = 0")
self.play(Write(s1))
self.wait(1.5)
s2 = MathTex(r"x^2 + \frac{b}{a}x + \frac{c}{a} = 0")
s2.next_to(s1, DOWN, buff=0.8)
self.play(s1.animate.set_opacity(0.4), TransformMatchingTex(s1.copy(), s2))
```
## substrings_to_isolate for Complex Equations
For dense equations where manually splitting into parts is impractical, use `substrings_to_isolate` to tell Manim which substrings to track as individual elements:
```python
# Without isolation — the whole expression is one blob
lagrangian = MathTex(
r"\mathcal{L} = \bar{\psi}(i \gamma^\mu D_\mu - m)\psi - \tfrac{1}{4}F_{\mu\nu}F^{\mu\nu}"
)
# With isolation — each named substring is a separate submobject
lagrangian = MathTex(
r"\mathcal{L} = \bar{\psi}(i \gamma^\mu D_\mu - m)\psi - \tfrac{1}{4}F_{\mu\nu}F^{\mu\nu}",
substrings_to_isolate=[r"\psi", r"D_\mu", r"\gamma^\mu", r"F_{\mu\nu}"]
)
# Now you can color individual terms
lagrangian.set_color_by_tex(r"\psi", BLUE)
lagrangian.set_color_by_tex(r"F_{\mu\nu}", YELLOW)
```
Essential for `TransformMatchingTex` on complex equations — without isolation, matching fails on dense expressions.
## Multi-Line Complex Equations
For equations with multiple related lines, pass each line as a separate argument:
```python
maxwell = MathTex(
r"\nabla \cdot \mathbf{E} = \frac{\rho}{\epsilon_0}",
r"\nabla \times \mathbf{B} = \mu_0\mathbf{J} + \mu_0\epsilon_0\frac{\partial \mathbf{E}}{\partial t}"
).arrange(DOWN)
# Each line is a separate submobject — animate independently
self.play(Write(maxwell[0]))
self.wait(1)
self.play(Write(maxwell[1]))
```
## TransformMatchingTex with key_map
Map specific substrings between source and target equations during transformation:
```python
eq1 = MathTex(r"A^2 + B^2 = C^2")
eq2 = MathTex(r"A^2 = C^2 - B^2")
self.play(TransformMatchingTex(
eq1, eq2,
key_map={"+": "-"}, # map "+" in source to "-" in target
path_arc=PI / 2, # arc the pieces into position
))
```
## set_color_by_tex — Color by Substring
```python
eq = MathTex(r"E = mc^2")
eq.set_color_by_tex("E", BLUE)
eq.set_color_by_tex("m", RED)
eq.set_color_by_tex("c", GREEN)
```
## TransformMatchingTex with matched_keys
When matching substrings are ambiguous, specify which to align explicitly:
```python
kw = dict(font_size=72, t2c={"A": BLUE, "B": TEAL, "C": GREEN})
lines = [
MathTex(r"A^2 + B^2 = C^2", **kw),
MathTex(r"A^2 = C^2 - B^2", **kw),
MathTex(r"A^2 = (C + B)(C - B)", **kw),
MathTex(r"A = \sqrt{(C + B)(C - B)}", **kw),
]
self.play(TransformMatchingTex(
lines[0].copy(), lines[1],
matched_keys=["A^2", "B^2", "C^2"], # explicitly match these
key_map={"+": "-"}, # map + to -
path_arc=PI / 2, # arc pieces into position
))
```
Without `matched_keys`, the animation matches the longest common substrings, which can produce unexpected results on complex equations (e.g., "^2 = C^2" matching across terms).
@@ -0,0 +1,163 @@
# Graphs, Plots, and Data Visualization
## Axes
```python
axes = Axes(
x_range=[-3, 3, 1], y_range=[-2, 2, 1],
x_length=8, y_length=5,
axis_config={"include_numbers": True, "font_size": 24}
)
axes.set_opacity(0.15) # structural element
x_label = axes.get_x_axis_label(r"x")
```
## Plotting
```python
graph = axes.plot(lambda x: x**2, color=BLUE)
graph_label = axes.get_graph_label(graph, label=r"x^2", x_val=2)
area = axes.get_area(graph, x_range=[0, 2], color=BLUE, opacity=0.3)
```
## Animated Plotting
```python
self.play(Create(graph), run_time=3) # trace the graph
# Moving dot along curve
dot = Dot(color=YELLOW).move_to(axes.c2p(0, 0))
self.play(MoveAlongPath(dot, graph), run_time=3)
# Dynamic parameter
tracker = ValueTracker(1)
dynamic = always_redraw(lambda: axes.plot(lambda x: tracker.get_value() * x**2, color=BLUE))
self.add(dynamic)
self.play(tracker.animate.set_value(3), run_time=2)
```
## Bar Charts
```python
chart = BarChart(
values=[4, 6, 2, 8, 5], bar_names=["A", "B", "C", "D", "E"],
y_range=[0, 10, 2], bar_colors=[RED, GREEN, BLUE, YELLOW, PURPLE]
)
self.play(Create(chart), run_time=2)
self.play(chart.animate.change_bar_values([6, 3, 7, 4, 9]))
```
## Number Lines
```python
nl = NumberLine(x_range=[0, 10, 1], length=10, include_numbers=True)
pointer = Arrow(nl.n2p(3) + UP * 0.5, nl.n2p(3), color=RED, buff=0)
tracker = ValueTracker(3)
pointer.add_updater(lambda m: m.put_start_and_end_on(
nl.n2p(tracker.get_value()) + UP * 0.5, nl.n2p(tracker.get_value())))
self.play(tracker.animate.set_value(8), run_time=2)
```
## Animated Counters
```python
counter = DecimalNumber(0, font_size=72, num_decimal_places=0)
self.play(counter.animate.set_value(1000), run_time=3, rate_func=rush_from)
```
## Algorithm Visualization Pattern
```python
values = [5, 2, 8, 1, 9, 3]
bars = VGroup(*[
Rectangle(width=0.6, height=v * 0.4, color=BLUE, fill_opacity=0.7)
for v in values
]).arrange(RIGHT, buff=0.2, aligned_edge=DOWN).move_to(ORIGIN)
self.play(LaggedStart(*[GrowFromEdge(b, DOWN) for b in bars], lag_ratio=0.1))
# Highlight, swap, etc.
```
## Data Story Pattern
```python
# Before/After comparison
before = BarChart(values=[3, 5, 2], bar_colors=[RED]*3).shift(LEFT * 3)
after = BarChart(values=[8, 9, 7], bar_colors=[GREEN]*3).shift(RIGHT * 3)
self.play(Create(before)); self.wait(1)
self.play(Create(after)); self.wait(1)
arrow = Arrow(before.get_right(), after.get_left(), color=YELLOW)
label = Text("+167%", font_size=36, color=YELLOW).next_to(arrow, UP)
self.play(GrowArrow(arrow), Write(label))
```
## Graph / DiGraph — Graph Theory Visualization
Built-in graph mobjects with automatic layout:
```python
# Undirected graph
g = Graph(
vertices=[1, 2, 3, 4, 5],
edges=[(1, 2), (2, 3), (3, 4), (4, 5), (5, 1), (1, 3)],
layout="spring", # or "circular", "kamada_kawai", "planar", "tree"
labels=True,
vertex_config={"fill_color": PRIMARY},
edge_config={"stroke_color": SUBTLE},
)
self.play(Create(g))
# Directed graph
dg = DiGraph(
vertices=["A", "B", "C"],
edges=[("A", "B"), ("B", "C"), ("C", "A")],
layout="circular",
labels=True,
edge_config={("A", "B"): {"stroke_color": RED}},
)
# Add/remove vertices and edges dynamically
self.play(g.animate.add_vertices(6, positions={6: RIGHT * 2}))
self.play(g.animate.add_edges((1, 6)))
self.play(g.animate.remove_vertices(3))
```
Layout algorithms: `"spring"`, `"circular"`, `"kamada_kawai"`, `"planar"`, `"spectral"`, `"tree"` (for rooted trees, specify `root=`).
