Rich messages are not ready for primetime: current Telegram clients can
render Bot API 10.1 rich messages as blank/unsupported bubbles and make
them hard to copy as plain text, which is worse than the legacy
MarkdownV2 path for command snippets and mobile handoffs. Default the
rich_messages toggle to False so replies stay on the copyable legacy
path; users opt in per bot via platforms.telegram.extra.rich_messages:
true. Updates adapter, gateway config default, example config, English +
zh-Hans docs, and the default/opt-in tests.
The gateway pre-compression hygiene valve force-compressed any session
crossing 400 messages regardless of token usage. On large-context (1M+)
models doing many short, message-dense turns, a healthy session at ~16%
token usage could hit 400 messages and get force-compressed — and the
compression summary's stale Active Task could then bleed into the next
turn.
The valve's actual purpose is to break a death spiral: when API calls
keep disconnecting on an oversized session, no token-usage data arrives,
the token threshold never fires, and the transcript grows unbounded.
It's a count-based floor for that pathological case only. 400 was tuned
for ~200K-context models and is far too low for modern large-context
sessions. Raise the default to 5000 — still well clear of any death
spiral, but no longer firing on legitimate long conversations.
The value remains fully configurable via compression.hygiene_hard_message_limit.
Adds hermes_cli/context_switch_guard.py mirroring the model_cost_guard
pattern. When a user switches models mid-session (Herm TUI picker, CLI,
or /model on Telegram/Discord), the warning surfaces on the existing
ModelSwitchResult.warning_message path used by the expensive-model
guard if the new model's compression threshold is below the current
session size.
Partial fix for #23767 — addresses only the 'user-facing guardrail
when switching from a high-context provider to a substantially
lower-context provider' slice. The other proposed fixes from that
issue (hard preflight token guard, metadata cache invalidation on
switch, compression safety invariant, oversized tool-output handling)
are out of scope for this PR.
- Remove the 'you only log in once per machine' claim from spotify.md
and document the ~6-month refresh token expiry with re-auth instructions
- Add test_client_wraps_invalid_grant_as_spotify_auth_required_error to
confirm SpotifyClient wraps AuthError(code=spotify_refresh_invalid_grant)
into SpotifyAuthRequiredError with a user-facing message
Refs: #28155
When model.context_length is set in config.yaml, it blocks auto-detection
from the server's /v1/models endpoint. The skill incorrectly implied a
hard fallback to 131072. Add the resolution chain and the fix command
(hermes config set model.context_length "") to both the config table
and a new troubleshooting section.
Closes#48835
The bundled himalaya skill and its website docs documented command
syntax that does not match Himalaya CLI v1.2.0.
Verified against pimalaya/himalaya v1.2.0 source:
- message move: MessageMoveCommand declares target_folder BEFORE
envelopes (src/email/message/command/move.rs) -> usage is
'<TARGET> <ID>...', so 'move 42 "Archive"' is wrong; correct is
'move "Archive" 42'.
- message copy: same ordering in copy.rs.
- attachment download: AttachmentDownloadCommand exposes the flag as
'-d, --downloads-dir <PATH>' (src/email/message/attachment/command/
download.rs), not '--dir'.
Fixed in all three surfaces that carried the wrong examples:
- skills/email/himalaya/SKILL.md
- website/docs/.../email-himalaya.md
- website/i18n/zh-Hans/.../email-himalaya.md
* feat(setup): Blank Slate setup mode — minimal agent, opt in to everything
Adds a third first-time setup option alongside Quick Setup and Full Setup.
Blank Slate forces ON only what an agent needs to run — provider & model,
the File Operations toolset, and the Terminal toolset — and turns
everything else OFF, then walks the user through opting each capability
back in.
What it does:
- platform_toolsets.cli = [file, terminal] (explicit, authoritative list)
- agent.disabled_toolsets = every other known toolset (web, browser,
code_execution, vision, memory, delegation, cronjob, skills, image_gen,
kanban, …). Applied last in the resolver, so it overrides the
non-configurable platform-toolset recovery that would otherwise re-add
toolsets like kanban — guaranteeing a true blank slate.
- Optional config features off: compression, memory + user-profile capture,
checkpoints, smart model routing, auto session reset.
- Bundled skills default to NONE (reuses the .no-bundled-skills marker);
offers to seed the full catalog.
