managed_image_partner inlined the dispatcher's strip-or-None reading of
image_gen.provider/model; managed_route now normalises raw values itself,
so both callers pass config values straight through and cannot drift.
_managed_model_plugin's docstring points at managed_route instead of
restating the rule, and NOUS_MANAGED_PROVIDER is a top-level import (no
cycle). A Krea style reference that disappears between is_file() and open()
now returns invalid_image_url instead of raising. Test comment corrected:
only managed-model routing ignores legacy use_gateway.
The routing rule (direct vendor -> none; Krea id -> Krea; Portal id -> Portal
only under an explicit `nous`, else FAL) lived in _managed_model_plugin and
was copied into managed_image_partner, where it read the provider through
_selected_provider: lowercased and legacy use_gateway: true counted as
`nous`. The dispatcher does neither, so e.g. use_gateway + a Portal id was
labelled "Nous Portal" while generating on FAL. Both now call
tools.image_generation_managed.managed_route() with the stored values read
the same way. Dispatch behaviour is unchanged.
The salvaged handler forwarded creativity/intensity/complexity/movement to
whichever route ran, declared or not. A model that copies slider values
from earlier turns after the backend changed would hand them to a
third-party generate() without **kwargs, which raises TypeError and fails
a plain text-to-image call that works today. Both plugin routes now keep
only the names in the provider's capabilities()["creative_controls"].
Tests: the dispatch test now declares one control and asserts the
undeclared one is dropped; the two schema tests become one relationship
test (the schema renders exactly what the Krea plugin declares, FAL renders
none) instead of pinning the enum and bounds.
* refactor(plugins): remove the Sep 2026 decomposition compat layer on schedule
The PLUGIN-COMPAT layer (2776813df3 + d63e380324 + 0a5164cebe) kept pre-#102117 import paths
alive for external plugins until 2026-09-14. That window closed two weeks ago; since then the loader
has already been skipping plugins that use the old paths. This removes the layer itself:
- 328 appended `PLUGIN-COMPAT` blocks (lazy `__getattr__` pointer tables, re-exported third-party
names, restored dead definitions) and the three re-export stub modules
(gateway/startup_watchdog, hermes_cli/observability/relay_runtime, tools/environments/modal_utils)
- COMPAT_MANIFEST.md, compat_manifest.json, scripts/check_compat_pointers.py and its lint step
- the reporting surfaces: CLI banner notice, `hermes plugins compat`, the `hermes doctor` section,
the post-update notice, the Desktop one-time dialog, the loader's pre-import skip and the
`plugins.allow_deprecated_imports` escape hatch
An external plugin that still imports an old path now fails to load with its ImportError as the
reason in `hermes plugins list`, the same path as any broken plugin.
hermes_cli/plugin_compat.py stays as three inert stubs (compat_report, removal_in_effect,
summary_lines): an already-running pre-removal `hermes update` lazy-imports them after the checkout
swap (tests/compat/old_updater_surface.json).
In-tree fallout, both already dead: hermes_cli/setup.py::_check_espeak_ng (no callers; its
`shutil` came from a compat block) and gateway/config.py::SessionResetPolicy ("retained solely for
the scheduled plugin-compat window"). Two test_run_agent patches targeted the removed
`run_agent.handle_function_call` pointer; they now patch `model_tools.handle_function_call`, the
seam production reads, like every sibling test in that file.
* chore: retrigger CI (zero-job startup_failure phantom)
* test: drop resolution allowlist rows for the two deleted which() sites
hermes_cli/setup.py::_check_espeak_ng (dead) and tools/skillevaluator_scan.py::scanner_available
(a restored definition inside a PLUGIN-COMPAT block) no longer exist; the stale-row gate requires
their allowlist entries go with them.