## ArrowVectorField / StreamLines — Vector Fields
```python
# Arrow field: arrows showing direction at each point
field = ArrowVectorField(
lambda pos: np.array([-pos[1], pos[0], 0]), # rotation field
x_range=[-3, 3], y_range=[-3, 3],
colors=[BLUE, GREEN, YELLOW, RED]
)
self.play(Create(field))
# StreamLines: flowing particle traces through the field
stream = StreamLines(
lambda pos: np.array([-pos[1], pos[0], 0]),
stroke_width=2, max_anchors_per_line=30
)
self.add(stream)
stream.start_animation(warm_up=True, flow_speed=1.5)
self.wait(3)
stream.end_animation()
```
Use cases: electromagnetic fields, fluid flow, gradient fields, ODE phase portraits.
## ComplexPlane / PolarPlane
```python
# Complex plane with Re/Im labels
cplane = ComplexPlane().add_coordinates()
dot = Dot(cplane.n2p(2 + 1j), color=YELLOW)
label = Text("2+i", font_size=20).next_to(dot, UR, buff=0.1)
# Apply complex function to the plane
self.play(cplane.animate.apply_complex_function(lambda z: z**2), run_time=3)
# Polar plane
polar = PolarPlane(radius_max=3).add_coordinates()
```
@@ -0,0 +1,264 @@
# Mobjects Reference
Everything visible on screen is a Mobject. They have position, color, opacity, and can be animated.
## Text
```python
title = Text("Hello World", font_size=48, color=BLUE)
eq = MathTex(r"E = mc^2", font_size=40)
# Multi-part (for selective coloring)
eq = MathTex(r"a^2", r"+", r"b^2", r"=", r"c^2")
eq[0].set_color(RED)
eq[4].set_color(BLUE)
# Mixed text and math
t = Tex(r"The area is $\pi r^2$", font_size=36)
# Styled markup
t = MarkupText('<span foreground="#58C4DD">Blue</span> text', font_size=30)
```
**Always use raw strings (`r""`) for any string with backslashes.**
## Shapes
```python
circle = Circle(radius=1, color=BLUE, fill_opacity=0.5)
square = Square(side_length=2, color=RED)
rect = Rectangle(width=4, height=2, color=GREEN)
dot = Dot(point=ORIGIN, radius=0.08, color=YELLOW)
line = Line(LEFT * 2, RIGHT * 2, color=WHITE)
arrow = Arrow(LEFT, RIGHT, color=ORANGE)
rrect = RoundedRectangle(corner_radius=0.3, width=4, height=2)
brace = Brace(rect, DOWN, color=YELLOW)
```
## Positioning
```python
mob.move_to(ORIGIN) # center
mob.move_to(UP * 2 + RIGHT) # relative
label.next_to(circle, DOWN, buff=0.3) # next to another
title.to_edge(UP, buff=0.5) # screen edge (buff >= 0.5!)
mob.to_corner(UL, buff=0.5) # corner
```
## VGroup vs Group
**VGroup** is for collections of shapes (VMobjects only — Circle, Square, Arrow, Line, MathTex):
```python
shapes = VGroup(circle, square, arrow)
shapes.arrange(DOWN, buff=0.5)
shapes.set_color(BLUE)
```
**Group** is for mixed collections (Text + shapes, or any Mobject types):
```python
# Text objects are Mobjects, not VMobjects — use Group when mixing
labeled_shape = Group(circle, Text("Label").next_to(circle, DOWN))
labeled_shape.move_to(ORIGIN)
# FadeOut everything on screen (may contain mixed types)
self.play(FadeOut(Group(*self.mobjects)))
```
**Rule: if your group contains any `Text()` objects, use `Group`, not `VGroup`.** VGroup will raise a TypeError on Manim CE v0.20+. MathTex and Tex are VMobjects and work with VGroup.
Both support `arrange()`, `arrange_in_grid()`, `set_opacity()`, `shift()`, `scale()`, `move_to()`.
## Styling
```python
mob.set_color(BLUE)
mob.set_fill(RED, opacity=0.5)
mob.set_stroke(WHITE, width=2)
mob.set_opacity(0.4)
mob.set_z_index(1) # layering
```
## Specialized Mobjects
```python
nl = NumberLine(x_range=[-3, 3, 1], length=8, include_numbers=True)
table = Table([["A", "B"], ["C", "D"]], row_labels=[Text("R1"), Text("R2")])
code = Code("example.py", tab_width=4, font_size=20, language="python")
highlight = SurroundingRectangle(target, color=YELLOW, buff=0.2)
bg = BackgroundRectangle(equation, fill_opacity=0.7, buff=0.2)
```
## Custom Mobjects
```python
class NetworkNode(Group):
def __init__(self, label_text, color=BLUE, **kwargs):
super().__init__(**kwargs)
self.circle = Circle(radius=0.4, color=color, fill_opacity=0.3)
self.label = Text(label_text, font_size=20).move_to(self.circle)
self.add(self.circle, self.label)
```
## Constants
Directions: `UP, DOWN, LEFT, RIGHT, ORIGIN, UL, UR, DL, DR`
Colors: `RED, BLUE, GREEN, YELLOW, WHITE, GRAY, ORANGE, PINK, PURPLE, TEAL, GOLD`
Frame: `config.frame_width = 14.222, config.frame_height = 8.0`
## SVGMobject — Import SVG Files
```python
logo = SVGMobject("path/to/logo.svg")
logo.set_color(WHITE).scale(0.5).to_corner(UR)
self.play(FadeIn(logo))
# SVG submobjects are individually animatable
for part in logo.submobjects:
self.play(part.animate.set_color(random_color()))
```
## ImageMobject — Display Images
```python
img = ImageMobject("screenshot.png")
img.set_height(3).to_edge(RIGHT)
self.play(FadeIn(img))
```
Note: images cannot be animated with `.animate` (they're raster, not vector). Use `FadeIn`/`FadeOut` and `shift`/`scale` only.
## Variable — Auto-Updating Display
```python
var = Variable(0, Text("x"), num_decimal_places=2)
var.move_to(ORIGIN)
self.add(var)
# Animate the value
self.play(var.tracker.animate.set_value(5), run_time=2)
# Display auto-updates: "x = 5.00"
```
Cleaner than manual `DecimalNumber` + `add_updater` for simple labeled-value displays.
## BulletedList
```python
bullets = BulletedList(
"First key point",
"Second important fact",
"Third conclusion",
font_size=28
)
bullets.to_edge(LEFT, buff=1.0)
self.play(Write(bullets))
# Highlight individual items
self.play(bullets[1].animate.set_color(YELLOW))
```
## DashedLine and Angle Markers
```python
# Dashed line (asymptotes, construction lines)
dashed = DashedLine(LEFT * 3, RIGHT * 3, color=SUBTLE, dash_length=0.15)
# Angle marker between two lines
line1 = Line(ORIGIN, RIGHT * 2)
line2 = Line(ORIGIN, UP * 2 + RIGHT)
angle = Angle(line1, line2, radius=0.5, color=YELLOW)
angle_label = angle.get_value() # returns the angle in radians
# Right angle marker
right_angle = RightAngle(line1, Line(ORIGIN, UP * 2), length=0.3, color=WHITE)
```
## Boolean Operations (CSG)
Combine, subtract, or intersect 2D shapes:
```python
circle = Circle(radius=1.5, color=BLUE, fill_opacity=0.5).shift(LEFT * 0.5)
square = Square(side_length=2, color=RED, fill_opacity=0.5).shift(RIGHT * 0.5)
# Union, Intersection, Difference, Exclusion
union = Union(circle, square, color=GREEN, fill_opacity=0.5)
intersect = Intersection(circle, square, color=YELLOW, fill_opacity=0.5)
diff = Difference(circle, square, color=PURPLE, fill_opacity=0.5)
exclude = Exclusion(circle, square, color=ORANGE, fill_opacity=0.5)
```
Use cases: Venn diagrams, set theory, geometric proofs, area calculations.
## LabeledArrow / LabeledLine
```python
# Arrow with built-in label (auto-positioned)
arr = LabeledArrow(Text("force", font_size=18), start=LEFT, end=RIGHT, color=RED)
# Line with label
line = LabeledLine(Text("d = 5m", font_size=18), start=LEFT * 2, end=RIGHT * 2)
```
Auto-handles label positioning — cleaner than manual `Arrow` + `Text().next_to()`.
