Merge remote-tracking branch 'origin/main' into codex/repair-pr-457

tests/tools/test_3d_asset_generation.py

@@ -0,0 +1,158 @@
+"""Contracts for cloud mesh generation and Blender world rendering."""
+
+from __future__ import annotations
+
+import json
+import subprocess
+from pathlib import Path
+
+import jsonschema
+
+from tools.base_tool import ToolStatus
+from tools.graphics import atlas_3d, fal_3d
+from tools.graphics.atlas_3d import Atlas3D
+from tools.graphics import blender_world
+from tools.graphics.blender_world import BlenderWorld, first_missing_frame
+from tools.graphics.fal_3d import Fal3D
+from tools.tool_registry import ToolRegistry
+
+
+class _Response:
+    def __init__(self, payload=None, content=b""):
+        self._payload = payload
+        self.content = content
+
+    def json(self):
+        return self._payload
+
+    def raise_for_status(self):
+        return None
+
+
+def test_registry_discovers_separate_3d_capabilities():
+    registry = ToolRegistry()
+    registry.discover("tools")
+    assert {tool.name for tool in registry.get_by_capability("3d_asset_generation")} >= {
+        "atlas_3d", "fal_3d"
+    }
+    assert {tool.name for tool in registry.get_by_capability("3d_world_rendering")} >= {
+        "blender_world"
+    }
+
+
+def test_atlas_cost_matrix_and_missing_key(monkeypatch, tmp_path):
+    for key in ("ATLASCLOUD_API_KEY", "ATLAS_CLOUD_API_KEY", "ATLAS_API_KEY"):
+        monkeypatch.delenv(key, raising=False)
+    tool = Atlas3D()
+    assert tool.get_status() == ToolStatus.UNAVAILABLE
+    assert tool.estimate_cost({"texture": False}) == 0.22
+    assert tool.estimate_cost({"texture": True, "texture_quality": "standard"}) == 0.33
+    assert tool.estimate_cost({"texture": True, "texture_quality": "detailed", "geometry_quality": "detailed"}) == 0.66
+    result = tool.execute({"prompt": "a cottage", "output_path": str(tmp_path / "cottage.glb")})
+    assert not result.success
+    assert "key" in (result.error or "").lower()
+
+
+def test_fal_cost_matrix_and_input_validation(monkeypatch, tmp_path):
+    monkeypatch.delenv("FAL_KEY", raising=False)
+    monkeypatch.delenv("FAL_AI_API_KEY", raising=False)
+    tool = Fal3D()
+    assert tool.estimate_cost({"operation": "reconstruct_objects"}) == 0.02
+    assert tool.estimate_cost({"operation": "image_to_3d", "enable_pbr": False}) == 0.225
+    assert tool.estimate_cost({"operation": "image_to_3d", "enable_pbr": True}) == 0.375
+    result = tool.execute({"operation": "text_to_3d", "output_path": str(tmp_path / "asset.glb")})
+    assert not result.success
+
+
+def test_blender_doctor_reports_detected_runtime(monkeypatch, tmp_path):
+    executable = tmp_path / "blender"
+    executable.write_bytes(b"")
+    monkeypatch.setattr(blender_world, "find_blender", lambda: executable)
+    monkeypatch.setattr(blender_world.subprocess, "run", lambda *args, **kwargs: subprocess.CompletedProcess(
+        args=args[0], returncode=0, stdout="OPENMONTAGE_BLENDER=4.5.10 LTS\n", stderr="",
+    ))
+    result = BlenderWorld().execute({"operation": "doctor"})
+    assert result.success, result.error
+    assert result.data["version_line"].startswith("OPENMONTAGE_BLENDER=4.5.10")
+
+
+def test_blender_doctor_explains_missing_optional_runtime(monkeypatch):
+    monkeypatch.setattr(blender_world, "find_blender", lambda: None)
+    result = BlenderWorld().execute({"operation": "doctor"})
+    assert not result.success
+    assert "Blender not found" in (result.error or "")
+
+
+def test_blender_resume_finds_first_missing_contiguous_frame(tmp_path):
+    prefix = tmp_path / "frame-"
+    for frame in (1, 2, 4):
+        (tmp_path / f"frame-{frame:04d}.png").write_bytes(b"png")
+    assert first_missing_frame(prefix, 1, 5) == 3
+    (tmp_path / "frame-0003.png").write_bytes(b"png")
+    assert first_missing_frame(prefix, 1, 4) is None
+
+
+def test_asset_manifest_accepts_generated_mesh_type():
+    schema = json.loads(Path("schemas/artifacts/asset_manifest.schema.json").read_text(encoding="utf-8"))
+    jsonschema.validate({
+        "version": "1.0",
+        "assets": [{
+            "id": "hero-cottage",
+            "type": "3d_asset",
+            "path": "assets/3d/hero-cottage.glb",
+            "source_tool": "atlas_3d",
+            "scene_id": "village",
+        }],
+    }, schema)
+
+
+def test_atlas_success_downloads_glb_and_provenance(monkeypatch, tmp_path):
+    monkeypatch.setenv("ATLASCLOUD_API_KEY", "test-key")
+    monkeypatch.setattr(atlas_3d.time, "sleep", lambda _seconds: None)
+    monkeypatch.setattr(atlas_3d.requests, "post", lambda *args, **kwargs: _Response({"data": {"id": "pred-1"}}))
+
+    def fake_get(url, **_kwargs):
+        if "prediction/pred-1" in url:
+            return _Response({"data": {"status": "completed", "files": [{
+                "type": "glb", "url": "https://cdn.example/asset.glb",
+            }]}})
+        return _Response(content=b"glb-bytes")
+
+    monkeypatch.setattr(atlas_3d.requests, "get", fake_get)
+    output = tmp_path / "asset.glb"
+    result = Atlas3D().execute({"prompt": "a weathered cottage", "output_path": str(output)})
+    assert result.success, result.error
+    assert output.read_bytes() == b"glb-bytes"
+    provenance = json.loads(output.with_suffix(".provenance.json").read_text(encoding="utf-8"))
+    assert provenance["prediction_id"] == "pred-1"
+    assert provenance["model"] == "tripo-h3.1/text-to-3d"
+
+
+def test_fal_success_downloads_glb_and_provenance(monkeypatch, tmp_path):
+    monkeypatch.setenv("FAL_KEY", "test-key")
+    monkeypatch.setattr(fal_3d.time, "sleep", lambda _seconds: None)
+    monkeypatch.setattr(fal_3d.requests, "post", lambda *args, **kwargs: _Response({
+        "request_id": "req-1",
+        "status_url": "https://queue.example/status",
+        "response_url": "https://queue.example/result",
+    }))
+
+    def fake_get(url, **_kwargs):
+        if url.endswith("/status"):
+            return _Response({"status": "COMPLETED"})
+        if url.endswith("/result"):
+            return _Response({"model_urls": {"glb": {
+                "url": "https://cdn.example/asset.glb", "content_type": "model/gltf-binary",
+            }}})
+        return _Response(content=b"fal-glb")
+
+    monkeypatch.setattr(fal_3d.requests, "get", fake_get)
+    output = tmp_path / "fal-asset.glb"
+    result = Fal3D().execute({
+        "operation": "text_to_3d", "prompt": "a stone bridge", "output_path": str(output),
+    })
+    assert result.success, result.error
+    assert output.read_bytes() == b"fal-glb"
+    provenance = json.loads(output.with_suffix(".provenance.json").read_text(encoding="utf-8"))
+    assert provenance["request_id"] == "req-1"
+    assert provenance["provider"] == "fal"