`_submit_fal_request` (image) and `_submit_fal_video_request` (video plugin)
translated every managed-gateway 4xx into "This model may not yet be enabled
on the Nous Portal's FAL proxy — set FAL_KEY or pick a different model". For
HTTP 429 that remediation is wrong: the gateway body is RATE_LIMIT_EXCEEDED
with a retryAfter, the model is enabled, and agents reading the message
switched models or gave up. On one real install this fired 260 times in a
week (17% of image_generate calls).
Both surfaces now submit through one shared helper
(tools/fal_common.py::submit_managed_fal_with_rate_limit_retry): a 429 whose
Retry-After (header, else body error.retryAfter) fits a 30s cap is waited out
in interrupt-aware 0.5s slices and resubmitted once under a fresh
x-idempotency-key; a second 429, or an unknown/too-long Retry-After, raises
a ValueError that names the rate limit and tells the agent to retry later
rather than switch models. 429 can no longer reach the "may not yet be
enabled" text.
`image_gen.provider: nous` fronts three gateways; the stored model id now says which
one serves a request (tools/image_generation_managed.py): FAL catalog ids → FAL gateway,
Krea plugin ids → Krea gateway, anything else → the Nous Portal image plugin. Before,
a Portal model id under the managed selection fell through to FAL, which warned about
an unknown model and billed a FLUX default instead.
The same module builds the managed row's union catalog with each model listed once
(FAL wins identical/cross-id duplicates; Krea 2 appears natively, never as the FAL or
Portal copy), so the picker and the runtime agree on one mapping.
Adds fal-ai/kling-image/v3/text-to-image ($0.028/img, native 2K default,
8 aspect ratios) with its image-to-image edit endpoint. The i2i schema
takes a SINGULAR `image_url` string instead of the usual `image_urls`
list, so the catalog gains an `edit_image_param` knob that
_build_fal_edit_payload honors (first source image only); the
edit-contract test now validates whichever image key the entry declares.
check_vision_requirements (and five siblings: browser_vision, image/video
generation, x_search, browser_vault) wrapped their whole probe in
`except Exception: return False`. The registry then logged "returned False",
indistinguishable from an unconfigured backend, and the only diagnostic for a
crashed resolver was gone (#87950: named custom provider lookup failing in a
long-lived multi-profile process, reported as vision tools silently vanishing).
The registry owns the verdict: _run_check_fn_uncached and _check_fn_cached both
catch, log with traceback, and return False. Let the exception reach them.
Behaviour for the model is unchanged (tool hidden either way); agent.log now
says why.
Under gateway.multiplex_profiles a secondary profile's turn ran with the LAUNCH
profile's working directory, command allowlist, redact_secrets switch, credential
file mounts, browser engine/headed flags, LSP service, auxiliary-provider health
marks and MCP stderr log, and several TERMINAL_ENV consumers read the process env
instead of the routed profile's terminal scope. A standalone `hermes -p X gateway
run` never behaved that way.
- tools/terminal_scope.py: resolve the terminal.cwd placeholder inside the
profile scope with the same rule gateway/run.py applies at import (local ->
$HOME, sandbox default otherwise) so the system prompt, context files and the
terminal of a routed turn start where the profile's standalone gateway would.
- tools/image_source.py, credential_files.py, image_generation_tool.py,
skills_tool.py, delegate_tool_progress.py, agent/tool_executor.py: read
TERMINAL_ENV / TERMINAL_CWD through the terminal scope.
- tools/approval.py (+ approval_floors.py): one permanent allowlist per routed
profile home; the unscoped module set stays for single-profile processes.
- agent/redact.py: `_redact_enabled()` resolves security.redact_secrets for the
routed profile (scope .env, then config); launch snapshot kept when unscoped.
- tools/credential_files.py, agent/auxiliary_health.py, agent/lsp/__init__.py,
tools/browser_tool_cloud.py, tools/mcp_tool_config.py,
tools/tool_result_storage.py: key process caches by profile home (or bypass
the slot under an override).
Tests: tests/tools/test_multiplex_turn_parity.py (4, red on base).
Docs: multi-profile-gateways.md isolation table.