## Text Color/Font/Style Per-Substring (t2c, t2f, t2s, t2w)
```python
# Color specific words (t2c = text-to-color)
text = Text(
"Gradient descent minimizes the loss function",
t2c={"Gradient descent": BLUE, "loss function": RED}
)
# Different fonts per word (t2f = text-to-font)
text = Text(
"Use Menlo for code and Inter for prose",
t2f={"Menlo": "Menlo", "Inter": "Inter"}
)
# Italic/slant per word (t2s = text-to-slant)
text = Text("Normal and italic text", t2s={"italic": ITALIC})
# Bold per word (t2w = text-to-weight)
text = Text("Normal and bold text", t2w={"bold": BOLD})
```
These are much cleaner than creating separate Text objects and grouping them.
## Backstroke for Readability Over Backgrounds
When text overlaps other content (graphs, diagrams, images), add a dark stroke behind it:
```python
# CE syntax:
label.set_stroke(BLACK, width=5, background=True)
# Apply to a group
for mob in labels:
mob.set_stroke(BLACK, width=4, background=True)
```
This is how 3Blue1Brown keeps text readable over complex backgrounds without using BackgroundRectangle.
## Complex Function Transforms
Apply complex functions to entire mobjects — transforms the plane:
```python
c_grid = ComplexPlane()
moving_grid = c_grid.copy()
moving_grid.prepare_for_nonlinear_transform() # adds more sample points for smooth deformation
self.play(
moving_grid.animate.apply_complex_function(lambda z: z**2),
run_time=5,
)
# Also works with R3->R3 functions:
self.play(grid.animate.apply_function(
lambda p: [p[0] + 0.5 * math.sin(p[1]), p[1] + 0.5 * math.sin(p[0]), p[2]]
), run_time=5)
```
**Critical:** Call `prepare_for_nonlinear_transform()` before applying nonlinear functions — without it, the grid has too few sample points and the deformation looks jagged.
@@ -0,0 +1,255 @@
# Paper Explainer Workflow
How to turn a research paper into an animated explainer video.
## Why animate a paper?
A research paper is optimized for precision and completeness. A video is optimized for understanding and retention. The translation is NOT "read the paper aloud with pictures" — it's "extract the core insight and make it feel obvious through visual storytelling."
The paper has one job: prove the claim is true. The video has a different job: make the viewer understand WHY the claim is true, and WHY it matters.
## Who is watching?
Before anything, decide the audience:
| Audience | Prerequisites | Pacing | Depth |
|----------|--------------|--------|-------|
| General public | None | Slow, many analogies | Intuition only, skip proofs |
| Undergrad students | Basic math/CS | Medium, some formalism | Key equations, skip derivations |
| Grad students / researchers | Domain knowledge | Faster, more notation | Full equations, sketch proofs |
This determines everything: vocabulary, pacing, which sections to animate, how much math to show.
## The 5-minute template
Most paper explainers fit this structure (scale times proportionally for longer videos):
| Section | Duration | Purpose |
|---------|----------|---------|
| **Hook** | 0:00-0:30 | Surprising result or provocative question |
| **Problem** | 0:30-1:30 | What was broken/missing before this paper |
| **Key insight** | 1:30-3:00 | The core idea, explained visually |
| **How it works** | 3:00-4:00 | Method/algorithm, simplified |
| **Evidence** | 4:00-4:30 | Key result that proves it works |
| **Implications** | 4:30-5:00 | Why it matters, what it enables |
### What to skip
- Related work survey → one sentence: "Previous approaches did X, which had problem Y"
- Implementation details → skip unless they're the contribution
- Ablation studies → show one chart at most
- Proofs → show the key step, not the full proof
- Hyperparameter tuning → skip entirely
### What to expand
- The core insight → this gets the most screen time
- Geometric/visual intuition → if the paper has math, show what it MEANS
- Before/after comparison → the most compelling evidence
## Pre-code workflow
### Gate 1: Narration script
Write the full narration before any code. Every sentence maps to a visual beat. If you can't write the narration, you don't understand the paper well enough to animate it.
```markdown
## Hook (30s)
"What if I told you that a model with 7 billion parameters can outperform
one with 70 billion — if you train it on the right data?"
## Problem (60s)
"The standard approach is to scale up. More parameters, more compute.
[VISUAL: bar chart showing model sizes growing exponentially]
But Chinchilla showed us that most models are undertrained..."
```
### Gate 2: Scene list
After the narration, break it into scenes. Each scene is one Manim class.
```markdown
Scene 1: Hook — surprising stat with animated counter
Scene 2: Problem — model size bar chart growing
Scene 3: Key insight — training data vs parameters, animated 2D plot
Scene 4: Method — pipeline diagram building left to right
Scene 5: Results — before/after comparison with animated bars
Scene 6: Closing — implications text
```
### Gate 3: Style constants
Before coding scenes, define the visual language:
```python
# style.py — import in every scene file
BG = "#0D1117"
PRIMARY = "#58C4DD"
SECONDARY = "#83C167"
ACCENT = "#FFFF00"
HIGHLIGHT = "#FF6B6B"
MONO = "Menlo"
# Color meanings for THIS paper
MODEL_COLOR = PRIMARY # "the model"
DATA_COLOR = SECONDARY # "training data"
BASELINE_COLOR = HIGHLIGHT # "previous approach"
RESULT_COLOR = ACCENT # "our result"
```
## First-principles equation explanation
When the paper has a key equation, don't just show it — build it from intuition:
### The "what would you do?" pattern
1. Pose the problem in plain language
2. Ask what the simplest solution would be
3. Show why it doesn't work (animate the failure)
4. Introduce the paper's solution as the fix
5. THEN show the equation — it now feels earned
```python
# Scene: Why we need attention (for a Transformer paper)
# Step 1: "How do we let each word look at every other word?"
# Step 2: Show naive approach (fully connected = O(n²) everything)
# Step 3: Show it breaks (information overload, no selectivity)
# Step 4: "What if each word could CHOOSE which words to attend to?"
# Step 5: Show attention equation — Q, K, V now mean something
```
### Equation reveal strategy
```python
# Show equation dimmed first (full destination)
eq = MathTex(r"Attention(Q,K,V) = softmax\left(\frac{QK^T}{\sqrt{d_k}}\right)V")
eq.set_opacity(0.15)
self.play(FadeIn(eq))
# Highlight Q, K, V one at a time with color + label
for part, color, label_text in [
(r"Q", PRIMARY, "Query: what am I looking for?"),
(r"K", SECONDARY, "Key: what do I contain?"),
(r"V", ACCENT, "Value: what do I output?"),
]:
eq.set_color_by_tex(part, color)
label = Text(label_text, font_size=18, color=color, font=MONO)
# position label, animate it, wait, then dim it
```
## Building architecture diagrams
### The progressive build pattern
Don't show the full architecture at once. Build it:
1. First component appears alone → explain
2. Arrow grows → "this feeds into..."
3. Second component appears → explain
4. Repeat until complete
```python
# Component factory
def make_box(label, color, width=2.0, height=0.8):
box = RoundedRectangle(corner_radius=0.1, width=width, height=height,
color=color, fill_opacity=0.1, stroke_width=1.5)
text = Text(label, font_size=18, font=MONO, color=color).move_to(box)
return Group(box, text)
encoder = make_box("Encoder", PRIMARY)
decoder = make_box("Decoder", SECONDARY).next_to(encoder, RIGHT, buff=1.5)
arrow = Arrow(encoder.get_right(), decoder.get_left(), color=DIM, stroke_width=1.5)
self.play(FadeIn(encoder))
self.wait(1) # explain encoder
self.play(GrowArrow(arrow))
self.play(FadeIn(decoder))
self.wait(1) # explain decoder
```
### Data flow animation
After building the diagram, show data moving through it:
```python
# Dot traveling along the pipeline
data_dot = Dot(color=ACCENT, radius=0.1).move_to(encoder)
self.play(FadeIn(data_dot))
self.play(MoveAlongPath(data_dot, arrow), run_time=1)
self.play(data_dot.animate.move_to(decoder), run_time=0.5)
self.play(Flash(data_dot.get_center(), color=ACCENT), run_time=0.3)
```
## Animating results
### Bar chart comparison (most common)
```python
# Before/after bars
before_data = [45, 52, 38, 61]
after_data = [78, 85, 72, 91]
labels = ["Task A", "Task B", "Task C", "Task D"]
before_chart = BarChart(before_data, bar_names=labels,
y_range=[0, 100, 20], bar_colors=[HIGHLIGHT]*4).scale(0.6).shift(LEFT*3)
after_chart = BarChart(after_data, bar_names=labels,
y_range=[0, 100, 20], bar_colors=[SECONDARY]*4).scale(0.6).shift(RIGHT*3)
before_label = Text("Baseline", font_size=20, color=HIGHLIGHT, font=MONO)
after_label = Text("Ours", font_size=20, color=SECONDARY, font=MONO)
# Reveal baseline first, then ours (dramatic comparison)
self.play(Create(before_chart), FadeIn(before_label))
self.wait(1.5)
self.play(Create(after_chart), FadeIn(after_label))
self.wait(0.5)
# Highlight the improvement
improvement = Text("+35% avg", font_size=24, color=ACCENT, font=MONO)
self.play(FadeIn(improvement))
```
### Training curve (for ML papers)
```python
tracker = ValueTracker(0)
curve = always_redraw(lambda: axes.plot(
lambda x: 1 - 0.8 * np.exp(-x / 3),
x_range=[0, tracker.get_value()], color=PRIMARY
))
epoch_label = always_redraw(lambda: Text(
f"Epoch {int(tracker.get_value())}", font_size=18, font=MONO
).to_corner(UR))
self.add(curve, epoch_label)
self.play(tracker.animate.set_value(10), run_time=5, rate_func=linear)
```
## Domain-specific patterns
### ML papers
- Show data flow through the model (animated pipeline)
- Training curves with `ValueTracker`
- Attention heatmaps as colored grids
- Embedding space as 2D scatter (PCA/t-SNE visualization)
- Loss landscape as 3D surface with gradient descent dot
### Physics/math papers
- Use `LinearTransformationScene` for linear algebra
- Vector fields with `ArrowVectorField` / `StreamLines`
- Phase spaces with `NumberPlane` + trajectories
- Wave equations with time-parameterized plots
### Systems/architecture papers
- Pipeline diagrams built progressively
- `ShowPassingFlash` for data flow along arrows
- `ZoomedScene` for zooming into components
- Before/after latency/throughput comparisons
## Common mistakes
1. **Trying to cover the whole paper.** A 5-minute video can explain ONE core insight well. Covering everything means explaining nothing.
2. **Reading the abstract as narration.** Academic writing is designed for readers, not listeners. Rewrite in conversational language.
3. **Showing notation without meaning.** Never show a symbol without first showing what it represents visually.
4. **Skipping the motivation.** Jumping straight to "here's our method" without showing why the problem matters. The Problem section is what makes the viewer care.
5. **Identical pacing throughout.** The hook and key insight need the most visual energy. The method section can be faster. Evidence should land with impact (pause after showing the big number).
@@ -0,0 +1,190 @@
# Production Quality Checklist
Standards and checks for ensuring animation output is publication-ready.
## Pre-Code Checklist
Before writing any Manim code:
- [ ] Narration script written with visual beats marked
- [ ] Scene list with purpose, duration, and layout for each
- [ ] Color palette defined with meaning assignments (`PRIMARY` = main concept, etc.)
- [ ] `MONO = "Menlo"` set as the font constant
- [ ] Target resolution and aspect ratio decided
## Text Quality
### Overlap prevention
```python
# RULE: buff >= 0.5 for edge text
label.to_edge(DOWN, buff=0.5) # GOOD
label.to_edge(DOWN, buff=0.3) # BAD — may clip
# RULE: FadeOut previous before adding new at same position
self.play(ReplacementTransform(note1, note2)) # GOOD
self.play(Write(note2)) # BAD — overlaps note1
# RULE: Reduce font size for dense scenes
# When > 4 text elements visible, use font_size=20 not 28
```
### Width enforcement
Long text strings overflow the frame:
```python
# RULE: Set max width for any text that might be long
text = Text("This is a potentially long description", font_size=22, font=MONO)
if text.width > config.frame_width - 1.0:
text.set_width(config.frame_width - 1.0)
```
### Font consistency
```python
# RULE: Define MONO once, use everywhere
MONO = "Menlo"
# WRONG: mixing fonts
Text("Title", font="Helvetica")
Text("Label", font="Arial")
Text("Code", font="Courier")
# RIGHT: one font
Text("Title", font=MONO, weight=BOLD, font_size=48)
Text("Label", font=MONO, font_size=20)
Text("Code", font=MONO, font_size=18)
```
## Spatial Layout
### The coordinate budget
The visible frame is approximately 14.2 wide × 8.0 tall (default 16:9). With mandatory margins:
```
Usable area: x ∈ [-6.5, 6.5], y ∈ [-3.5, 3.5]
Top title zone: y ∈ [2.5, 3.5]
Bottom note zone: y ∈ [-3.5, -2.5]
Main content: y ∈ [-2.5, 2.5], x ∈ [-6.0, 6.0]
```
### Fill the frame
Empty scenes look unfinished. If the main content is small, add context:
- A dimmed grid/axes behind the content
- A title/subtitle at the top
- A source citation at the bottom
- Decorative geometry at low opacity
### Maximum simultaneous elements
**Hard limit: 6 actively visible elements.** Beyond that, the viewer can't track everything. If you need more:
- Dim old elements to opacity 0.3
- Remove elements that have served their purpose
- Split into two scenes
## Animation Quality
### Variety audit
Check that no two consecutive scenes use the exact same:
- Animation type (if Scene 3 uses Write for everything, Scene 4 should use FadeIn or Create)
- Color emphasis (rotate through palette colors)
- Layout (center, left-right, grid — alternate)
- Pacing (if Scene 2 was slow and deliberate, Scene 3 can be faster)
### Tempo curve
A good video follows a tempo curve:
```
Slow ──→ Medium ──→ FAST (climax) ──→ Slow (conclusion)
Scene 1: Slow (introduction, setup)
Scene 2: Medium (building understanding)
Scene 3: Medium-Fast (core content, lots of animation)
Scene 4: FAST (montage of applications/results)
Scene 5: Slow (conclusion, key takeaway)
```
### Transition quality
Between scenes:
- **Clean exit**: `self.play(FadeOut(Group(*self.mobjects)), run_time=0.5)`
- **Brief pause**: `self.wait(0.3)` after fadeout, before next scene's first animation
- **Never hard-cut**: always animate the transition
## Color Quality
### Dimming on dark backgrounds
Colors that look vibrant on white look muddy on dark backgrounds (#0D1117, #1C1C1C). Test your palette:
```python
# Colors that work well on dark backgrounds:
# Bright and saturated: #58C4DD, #83C167, #FFFF00, #FF6B6B
# Colors that DON'T work: #666666 (invisible), #2244AA (too dark)
# RULE: Structural elements (axes, grids) at opacity 0.15
# Context elements at 0.3-0.4
# Primary elements at 1.0
```
### Color meaning consistency
Once a color is assigned a meaning, it keeps that meaning for the entire video:
```python
# If PRIMARY (#58C4DD) means "the model" in Scene 1,
# it means "the model" in every scene.
# Never reuse PRIMARY for a different concept later.
```
## Data Visualization Quality
### Minimum requirements for charts
- Axis labels on every axis
- Y-axis range starts at 0 (or has a clear break indicator)
- Bar/line colors match the legend
- Numbers on notable data points (at least the maximum and the comparison point)
### Animated counters
When showing a number changing:
```python
# GOOD: DecimalNumber with smooth animation
counter = DecimalNumber(0, font_size=48, num_decimal_places=0, font="Menlo")
self.play(counter.animate.set_value(1000), run_time=3, rate_func=rush_from)
# BAD: Text that jumps between values
```
## Pre-Render Checklist
Before running `manim -qh`:
- [ ] All scenes render without errors at `-ql`
- [ ] Preview stills at `-qm` for text-heavy scenes (check kerning)
- [ ] Background color set in every scene (`self.camera.background_color = BG`)
- [ ] `add_subcaption()` or `subcaption=` on every significant animation
- [ ] No text smaller than font_size=18
- [ ] No text using proportional fonts (use monospace)
- [ ] buff >= 0.5 on all `.to_edge()` calls
- [ ] Clean exit (FadeOut all) at end of every scene
- [ ] `self.wait()` after every reveal
- [ ] Color constants used (no hardcoded hex strings in scene code)
- [ ] All scenes use the same quality flag (don't mix `-ql` and `-qh`)
## Post-Render Checklist
After stitching the final video:
- [ ] Watch the complete video at 1x speed — does it feel rushed anywhere?