tests/tools/test_audio_mixer_target_duration.py

@@ -0,0 +1,94 @@
+import shutil
+import subprocess
+import math
+import struct
+import wave
+from pathlib import Path
+
+import pytest
+
+from tools.audio.audio_mixer import AudioMixer
+
+
+pytestmark = pytest.mark.skipif(
+    shutil.which("ffmpeg") is None or shutil.which("ffprobe") is None,
+    reason="ffmpeg and ffprobe are required",
+)
+
+
+def _tone(path: Path, frequency: int, duration: float) -> None:
+    subprocess.run(
+        [
+            "ffmpeg", "-y", "-f", "lavfi", "-i",
+            f"sine=frequency={frequency}:duration={duration}", str(path),
+        ],
+        capture_output=True,
+        check=True,
+        timeout=30,
+    )
+
+
+def _duration(path: Path) -> float:
+    result = subprocess.run(
+        [
+            "ffprobe", "-v", "error", "-show_entries", "format=duration",
+            "-of", "csv=p=0", str(path),
+        ],
+        capture_output=True,
+        check=True,
+        text=True,
+        timeout=30,
+    )
+    return float(result.stdout.strip())
+
+
+def _tail_rms(path: Path, start_seconds: float, end_seconds: float) -> float:
+    with wave.open(str(path), "rb") as handle:
+        sample_width = handle.getsampwidth()
+        assert sample_width == 2
+        frame_rate = handle.getframerate()
+        handle.setpos(int(start_seconds * frame_rate))
+        raw = handle.readframes(int((end_seconds - start_seconds) * frame_rate))
+    samples = struct.unpack(f"<{len(raw) // 2}h", raw)
+    return math.sqrt(sum(sample * sample for sample in samples) / len(samples))
+
+
+def test_full_mix_can_pin_the_composition_length(tmp_path) -> None:
+    speech = tmp_path / "speech.wav"
+    music = tmp_path / "music.wav"
+    output = tmp_path / "mix.wav"
+    _tone(speech, 440, 1)
+    _tone(music, 220, 3)
+
+    result = AudioMixer().execute({
+        "operation": "full_mix",
+        "tracks": [
+            {"path": str(speech), "role": "speech"},
+            {"path": str(music), "role": "music"},
+        ],
+        "ducking": {"enabled": True},
+        "normalize": False,
+        "target_duration": 3,
+        "output_path": str(output),
+    })
+
+    assert result.success, result.error
+    assert result.data["target_duration"] == 3
+    assert _duration(output) == pytest.approx(3.0, abs=0.15)
+    assert _tail_rms(output, 2.0, 2.5) > 100
+
+
+@pytest.mark.parametrize("target", [0, -1, "not-a-number"])
+def test_full_mix_rejects_invalid_target_duration(tmp_path, target) -> None:
+    tone = tmp_path / "tone.wav"
+    _tone(tone, 440, 0.25)
+
+    result = AudioMixer().execute({
+        "operation": "full_mix",
+        "tracks": [{"path": str(tone), "role": "speech"}],
+        "target_duration": target,
+        "output_path": str(tmp_path / "mix.wav"),
+    })
+
+    assert result.success is False
+    assert "target_duration" in result.error

