The staleness check's bespoke mtime memo keyed only on the user
config.yaml, but load_config() merges the managed-scope config
(HERMES_MANAGED_DIR/config.yaml, /etc/hermes) whose leaf keys win. A
managed honcho.timeout with no user config.yaml made the memo cache
'no timeout' while _build resolved the managed value — the same
perpetual-rebuild mismatch this PR fixes for honcho.json. A managed
timeout edit was likewise invisible while the user file's mtime stayed
put.
load_config_readonly() is already cached on both files' signatures plus
the env-ref snapshot, so use it instead of duplicating that
invalidation logic; the defensive deepcopy the old memo existed to
avoid is skipped by the readonly variant. Drive the rebuild test
through a real config.yaml and add a HERMES_MANAGED_DIR regression
test covering stable reuse and managed-timeout edits.
The staleness check added in #66052 resolved the timeout from env,
config.yaml, and the default only, while the build path also reads the
honcho.json host block (timeout/requestTimeout). With a timeout
configured in honcho.json, the two permanently disagreed: every
no-config get_honcho_client() call — i.e. every HonchoSessionManager
.honcho property access — interpreted the mismatch as a config change
and tore down and rebuilt the client, defeating the singleton on the
hot path it was meant to protect.
Teach the check to read honcho.json through the same host-aware chain
as from_global_config, memoized on the file's mtime_ns so the per-call
cost stays one stat(). A genuine honcho.json timeout change is now also
detected, extending #57437 to that config surface.
Community feedback (@LSanapalli on X): the inline task-creation form is
cramped inside a ~280px column with no way to resize; board-level
workspace defaults can't be changed after board creation; and users
believe they must block a task, comment, then unblock just to talk to
a worker.
- Create-task dialog: replace the inline column form with a centered
modal (reuses hermes-kanban-dialog chrome, 36rem wide) with labeled
fields for title, assignee, priority, skills, workspace kind/path,
goal mode, and parent task. Same request shape; Enter/Escape behavior
preserved; submit disabled until a title is present.
- Board settings dialog: new Settings button in the board switcher opens
a modal to edit display name, description, and the board-level default
project directory (default_workdir). PATCH /boards/:slug now accepts
default_workdir (validated absolute existing dir; empty string clears;
omitted leaves unchanged) and returns the recomputed
default_workspace_kind so task-creation defaults follow immediately.
- Comment workflow hint: the task drawer's comment box now explains that
comments land on the thread immediately and reach the worker on its
next run/kanban_show() — no block/unblock dance needed — with a fuller
tooltip for when blocking IS the right tool.
- i18n: new keys optional in the kanban namespace with English fallbacks
in the bundle (established pattern; avoids churning 17 locale files).
- Docs: dashboard section updated for the dialog + Settings button.
Keep each xAI OAuth auth-add login as an independent manual device-code pool entry and recognize xAI personal-team spending-limit 403 responses as billing exhaustion. Preserve the structured top-level error message so the failed credential is quarantined and the next healthy account is selected without attempting a pointless token refresh.
Route direct xAI HTTP consumers through the credential pool as well. Proactive and 401-reactive refreshes update the exact issuing manual entry, preserve validated xAI base URL overrides, and serialize single-use refresh-token rotation across concurrent pool instances.
Follow-ups for the consolidated salvage:
- Memoize the config.yaml-derived timeout on the file's mtime_ns so the
rebuild-on-timeout-change check from PR #57437 costs one stat() per
get_honcho_client() call instead of a full YAML load on the hot path.
- hermes honcho status now displays the host-block-resolved
dialecticCadence (remnant from PR #63776, whose runtime fix landed
in #62290).
- AUTHOR_MAP entries for the salvaged contributor emails.
The Honcho client singleton cached the HTTP timeout at first build.
In long-lived processes (gateway, dashboard), changing the timeout
via config.yaml or HONCHO_TIMEOUT had no effect until restart.
Track the resolved timeout alongside the cached client and compare
on each get_honcho_client() call. When the timeout differs, reset
the singleton so the next call rebuilds with the new value.