- [ ] Is there a moment where two things animate simultaneously and it's confusing?
- [ ] Does every text label have enough time to be read?
- [ ] Are transitions between scenes smooth (no black frames, no jarring cuts)?
- [ ] Is the audio in sync with the visuals (if using voiceover)?
- [ ] Is the Gibbs-like "first impression" good? The first 5 seconds determine if someone keeps watching
@@ -0,0 +1,185 @@
# Rendering Reference
## Prerequisites
```bash
manim --version # Manim CE
pdflatex --version # LaTeX
ffmpeg -version # ffmpeg
```
## CLI Reference
```bash
manim -ql script.py Scene1 Scene2 # draft (480p 15fps)
manim -qm script.py Scene1 # medium (720p 30fps)
manim -qh script.py Scene1 # production (1080p 60fps)
manim -ql --format=png -s script.py Scene1 # preview still (last frame)
manim -ql --format=gif script.py Scene1 # GIF output
```
## Quality Presets
| Flag | Resolution | FPS | Use case |
|------|-----------|-----|----------|
| `-ql` | 854x480 | 15 | Draft iteration (layout, timing) |
| `-qm` | 1280x720 | 30 | Preview (use for text-heavy scenes) |
| `-qh` | 1920x1080 | 60 | Production |
**Text rendering quality:** `-ql` (480p15) produces noticeably poor text kerning and readability. For scenes with significant text, preview stills at `-qm` to catch issues invisible at 480p. Use `-ql` only for testing layout and animation timing.
## Output Structure
```
media/videos/script/480p15/Scene1_Intro.mp4
media/images/script/Scene1_Intro.png (from -s flag)
```
## Stitching with ffmpeg
```bash
cat > concat.txt << 'EOF'
file 'media/videos/script/480p15/Scene1_Intro.mp4'
file 'media/videos/script/480p15/Scene2_Core.mp4'
EOF
ffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4
```
## Add Voiceover
```bash
# Mux narration
ffmpeg -y -i final.mp4 -i narration.mp3 -c:v copy -c:a aac -b:a 192k -shortest final_narrated.mp4
# Concat per-scene audio first
cat > audio_concat.txt << 'EOF'
file 'audio/scene1.mp3'
file 'audio/scene2.mp3'
EOF
ffmpeg -y -f concat -safe 0 -i audio_concat.txt -c copy full_narration.mp3
```
## Add Background Music
```bash
ffmpeg -y -i final.mp4 -i music.mp3 \
-filter_complex "[1:a]volume=0.15[bg];[0:a][bg]amix=inputs=2:duration=shortest" \
-c:v copy final_with_music.mp4
```
## GIF Export
```bash
ffmpeg -y -i scene.mp4 \
-vf "fps=15,scale=640:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" \
output.gif
```
## Aspect Ratios
```bash
manim -ql --resolution 1080,1920 script.py Scene # 9:16 vertical
manim -ql --resolution 1080,1080 script.py Scene # 1:1 square
```
## Render Workflow
1. Draft render all scenes at `-ql`
2. Preview stills at key moments (`-s`)
3. Fix and re-render only broken scenes
4. Stitch with ffmpeg
5. Review stitched output
6. Production render at `-qh`
7. Re-stitch + add audio
## manim.cfg — Project Configuration
Create `manim.cfg` in the project directory for per-project defaults:
```ini
[CLI]
quality = low_quality
preview = True
media_dir = ./media
[renderer]
background_color = #0D1117
[tex]
tex_template_file = custom_template.tex
```
This eliminates repetitive CLI flags and `self.camera.background_color` in every scene.
## Sections — Chapter Markers
Mark sections within a scene for organized output:
```python
class LongVideo(Scene):
def construct(self):
self.next_section("Introduction")
# ... intro content ...
self.next_section("Main Concept")
# ... main content ...
self.next_section("Conclusion")
# ... closing ...
```
Render individual sections: `manim --save_sections script.py LongVideo`
This outputs separate video files per section — useful for long videos where you want to re-render only one part.
## manim-voiceover Plugin (Recommended for Narrated Videos)
The official `manim-voiceover` plugin integrates TTS directly into scene code, auto-syncing animation duration to voiceover length. This is significantly cleaner than the manual ffmpeg muxing approach above.
### Installation
```bash
pip install "manim-voiceover[elevenlabs]"
# Or for free/local TTS:
pip install "manim-voiceover[gtts]" # Google TTS (free, lower quality)
pip install "manim-voiceover[azure]" # Azure Cognitive Services
```
### Usage
```python
from manim import *
from manim_voiceover import VoiceoverScene
from manim_voiceover.services.elevenlabs import ElevenLabsService
class NarratedScene(VoiceoverScene):
def construct(self):
self.set_speech_service(ElevenLabsService(
voice_name="Alice",
model_id="eleven_multilingual_v2"
))
# Voiceover auto-controls scene duration
with self.voiceover(text="Here is a circle being drawn.") as tracker:
self.play(Create(Circle()), run_time=tracker.duration)
with self.voiceover(text="Now let's transform it into a square.") as tracker:
self.play(Transform(circle, Square()), run_time=tracker.duration)
```
### Key Features
- `tracker.duration` — total voiceover duration in seconds
- `tracker.time_until_bookmark("mark1")` — sync specific animations to specific words
- Auto-generates subtitle `.srt` files
- Caches audio locally — re-renders don't re-generate TTS
- Works with: ElevenLabs, Azure, Google TTS, pyttsx3 (offline), and custom services
### Bookmarks for Precise Sync
```python
with self.voiceover(text='This is a <bookmark mark="circle"/>circle.') as tracker:
self.wait_until_bookmark("circle")
self.play(Create(Circle()), run_time=tracker.time_until_bookmark("circle", limit=1))
```
This is the recommended approach for any video with narration. The manual ffmpeg muxing workflow above is still useful for adding background music or post-production audio mixing.
@@ -0,0 +1,118 @@
# Scene Planning Reference
## Narrative Arc Structures
### Discovery Arc (most common)
1. Hook -- pose a question or surprising result
2. Intuition -- build visual understanding
3. Formalize -- introduce the equation/algorithm
4. Reveal -- the "aha moment"
5. Extend -- implications or generalizations
### Problem-Solution Arc
1. Problem -- what's broken
2. Failed attempt -- obvious approach fails
3. Key insight -- the idea that works
4. Solution -- implement it
5. Result -- show improvement
### Comparison Arc
1. Setup -- introduce two approaches
2. Approach A -- how it works
3. Approach B -- how it works
4. Contrast -- differences
5. Verdict -- which is better
### Build-Up Arc (architecture/systems)
1. Component A -- first piece
2. Component B -- second piece
3. Connection -- how they interact
4. Scale -- add more pieces
5. Full picture -- zoom out
## Scene Transitions
### Clean Break (default)
```python
self.play(FadeOut(Group(*self.mobjects)), run_time=0.5)
self.wait(0.3)
```
### Carry-Forward
Keep one element, fade the rest. Next scene starts with it still on screen.
### Transform Bridge
End scene with a shape, start next scene by transforming it.
