hermes-agent/tests/agent/test_image_gen_registry.py
Teknium ff9752410a
feat(plugins): pluggable image_gen backends + OpenAI provider (#13799)
* feat(plugins): pluggable image_gen backends + OpenAI provider

Adds a ImageGenProvider ABC so image generation backends register as
bundled plugins under `plugins/image_gen/<name>/`. The plugin scanner
gains three primitives to make this work generically:

- `kind:` manifest field (`standalone` | `backend` | `exclusive`).
  Bundled `kind: backend` plugins auto-load — no `plugins.enabled`
  incantation. User-installed backends stay opt-in.
- Path-derived keys: `plugins/image_gen/openai/` gets key
  `image_gen/openai`, so a future `tts/openai` cannot collide.
- Depth-2 recursion into category namespaces (parent dirs without a
  `plugin.yaml` of their own).

Includes `OpenAIImageGenProvider` as the first consumer (gpt-image-1.5
default, plus gpt-image-1, gpt-image-1-mini, DALL-E 3/2). Base64
responses save to `$HERMES_HOME/cache/images/`; URL responses pass
through.

FAL stays in-tree for this PR — a follow-up ports it into
`plugins/image_gen/fal/` so the in-tree `image_generation_tool.py`
slims down. The dispatch shim in `_handle_image_generate` only fires
when `image_gen.provider` is explicitly set to a non-FAL value, so
existing FAL setups are untouched.

- 41 unit tests (scanner recursion, kind parsing, gate logic,
  registry, OpenAI payload shapes)
- E2E smoke verified: bundled plugin autoloads, registers, and
  `_handle_image_generate` routes to OpenAI when configured

* fix(image_gen/openai): don't send response_format to gpt-image-*

The live API rejects it: 'Unknown parameter: response_format'
(verified 2026-04-21 with gpt-image-1.5). gpt-image-* models return
b64_json unconditionally, so the parameter was both unnecessary and
actively broken.

* feat(image_gen/openai): gpt-image-2 only, drop legacy catalog

gpt-image-2 is the latest/best OpenAI image model (released 2026-04-21)
and there's no reason to expose the older gpt-image-1.5 / gpt-image-1 /
dall-e-3 / dall-e-2 alongside it — slower, lower quality, or awkward
(dall-e-2 squares only). Trim the catalog down to a single model.

Live-verified end-to-end: landscape 1536x1024 render of a Moog-style
synth matches prompt exactly, 2.4MB PNG saved to cache.

* feat(image_gen/openai): expose gpt-image-2 as three quality tiers

Users pick speed/fidelity via the normal model picker instead of a
hidden quality knob. All three tier IDs resolve to the single underlying
gpt-image-2 API model with a different quality parameter:

  gpt-image-2-low     ~15s   fast iteration
  gpt-image-2-medium  ~40s   default
  gpt-image-2-high    ~2min  highest fidelity

Live-measured on OpenAI's API today: 15.4s / 40.8s / 116.9s for the
same 1024x1024 prompt.

Config:
  image_gen.openai.model: gpt-image-2-high
  # or
  image_gen.model: gpt-image-2-low
  # or env var for scripts/tests
  OPENAI_IMAGE_MODEL=gpt-image-2-medium

Live-verified end-to-end with the low tier: 18.8s landscape render of a
golden retriever in wildflowers, vision-confirmed exact match.

* feat(tools_config): plugin image_gen providers inject themselves into picker

'hermes tools' → Image Generation now shows plugin-registered backends
alongside Nous Subscription and FAL.ai without tools_config.py needing
to know about them. OpenAI appears as a third option today; future
backends appear automatically as they're added.

Mechanism:
- ImageGenProvider gains an optional get_setup_schema() hook
  (name, badge, tag, env_vars). Default derived from display_name.
- tools_config._plugin_image_gen_providers() pulls the schemas from
  every registered non-FAL plugin provider.
- _visible_providers() appends those rows when rendering the Image
  Generation category.
- _configure_provider() handles the new image_gen_plugin_name marker:
  writes image_gen.provider and routes to the plugin's list_models()
  catalog for the model picker.
- _toolset_needs_configuration_prompt('image_gen') stops demanding a
  FAL key when any plugin provider reports is_available().

FAL is skipped in the plugin path because it already has hardcoded
TOOL_CATEGORIES rows — when it gets ported to a plugin in a follow-up
PR the hardcoded rows go away and it surfaces through the same path
as OpenAI.