- Walks through tools / plugins / MCP / messaging, all opt-in.
Proven end-to-end: with the Blank Slate config, model_tools.get_tool_definitions
emits exactly 6 schemas — patch, process, read_file, search_files, terminal,
write_file. Nothing else reaches the model.
Re-enable later via hermes tools / hermes skills opt-in --sync /
hermes setup agent.
Tests: tests/hermes_cli/test_setup_blank_slate.py (8 tests) pin the writers,
the resolver invariant ({file, terminal}), and the 6-schema end-to-end set.
Docs: getting-started/quickstart.md documents all three setup modes.
* feat(setup): Blank Slate fork — finish minimal, or walk through configs
After applying the minimal baseline (provider/model + file + terminal,
everything else off), Blank Slate now presents a choice instead of always
running the full walkthrough:
1. Start with everything disabled — finish now with the minimal agent.
2. Walk through all configurations — opt in to tools, skills, plugins, MCP,
and messaging.
Provider/model and terminal are still configured first either way (the agent
can't run without them). The finish-now path records the bundled-skill opt-out
so future `hermes update` runs don't re-inject skills. The walkthrough body
moved to a separate _blank_slate_walkthrough() helper.
Tests: TestBlankSlateFork covers both branches (finish-now applies baseline +
skill opt-out and skips the walkthrough; walkthrough path invokes it). Docs
updated to describe the fork.
Sets the Telegram bot's short description (the line under its name) to
"Online" on gateway connect and "Offline" on clean disconnect, gated
behind extra.status_indicator (off by default).
Telegram bots have no presence/online dot — that's a user-account
feature the Bot API doesn't expose for bots. The short description is
the closest available surface, so this gives users a way to tell whether
the gateway is up from the bot's profile.
- New extra.status_indicator flag (+ status_online/status_offline text
overrides), read in __init__ via config.extra — no config-schema change.
- _set_status_indicator() helper: best-effort, swallows API errors so it
never blocks connect/disconnect; truncates to Telegram's 120-char cap.
- Wired Online after _mark_connected(), Offline at top of disconnect()
while the bot HTTP client is still alive.
- 9 unit tests + Telegram docs section.
Requested by @ilTrumpista, cc @Teknium.
Adds a Raft platform adapter as a bundled plugin (plugins/platforms/raft/)
connecting Hermes to Raft as an external agent via a wake-channel bridge.
The adapter starts a loopback HTTP endpoint, spawns 'raft agent bridge' as a
child process, and injects content-free wake hints into the gateway session
pipeline. The agent reads/sends messages through the Raft CLI; the adapter
never touches message bodies or delivery cursors. Activity observer hooks
report tool/LLM/session lifecycle events via a bounded at-most-once queue.
Auto-enables when RAFT_PROFILE is set.
Cherry-picked from PR #47629. Authored by skyzh (@xxchan).
Extend the 'Running Many Gateways at Once' user-guide page with a
'one gateway for all profiles (multiplexing)' section, kept to a single page:
- How to opt in (gateway.multiplex_profiles on the default profile) and when to
prefer it vs one-process-per-profile.
- Every contract change a user sees when the flag is on:
1. secondary-profile 'gateway start' is a hard error (--force escape hatch),
2. HTTP-inbound reached via /p/<profile>/ prefix; secondary profiles must NOT
enable a port-binding platform (webhook/api_server/msgraph_webhook/feishu/
wecom_callback/bluebubbles/sms) — config error at startup,
3. per-credential platforms still need their own token per profile,
4. session keys namespaced agent:<profile>: (default stays agent:main:),
5. single PID/lock + aggregated hermes status, per-profile runtime_status.json.
- What does NOT change: per-profile .env credential isolation (stricter, incl.
MCP/Kanban subprocess env), Kanban, profile-scoped skills/memory/SOUL, routing.
All inert when the flag is off.
Add a ChatGPT-style conversation list beside the embedded TUI on the
dashboard Chat tab so users can swap sessions without leaving the page.
- New ChatSessionList component: lists recent sessions for the active
profile (title/preview, last-active, message count, source), a New chat
button, and a refresh control. Best-effort like ChatSidebar.
- Selecting a row drives /chat?resume=<id>, which ChatPage already treats
as part of the PTY identity, so the terminal respawns resuming that
conversation. Active row is highlighted; New chat clears resume.