tests/tools/test_bg_remove_api.py

@@ -0,0 +1,28 @@
+import sys
+from unittest.mock import MagicMock
+
+from PIL import Image
+
+
+def test_bg_remove_selects_model_through_rembg_session(monkeypatch, tmp_path) -> None:
+    fake_rembg = MagicMock()
+    fake_rembg.new_session.return_value = "selected-session"
+    fake_rembg.remove.side_effect = lambda image, **kwargs: image.convert("RGBA")
+    monkeypatch.setitem(sys.modules, "rembg", fake_rembg)
+
+    input_path = tmp_path / "input.png"
+    Image.new("RGB", (8, 8), (10, 20, 30)).save(input_path)
+
+    from tools.enhancement.bg_remove import BgRemove
+
+    result = BgRemove().execute({
+        "input_path": str(input_path),
+        "output_path": str(tmp_path / "output.png"),
+        "model": "isnet-general-use",
+    })
+
+    assert result.success, result.error
+    fake_rembg.new_session.assert_called_once_with("isnet-general-use")
+    kwargs = fake_rembg.remove.call_args.kwargs
+    assert kwargs["session"] == "selected-session"
+    assert "model_name" not in kwargs

tests/tools/test_cinematic_remotion_adapter.py

@@ -0,0 +1,177 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from tools.video.video_compose import VideoCompose
+
+
+def test_cinematic_cut_adapter_builds_a_sequential_timeline() -> None:
+    scenes = VideoCompose._cuts_to_cinematic_scenes([
+        {
+            "id": "v1",
+            "source": "clip.mp4",
+            "in_seconds": 2,
+            "out_seconds": 6,
+            "transition_in": "cut",
+            "transition_out": "none",
+        },
+        {
+            "id": "title",
+            "source": "",
+            "type": "hero_title",
+            "text": "The signal arrives",
+            "in_seconds": 0,
+            "out_seconds": 3,
+        },
+    ])
+
+    assert scenes[0] == {
+        "id": "v1",
+        "startSeconds": 0.0,
+        "durationSeconds": 4.0,
+        "kind": "video",
+        "src": "clip.mp4",
+        "trimBeforeSeconds": 2.0,
+        "trimAfterSeconds": 6.0,
+        "playbackRate": 1.0,
+        "fadeInFrames": 0,
+        "fadeOutFrames": 0,
+    }
+    assert scenes[1]["kind"] == "title"
+    assert scenes[1]["startSeconds"] == 4.0
+    assert scenes[1]["text"] == "The signal arrives"
+
+
+def test_cinematic_cut_adapter_preserves_playback_speed() -> None:
+    scenes = VideoCompose._cuts_to_cinematic_scenes([
+        {
+            "id": "fast",
+            "source": "clip.mp4",
+            "in_seconds": 2,
+            "out_seconds": 6,
+            "speed": 2,
+        }
+    ])
+
+    assert scenes[0]["durationSeconds"] == 2
+    assert scenes[0]["playbackRate"] == 2
+
+
+@pytest.mark.parametrize("uri_style", ["standard", "legacy_windows"])
+def test_remotion_media_staging_decodes_file_uris(tmp_path, uri_style) -> None:
+    source = tmp_path / "clip with space.mp4"
+    source.write_bytes(b"video")
+    public_dir = tmp_path / "public"
+    uri = source.as_uri()
+    if uri_style == "legacy_windows" and len(source.drive) == 2:
+        uri = f"file://{source.drive}{source.as_posix()[2:]}".replace(" ", "%20")
+    props = {"scenes": [{"src": uri}]}
+
+    staged_count = VideoCompose._stage_remotion_media(props, public_dir)
+
+    assert staged_count == 1
+    assert props["scenes"][0]["src"] != uri
+    assert (public_dir / props["scenes"][0]["src"]).read_bytes() == b"video"
+
+
+def test_remotion_render_adapts_cuts_and_stages_local_video(monkeypatch, tmp_path) -> None:
+    source = tmp_path / "source.mp4"
+    source.write_bytes(b"not-a-real-video")
+    output = tmp_path / "render.mp4"
+    captured = {}
+
+    def fake_run_command(self, command, **kwargs):
+        captured["command"] = command
+        captured["timeout"] = kwargs["timeout"]
+        props_arg = next(arg for arg in command if arg.startswith("--props="))
+        captured["props"] = json.loads(Path(props_arg.split("=", 1)[1]).read_text())
+        public_arg = next(arg for arg in command if arg.startswith("--public-dir="))
+        public_dir = Path(public_arg.split("=", 1)[1])
+        captured["staged_exists_during_render"] = (
+            public_dir / captured["props"]["scenes"][0]["src"]
+        ).exists()
+        output.write_bytes(b"rendered")
+
+    monkeypatch.setattr(VideoCompose, "run_command", fake_run_command)
+
+    result = VideoCompose()._remotion_render({
+        "edit_decisions": {
+            "renderer_family": "cinematic-trailer",
+            "cuts": [
+                {
+                    "id": "v1",
+                    "source": str(source),
+                    "in_seconds": 0,
+                    "out_seconds": 2,
+                }
+            ],
+        },
+        "output_path": str(output),
+    })
+
+    assert result.success, result.error
+    assert "cuts" not in captured["props"]
+    assert captured["props"]["scenes"][0]["kind"] == "video"
+    assert captured["staged_exists_during_render"] is True
+    assert result.data["staged_media_count"] == 1
+
+
+def test_remotion_timeout_scales_with_scene_count(monkeypatch, tmp_path) -> None:
+    output = tmp_path / "render.mp4"
+    captured = {}
+
+    def fake_run_command(self, command, **kwargs):
+        captured["timeout"] = kwargs["timeout"]
+        output.write_bytes(b"rendered")
+
+    monkeypatch.setattr(VideoCompose, "run_command", fake_run_command)
+    cuts = [
+        {
+            "id": f"title-{index}",
+            "source": "",
+            "type": "hero_title",
+            "text": str(index),
+            "in_seconds": 0,
+            "out_seconds": 1,
+        }
+        for index in range(50)
+    ]
+
+    result = VideoCompose()._remotion_render({
+        "edit_decisions": {"renderer_family": "cinematic-trailer", "cuts": cuts},
+        "output_path": str(output),
+    })
+
+    assert result.success, result.error
+    assert captured["timeout"] == 750
+
+
+def test_remotion_render_preserves_direct_cinematic_scenes(monkeypatch, tmp_path) -> None:
+    output = tmp_path / "render.mp4"
+    captured = {}
+
+    def fake_run_command(self, command, **kwargs):
+        props_arg = next(arg for arg in command if arg.startswith("--props="))
+        captured["props"] = json.loads(Path(props_arg.split("=", 1)[1]).read_text())
+        output.write_bytes(b"rendered")
+
+    monkeypatch.setattr(VideoCompose, "run_command", fake_run_command)
+    scene = {
+        "id": "authored",
+        "kind": "title",
+        "text": "Keep me",
+        "startSeconds": 0,
+        "durationSeconds": 1,
+    }
+
+    result = VideoCompose()._remotion_render({
+        "composition_data": {
+            "renderer_family": "cinematic-trailer",
+            "scenes": [scene],
+        },
+        "output_path": str(output),
+    })
+
+    assert result.success, result.error
+    assert captured["props"]["scenes"] == [scene]