## Cross-Scene Consistency
```python
# Shared constants at file top
BG = "#1C1C1C"
PRIMARY = "#58C4DD"
SECONDARY = "#83C167"
ACCENT = "#FFFF00"
TITLE_SIZE = 48
BODY_SIZE = 30
LABEL_SIZE = 24
FAST = 0.8; NORMAL = 1.5; SLOW = 2.5
```
## Scene Checklist
- [ ] Background color set
- [ ] Subcaptions on every animation
- [ ] `self.wait()` after every reveal
- [ ] Text buff >= 0.5 for edge positioning
- [ ] No text overlap
- [ ] Color constants used (not hardcoded)
- [ ] Opacity layering applied
- [ ] Clean exit at scene end
- [ ] No more than 5-6 elements visible at once
## Duration Estimation
| Content | Duration |
|---------|----------|
| Title card | 3-5s |
| Concept introduction | 10-20s |
| Equation reveal | 15-25s |
| Algorithm step | 5-10s |
| Data comparison | 10-15s |
| "Aha moment" | 15-30s |
| Conclusion | 5-10s |
## Planning Template
```markdown
# [Video Title]
## Overview
- **Topic**: [Core concept]
- **Hook**: [Opening question]
- **Aha moment**: [Key insight]
- **Target audience**: [Prerequisites]
- **Length**: [seconds/minutes]
- **Resolution**: 480p (draft) / 1080p (final)
## Color Palette
- Background: #1C1C1C
- Primary: #58C4DD -- [purpose]
- Secondary: #83C167 -- [purpose]
- Accent: #FFFF00 -- [purpose]
## Arc: [Discovery / Problem-Solution / Comparison / Build-Up]
## Scene 1: [Name] (~Ns)
**Purpose**: [one sentence]
**Layout**: [FULL_CENTER / LEFT_RIGHT / GRID / PROGRESSIVE]
### Visual elements
- [Mobject: type, position, color]
### Animation sequence
1. [Animation] -- [what it reveals] (~Ns)
### Subtitle
"[text]"
```
@@ -0,0 +1,135 @@
# Troubleshooting
## LaTeX Errors
**Missing raw string** (the #1 error):
```python
# WRONG: MathTex("\\frac{1}{2}") -- \\f is form-feed
# RIGHT: MathTex(r"\frac{1}{2}")
```
**Unbalanced braces**: `MathTex(r"\frac{1}{2")` -- missing closing brace.
**LaTeX not installed**: `which pdflatex` -- install texlive-full or mactex.
**Missing package**: Add to preamble:
```python
tex_template = TexTemplate()
tex_template.add_to_preamble(r"\usepackage{mathrsfs}")
MathTex(r"\mathscr{L}", tex_template=tex_template)
```
## VGroup TypeError
**Error:** `TypeError: Only values of type VMobject can be added as submobjects of VGroup`
**Cause:** `Text()` objects are `Mobject`, not `VMobject`. Mixing `Text` with shapes in a `VGroup` fails on Manim CE v0.20+.
```python
# WRONG: Text is not a VMobject
group = VGroup(circle, Text("Label"))
# RIGHT: use Group for mixed types
group = Group(circle, Text("Label"))
# RIGHT: VGroup is fine for shapes-only
shapes = VGroup(circle, square, arrow)
# RIGHT: MathTex IS a VMobject — VGroup works
equations = VGroup(MathTex(r"a"), MathTex(r"b"))
```
**Rule:** If the group contains any `Text()`, use `Group`. If it's all shapes or all `MathTex`, `VGroup` is fine.
**FadeOut everything:** Always use `Group(*self.mobjects)`, not `VGroup(*self.mobjects)`:
```python
self.play(FadeOut(Group(*self.mobjects))) # safe for mixed types
```
## Group save_state() / restore() Not Supported
**Error:** `NotImplementedError: Please override in a child class.`
**Cause:** `Group.save_state()` and `Group.restore()` are not implemented in Manim CE v0.20+. Only `VGroup` and individual `Mobject` subclasses support save/restore.
```python
# WRONG: Group doesn't support save_state
group = Group(circle, Text("label"))
group.save_state() # NotImplementedError!
# RIGHT: use FadeIn with shift/scale instead of save_state/restore
self.play(FadeIn(group, shift=UP * 0.3, scale=0.8))
# RIGHT: or save/restore on individual VMobjects
circle.save_state()
self.play(circle.animate.shift(RIGHT))
self.play(Restore(circle))
```
## letter_spacing Is Not a Valid Parameter
**Error:** `TypeError: Mobject.__init__() got an unexpected keyword argument 'letter_spacing'`
**Cause:** `Text()` does not accept `letter_spacing`. Manim uses Pango for text rendering and does not expose kerning controls on `Text()`.
```python
# WRONG
Text("HERMES", letter_spacing=6)
# RIGHT: use MarkupText with Pango attributes for spacing control
MarkupText('<span letter_spacing="6000">HERMES</span>', font_size=18)
# Note: Pango letter_spacing is in 1/1024 of a point
```
## Animation Errors
**Invisible animation** -- mobject never added:
```python
# WRONG: circle = Circle(); self.play(circle.animate.set_color(RED))
# RIGHT: self.play(Create(circle)); self.play(circle.animate.set_color(RED))
```
**Transform confusion** -- after Transform(A, B), A is on screen, B is not. Use ReplacementTransform if you want B.
**Duplicate animation** -- same mobject twice in one play():
```python
# WRONG: self.play(c.animate.shift(RIGHT), c.animate.set_color(RED))
# RIGHT: self.play(c.animate.shift(RIGHT).set_color(RED))
```
**Updater fights animation**:
```python
mob.suspend_updating()
self.play(mob.animate.shift(RIGHT))
mob.resume_updating()
```
## Rendering Issues
**Blurry output**: Using -ql (480p). Switch to -qm/-qh for final.
**Slow render**: Use -ql during development. Reduce Surface resolution. Shorter self.wait().
**Stale output**: `manim -ql --disable_caching script.py Scene`
**ffmpeg concat fails**: All clips must match resolution/FPS/codec.
## Common Mistakes
**Text clips at edge**: `buff >= 0.5` for `.to_edge()`
**Overlapping text**: Use `ReplacementTransform(old, new)`, not `Write(new)` on top.
**Too crowded**: Max 5-6 elements visible. Split into scenes or use opacity layering.
**No breathing room**: `self.wait(1.5)` minimum after reveals, `self.wait(2.0)` for key moments.
**Missing background color**: Set `self.camera.background_color = BG` in every scene.
## Debugging Strategy
1. Render a still: `manim -ql -s script.py Scene` -- instant layout check
2. Isolate the broken scene -- render only that one
3. Replace `self.play()` with `self.add()` to see final state instantly
4. Print positions: `print(mob.get_center())`
5. Clear cache: delete `media/` directory
@@ -0,0 +1,260 @@
# Updaters and Value Trackers
## The problem updaters solve
Normal animations are discrete: `self.play()` goes from state A to state B. But what if you need continuous relationships — a label that always hovers above a moving dot, or a line that always connects two points?
Without updaters, you'd manually reposition every dependent object before every `self.play()`. Five animations that move a dot means five manual repositioning calls for the label. Miss one and it freezes in the wrong spot.
Updaters let you declare a relationship ONCE. Manim calls the updater function EVERY FRAME (15-60 fps depending on quality) to enforce that relationship, no matter what else is happening.
## ValueTracker: an invisible steering wheel
A ValueTracker is an invisible Mobject that holds a single float. It never appears on screen. It exists so you can ANIMATE it while other objects REACT to its value.
Think of it as a slider: drag the slider from 0 to 5, and every object wired to it responds in real time.
```python
tracker = ValueTracker(0) # invisible, stores 0.0
tracker.get_value() # read: 0.0
tracker.set_value(5) # write: jump to 5.0 instantly
tracker.animate.set_value(5) # animate: smoothly interpolate to 5.0
```
### The three-step pattern
Every ValueTracker usage follows this:
1. **Create the tracker** (the invisible slider)
2. **Create visible objects that READ the tracker** via updaters
3. **Animate the tracker** — all dependents update automatically
```python
# Step 1: Create tracker
x_tracker = ValueTracker(1)
# Step 2: Create dependent objects
dot = always_redraw(lambda: Dot(axes.c2p(x_tracker.get_value(), 0), color=YELLOW))
v_line = always_redraw(lambda: axes.get_vertical_line(
axes.c2p(x_tracker.get_value(), func(x_tracker.get_value())), color=BLUE
))
label = always_redraw(lambda: DecimalNumber(x_tracker.get_value(), font_size=24)
.next_to(dot, UP))
self.add(dot, v_line, label)
# Step 3: Animate the tracker — everything follows
self.play(x_tracker.animate.set_value(5), run_time=3)
```
## Types of updaters
### Lambda updater (most common)
Runs a function every frame, passing the mobject itself:
```python
# Label always stays above the dot
label.add_updater(lambda m: m.next_to(dot, UP, buff=0.2))
# Line always connects two points
line.add_updater(lambda m: m.put_start_and_end_on(
point_a.get_center(), point_b.get_center()
))
```
### Time-based updater (with dt)
The second argument `dt` is the time since the last frame (~0.017s at 60fps):
```python
# Continuous rotation
square.add_updater(lambda m, dt: m.rotate(0.5 * dt))
# Continuous rightward drift
dot.add_updater(lambda m, dt: m.shift(RIGHT * 0.3 * dt))
# Oscillation
dot.add_updater(lambda m, dt: m.move_to(
axes.c2p(m.get_center()[0], np.sin(self.time))
))
```
Use `dt` updaters for physics simulations, continuous motion, and time-dependent effects.