- Wired into ChatPage as a dedicated right-side column (desktop) and into
the existing slide-over panel above model/tools (narrow screens).
- i18n: new sessions.newChat key across all locales.
- Read-only switcher by design — delete/rename/export stay on Sessions.
Docs: web-dashboard.md Chat section documents the switcher.
gui.log was registered in hermes_cli/logs.py::LOG_FILES (and surfaced by
`hermes logs gui`) but was never wired into `hermes debug share`. The share
report captured agent/errors/gateway/desktop tails plus full agent/gateway/
desktop logs — but nothing from gui.log, the surface the dashboard, TUI-over-
PTY bridge, and websocket layer (hermes_cli.web_server / pty_bridge /
tui_gateway) actually write to. A user reporting a dashboard or TUI bug shared
zero breadcrumbs from the broken surface.
Wire gui.log through all three share surfaces, matching the existing pattern:
- _capture_default_log_snapshots(): capture the gui snapshot (redacted like the rest)
- collect_debug_report(): add the gui.log summary tail block
- build_debug_share(): pull gui full_text, prepend dump header + redaction banner, add to the upload loop
- run_debug_share() --local branch: same, plus the local print block
- _PRIVACY_NOTICE: name gui.log in both bullets
Redaction is inherited for free — the gui snapshot goes through the same
_capture_log_snapshot(..., redact=redact) path, so secrets are scrubbed in
both the tail and full text (verified E2E: seeded key masked by default,
passes through under --no-redact, raw token never leaks).
Tests: seed gui.log in the fixture, add test_report_includes_gui_log, and bump
the upload-count tripwire 4->5 (test_share_uploads_five_pastes).
* feat(skills): add html-artifact skill, fold in sketch + architecture-diagram + concept-diagrams
Adds a unified `html-artifact` creative skill that produces self-contained,
single-file HTML artifacts — concept explainers, implementation plans,
status/incident reports, code-review walkthroughs, technical + educational
SVG diagrams, multi-variant design comparisons, and throwaway editors that
export their state back to the clipboard. Grounded in Anthropic's
html-effectiveness gallery (MIT); the house style (token block, serif/sans/
mono split, hand-rolled diffs, inline-SVG diagrams, graceful degradation) is
distilled from reading all 20 reference files.
Supersedes and removes three overlapping skills, folding their unique value in:
- sketch -> the fidelity dial (throwaway vs presentation) + the
multi-variant comparison layouts + the browser-vision
verify loop (references/fidelity-and-verify.md)
- architecture-diagram-> the dark "infra" token variant + double-rect masking +
semantic component palette (references/dark-tech.md,
templates/diagram.html infra mode)
- concept-diagrams -> the 9-ramp educational color system + the concept
archetype library (references/concept-archetypes.md,
the light design system in templates/diagram.html)
Structure:
- SKILL.md (description exactly 60 chars), 6 references, 3 templates
- templates verified by headless-Chrome render + vision inspection
- editor export logic (file://-safe clipboard, Promise-normalized) verified in node
Cross-references updated in claude-design (new disambiguation table row drawing
the design-taste vs information-artifact boundary), design-md, pretext, spike,
and kanban-video-orchestrator. Website skill docs + catalogs regenerated;
stale EN/zh-Hans per-skill pages pruned and i18n cross-refs fixed.
Not folded (intentionally orthogonal): excalidraw (.excalidraw JSON), p5js
(generative canvas), claude-design / popular-web-designs / design-md (visual
design taste / brand vocab / token spec).
* feat(skills): ship html-effectiveness gallery as fetched reference examples
Add scripts/fetch-examples.sh (idempotent clone/pull of Anthropic's MIT
html-effectiveness gallery) + references/examples.md mapping each of the 20
example files to a mode so the agent reads the right worked example. The clone
lands in references/examples/ and is gitignored (it's a 384KB upstream repo,
not vendored). SKILL.md workflow + reference list now point at it; falls back to
the distilled pattern references when offline.
* feat(skills): make reading a gallery example a required authoring step
Reading the matching html-effectiveness example is now workflow step 2 (was an
optional aside in step 3): fetch the gallery, read_file the file for your mode,
mirror its structure. Models skip optional steps; the examples are the ground
truth, so consulting one is mandatory. Added an 'Example' column to the
mode->build quick-reference table and a 'don't skip the example' pitfall.