tests/tools/test_corpus_builder_total_failure.py

@@ -0,0 +1,59 @@
+from dataclasses import dataclass
+
+import pytest
+
+import tools.video.stock_sources as stock_sources
+from tools.video.corpus_builder import CorpusBuilder
+
+
+@dataclass
+class _Candidate:
+    clip_id: str
+
+
+class _Source:
+    name = "fake"
+
+    def __init__(self, count: int) -> None:
+        self.count = count
+
+    def is_available(self) -> bool:
+        return True
+
+    def search(self, query, filters):
+        return [_Candidate(f"clip-{index}") for index in range(self.count)]
+
+
+@pytest.fixture
+def run_builder(monkeypatch, tmp_path):
+    def run(count: int, processor):
+        monkeypatch.setattr(stock_sources, "available_sources", lambda: [_Source(count)])
+        monkeypatch.setattr(stock_sources, "source_summary", lambda: {})
+        monkeypatch.setattr(CorpusBuilder, "_process_candidate", processor)
+        return CorpusBuilder().execute({
+            "corpus_dir": str(tmp_path / f"corpus-{count}"),
+            "queries": [{"query": "city at night"}],
+            "max_new_clips": 50,
+        })
+
+    return run
+
+
+def test_all_candidate_failures_fail_closed_with_diagnostics(run_builder) -> None:
+    def broken_clip_stack(*args, **kwargs):
+        raise AttributeError("BaseModelOutput has no attribute norm")
+
+    result = run_builder(4, broken_clip_stack)
+
+    assert result.success is False
+    assert result.data["candidates_seen"] == 4
+    assert result.data["clips_failed"] == 4
+    assert "corpus index is empty" in result.error
+    assert "BaseModelOutput" in result.error
+
+
+def test_no_candidates_is_a_valid_empty_search(run_builder) -> None:
+    result = run_builder(0, lambda *args, **kwargs: None)
+
+    assert result.success is True
+    assert result.data["candidates_seen"] == 0