Image and video callers were each formatting the same four-field dict into
the same sentence. Return the rendered tail from _managed_fal_billing_error
so the wording lives in one place; output is byte-identical.
Avoid retrying idempotent managed FAL submissions because the retry can mask the initial billing failure. Surface structured Nous billing diagnostics consistently for image and video paths, with hermetic regression coverage.
(cherry picked from commit 289ce039e9a522dc8016ae4a512214c05d0a8bc0)
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.
ceabb030f added the Grok Imagine Image 2.0 catalog entry with upscale=True,
violating the Aug 2026 opt-in-only upscaling policy (f06c41522) and breaking
test_upscale_defaults_are_all_off on main, which reddened every PR's slice
12/12.
The sequential tool path only noticed a user interrupt after the running
tool returned: with the deadline disabled it ran the tool inline (fully
blocking), and with a deadline it waited in 5s slices without ever
checking agent._interrupt_requested. Any tool without cooperative
is_interrupted() polling (image_generate, tts, transcription, skills
sync, ...) held the whole turn hostage — the reported symptom was a
redirect queued ~40s behind a FAL image generation + upscale pass.
Executor backstop (class fix, covers ALL tools):
- _run_sequential_tool_execution_middleware always dispatches on the
daemon worker (timeout None no longer means inline blocking) and polls
the interrupt flag every 1s.
- On interrupt: 3s cooperative grace (mirrors the concurrent path), then
synthesize a cancelled tool result (_ToolCancelledResult), emit the
terminal post_tool_call with status=cancelled, and abandon the worker.
- _ToolCancelledResult suppresses downstream post-hook double emission
exactly like _ToolTimeoutResult, so an abandoned worker finishing late
cannot report success for a cancelled call.
- clarify (interactive, _NEVER_PARALLEL_TOOLS) keeps the inline path —
it owns its own human wait.
Cooperative layer in the reported offender:
- image_generation_tool: blind handler.get() (generation + Clarity
upscale) replaced with _wait_fal_result(), which polls is_interrupted()
in 0.5s slices and raises ImageGenerationInterrupted immediately.
- _upscale_image propagates the interrupt instead of swallowing it into
the "upscale failed, use original" fallback.
Message alternation is preserved: the cancelled result is a normal tool
result for the call_id. Sabotage-verified: with the old wait loop
restored, the new tests fail (tool blocks full runtime); with the fix
they pass in ~4s.
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).
Video (plugins/video_gen/fal): Seedance 2.5, MiniMax H3, Seedance 2.0
Mini, FLUX 3, Grok Imagine 1.5, Gemini Omni Flash (i2v-only). New
family capability flags:
- duration_int: endpoints that take duration as a JSON integer
- resolution_aliases: maps 720p/1080p-style values onto non-standard
enums (H3's 768P/2K/4K)
- image_drop_keys: strips keys the family's i2v endpoint rejects
(aspect_ratio on Seedance 2.5 / H3 / Grok 1.5)
Image (tools/image_generation_tool): Seedream 5.0 Pro (+edit) and
Lite, Ideogram V4 instant + fast, Qwen Image 3 (+edit), MAI Image 2.5
Pro, Nano Banana 2 Lite (+edit), Recraft V4.1.
Every new endpoint live-tested against fal.run through the real
payload builders + submit path: 18/18 pass (t2v, i2v, t2i, and edit
probes). Note: several new endpoints return HTTP 409 from the Nous
Portal FAL proxy allowlist until it is updated portal-side; BYOK
FAL_KEY works today and the existing 4xx guidance message covers it.
image_generate and video_generate forwarded model-supplied local paths to
provider plugins, which read them off the HOST filesystem regardless of
terminal backend — inconsistent with the confinement boundary vision/video
analysis enforce (GHSA-gpxw-6wxv-w3qq), and broken for sandbox-only files.