### always_redraw: full rebuild every frame
Creates a new mobject from scratch each frame. More expensive than `add_updater` but handles cases where the mobject's structure changes (not just position/color):
```python
# Brace that follows a resizing square
brace = always_redraw(Brace, square, UP)
# Area under curve that updates as function changes
area = always_redraw(lambda: axes.get_area(
graph, x_range=[0, x_tracker.get_value()], color=BLUE, opacity=0.3
))
# Label that reconstructs its text
counter = always_redraw(lambda: Text(
f"n = {int(x_tracker.get_value())}", font_size=24, font="Menlo"
).to_corner(UR))
```
**When to use which:**
- `add_updater` — position, color, opacity changes (cheap, preferred)
- `always_redraw` — when the shape/structure itself changes (expensive, use sparingly)
## DecimalNumber: showing live values
```python
# Counter that tracks a ValueTracker
tracker = ValueTracker(0)
number = DecimalNumber(0, font_size=48, num_decimal_places=1, color=PRIMARY)
number.add_updater(lambda m: m.set_value(tracker.get_value()))
number.add_updater(lambda m: m.next_to(dot, RIGHT, buff=0.3))
self.add(number)
self.play(tracker.animate.set_value(100), run_time=3)
```
### Variable: the labeled version
```python
var = Variable(0, Text("x", font_size=24, font="Menlo"), num_decimal_places=2)
self.add(var)
self.play(var.tracker.animate.set_value(PI), run_time=2)
# Displays: x = 3.14
```
## Removing updaters
```python
# Remove all updaters
mobject.clear_updaters()
# Suspend temporarily (during an animation that would fight the updater)
mobject.suspend_updating()
self.play(mobject.animate.shift(RIGHT))
mobject.resume_updating()
# Remove specific updater (if you stored a reference)
def my_updater(m):
m.next_to(dot, UP)
label.add_updater(my_updater)
# ... later ...
label.remove_updater(my_updater)
```
## Animation-based updaters
### UpdateFromFunc / UpdateFromAlphaFunc
These are ANIMATIONS (passed to `self.play`), not persistent updaters:
```python
# Call a function on each frame of the animation
self.play(UpdateFromFunc(mobject, lambda m: m.next_to(moving_target, UP)), run_time=3)
# With alpha (0 to 1) — useful for custom interpolation
self.play(UpdateFromAlphaFunc(circle, lambda m, a: m.set_fill(opacity=a)), run_time=2)
```
### turn_animation_into_updater
Convert a one-shot animation into a continuous updater:
```python
from manim import turn_animation_into_updater
# This would normally play once — now it loops forever
turn_animation_into_updater(Rotating(gear, rate=PI/4))
self.add(gear)
self.wait(5) # gear rotates for 5 seconds
```
## Practical patterns
### Pattern 1: Dot tracing a function
```python
tracker = ValueTracker(0)
graph = axes.plot(np.sin, x_range=[0, 2*PI], color=PRIMARY)
dot = always_redraw(lambda: Dot(
axes.c2p(tracker.get_value(), np.sin(tracker.get_value())),
color=YELLOW
))
tangent = always_redraw(lambda: axes.get_secant_slope_group(
x=tracker.get_value(), graph=graph, dx=0.01,
secant_line_color=HIGHLIGHT, secant_line_length=3
))
self.add(graph, dot, tangent)
self.play(tracker.animate.set_value(2*PI), run_time=6, rate_func=linear)
```
### Pattern 2: Live area under curve
```python
tracker = ValueTracker(0.5)
area = always_redraw(lambda: axes.get_area(
graph, x_range=[0, tracker.get_value()],
color=PRIMARY, opacity=0.3
))
area_label = always_redraw(lambda: DecimalNumber(
# Numerical integration
sum(func(x) * 0.01 for x in np.arange(0, tracker.get_value(), 0.01)),
font_size=24
).next_to(axes, RIGHT))
self.add(area, area_label)
self.play(tracker.animate.set_value(4), run_time=5)
```
### Pattern 3: Connected diagram
```python
# Nodes that can be moved, with edges that auto-follow
node_a = Dot(LEFT * 2, color=PRIMARY)
node_b = Dot(RIGHT * 2, color=SECONDARY)
edge = Line().add_updater(lambda m: m.put_start_and_end_on(
node_a.get_center(), node_b.get_center()
))
label = Text("edge", font_size=18, font="Menlo").add_updater(
lambda m: m.move_to(edge.get_center() + UP * 0.3)
)
self.add(node_a, node_b, edge, label)
self.play(node_a.animate.shift(UP * 2), run_time=2)
self.play(node_b.animate.shift(DOWN + RIGHT), run_time=2)
# Edge and label follow automatically
```
### Pattern 4: Parameter exploration
```python
# Explore how a parameter changes a curve
a_tracker = ValueTracker(1)
curve = always_redraw(lambda: axes.plot(
lambda x: a_tracker.get_value() * np.sin(x),
x_range=[0, 2*PI], color=PRIMARY
))
param_label = always_redraw(lambda: Text(
f"a = {a_tracker.get_value():.1f}", font_size=24, font="Menlo"
).to_corner(UR))
self.add(curve, param_label)
self.play(a_tracker.animate.set_value(3), run_time=3)
self.play(a_tracker.animate.set_value(0.5), run_time=2)
self.play(a_tracker.animate.set_value(1), run_time=1)
```
## Common mistakes
1. **Updater fights animation:** If a mobject has an updater that sets its position, and you try to animate it elsewhere, the updater wins every frame. Suspend updating first.
2. **always_redraw for simple moves:** If you only need to reposition, use `add_updater`. `always_redraw` reconstructs the entire mobject every frame — expensive and unnecessary for position tracking.
3. **Forgetting to add to scene:** Updaters only run on mobjects that are in the scene. `always_redraw` creates the mobject but you still need `self.add()`.
4. **Updater creates new mobjects without cleanup:** If your updater creates Text objects every frame, they accumulate. Use `always_redraw` (which handles cleanup) or update properties in-place.
@@ -0,0 +1,124 @@
# Visual Design Principles
## 12 Core Principles
1. **Geometry Before Algebra** — Show the shape first, the equation second.
2. **Opacity Layering** — PRIMARY=1.0, CONTEXT=0.4, GRID=0.15. Direct attention through brightness.
3. **One New Idea Per Scene** — Each scene introduces exactly one concept.
4. **Spatial Consistency** — Same concept occupies the same screen region throughout.
5. **Color = Meaning** — Assign colors to concepts, not mobjects. If velocity is blue, it stays blue.
6. **Progressive Disclosure** — Show simplest version first, add complexity incrementally.
7. **Transform, Don't Replace** — Use Transform/ReplacementTransform to show connections.
8. **Breathing Room**`self.wait(1.5)` minimum after showing something new.
9. **Visual Weight Balance** — Don't cluster everything on one side.
10. **Consistent Motion Vocabulary** — Pick a small set of animation types and reuse them.
11. **Dark Background, Light Content**#1C1C1C to #2D2B55 backgrounds maximize contrast.
12. **Intentional Empty Space** — Leave at least 15% of the frame empty.
## Layout Templates
### FULL_CENTER
One main element centered, title above, note below.
Best for: single equations, single diagrams, title cards.
### LEFT_RIGHT
Two elements side by side at x=-3.5 and x=3.5.
