Ramp Router efforts cache + warm/disk flags, xAI and OpenRouter image catalogs,
Hindsight append-capability verdict, memory-provider skill registry, OpenViking
atexit provider, Honcho loopback flow status, Langfuse client (os.environ-only
credentials) and disk-cleanup's protected cron paths held one profile's
credential- or home-derived value process-wide; YuanbaoAdapter._active_instance
was last-connected-wins across profiles.
Keyed by home key / credential fingerprint under an override, credentials read
through the secret scope, warm threads run under copy_context(); unscoped module
slots stay for the single-profile path and the existing monkeypatch tests.
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.
test_every_intree_plugin_declares_what_it_implements detects upscale support via the literal
'"upscale",' whitelist entry; the r3 tuple collapse turned it into '"upscale")'. Tool schema
(get_tool_definitions dump) is byte-identical to base 113f04616b before and after.
- generate() now passes kwargs.get("model") into _resolve_model(), so the
user's hermes tools pick (forwarded by the dispatcher as top-level
image_gen.model) is honored instead of silently dropped (#55893 class;
matches xai/krea/openrouter).
- Setup schema badge "internal" -> "paid" to match every other paid
image backend in the hermes tools picker.
- Tests: caller-model precedence, unknown caller model falls through,
model kwarg reaches the API payload, badge contract.
Adds a bundled image-generation backend for the Meta Model API
(https://api.meta.ai/v1), which is OpenAI-compatible. Exposes the
muse-image-1.0 model via the standard image_generate tool. This is the
image-gen companion to the already-bundled meta-ai chat provider
(plugins/model-providers/meta-ai, PR #88565).
- plugins/image_gen/meta-ai/ — provider registered as `meta-ai`, matching
the chat provider's id. Reuses the openai SDK pointed at Meta's base URL.
- Auth mirrors the chat provider: MODEL_API_KEY (Meta's documented var),
with META_API_KEY / META_MODEL_API_KEY aliases and a META_BASE_URL
override.
- Text-to-image only for now (capabilities gated); base64 (WebP) and URL
responses both handled and saved under $HERMES_HOME/cache/images/.
- Auto-loads as `kind: backend` and appears in `hermes tools` with no
central list edits, matching the other bundled providers.
- tests/plugins/image_gen/test_meta_ai_provider.py — 27 tests (metadata,
auth-alias resolution, base-url override, model resolution, generate
paths incl. b64 save, aspect mapping, URL caching, error handling).
- docs: image-generation feature page + provider-plugin built-in list.
Codex Responses streams can emit partial_image_b64 previews without a final
image_generation_call.result. The provider treated any b64 as success and could
let a partial overwrite a coexisting final in the same payload, delivering
smeared intermediates as finished GPT Image 2 outputs.
Request partial_images=0, prefer final over partial in extraction, fail closed
(with one content-agnostic retry) unless source=final, and surface image_source
plus pixel_size for QA.
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.
Follow-ups on top of the salvaged #82631 surface:
- _select_surface: an unknown model id found in the live /images/models
catalog now ROUTES to the dedicated Image API instead of only logging a
hint — without this, a model picked from the live picker that postdates
the curated snapshot would fall onto chat-completions and fail. Curated
defaults stay pinned to chat (no behaviour change for existing setups);
offline probes still fall back to chat. _HINTED_MODELS removed.
- list_models (OpenRouter): union of the live GET /images/models catalog
(43 models today) and the chat-completions image models, deduped,
defaults first; curated metadata wins for known ids, API names for the
rest. Nous Portal (no /images route) keeps its chat-only catalog.
Offline fallback: static chain + curated Image API snapshot.
- Tests updated/added: unknown-id routing (flipped from the hint-only
pinning test), non-catalog id stays on chat, merged-picker union/dedupe/
order, Nous exclusion.
- Docs: image-generation.md gains the OpenRouter Image API section and an
editing-support row.