New dispatch-layer chokepoint (_confine_source_images): under a non-local
backend, path-like image_url / reference_image_urls resolve through
tools.image_source (media-cache host reads, bounded in-sandbox exec-read,
lazy env bring-up, credential guard, 50MB cap) and reach every provider as
data: URLs — which all backends already accept. URLs/data: pass through;
local backend is a no-op. xai_video_edit/extend already require public
HTTPS URLs, so no change needed there.
* chore: re-trigger CI (workflows did not dispatch on prior head)
* fix(image/video gen): make schema delivery instruction platform-neutral
The image_generate and video_generate tool schema descriptions hardcoded
a gateway-only delivery instruction ('display it with markdown
 and the gateway will deliver it'). That schema
is sent on every platform, so on CLI it directly contradicted the CLI
platform hint ('Do NOT emit MEDIA:/path tags ... state its absolute path
in plain text'), and on messaging platforms it was also wrong about the
mechanism (local file paths are delivered via MEDIA: tags, not markdown
image syntax — markdown ![]() only works for URLs).
The per-platform file-delivery convention is already owned correctly by
the platform hints in prompt_builder.py. The tool schema now just
describes the result shape (URL or absolute path in the image/video field)
and defers 'how to deliver' to the active platform's guidance.
Provider/model injection already works via _build_dynamic_image_schema()
(the 'Active backend: <provider> · model: <model>' line); no change there.
_build_fal_payload and _build_fal_edit_payload assemble the request and then
filter it down to the model's supports / edit_supports whitelist. That filter
also covers prompt (and image_urls for edits), which every FAL endpoint
requires. Today all model configs happen to list those keys, but a single
config that omits one would silently produce a request with no prompt or no
source images — a broken generation with no error.
Always keep the mandatory keys regardless of the whitelist so a missing
whitelist entry can only drop optional knobs, never the prompt or the images.
* 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.
Follow-up on the backend-visible artifact-path fix.
- Extract the cache-mount iteration loop into a reusable, backend-agnostic
credential_files.map_cache_path_to_container(host_path, container_base) that
returns the POSIX container path or None. to_agent_visible_cache_path() now
delegates to it (keeping its Docker-only gate), and image_generation_tool's
_agent_visible_cache_path() delegates to it too — eliminating the duplicated
loop and the divergent path-join (posixpath vs Path) between the two.
- Drop the now-unused posixpath/Path imports from image_generation_tool.py.
- Document the agent_visible_cache_base getattr probe as a forward-looking
optional hook (no producer yet) so it doesn't read as a typo'd attribute.
- Add unit tests for map_cache_path_to_container.
fal announced Krea 2 day-0 as an official API partner on 2026-05-27.
Add both variants to the FAL_MODELS catalog so they appear in the
'hermes tools' model picker alongside flux-2, gpt-image, nano-banana,
etc. Users who already bill through FAL or Nous Portal subscription
can now use Krea without registering directly with Krea.
Model IDs (as listed in fal's launch announcement):
fal-ai/krea/v2/medium/text-to-image — $0.030 / image
fal-ai/krea/v2/large/text-to-image — $0.060 / image
Both share the same parameter schema:
- aspect_ratio (1:1, 4:3, 3:2, 16:9, 2.35:1, 4:5, 2:3, 9:16)
mapped from our 3 abstract ratios via size_style='aspect_ratio'
- creativity (raw|low|medium|high; default medium)
- seed (reproducibility)
- image_style_references (up to 10 per Krea's API spec)
No num_inference_steps / guidance_scale / num_images — Krea 2 does
not expose those, and the supports-set filter strips them defensively
if the agent ever passes them.
This is the FAL-routed variant. The separate native-Krea-API plugin
shipped in PR #33236 (plugins/image_gen/krea/) remains available for
users who want to bill directly through Krea's API with their own
key. Both routes converge on the same underlying model.
Nous Portal managed-FAL gateway: this commit makes the model IDs
known to the catalog and the picker. The Portal team will need to
allowlist these two endpoint slugs on the fal-queue origin server-side
for them to flow through the managed billing path.