Fixes#57347
Fixes Honcho client initialization for setup-generated configs that store
connection details in a named host block (e.g. "local"). Previously:
- base_url was only read from flat config root, not from host_block.
- resolve_active_host() ignored defaultHost and always used the Hermes
profile key ("hermes"), so the host block lookup returned {} and the
api_key was also lost.
FixesNousResearch/hermes-agent#61661
honcho_reasoning's minimal tier hard-caps Honcho's dialectic output at 250
tokens combined with the model's own hidden reasoning tokens. Confirmed via
direct honcho-api server logs that a multi-fact query ("summarize known
facts about this peer and communication preferences") run at
reasoning_level=minimal gets cut off mid chain-of-thought at exactly
output_tokens=250, before the model ever reaches a synthesized answer.
low/medium/high/max fall back to Honcho's much larger global dialectic
default and don't hit this cap. Since dialecticDynamic is on by default and
the calling model picks reasoning_level itself via this tool parameter, the
fix is to make the tradeoff explicit in the parameter description so the
model defaults to low unless the query is genuinely a single-fact lookup.
Schema-description-only change; the shared dialectic_max_chars truncation
cap in session.py's dialectic_query() is a separate fix (its own PR).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
_fetch_session_context was using user_peer_id directly as observer
when calling _fetch_peer_context, bypassing _resolve_observer_target.
This caused honcho_context to return empty data because the observer
perspective was wrong (user instead of hermes/assistant).
Fixed by resolving observer via _resolve_observer_target(session, 'user'),
consistent with all other call sites (get_peer_card, honcho_search, etc.).
queryRewrite (default off) gates the latest-message rewrite so the
extra auxiliary LLM call is opt-in. firstTurnBaseWait and
firstTurnDialecticWait expose the turn-1 bounded waits in seconds
(0 disables). All three resolve host-block-first like every other
field. Also pins per-host timeout resolution with tests.
Move query_rewrite from the honcho plugin to plugins/memory/ and
rename the auxiliary task key honcho_query_rewrite ->
memory_query_rewrite so any memory provider can use the same
rewrite path and model/timeout config block. No behavior change.
dialecticMaxChars (default 600) is documented as the budget for the dialectic
supplement auto-injected into the system prompt every turn — a small recurring
cost that is correct to bound tightly. But dialectic_query() applied that cap
unconditionally, so explicit honcho_reasoning tool calls — where the model
deliberately spends a turn asking for a synthesized answer — were silently
truncated mid-word to 600 chars with a trailing " …", no error surfaced. The
full answer is returned by Honcho server-side; the clip happens client-side.
The auto-injection path already has its own token-based budget (contextTokens,
enforced in prefetch() via _truncate_to_budget), so the char cap's real job is a
cheap always-on guardrail for that recurring injection. Explicit tool results
are already bounded server-side by Honcho's dialectic MAX_OUTPUT_TOKENS and don't
need the injection cap — sibling tools (honcho_search, honcho_context) don't
post-clip their results either.
Add apply_injection_cap (default True, preserving current behavior) to
dialectic_query(); the honcho_reasoning tool handler passes False so it returns
Honcho's full synthesized answer. Auto-injection is unchanged. Tests cover both
the capped injection path and the uncapped tool path.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
honcho_conclude's delete action was unreachable in practice: no tool ever
surfaced a real conclusion id for the model to pass as delete_id.
honcho_search only searches the separate Message resource space, and the
SDK's ConclusionScope.list()/.query() (which do return real Conclusion.id
values) were never wired into any tool.
Adds an optional list mode to honcho_conclude (query to search, omit to
browse recent conclusions), backed by a new
HonchoSessionManager.list_conclusions(). No new tool, no changes to the
create/delete signatures or their conclusions_of() routing.
injectionFrequency='first-turn' returned empty for the entire
prefetch_context() method on turns 2+, which blocked the dialectic
supplement from being consumed and injected. The dialectic has its
own cadence (dialecticCadence) and must continue to fire and inject
independently of the base context layer.