Also dogfooded the skill: read 03-code-review-pr.html and 13-flowchart-diagram.html
raw and reconciled the distilled references against source — aligned diff-row tint
opacity to the source's 0.15 (was 0.18) and added the .ctx/.hunk rows in
house-style.md + base.html so they match 03-code-review-pr.html verbatim.
* docs(skills): explain the consolidation + bundled-vs-optional rationale
The supersession note only stated *what* was folded, not *why* the prune is
sound. Expand SKILL.md's intro into a 'Why this skill exists' section: the three
former skills emitted the same artifact and overlapped, so consolidating removes
which-one-do-I-load ambiguity; and the optional->bundled promotion of
concept-diagrams is footprint-safe because this skill has zero deps (only cost is
the 60-char description; everything else is progressive-disclosure). States the
bundling dividing line explicitly: zero install cost + broadly useful gets
bundled, real install cost (hyperframes: Node+FFmpeg+Chromium) stays optional.
Regenerated website per-skill page to match.
* feat(image-gen): add image-to-image / editing to image_generate
Brings image generation to parity with video generation: the unified
image_generate tool now edits/transforms a source image (image-to-image)
when given image_url / reference_image_urls, routing to each backend's
edit endpoint, exactly as video_generate routes to image-to-video.
- ImageGenProvider ABC: generate() gains keyword-only image_url +
reference_image_urls; new capabilities() declares modalities +
max_reference_images (defaults to text-only, backward compatible).
success_response gains a modality field; adds normalize_reference_images.
- image_generate tool: schema exposes image_url + reference_image_urls;
dynamic schema reflects the active model's actual edit capability so the
agent knows when image_url is honored. Handler + plugin dispatch forward
the new inputs; legacy/text-only providers get a clear modality_unsupported
error instead of silently dropping the source image.
- In-tree FAL: 7 models gain edit endpoints (flux-2-klein, flux-2-pro,
nano-banana-pro, gpt-image-1.5, gpt-image-2, ideogram/v3, qwen-image)
with per-model edit_supports whitelists + reference caps; routes to the
/edit endpoint and skips the upscaler for edits.
- Plugins: openai (images.edit, 16 refs), xai (/v1/images/edits via
grok-imagine-image-quality, JSON body per xAI docs), krea
(image_style_references, 10 refs). openai-codex stays text-only and
rejects edits with an actionable error.
- Tests: 15 new (payload, routing, dispatch forwarding, dynamic schema,
capabilities); updated 2 change-detector/lambda tests for the new schema.
- Docs: image-generation feature page, image-gen provider plugin guide,
tools reference.
* fix(image-gen): preserve legacy passthrough in fal/krea plugin tests
Two existing plugin tests asserted pre-image-to-image behavior:
- fal: forward image_url/reference_image_urls only when supplied, so a
text-to-image delegation stays byte-identical (no None kwargs).
- krea: keep dict-shaped image_style_references refs verbatim (the unified
string refs go through normalize_reference_images; legacy non-string ref
objects pass through unchanged) — fixes KeyError when callers pass the
richer Krea ref-object shape.
* fix(image-gen): clearer not-capable message for text-to-image-only models
When a text-to-image-only model (incl. gpt-image-2 on the Codex OAuth path,
which can't do editing through the Responses image_generation tool) gets a
source image, say 'this model is not capable of image-to-image / editing —
provide a text-only prompt' rather than sending the user shopping for other
backends. Applies to the openai-codex guard, the in-tree FAL no-edit-endpoint
error, and the dynamic tool-schema text-only line.
Adds a 'Customizing platform hints' section to the Prompt Assembly
developer guide covering the append/replace/shorthand shapes, the
defensive fallback, and the cache-stable lifecycle (stable tier,
resolved at build time).
When a worker calls kanban_create from inside a session that has a
persistent delivery channel, the originating session is now subscribed
to the new task's completion/block events automatically. The agent
that dispatched the task gets notified instead of having to poll.
- Gateway sessions (telegram/discord/slack): HERMES_SESSION_PLATFORM +
HERMES_SESSION_CHAT_ID ContextVars, set by the messaging gateway.
- TUI / desktop sessions: HERMES_SESSION_KEY in the subprocess env.