tests/tools/test_google_vertex_backends.py

@@ -0,0 +1,97 @@
+from pathlib import Path
+from types import SimpleNamespace
+
+import pytest
+
+
+def test_blank_google_location_uses_documented_default(monkeypatch) -> None:
+    monkeypatch.setenv("GOOGLE_CLOUD_LOCATION", "")
+    from tools.google_credentials import resolve_google_location
+
+    assert resolve_google_location() == "us-central1"
+
+
+def test_google_music_requests_the_global_vertex_location(monkeypatch, tmp_path) -> None:
+    monkeypatch.setenv("GOOGLE_API_KEY", "test-key")
+    import tools.google_credentials as credentials
+
+    captured = {}
+
+    def stop_before_network(http_options=None, location=None):
+        captured["location"] = location
+        raise RuntimeError("stop before network")
+
+    monkeypatch.setattr(credentials, "get_genai_client", stop_before_network)
+
+    from tools.audio.google_music import GoogleMusic
+
+    result = GoogleMusic().execute({
+        "prompt": "solo piano",
+        "output_path": str(tmp_path / "music.mp3"),
+    })
+
+    assert result.success is False
+    assert captured["location"] == "global"
+
+
+class _VideoAsset:
+    uri = None
+
+    def __init__(self, video_bytes):
+        self.video_bytes = video_bytes
+
+    def save(self, path):
+        Path(path).write_bytes(self.video_bytes or b"")
+
+
+class _Models:
+    def __init__(self, video_bytes):
+        self.video_bytes = video_bytes
+
+    def generate_videos(self, **kwargs):
+        asset = _VideoAsset(self.video_bytes)
+        generated = SimpleNamespace(video=asset)
+        response = SimpleNamespace(generated_videos=[generated])
+        return SimpleNamespace(done=True, error=None, response=response)
+
+
+class _VertexClient:
+    vertexai = True
+
+    def __init__(self, video_bytes):
+        self.models = _Models(video_bytes)
+        self.files = SimpleNamespace(
+            download=lambda **kwargs: pytest.fail("Vertex must not call files.download")
+        )
+
+
+@pytest.mark.parametrize(
+    ("video_bytes", "expected_success"),
+    [(b"VIDEO_BYTES", True), (None, False)],
+)
+def test_veo_accepts_vertex_and_requires_inline_bytes(
+    monkeypatch, tmp_path, video_bytes, expected_success
+) -> None:
+    monkeypatch.setenv("GOOGLE_API_KEY", "test-key")
+    import tools.google_credentials as credentials
+
+    monkeypatch.setattr(
+        credentials,
+        "get_genai_client",
+        lambda http_options=None, location=None: _VertexClient(video_bytes),
+    )
+
+    from tools.video.veo_video import VeoVideo
+
+    output = tmp_path / "video.mp4"
+    result = VeoVideo().execute({
+        "backend": "google",
+        "prompt": "wind moving across grassland",
+        "output_path": str(output),
+    })
+
+    assert result.success is expected_success
+    if expected_success:
+        assert output.read_bytes() == b"VIDEO_BYTES"
+    else:
+        assert "without inline bytes" in result.error

tests/tools/test_hyperframes_compose.py

@@ -250,6 +250,11 @@ def test_runtime_check_succeeds_when_npm_resolves(monkeypatch):
         "_resolve_npm_package",
         classmethod(lambda cls: {"version": "0.4.5"}),
     )
+    monkeypatch.setattr(
+        HyperFramesCompose,
+        "_probe_cli",
+        classmethod(lambda cls: {"status": "ok"}),
+    )
     rc = HyperFramesCompose()._runtime_check()
     # Local binaries must still pass for this to go green.
     if rc["node_major"] is None or not rc["ffmpeg_available"] or not rc["npx_available"]:
@@ -259,6 +264,31 @@ def test_runtime_check_succeeds_when_npm_resolves(monkeypatch):
     assert rc["reasons"] == []
 
 
+def test_runtime_check_fails_when_published_cli_crashes(monkeypatch):
+    monkeypatch.setattr(
+        HyperFramesCompose,
+        "_resolve_npm_package",
+        classmethod(lambda cls: {"version": "0.7.89"}),
+    )
+    monkeypatch.setattr(
+        HyperFramesCompose,
+        "_probe_cli",
+        classmethod(
+            lambda cls: {
+                "error": 'doctor failed: The "file" argument must be of type string'
+            }
+        ),
+    )
+
+    rc = HyperFramesCompose()._runtime_check()
+
+    if rc["node_major"] is None or not rc["ffmpeg_available"] or not rc["npx_available"]:
+        pytest.skip("Local runtime floor not met on this machine")
+    assert rc["runtime_available"] is False
+    assert rc["cli_probe_error"] is not None
+    assert any("not executable" in reason for reason in rc["reasons"])
+
+
 def test_video_compose_render_engines_follow_hyperframes_runtime_check(monkeypatch):
     """Regression: `video_compose.get_info()['render_engines']['hyperframes']`
     must track the true availability, not just the local-binary floor.

tests/tools/test_mps_device.py

@@ -213,8 +213,9 @@ def test_upscale_build_upsampler_uses_signature_guard(monkeypatch):
 
     # Build a fake RealESRGANer whose __init__ DOES accept device=
     class FakeRealESRGANer:
-        def __init__(self, *, scale, model_path, model, dni_weight, half, device=None):
+        def __init__(self, *, scale, model_path, model, dni_weight, half, tile=0, tile_pad=10, device=None):
             self.called_with_device = device
+            self.called_with_tile = tile
     fake_realesrganer_cls = FakeRealESRGANer
 
     monkeypatch.setitem(sys.modules, "torch", fake_torch)
@@ -239,6 +240,7 @@ def test_upscale_build_upsampler_uses_signature_guard(monkeypatch):
     tool = upscale.Upscale()
     result = tool._build_upsampler(scale=4, model_name="RealESRGAN_x4plus", denoise_strength=0.5, face_enhance=False)
     assert result.called_with_device == "device(mps)"
+    assert result.called_with_tile == 256
 
 
 def test_upscale_build_upsampler_skips_device_when_unsupported(monkeypatch):
@@ -252,8 +254,9 @@ def test_upscale_build_upsampler_skips_device_when_unsupported(monkeypatch):
 