Now first-turn mode gates only Layer 1 (base context: representation
+ card), letting Layer 2 (dialectic supplement) flow through its
normal consumption path on every turn.
Also fixes all remaining tests that passed dialecticCadence via
cfg_extra={'raw': {...}} to use the typed dialectic_cadence field.
injectionFrequency, contextCadence, and dialecticCadence were read
only via raw.get() which checks root-level keys in honcho.json.
Settings placed inside hosts.<name> (the normal per-host location)
were silently ignored, falling back to defaults.
- Add typed dataclass fields: injection_frequency, context_cadence,
dialectic_cadence with host-block-first resolution chains matching
the pattern used by all other config fields.
- Update HonchoMemoryProvider.initialize() to read from typed cfg
fields instead of cfg.raw directly.
- Fix search_context tests that mocked _honcho directly — the
.honcho property getter calls get_honcho_client() which overwrites
the backing field, so use patch.object on the property instead.
- Add injection_frequency and context_cadence config override tests.
HonchoClientConfig timeout/requestTimeout resolution skipped the per-host config
block, silently dropping a host-scoped timeout and falling through to the global
config.yaml value (or the default). Add the host block at the front of the
resolution chain, consistent with every other field (base_url, api_key, etc.).
Symptom: Honcho logs show a dialectic answer was generated, but Hermes never
injects it — intermittently.
Root cause: the dialectic supplement that queue_prefetch() fires at the end of
turn N is stored pending (fired_at=N) for consumption by turn N+1's prefetch().
But prefetch()'s trivial-prompt guard returned early BEFORE the consumption
block. So when turn N+1's prompt was trivial ('ok', 'yes', 'continue', a slash
command), the ready result was never consumed, and a few turns later the
stale-discard guard dropped it. Generated by Honcho, never seen by the model.
The dependence on 'is the consuming turn trivial?' is why the loss looked random.
Fix: trivial turns now consume and inject a ready, non-stale pending result while
still spending no new work (no base-context fetch, no new dialectic fire). A
trivial ack shouldn't generate context, but it shouldn't destroy an answer
already computed for that exact turn. Extracted the pop+stale-check into a shared
_consume_pending_dialectic() used by both the trivial path and the normal path so
they age-check identically.
Preserved (covered by new tests): genuinely stale results are still discarded on
trivial turns; trivial turns still fire no new work; a trivial turn with nothing
pending still injects nothing.
Adds regression tests for inject-on-trivial and discard-stale-on-trivial.
A brand-new session injected no Honcho context on the user's first message —
the peer card/representation only showed up from turn 2 onward. The base-context
fetch was fired asynchronously and popped in the same synchronous pass, so it
always lost the race on turn 1 (a background thread can't finish inside one
pass), leaving the first response with zero recalled context.
Fetch the base layer (representation + card + summary) synchronously with a
bounded timeout on turn 1 so the peer card is injected immediately; subsequent
turns still consume the background-refreshed result primed by queue_prefetch().
The wait is bounded by _FIRST_TURN_BASE_TIMEOUT and tightened further by a small
configured request timeout (fail-fast deployments / tests).
Two related first-turn/dialectic reliability fixes ride along:
- first-turn dialectic no longer double-fires: if a prewarm .chat() thread is
already in flight from session init, turn 1 waits briefly for it instead of
firing a second (duplicate) call that also blocked the first response. The
first-turn wait is decoupled from a large host timeout (a 60s host timeout
must not block the first response for 60s) via _FIRST_TURN_DIALECTIC_CAP,
while still honoring a tight configured timeout.
- empty-pass propagation guard in multi-pass dialectic: at depth > 1 each pass
feeds the prior pass's output into the next prompt. If a pass returned empty
(e.g. a reasoning model that spent its whole budget thinking), the next prompt
carried a blank assessment (the "empty spot" seen in Honcho request logs). Now
only non-empty prior results feed dependent passes; if all priors are empty,
re-issue the base prompt instead of referencing nothing.