The TUI notification poller keys on platform='tui' + chat_id=<key>.
- CLI / cron / test: no persistent channel, no subscription.
Gated by kanban.auto_subscribe_on_create in config.yaml (default True).
Disable to mirror pre-feature behaviour — users who want explicit
kanban_notify-subscribe calls per task can set it to false. This
config gate addresses the design concern that got PR #19718 reverted
upstream (unconditional implicit auto-subscribe on tool-driven
kanban_create was too aggressive for orchestrator users).
HERMES_SESSION_ID is intentionally not a fallback channel — it is
set by ACP/agent subprocess telemetry for every invocation, not just
TUI, so treating it as a notification target would auto-subscribe
every CLI session and re-introduce the over-eager behaviour.
The kanban_create response now includes a 'subscribed' bool so
orchestrators can react if subscription failed (e.g. by falling
back to explicit kanban_notify-subscribe or to polling).
Includes 6 tests covering the gateway / TUI / CLI / partial-context /
gated / add_notify_sub-failure paths. All 90 tests in
test_kanban_tools.py pass; 509 broader kanban tests pass.
The dashboard MCP catalog only showed name/description/transport and a
non-clickable source. Users couldn't see what an entry connects to or runs
before installing — the exact detail the docs trust model tells them to vet.
- /api/mcp/catalog now returns transport target (url, or command+args),
auth_type, git install source/ref + bootstrap commands, default-enabled
tool hint, and post-install guidance per entry.
- McpPage renders the endpoint URL (http) or command+args (stdio), the git
install source/ref, a collapsible bootstrap-commands list, setup notes,
and the source as a clickable link when it's a URL.
- Docs: drop the 'uv pip install -e .[mcp]' quick-start step (Hermes does
not support pip installs; MCP ships with the standard install) and note
the dashboard now surfaces this detail.
- Strengthen the catalog endpoint test to assert the new inspection fields.
Phase 4F (F.1 + F.2 + F.3, agent side). F.4 is the operator-run live smoke
(needs a NAS deployment); recorded in the PR, not code.
F.1 — on_jobs_changed wiring:
- cron/scheduler.py: _notify_provider_jobs_changed() — resolve the active
provider, call on_jobs_changed(), swallow errors. Lives in scheduler.py (not
jobs.py) so the store stays free of provider imports (no import cycle).
- Wired at the consumer surfaces AFTER a successful mutation: the cronjob model
tool (tools/cronjob_tools.py, create/update/remove/pause/resume) — which the
`hermes cron` CLI also routes through — and the REST handlers
(gateway/platforms/api_server.py, same five). Built-in's no-op default = zero
behavior change on the default path. Sleeping-agent direct jobs.json writes
(no tool/CLI/REST) are covered by reconcile-on-wake in start().
F.2 — config: cron.chronos.{portal_url,callback_url,expected_audience,
nas_jwks_url}. All non-secret; the agent holds no scheduler creds and the
outbound provision call reuses the existing Nous token (no token key). Additive
deep-merge key, no version literal.
F.3 — docs:
- docs/chronos-managed-cron-contract.md: authoritative agent↔NAS wire contract
(the three agent-cron endpoints + inbound /api/cron/fire + the 3-hop trust
model + at-most-once/re-arm semantics). This is what the NAS-side agent builds
against.
- cron-internals.md: "Managed cron (Chronos) for scale-to-zero" section.
- cli-commands.md: cron.provider accepts chronos + the cron.chronos.* keys.
- User docs name no scheduler vendor (QStash is a NAS-internal detail).
INVARIANT re-verified: zero qstash/upstash hits across plugins/cron, gateway,
hermes_cli, tools, website/docs (the one remaining repo hit is an unrelated
Context7 MCP comment in tools/mcp_tool.py).
Tests: test_jobs_changed_notify (5) — notify calls provider hook, swallows
errors, built-in harmless, tool create/remove notify. Full cron + chronos +
webhook + config + api_server_jobs suites green (504 in the cron+chronos+webhook
run).
Phase 3.5. cron-internals.md gateway-integration section now describes the
pluggable trigger (resolve_cron_scheduler, built-in default, plugins/cron
discovery, the never-without-a-trigger fallback, and the trigger-vs-execution
split). cli-commands.md notes cron.provider near the hermes cron entry.