     # Build a fake RealESRGANer whose __init__ does NOT accept device=
     class FakeRealESRGANerNoDevice:
-        def __init__(self, *, scale, model_path, model, dni_weight, half):
+        def __init__(self, *, scale, model_path, model, dni_weight, half, tile=0, tile_pad=10):
             self.called_with_device = None  # no device param
+            self.called_with_tile = tile
     fake_realesrganer_cls = FakeRealESRGANerNoDevice
 
     monkeypatch.setitem(sys.modules, "torch", fake_torch)
@@ -279,6 +282,7 @@ def test_upscale_build_upsampler_skips_device_when_unsupported(monkeypatch):
     # Should NOT raise TypeError about unexpected keyword argument 'device'
     result = tool._build_upsampler(scale=4, model_name="RealESRGAN_x4plus", denoise_strength=0.5, face_enhance=False)
     assert result.called_with_device is None
+    assert result.called_with_tile == 256
 
 
 # ------------------------------------------------------------------

tests/tools/test_remotion_audio_mux.py

@@ -0,0 +1,59 @@
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+
+from tools.video.video_compose import VideoCompose
+
+
+pytestmark = pytest.mark.skipif(
+    shutil.which("ffmpeg") is None or shutil.which("ffprobe") is None,
+    reason="ffmpeg and ffprobe are required",
+)
+
+
+def _run(command: list[str]) -> None:
+    subprocess.run(command, capture_output=True, check=True, timeout=30)
+
+
+def test_external_audio_mux_adds_audible_stream_without_changing_video_length(tmp_path) -> None:
+    video = tmp_path / "video.mp4"
+    audio = tmp_path / "audio.wav"
+    _run([
+        "ffmpeg", "-y", "-f", "lavfi", "-i",
+        "color=c=red:s=320x180:d=2:r=30",
+        "-c:v", "libx264", "-pix_fmt", "yuv420p", str(video),
+    ])
+    _run([
+        "ffmpeg", "-y", "-f", "lavfi", "-i",
+        "sine=frequency=440:duration=1", str(audio),
+    ])
+
+    result = VideoCompose()._mux_external_audio(video, audio)
+
+    assert result.success, result.error
+    streams = subprocess.run(
+        [
+            "ffprobe", "-v", "error", "-show_entries",
+            "stream=codec_type", "-of", "csv=p=0", str(video),
+        ],
+        capture_output=True,
+        check=True,
+        text=True,
+        timeout=30,
+    ).stdout.splitlines()
+    duration = float(subprocess.run(
+        [
+            "ffprobe", "-v", "error", "-show_entries", "format=duration",
+            "-of", "csv=p=0", str(video),
+        ],
+        capture_output=True,
+        check=True,
+        text=True,
+        timeout=30,
+    ).stdout.strip())
+
+    assert "video" in streams
+    assert "audio" in streams
+    assert duration == pytest.approx(2.0, abs=0.15)

tests/tools/test_threejs_asset_catalog.py

@@ -0,0 +1,45 @@
+import json
+import zipfile
+from pathlib import Path
+
+from tools.graphics.threejs_asset_catalog import CATALOGS, ThreeJSAssetCatalog
+
+
+def test_catalog_list_is_rights_explicit():
+    result = ThreeJSAssetCatalog().execute({"operation": "list"})
+    assert result.success
+    assert result.data["catalogs"]
+    assert all(item["license"] == "CC0-1.0" for item in result.data["catalogs"].values())
+
+
+def test_catalog_install_inventories_gltf(tmp_path, monkeypatch):
+    source_zip = tmp_path / "fixture.zip"
+    with zipfile.ZipFile(source_zip, "w") as package:
+        package.writestr("Models/GLTF format/Tree.gltf", json.dumps({"asset": {"version": "2.0"}}))
+        package.writestr("Models/GLTF format/Tree.bin", b"mesh")
+        package.writestr("Textures/tree.png", b"texture")
+
+    fixture_id = "fixture-catalog"
+    monkeypatch.setitem(CATALOGS, fixture_id, {
+        "title": "Fixture",
+        "source_url": "https://example.test/source",
+        "download_url": "https://example.test/catalog.zip",
+        "license": "CC0-1.0",
+        "license_url": "https://creativecommons.org/publicdomain/zero/1.0/",
+        "tags": ["fixture"],
+    })
+
+    def fake_download(_url: str, destination: Path) -> None:
+        destination.write_bytes(source_zip.read_bytes())
+
+    monkeypatch.setattr("tools.graphics.threejs_asset_catalog._download", fake_download)
+    output = tmp_path / "installed"
+    result = ThreeJSAssetCatalog().execute({
+        "operation": "install",
+        "catalog_id": fixture_id,
+        "output_path": str(output),
+    })
+    assert result.success, result.error
+    assert result.data["model_count"] == 1
+    assert result.data["texture_count"] == 1
+    assert (output / "catalog-manifest.json").exists()