The five Honcho tool schemas had overlapping/misleading descriptions, making it
hard for the model to pick the right one, plus two concrete correctness bugs:
- honcho_context advertised an 'Optional focus query' parameter that the dispatch
never read. The model could pass query= expecting filtering that never happened.
Remove the dead parameter; honcho_context is an honest no-query snapshot. Focused
retrieval now lives in honcho_search (see prior commit).
- honcho_conclude's peer param was described as 'Peer to query' — wrong; it's the
peer the conclusion is ABOUT. Corrected.
Rewrite all five descriptions to give each tool a distinct mental model and
cross-reference siblings:
profile = read/write the compact card (cheapest, no query, no LLM)
search = find what was actually said, ranked, cross-session (cheap, no LLM)
reasoning= ask a question, get a synthesized answer (the only LLM tool; expensive)
context = a fixed session snapshot (no query, no LLM)
conclude = write a durable fact to the profile
Addresses the honcho_context query param half of #29402 (see PR notes for the
divergence from that issue's proposed wire-through approach).
honcho_search routed through search_context() -> peer.context(search_query=),
which returns the peer's standing representation + card. The search_query arg
does not turn that endpoint into a search, so results were effectively
query-independent: the same representation blob regardless of the query. Factual
lookups ('what medication', 'which value did we pick') returned noise.
Rewire search_context() to call the workspace message-search endpoint
(Honcho.search) with a peer_perspective filter: RRF-ranked (hybrid semantic +
full-text) raw message excerpts spanning every session the peer was a member of,
across all authors, membership-time-scoped. This is the cross-session factual
recall primitive.
peer_perspective is chosen over the alternatives because it is the only scope
that is simultaneously (a) cross-session, (b) inclusive of assistant-authored
facts about the peer (peer-author search drops these, and they are a large part
of what you want to recall about yourself), and (c) privacy-scoped to the peer's
own sessions (plain workspace search leaks other peers' sessions).
- snippets are labeled by author so the model can tell user-stated facts from
assistant-derived ones
- max_tokens is now an enforced budget (was accepted but meaningless)
- graceful fallback to peer-authored search if peer_perspective is unsupported
- query length clamped under the embedding input cap
Replaces 3 change-detector tests that asserted the old representation-dump
behavior with 4 that assert the message-search contract + fallback path.
Bare /reasoning and /fast now render a native one-tap picker on
picker-capable platforms, with automatic fallback to the text status
card everywhere else — parity with the /model picker UX.
- gateway/slash_commands.py: generic send_choice_picker capability gate
(detected on the adapter type, like send_model_picker); selection and
typed arguments flow through one shared application path so they can
never diverge; choices built from VALID_REASONING_EFFORTS so future
levels appear automatically
- telegram: flat inline-keyboard picker (cp:<idx> callbacks), authorized
users only (same gate as approval buttons)
- discord: ChoicePickerView select menu, auth mirrors ExecApprovalView,
2-minute timeout with expiry edit
- matrix: reaction-based picker; reaction set extended to 12 slots to
fit the full effort ladder + subcommands
- locales: picker_title + choice labels in all 16 languages
- docs: ADDING_A_PLATFORM.md capability table
Closes#61110.
The Discord /reasoning command declared a single free-text `effort`
parameter, so the native UI funneled every invocation into that one box
and never surfaced the reset / show / hide subcommands the gateway
handler already supports. Replace the free-text param with an explicit
choices dropdown covering the effort levels plus reset/show/hide,
mirroring the existing /tokens and /voice commands. --global persistence
stays reachable by typing the command as plain text.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The Copilot provider profile unconditionally mapped ``xhigh`` to ``high`` before
checking the model's catalog, so models that DO support ``xhigh`` (e.g. the
gpt-5.x family per the live /models catalog) were silently capped one level
down.
Honor the requested effort when the catalog lists it as supported, and only
downgrade when it does not, choosing the nearest weaker supported level
(xhigh->high, minimal->low, else medium, else the first supported level). This
matches the nearest-down clamp behavior used elsewhere for the ``max`` effort.