* feat(mcp): raise default tool-call timeout 120s -> 300s
Port from openai/codex#28234. Long-running MCP tools (web fetches,
sandboxed builds, deep-research servers) routinely exceed 120s, causing
spurious timeout failures. Codex bumped its default MCP tool timeout from
120 to 300 for the same reason.
- _DEFAULT_TOOL_TIMEOUT 120 -> 300 in tools/mcp_tool.py (per-server
'timeout' config override unchanged)
- update test_default_timeout assertion
- document the default in mcp-config-reference.md
* refactor: remove agent-callable send_message tool
The agent should not decide on its own to fire off cross-platform
messages or reactions. Outbound platform messaging is handled outside
the agent loop — cron delivery, the gateway kanban notifier
(dashboard-toggled), and the `hermes send` CLI.
Removes the model-tool registration only; the send engine in
send_message_tool.py (_send_to_platform, _send_via_adapter,
_parse_target_ref, per-platform _send_* helpers) is kept intact for
those non-agent callers. Drops the now-empty 'messaging' toolset and
its `hermes tools` toggle. Yuanbao DM guidance now points at the
native yb_send_dm tool.
The curator now defaults to prune-only: the deterministic inactivity pass
(mark stale / archive long-unused skills) still runs whenever the curator is
enabled, but the opinionated LLM umbrella-building consolidation fork is OFF
by default.
- agent/curator.py: add DEFAULT_CONSOLIDATE=False + get_consolidate(); gate
the forked aux-model review in run_curator_review behind it (new consolidate
param, None=read config). When off, the LLM pass is skipped entirely (no
aux-model cost); the run is still recorded and reported.
- config.py: add curator.consolidate (default false); v29->v30 migration seeds
the key for existing installs without clobbering a user-set value.
- hermes_cli/curator.py: 'hermes curator run --consolidate' override; status
shows consolidate state; prune-only notice on run.
- docs + tests.
Follow-up to salvaged PR #41633: the timestamp prefix injection was
unconditional. Gate the in-context render behind
gateway.message_timestamps.enabled (default false) at both the live-message
and history-replay sites; timestamp metadata is still captured + persisted
regardless so the toggle can be flipped on later. Add DEFAULT_CONFIG entry,
docs, and gate tests.
Reflect the default-model change in the xAI Grok OAuth guide, the web
search docs (EN + zh-Hans), and the web provider docstring. grok-4.3 is
kept in the model tables as the previous default; the Nous/OpenRouter
aggregator catalog still lists grok-4.3 and is left unchanged.
PROBLEM: Automatic context files such as SOUL.md and AGENTS.md were capped by a hardcoded CONTEXT_FILE_MAX_CHARS value. Amy's local fork had raised that constant from 20K to 25K so a larger SOUL.md would not be silently truncated, but the hardcoded 25K value changed upstream default behavior and made the patch less generally useful.
SOLUTION: Restore the upstream-compatible 20K default, add a context_file_max_chars config setting for users who intentionally keep larger identity/project-context files, keep chat-visible truncation warnings, and document the new setting. Tests cover the default, config override, explicit max_chars precedence, and the warning text.
Z.ai released GLM 5.2 on 2026-06-15, available on OpenRouter:
- https://openrouter.ai/z-ai/glm-5.2
GLM-5.2 is Z.ai's flagship for long-horizon tasks, shipping a 1M-token
context window (up from 200K on GLM 5.1) and tool calling. Per the
OpenRouter API: text-only, context_length 1048576, tools supported.
No separate -fast variant exists.
The 1M context length, native zai picker entry, setup wizard, and Z.ai
coding-plan auth entries for glm-5.2 already landed on main. This fills
the remaining gap: the two aggregator surfaces where glm-5.1 appears but
glm-5.2 did not.
Changes:
hermes_cli/models.py
- Add z-ai/glm-5.2 to the OpenRouter fallback snapshot (OPENROUTER_MODELS)
and the Nous Portal curated list (_PROVIDER_MODELS["nous"]), newest
flagship first. Live catalogs surface it automatically when reachable;
the fallback lists matter when the manifest fetch fails.
website/static/api/model-catalog.json
- Regenerated via scripts/build_model_catalog.py (not hand-edited) so the
manifest stays in sync with the source lists; guarded by
tests/hermes_cli/test_model_catalog.py.