tests/tools/test_threejs_world.py

@@ -0,0 +1,243 @@
+"""Contracts for semantic Three.js world generation and atelier rendering."""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import subprocess
+from pathlib import Path
+
+from tools.base_tool import ToolResult
+from tools.graphics.threejs_world import ThreeJSWorld
+from tools.tool_registry import ToolRegistry
+from tools.video.hyperframes_compose import HyperFramesCompose
+from tools.video.video_compose import VideoCompose
+
+
+def _world_spec(duration: float = 12.0) -> dict:
+    return {
+        "version": "1.0",
+        "title": "The Luminous Divide",
+        "seed": 260805248,
+        "explicit_constraints": ["one continuous explorable world"],
+        "inferred_details": ["cyan emissive accents provide visual continuity"],
+        "world": {
+            "size": 96,
+            "resolution": 72,
+            "elevation_scale": 12,
+            "water_level": -1.5,
+        },
+        "regions": [
+            {
+                "id": "wetlands",
+                "center": [-0.45, 0.15],
+                "radius": 0.9,
+                "landform": "basin",
+                "color": "#204a43",
+                "accent_color": "#71f7c4",
+                "scatter": {"tree": 18, "rock": 8, "crystal": 6},
+            },
+            {
+                "id": "rift",
+                "center": [0.5, -0.1],
+                "radius": 0.9,
+                "landform": "canyon",
+                "color": "#503040",
+                "accent_color": "#ff765f",
+                "scatter": {"tree": 0, "rock": 18, "crystal": 9},
+            },
+        ],
+        "landmarks": [
+            {
+                "id": "threshold-ring",
+                "type": "ring",
+                "region_id": "wetlands",
+                "position": [-22, 0, 8],
+                "scale": 3.5,
+            }
+        ],
+        "camera_path": [
+            {"time": 0, "position": [-42, 23, 38], "target": [-18, 0, 4]},
+            {"time": duration / 2, "position": [0, 16, 24], "target": [10, 0, -4]},
+            {"time": duration, "position": [42, 25, -34], "target": [20, 0, -5]},
+        ],
+    }
+
+
+def test_threejs_world_contract_and_registry_discovery():
+    tool = ThreeJSWorld()
+    assert tool.capability == "3d_world_generation"
+    assert tool.provider == "threejs"
+    assert "threejs-world-generation" in tool.agent_skills
+    assert {"cinematic", "semantic", "wireframe"} == set(
+        tool.input_schema["properties"]["render_mode"]["enum"]
+    )
+
+    registry = ToolRegistry()
+    registry.discover("tools")
+    assert "threejs_world" in {
+        discovered.name
+        for discovered in registry.get_by_capability("3d_world_generation")
+    }
+
+
+def test_threejs_world_validate_emits_worldclaw_diagnostics():
+    result = ThreeJSWorld().execute(
+        {"operation": "validate", "world_spec": _world_spec(), "duration_seconds": 12}
+    )
+    assert result.success, result.error
+    report = result.data["report"]
+    assert report["valid"] is True
+    assert report["stats"]["region_count"] == 2
+    assert report["stats"]["terrain_triangles"] > 0
+    assert set(report["diagnostic_passes"]) == {"cinematic", "semantic", "wireframe"}
+    assert report["review_views"] == [
+        "global",
+        "regional",
+        "walk",
+        "semantic",
+        "wireframe",
+    ]
+
+
+def test_threejs_world_build_is_deterministic_and_editable(tmp_path):
+    workspaces = [tmp_path / "first", tmp_path / "second"]
+    hashes = []
+    for workspace in workspaces:
+        result = ThreeJSWorld().execute(
+            {
+                "operation": "build",
+                "world_spec": _world_spec(),
+                "output_path": str(workspace),
+                "duration_seconds": 12,
+                "width": 1280,
+                "height": 720,
+                "render_mode": "semantic",
+            }
+        )
+        assert result.success, result.error
+        for filename in (
+            "index.html",
+            "world.css",
+            "world-runtime.js",
+            "world.json",
+            "world-spec.js",
+            "world-report.json",
+            "hyperframes.json",
+        ):
+            assert (workspace / filename).is_file()
+        index = (workspace / "index.html").read_text(encoding="utf-8")
+        assert "--world-width: 1280px" in index
+        assert 'data-render-mode="semantic"' in index
+        hashes.append(
+            hashlib.sha256((workspace / "world-spec.js").read_bytes()).hexdigest()
+        )
+    assert hashes[0] == hashes[1]
+    assert json.loads((workspaces[0] / "world.json").read_text(encoding="utf-8"))[
+        "seed"
+    ] == 260805248
+
+
+def test_threejs_world_rejects_incomplete_camera_path():
+    spec = _world_spec()
+    spec["camera_path"][-1]["time"] = 11
+    result = ThreeJSWorld().execute(
+        {"operation": "validate", "world_spec": spec, "duration_seconds": 12}
+    )
+    assert not result.success
+    assert "Last camera key" in (result.error or "")
+
+
+def test_production_tier_rejects_primitive_only_spec():
+    result = ThreeJSWorld().execute({
+        "operation": "validate",
+        "world_spec": _world_spec(),
+        "duration_seconds": 12,
+        "quality_tier": "production",
+        "asset_catalog_paths": [],
+    })
+    assert not result.success
+    assert "asset catalog" in (result.error or "").lower()
+    assert "asset-palette" in (result.error or "").lower()
+    assert "terrain material" in (result.error or "").lower()
+
+
+def test_blockout_tier_is_labeled_as_nonproduction():
+    result = ThreeJSWorld().execute({
+        "operation": "validate",
+        "world_spec": _world_spec(),
+        "duration_seconds": 12,
+        "quality_tier": "blockout",
+    })
+    assert result.success
+    assert result.data["report"]["quality_tier"] == "blockout"
+    assert any("do not present" in warning.lower() for warning in result.data["report"]["warnings"])
+
+
+def test_hyperframes_render_existing_preserves_authored_entry(tmp_path, monkeypatch):
+    workspace = tmp_path / "world"
+    workspace.mkdir()
+    entry = workspace / "index.html"
+    entry.write_text("<main data-composition-id='world'></main>", encoding="utf-8")
+    tool = HyperFramesCompose()
+    monkeypatch.setattr(tool, "_runtime_check", lambda: {"runtime_available": True})
+    monkeypatch.setattr(tool, "_check", lambda inputs: ToolResult(success=True, data={"ok": True}))
+
+    def fake_run(args, *, cwd, timeout, check):
+        output = Path(args[args.index("--output") + 1])
+        output.parent.mkdir(parents=True, exist_ok=True)
+        output.write_bytes(b"rendered")
+        return subprocess.CompletedProcess(args, 0, "", "")
+
+    monkeypatch.setattr(tool, "_run_hf", fake_run)
+    output = tmp_path / "renders" / "final.mp4"
+    result = tool.execute(
+        {
+            "operation": "render_existing",
+            "workspace_path": str(workspace),
+            "output_path": str(output),
+            "quality": "draft",
+        }
+    )
+    assert result.success, result.error
+    assert result.data["authored_entry_preserved"] is True
+    assert entry.read_text(encoding="utf-8") == "<main data-composition-id='world'></main>"
+    assert output.is_file()
+
+
+def test_video_compose_routes_empty_cut_atelier_to_existing_workspace(tmp_path, monkeypatch):
+    captured = {}
+    output = tmp_path / "final.mp4"
+
+    def fake_hyperframes_execute(self, inputs):
+        captured.update(inputs)
+        Path(inputs["output_path"]).write_bytes(b"fake mp4")
+        return ToolResult(success=True, data={"output": inputs["output_path"]})
+
+    monkeypatch.setattr(VideoCompose, "_hyperframes_available", lambda self: True)
+    monkeypatch.setattr(HyperFramesCompose, "execute", fake_hyperframes_execute)
+    monkeypatch.setattr(
+        VideoCompose,
+        "_run_final_review",
+        lambda self, *args, **kwargs: {"status": "pass", "issues_found": []},
+    )
+
+    result = VideoCompose().execute(
+        {
+            "operation": "render",
+            "workspace_path": str(tmp_path / "world"),
+            "output_path": str(output),
+            "edit_decisions": {
+                "version": "1.0",
+                "cuts": [],
+                "render_runtime": "hyperframes",
+                "renderer_family": "bespoke",
+                "composition_mode": "atelier",
+                "bespoke": {"entry": "index.html"},
+            },
+        }
+    )
+    assert result.success, result.error
+    assert captured["operation"] == "render_existing"
+    assert captured["asset_manifest"] == {"version": "1.0", "assets": []}
+    assert captured["edit_decisions"]["cuts"] == []