Adds tests/plugins/model_providers/test_copilot_profile.py covering forward,
downgrade, and fallback paths (catalog lookup stubbed).
Three follow-up fixes to the salvaged reasoning_effort support, all verified
live against ollama.com /v1/chat/completions + /api/show on deepseek-v4-pro,
gemma3, and qwen3-coder:
1. Capability-gate on /api/show 'thinking'. The original ignored the
supports_reasoning flag and emitted reasoning_effort for every model. Now
gated: only models whose native /api/show capabilities list contains
'thinking' (deepseek-v4 yes; gemma3 / qwen3-coder no) get reasoning_effort.
Mirrors the LM Studio pattern — capability resolved once per (model,
base_url) in run_agent._supports_reasoning_extra_body via a cached probe
(hermes_cli.models.ollama_model_supports_thinking), threaded into the
profile hook as supports_reasoning. No live HTTP in the per-request path.
2. Disable actually disables. Ollama Cloud defaults to thinking ON and IGNORES
the extra_body.thinking:{type:disabled} shape (verified: still returned
reasoning). The only working off switch is top-level reasoning_effort:'none'.
The salvaged code returned ({}, {}) for enabled:false / effort:none, leaving
thinking ON. Now emits {'reasoning_effort': 'none'}.
3. Omit unrecognized effort. The original forwarded any unknown string verbatim
including 'minimal' (a real Hermes effort level). Ollama Cloud rejects
unrecognized values with a hard HTTP 400 (accepted set: low/medium/high/
max/none), so forwarding 'minimal' would break the request. Now omitted.
Core touches (run_agent.py, hermes_cli/models.py) add the capability probe;
the plugin profile only consumes the resolved flag. 24/24 profile tests green;
194 provider/transport tests unaffected.
The salvaged attachment-toolset commit predated main centralizing the
25 MB cap as kanban_db.KANBAN_ATTACHMENT_MAX_BYTES and re-introduced a
private _MAX_ATTACHMENT_BYTES alias. Drop the duplicate: kanban_db's
store_attachment_bytes(), the dashboard upload endpoint, and the
kanban_attach_url tool all reference the one shared constant now, and
the tests monkeypatch that same name.
The kanban board has had full attachment storage and a dashboard HTTP
API (upload/list/download/delete) since #35338, but there was no agent
toolset tool and no `hermes kanban` CLI verb for attachments. Agents and
scripts that don't go through the dashboard server (or can't touch the DB
directly) had no way to create or read real attachments — only links in
comments.
Close that gap by mirroring the existing comment surface:
- `kanban_db.store_attachment_bytes()` — one shared write path (validate
name, enforce the 25 MB cap, write the blob under the per-task dir with
collision-free naming, insert the metadata row, clean up an orphan blob
if the insert fails). `_MAX_ATTACHMENT_BYTES`, `_safe_attachment_name`,
and a new `_collision_free_path` move here so the dashboard, the tool,
and the CLI all share one implementation and can't drift.
- Tools (`tools/kanban_tools.py`): `kanban_attach` (inline base64),
`kanban_attach_url` (server-side http/https fetch with the same cap),
`kanban_attachments` (list). Write tools respect worker task-ownership;
list is read-only. Registered in the `kanban` toolset.
- CLI (`hermes_cli/kanban.py`): `attach <id> <path>`, `attachments <id>`,
`attach-rm <attachment_id>`.
- Dashboard `upload_task_attachment` now imports the shared helpers and
uses `_collision_free_path` — behavior identical (still streams to disk
with the cap, still 413 on overflow).
- Docs (AGENTS.md, kanban-worker skill) and toolset membership updated.
Tests: tool round-trip + oversize + bad base64 + ownership; attach_url
against a local HTTP fixture incl. oversize-mid-stream and non-http
scheme rejection; CLI attach/attachments/attach-rm; shared-helper unit
tests; dashboard parity preserved.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Same bug class as the salvaged #65305/#65307: hmac.compare_digest (and
secrets.compare_digest) raise TypeError when given a str containing
non-ASCII characters, and these call sites feed it raw request input.