Best for: equation + visual, before/after, comparison.
### TOP_BOTTOM
Main element at y=1.5, supporting content at y=-1.5.
Best for: concept + examples, theorem + cases.
### GRID
Multiple elements via `arrange_in_grid()`.
Best for: comparison matrices, multi-step processes.
### PROGRESSIVE
Elements appear one at a time, arranged DOWN with aligned_edge=LEFT.
Best for: algorithms, proofs, step-by-step processes.
### ANNOTATED_DIAGRAM
Central diagram with floating labels connected by arrows.
Best for: architecture diagrams, annotated figures.
## Color Palettes
### Classic 3B1B
```python
BG="#1C1C1C"; PRIMARY=BLUE; SECONDARY=GREEN; ACCENT=YELLOW; HIGHLIGHT=RED
```
### Warm Academic
```python
BG="#2D2B55"; PRIMARY="#FF6B6B"; SECONDARY="#FFD93D"; ACCENT="#6BCB77"
```
### Neon Tech
```python
BG="#0A0A0A"; PRIMARY="#00F5FF"; SECONDARY="#FF00FF"; ACCENT="#39FF14"
```
## Font Selection
**Use monospace fonts for all text.** Manim's Pango text renderer produces broken kerning with proportional fonts (Helvetica, Inter, SF Pro, Arial) at all sizes and resolutions. Characters overlap and spacing is inconsistent. This is a fundamental Pango limitation, not a Manim bug.
Monospace fonts have fixed character widths — zero kerning issues by design.
### Recommended Fonts
| Use case | Font | Fallback |
|----------|------|----------|
| **All text (default)** | `"Menlo"` | `"Courier New"`, `"DejaVu Sans Mono"` |
| Code, labels | `"JetBrains Mono"`, `"SF Mono"` | `"Menlo"` |
| Math | Use `MathTex` (renders via LaTeX, not Pango) | — |
```python
MONO = "Menlo" # define once at top of file
title = Text("Fourier Series", font_size=48, color=PRIMARY, weight=BOLD, font=MONO)
label = Text("n=1: (4/pi) sin(x)", font_size=20, color=BLUE, font=MONO)
note = Text("Convergence at discontinuities", font_size=18, color=DIM, font=MONO)
# Math — always use MathTex, not Text
equation = MathTex(r"\nabla L = \frac{\partial L}{\partial w}")
```
### When Proportional Fonts Are Acceptable
Large title text (font_size >= 48) with short strings (1-3 words) can use proportional fonts without visible kerning issues. For anything else — labels, descriptions, multi-word text, small sizes — use monospace.
### Font Availability
- **macOS**: Menlo (pre-installed), SF Mono
- **Linux**: DejaVu Sans Mono (pre-installed), Liberation Mono
- **Cross-platform**: JetBrains Mono (install from jetbrains.com)
`"Menlo"` is the safest default — pre-installed on macOS, and Linux systems fall back to DejaVu Sans Mono.
### Fine-Grained Text Control
`Text()` does not support `letter_spacing` or kerning parameters. For fine control, use `MarkupText` with Pango attributes:
```python
# Letter spacing (Pango units: 1/1024 of a point)
MarkupText('<span letter_spacing="6000">HERMES</span>', font_size=18, font="Menlo")
# Bold specific words
MarkupText('This is <b>important</b>', font_size=24, font="Menlo")
# Color specific words
MarkupText('Red <span foreground="#FF6B6B">warning</span>', font_size=24, font="Menlo")
```
### Minimum Font Size
`font_size=18` is the minimum for readable text at any resolution. Below 18, characters become blurry at `-ql` and barely readable even at `-qh`.
## Visual Hierarchy Checklist
For every frame:
1. What is the ONE thing to look at? (brightest/largest)
2. What is context? (dimmed to 0.3-0.4)
3. What is structural? (dimmed to 0.15)
4. Enough empty space? (>15%)
5. All text readable at phone size?
+14
View File
@@ -0,0 +1,14 @@
#!/usr/bin/env bash
set -euo pipefail
G="\033[0;32m"; R="\033[0;31m"; N="\033[0m"
ok() { echo -e " ${G}+${N} $1"; }
fail() { echo -e " ${R}x${N} $1"; }
echo ""; echo "Manim Video Skill — Setup Check"; echo ""
errors=0
command -v python3 &>/dev/null && ok "Python $(python3 --version 2>&1 | awk '{print $2}')" || { fail "Python 3 not found"; errors=$((errors+1)); }
python3 -c "import manim" 2>/dev/null && ok "Manim $(manim --version 2>&1 | head -1)" || { fail "Manim not installed: pip install manim"; errors=$((errors+1)); }
command -v pdflatex &>/dev/null && ok "LaTeX (pdflatex)" || { fail "LaTeX not found (macOS: brew install --cask mactex-no-gui)"; errors=$((errors+1)); }
command -v ffmpeg &>/dev/null && ok "ffmpeg" || { fail "ffmpeg not found"; errors=$((errors+1)); }
echo ""
[ $errors -eq 0 ] && echo -e "${G}All prerequisites satisfied.${N}" || echo -e "${R}$errors prerequisite(s) missing.${N}"
echo ""
+64
View File
@@ -0,0 +1,64 @@
# p5.js Skill
Production pipeline for interactive and generative visual art using [p5.js](https://p5js.org/).
## What it does
Creates browser-based visual art from text prompts. The agent handles the full pipeline: creative concept, code generation, preview, export, and iterative refinement. Output is a single self-contained HTML file that runs in any browser — no build step, no server, no dependencies beyond a CDN script tag.
The output is real interactive art. Not tutorial exercises. Generative systems, particle physics, noise fields, shader effects, kinetic typography — composed with intentional color palettes, layered composition, and visual hierarchy.
## Modes
| Mode | Input | Output |
|------|-------|--------|
| **Generative art** | Seed / parameters | Procedural visual composition |
| **Data visualization** | Dataset / API | Interactive charts, custom data displays |
| **Interactive experience** | None (user drives) | Mouse/keyboard/touch-driven sketch |
| **Animation / motion graphics** | Timeline / storyboard | Timed sequences, kinetic typography |
| **3D scene** | Concept description | WebGL geometry, lighting, shaders |
| **Image processing** | Image file(s) | Pixel manipulation, filters, pointillism |
| **Audio-reactive** | Audio file / mic | Sound-driven generative visuals |
## Export Formats
| Format | Method |
|--------|--------|
| **HTML** | Self-contained file, opens in any browser |
| **PNG** | `saveCanvas()` — press 's' to capture |
| **GIF** | `saveGif()` — press 'g' to capture |
| **MP4** | Frame sequence + ffmpeg via `scripts/render.sh` |
| **SVG** | p5.js-svg renderer for vector output |
## Prerequisites
A modern browser. That's it for basic use.
For headless export: Node.js, Puppeteer, ffmpeg.
```bash
bash skills/creative/p5js/scripts/setup.sh
```
## File Structure
```
├── SKILL.md # Modes, workflow, creative direction, critical notes
├── README.md # This file
├── references/
│ ├── core-api.md # Canvas, draw loop, transforms, offscreen buffers, math
│ ├── shapes-and-geometry.md # Primitives, vertices, curves, vectors, SDFs, clipping
│ ├── visual-effects.md # Noise, flow fields, particles, pixels, textures, feedback
│ ├── animation.md # Easing, springs, state machines, timelines, transitions
│ ├── typography.md # Fonts, textToPoints, kinetic text, text masks
│ ├── color-systems.md # HSB/RGB, palettes, gradients, blend modes, curated colors
│ ├── webgl-and-3d.md # 3D primitives, camera, lighting, shaders, framebuffers
│ ├── interaction.md # Mouse, keyboard, touch, DOM, audio, scroll
│ ├── export-pipeline.md # PNG, GIF, MP4, SVG, headless, tiling, batch export
│ └── troubleshooting.md # Performance, common mistakes, browser issues, debugging
└── scripts/
├── setup.sh # Dependency verification
├── serve.sh # Local dev server (for loading local assets)
├── render.sh # Headless render pipeline (HTML → frames → MP4)
└── export-frames.js # Puppeteer frame capture (Node.js)
```

Some files were not shown because too many files have changed in this diff Show More