Every PLUGIN-COMPAT __getattr__ now calls hermes_cli.plugin_compat.warn_once(facade, name, target) before
resolving, emitting a HermesPluginCompatWarning (FutureWarning) once per process per name: old path, new
path, removal target. Importing a facade for its live API stays silent; only resolving a moved name warns.
COMPAT_MANIFEST.md documents the warning and how to silence it during migration.
Verified the runtime never routes through a pointer: every entry point (run_agent, cli, hermes_cli.main,
gateway.run, tui_gateway.server, web_server, model_tools + tool discovery, hermes_state, cron.scheduler,
browser_tool, mcp_tool, kanban, auth) imports clean and `hermes doctor` runs end to end with the warning
promoted to an error.
Also restores the check_compat_pointers CI step to .github/workflows/lint.yml, which a0be177aac dropped
when the compat layer was regenerated (the lint script itself was present; the workflow step was not).
hermes_cli/plugin_compat.py, tests/test_plugin_compat_warning.py and the two-line insert per facade are
part of the compat layer and go away with it.
The Sep 2026 decomposition (PR #102117) makes internal import paths a non-API: names now live in
the focused modules that define them. This commit is the ONLY thing keeping the old paths alive,
so external plugins have time to update. It is deliberately a single, unsquashed commit:
git revert <this sha>
removes every shim, stub and manifest at once on the announced date. Nothing in-tree may depend on
these pointers: scripts/check_compat_pointers.py (wired into lint.yml) fails CI if it does.
What it adds (see COMPAT_MANIFEST.md, compat_manifest.json):
- 332 facade modules get one delimited `PLUGIN-COMPAT` block appended at the end of the file
- 1,172 moved names resolved lazily via a module `__getattr__` (PEP 562) — never a top-level import,
so no import cycles; facades that already had `__getattr__` get a chained one
- 592 third-party/stdlib names the old modules used to expose, with their original import statements
- 266 public definitions that had been deleted as unused, restored byte-for-byte from the pre-decomposition
tree (+40 private helpers and 16 imports pulled in only because a restored definition needs them)
- 3 deleted modules recreated as re-export stubs (gateway/startup_watchdog, hermes_cli/observability/
relay_runtime, tools/environments/modal_utils)
- private names (`_x`) get no pointer: they were never API (3,792 skipped)
Verified: all 335 touched modules import under a fresh HERMES_HOME and every manifest name resolves;
the lint reports zero in-tree uses; ruff clean; targeted suites unchanged.
For each issue anchor present in BASE 63279301bc non-test .py and absent on HEAD, the BASE comment/docstring block was re-attached at the HEAD location of the code it explained (matched by the distinctive code line / enclosing def). Sentences already covered by an existing HEAD comment were deduped; the issue number always survives. Insert-only: no code lines changed.
Add read_selection()/selection_exists()/selection_error() to
tool_backend_helpers: one provider string per category ('nous' = managed
Nous Tool Gateway, vendor name = direct with the user's own credentials,
no key ever written = legacy credential autodetect). Legacy configs are
interpreted at read time only (use_gateway: true => nous); nothing is
migrated on disk, and the DEFAULT_CONFIG-seeded stt.provider: local is
treated as never-configured.
_resolve_managed_fal_gateway / _resolve_managed_fal_video_gateway now
switch on that string: 'nous' routes managed only (unentitled => error
naming the selection), a stored vendor routes direct only (missing
FAL_KEY => error naming FAL_KEY and the selection, no silent managed
reroute), and FAL_KEY presence no longer selects the route. Krea's
model-driven managed interception now requires no stored provider (or
the managed selection) instead of merely provider != krea, and the
image/video registries map the 'nous' selection to the FAL plugin.
The Aug 8 default-on upscaling policy (66ea4e686) chained the Clarity
Upscaler after every sub-2MP generation. Clarity is an SD1.5 creative
tile-diffusion enhancer (creativity 0.35, "masterpiece" prompt prefix) —
it redraws content, which degraded output on 100% of generations for
models like GPT Image 2 and Ideogram whose value is precise text
rendering, CJK, and photorealistic detail.
Policy now: no model upscales by default, on FAL or Krea. The `upscale`
tool param remains as a per-call opt-in (`upscale: true`); explicit
requests still chain Clarity (FAL) / Krea Enhance as before.
- FAL catalog: all 17 default-on entries flipped to upscale=False
- Krea plugin: medium + medium-turbo per-model defaults flipped off
- Tool schema: upscale param described as opt-in with a fidelity warning
- Tests updated: catalog invariant now pins all-off; default-on cases
now assert no upscaler call
- Docs (en + zh) updated to the opt-in policy
Per review: upscaling should be the default behavior (like the original
flux-2-pro chain), not agent opt-in. Policy: every image model whose
native output is below ~2MP now sets upscale=True in its catalog —
users never silently get low-res images. Native hi-res models
(Seedream 5 Pro/Lite, Krea 2 Large) stay off to avoid paying to
upscale already-large output.
- FAL catalog: 16 models flipped to upscale=True (klein, z-image,
nano-banana pro/2/2-lite, gpt-image 1.5/2, ideogram v3/v4, recraft
v4/v4.1, qwen image/3, krea-2 medium on FAL, MAI 2.5 pro).