Compare as UTF-8 bytes everywhere:
- gateway/platforms/msgraph_webhook.py: clientState from request body
- gateway/platforms/whatsapp_cloud.py: hub.verify_token query param +
X-Hub-Signature-256 header (comment claimed 'works on str' — it
doesn't for non-ASCII)
- plugins/platforms/feishu: verification token + x-lark-signature
- plugins/platforms/raft: bridge token header
- plugins/platforms/line: X-Line-Signature
- plugins/platforms/sms: X-Twilio-Signature
- tools/code_execution_tool.py: sandbox RPC token (both loops)
Regression tests for the two gateway-core sites (msgraph, whatsapp).
Partial cherry-pick of a7ffbbff7 from PR #63256: secondary-profile
adapter creation errors no longer abort the whole secondary startup
(try/except around _create_adapter + loud warning on None return), and
Home Assistant's check_ha_requirements() becomes dep-only with the
credential moved to a new validate_ha_config() so secondary profiles
whose HASS_TOKEN lives in the profile secret scope are not silently
dropped by the registry gate.
Telegram diagnostic hunks and profile-label stamping dropped: the
regression they targeted does not exist on current main and they
conflict with the connect() teardown fence.
Secondary profiles under gateway multiplex keep tokens/allowlists in
profile secret_scope, not process os.environ. Auth and Slack were still
reading os.getenv, so Slack on a secondary profile failed allowlist and
socket mode. Webhook deliver also only looked at default adapters.
- Prefer get_secret for allowlists / allow-all flags (authz_mixin)
- Slack app token + allowlist via secret_scope with getenv fallback
- Wrap secondary profile message handlers in _profile_runtime_scope
before auth runs
- Resolve home-channel env from secret_scope / PlatformConfig
- Webhook deliver falls back to _profile_adapters for target platform
- Template key event_type for webhook prompts
Add a telegram.free_response_topics config list of '<chat_id>:<thread_id>'
entries (plus the TELEGRAM_FREE_RESPONSE_TOPICS env bridge) so a single
forum topic can be free-response — the bot replies without a mention —
without opening the whole chat via free_response_chats. A missing
message_thread_id is normalized to the General topic ('1') via
_effective_message_thread_id.
Re-ported from PR #36049 (by @wesleion): the original patched
gateway/platforms/telegram.py, which has since moved to
plugins/platforms/telegram/adapter.py with a second gating site
(_should_observe_unmentioned_group_message) and plugin-hook config
bridging (_apply_yaml_config). Both gating sites now honor
free_response_topics.
Salvaged-from: #36049
Telegram only auto-derives a voice/audio clip's duration from container
metadata for short recordings; clips longer than ~4:50 are delivered with
duration 0 and render as 0:00 in the player. Probe the length locally
(stdlib wave -> mutagen -> ffprobe) and pass duration explicitly to
sendVoice/sendAudio. Best-effort: when nothing can read the file we omit
duration and fall back to Telegram's prior behavior.
Extracts and hardens the Telegram-only part of the stale, Piper-bundled
PR #7815 (ffprobe-only, predates the send_voice retry/anchor refactor);
relates to #8508.
Extends @AlexFucuson9's 3-site fix (#58594) across the full adapter:
every logger call and SendResult.error that interpolates a raw PTB
exception now routes through _redact_telegram_error_text(). Covers
polling conflict/retry/network ladders, overflow-split edits, draft
sends, prompt/approval/clarify/picker sends, media send fallbacks,
media cache failures, reactions, and chat-info lookups (48 additional
sites). Telegram Bot API exceptions embed the token in the request URL
(/bot<TOKEN>/<method>), so any raw str(exc) is a leak surface.
Adds regression tests for SendResult.error redaction (update prompt,
clarify) and delete_message debug-log redaction.