tests/tools/test_transcriber_device_selection.py

@@ -0,0 +1,83 @@
+import sys
+from types import SimpleNamespace
+
+from tools.analysis.transcriber import Transcriber
+
+
+class _Info:
+    language = "en"
+    duration = 1.0
+
+
+def test_transcriber_uses_ctranslate2_cuda_without_torch(monkeypatch, tmp_path) -> None:
+    devices = []
+
+    class FakeWhisperModel:
+        def __init__(self, model_size, *, device, compute_type):
+            devices.append((device, compute_type))
+
+        def transcribe(self, *args, **kwargs):
+            return iter(()), _Info()
+
+    monkeypatch.setitem(
+        sys.modules,
+        "faster_whisper",
+        SimpleNamespace(WhisperModel=FakeWhisperModel),
+    )
+    monkeypatch.setitem(
+        sys.modules,
+        "ctranslate2",
+        SimpleNamespace(
+            get_cuda_device_count=lambda: 1,
+            get_supported_compute_types=lambda device: {"float16", "float32"},
+        ),
+    )
+    input_path = tmp_path / "audio.wav"
+    input_path.write_bytes(b"fake")
+
+    result = Transcriber().execute({"input_path": str(input_path), "output_dir": str(tmp_path)})
+
+    assert result.success, result.error
+    assert devices == [("cuda", "float16")]
+    assert result.data["device"] == "cuda"
+
+
+def test_transcriber_falls_back_when_cuda_fails_during_iteration(monkeypatch, tmp_path) -> None:
+    devices = []
+
+    class FakeWhisperModel:
+        def __init__(self, model_size, *, device, compute_type):
+            self.device = device
+            devices.append((device, compute_type))
+
+        def transcribe(self, *args, **kwargs):
+            if self.device == "cuda":
+                def broken_iterator():
+                    raise RuntimeError("cublas64_12.dll not found")
+                    yield
+
+                return broken_iterator(), _Info()
+            return iter(()), _Info()
+
+    monkeypatch.setitem(
+        sys.modules,
+        "faster_whisper",
+        SimpleNamespace(WhisperModel=FakeWhisperModel),
+    )
+    monkeypatch.setitem(
+        sys.modules,
+        "ctranslate2",
+        SimpleNamespace(
+            get_cuda_device_count=lambda: 1,
+            get_supported_compute_types=lambda device: {"float16"},
+        ),
+    )
+    input_path = tmp_path / "audio.wav"
+    input_path.write_bytes(b"fake")
+
+    result = Transcriber().execute({"input_path": str(input_path), "output_dir": str(tmp_path)})
+
+    assert result.success, result.error
+    assert devices == [("cuda", "float16"), ("cpu", "int8")]
+    assert result.data["device"] == "cpu"
+    assert "cublas64_12.dll" in result.data["gpu_fallback_reason"]