- Krea plugin: per-model upscale defaults (medium + medium-turbo ON at
1.5K native; large OFF at 2K native), precedence explicit kwarg >
image_gen.krea.upscale config > catalog default.
- The 'upscale' tool param remains as a per-call override in both
directions (false = fast draft, true = force on hi-res/edits).
- Video unchanged: opt-in only (default-on would double every video's
cost and latency).
- Sibling tests updated: routing/payload tests pass upscale=False where
the assertion targets the generation submit; catalog test now pins
the native-resolution policy instead of the flux-2-pro snapshot.
The generated-media surface previously had almost no upscaler coverage:
only fal-ai/flux-2-pro chained Clarity Upscaler (hardcoded catalog
default), every other image model returned ~1MP output with no high-res
path, and video had no upscaler at all. Krea's API treats the enhancer
as a standard second pass; this brings the same shape to Hermes.
- image_generate: new optional 'upscale' boolean in the tool schema.
Explicit true chains the backend upscaler on ANY model (including
edits); explicit false disables flux-2-pro's automatic default;
omitted keeps per-model catalog behavior. Response now reports
'upscaled' so the agent knows which resolution it got.
- FAL image path: explicit flag overrides the catalog 'upscale' default
(Clarity Upscaler, 2x). Failure falls back to the native image.
- Krea plugin: upscale=true chains Krea Enhance
(/generate/enhance/krea/enhance, 2x, prompt-guided) through the same
BYO/managed base URL + auth as generation, with a best-effort poll
loop that never fails a successful generation.
- video_generate: new optional 'upscale' boolean; FAL video plugin
chains ByteDance SeedVR2 (fal-ai/seedvr/upscale/video, 2x factor
mode). Providers without upscalers ignore the kwarg per the ABC
contract (documented in both ABCs).
Validation: targeted suites green (123 tests across 6 files, including
new coverage for override-wins/default-kept/failure-fallback on all
three paths); live E2E on direct FAL verified both chains end-to-end
(klein 9b + Clarity upscaled image; pixverse-v6 1s 360p + SeedVR2
upscaled video).
OPENAI_API_KEY, DEEPINFRA_API_KEY and KREA_API_KEY now resolve via get_secret; the OpenAI client is constructed with the scoped key explicitly instead of relying on the SDK's implicit environ read.
* 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.
* feat(image_gen): add Krea provider plugin (Krea 2 Medium + Large)
New built-in image_gen backend wrapping Krea's Krea 2 foundation
image model family. Auto-discovered like the other image_gen plugins
and appears in 'hermes tools' → Image Generation → Krea.
Krea's API is asynchronous — submit returns a job_id, poll /jobs/{id}
until terminal. The provider hides that behind the synchronous
ImageGenProvider.generate() contract: submit, poll every 2s with
light backoff (max 5s), 3-minute ceiling matching Krea's hosted-tool
timeout. Result URL is materialised to $HERMES_HOME/cache/images/
to avoid CDN-expiry 404s downstream (same fix as xAI #26942).
Models:
- krea-2-medium (default — Krea's 'start here' recommendation)
- krea-2-large
Aspect ratios map landscape→16:9, square→1:1, portrait→9:16.
Resolution: 1K (Krea's only current option).
Kwarg passthrough: seed, creativity (raw/low/medium/high), styles,
image_style_references (capped 10), moodboards (capped 1) — matches
Krea's per-request limits. Unknown kwargs are ignored.
Config knobs (config.yaml):
image_gen.provider: krea
image_gen.krea.model: krea-2-medium | krea-2-large
image_gen.krea.creativity: raw | low | medium | high
Env overrides: KREA_API_KEY (required), KREA_IMAGE_MODEL.
KREA_API_KEY is registered in OPTIONAL_ENV_VARS so 'hermes setup'
prompts for it.
31 new tests; image_gen suite + picker + tools_config: 211/211.
* fix(image_gen/krea): address review feedback
- Update KREA_API_KEY setup URL to the canonical token-creation page
(https://www.krea.ai/app/api/tokens). The previous URL returned 404.
- Fail fast on non-retryable HTTP statuses during poll. The previous
loop retried every HTTPError for the full 180s deadline, so an auth
(401), billing (402), forbidden (403), or not-found (404) response
would make image_generate hang for three minutes. Only retry
transient statuses (408/409/425/429/5xx); surface everything else
immediately.
- Add 5 tests covering fail-fast on 401/403/404 and retry on 429/503.
* fix(krea): point users at the real API token dashboard URL
Three call sites linked users to dashboard pages that don't exist:
- hermes_cli/config.py: https://www.krea.ai/app/api/tokens
- plugins/image_gen/krea/__init__.py get_setup_schema: https://www.krea.ai/api-keys
- plugins/image_gen/krea/__init__.py auth_required error: https://www.krea.ai/api-keys
Per Krea's own docs (https://docs.krea.ai/developers/api-keys-and-billing),
the real dashboard URL is https://www.krea.ai/settings/api-tokens. All three
sites now point there.
Teknium