Live-verified: picker lists 43 models; generation succeeded through the
dedicated API on google/gemini-3.1-flash-lite-image and on the previously
unreachable black-forest-labs/flux.2-klein-4b (config-selected, no kwarg).
- plugins/image_gen/openrouter: list_models() now queries the endpoint's
/models catalog filtered to output_modalities containing "image"
(per-backend 5-min cache, 10s timeout, static 2-model chain as offline
fallback; openrouter/auto* router pseudo-models excluded). Every image
model OpenRouter serves — including future releases — is selectable in
`hermes tools` with no code change. Applies to Nous Portal too via the
shared provider class.
- plugins/image_gen/xai: forward the dispatched model kwarg into
_resolve_edit_model() so an explicitly selected edit-capable model is
honored on /images/edits (extends the salvaged #55893 fix to the edit
path; text-only models still fall back to quality).
- Tests: OpenRouter live-catalog filtering/exclusions/order, offline
fallback, cache single-fetch; xAI edit-kwarg forwarding incl. the
text-only-hijack negative case.
Live-verified against openrouter.ai: 9 image-output models returned and
rendered, matching the public models?output_modalities=image listing.
- plugins/image_gen/xai: merge the live /v1/image-generation-models catalog
(5-min cache, 10s timeout, static-table fallback when offline/unauth)
into the picker so new xAI Imagine models appear automatically the day
they launch, with generic metadata until curated text is added.
- Add grok-imagine-image-2.0 to the curated static table (typography/
layout-aware model, API-available since Aug 8 2026).
- Edits honor an explicitly selected image-input-capable model
(e.g. grok-imagine-image-2.0) instead of always forcing
grok-imagine-image-quality; quality remains the default edit baseline.
- Tests: hermetic autouse fixture keeps unit runs offline; new coverage
for live-merge, unknown-future-model selection, offline fallback, and
edit-model resolution. Docs model table updated (en + zh-Hans).
Live-verified: /image-generation-models returns grok-imagine-image,
grok-imagine-image-2.0, grok-imagine-image-quality; real generation with
2.0 succeeded end to end.
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.
The Codex image backend rejected our own request shape for every account, and
we then translated that rejection into "Image generation is not enabled for the
current Codex account. Switch the image provider to OpenAI API key, FAL, or
xAI." — telling every affected user to abandon a provider that had never
actually been tried. That message is why this reads as a setup failure rather
than a bug: the wire error was replaced with a confident, wrong diagnosis.
Removes the classifier and its exception, so any HTTP failure surfaces
verbatim. The paired request-shape fix (previous commit) is what makes the
400 stop happening; this commit makes the next one diagnosable.
Also fixes error-body truncation: bodies were head-truncated at 500 chars, and
Codex error payloads can carry hundreds of bytes of leading metadata, so the
user got a wall of padding and no message. _summarize_error_body() prefers the
parsed error.message and falls back to a truncated raw body.
Docs: drop the unqualified image-to-image claim for the Codex backend and note
that the hosted tool call cannot be forced, so it is best-effort.
Verified E2E against a local fake Codex backend: success path writes a real PNG
with no tool_choice on the wire; the 400 path now returns api_error carrying
"Tool choice 'image_generation' not found in 'tools' parameter" (148 chars)
instead of the entitlement message. Sabotage run confirms all 4 regression
tests fail when the old behavior is restored.
Refs #19505, #49008, #31335.
The chatgpt.com/backend-api/codex backend 400s on every tool_choice
shape for the hosted image_generation tool — it looks up tool_choice as
a function name and never recognizes hosted-tool entries. Removing the
field from _build_responses_payload() lets the host model decide; the
instructions field nudges it toward the tool.
Salvaged from PR #19979 (originally targeted the old
client.responses.stream call, which no longer exists on upstream/main;
the live request now flows through _build_responses_payload + httpx in
_collect_image_b64).