Verified live: picker shows Nous Subscription / FAL.ai / OpenAI.
Picking OpenAI prompts for OPENAI_API_KEY, then shows the
gpt-image-2-low/medium/high model picker sourced from the plugin.

397 tests pass across plugins/, tools_config, registry, and picker.

* fix(image_gen): close final gaps for plugin-backend parity with FAL

Two small places that still hardcoded FAL:

- hermes_cli/setup.py status line: an OpenAI-only setup showed
  'Image Generation: missing FAL_KEY'. Now probes plugin providers
  and reports '(OpenAI)' when one is_available() — or falls back to
  'missing FAL_KEY or OPENAI_API_KEY' if nothing is configured.

- image_generate tool schema description: said 'using FAL.ai, default
  FLUX 2 Klein 9B'. Rewrote provider-neutral — 'backend and model are
  user-configured' — and notes the 'image' field can be a URL or an
  absolute path, which the gateway delivers either way via
  extract_local_files().
2026-04-21 21:30:10 -07:00

111 lines
4.1 KiB
Python

"""Tests for agent/image_gen_registry.py — provider registration & active lookup."""
from __future__ import annotations
import pytest
from agent import image_gen_registry
from agent.image_gen_provider import ImageGenProvider
class _FakeProvider(ImageGenProvider):
def __init__(self, name: str, available: bool = True):
self._name = name
self._available = available
@property
def name(self) -> str:
return self._name
def is_available(self) -> bool:
return self._available
def generate(self, prompt, aspect_ratio="landscape", **kw):
return {"success": True, "image": f"{self._name}://{prompt}"}
@pytest.fixture(autouse=True)
def _reset_registry():
image_gen_registry._reset_for_tests()
yield
image_gen_registry._reset_for_tests()
class TestRegisterProvider:
def test_register_and_lookup(self):
provider = _FakeProvider("fake")
image_gen_registry.register_provider(provider)
assert image_gen_registry.get_provider("fake") is provider
def test_rejects_non_provider(self):
with pytest.raises(TypeError):
image_gen_registry.register_provider("not a provider") # type: ignore[arg-type]
def test_rejects_empty_name(self):
class Empty(ImageGenProvider):
@property
def name(self) -> str:
return ""
def generate(self, prompt, aspect_ratio="landscape", **kw):
return {}
with pytest.raises(ValueError):
image_gen_registry.register_provider(Empty())
def test_reregister_overwrites(self):
a = _FakeProvider("same")
b = _FakeProvider("same")
image_gen_registry.register_provider(a)
image_gen_registry.register_provider(b)
assert image_gen_registry.get_provider("same") is b
def test_list_is_sorted(self):
image_gen_registry.register_provider(_FakeProvider("zeta"))
image_gen_registry.register_provider(_FakeProvider("alpha"))
names = [p.name for p in image_gen_registry.list_providers()]
assert names == ["alpha", "zeta"]
class TestGetActiveProvider:
def test_single_provider_autoresolves(self, tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
image_gen_registry.register_provider(_FakeProvider("solo"))
active = image_gen_registry.get_active_provider()
assert active is not None and active.name == "solo"
def test_fal_preferred_on_multi_without_config(self, tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
image_gen_registry.register_provider(_FakeProvider("fal"))
image_gen_registry.register_provider(_FakeProvider("openai"))
active = image_gen_registry.get_active_provider()
assert active is not None and active.name == "fal"
def test_explicit_config_wins(self, tmp_path, monkeypatch):
import yaml
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
(tmp_path / "config.yaml").write_text(
yaml.safe_dump({"image_gen": {"provider": "openai"}})
)
image_gen_registry.register_provider(_FakeProvider("fal"))
image_gen_registry.register_provider(_FakeProvider("openai"))
active = image_gen_registry.get_active_provider()
assert active is not None and active.name == "openai"
def test_missing_configured_provider_falls_back(self, tmp_path, monkeypatch):
import yaml
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
(tmp_path / "config.yaml").write_text(
yaml.safe_dump({"image_gen": {"provider": "replicate"}})
)
# Only FAL is registered — configured provider doesn't exist
image_gen_registry.register_provider(_FakeProvider("fal"))
active = image_gen_registry.get_active_provider()
# Falls back to FAL preference (legacy default) rather than None
assert active is not None and active.name == "fal"
def test_none_when_empty(self, tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
assert image_gen_registry.get_active_provider() is None