ChatterboxTTS and ChatterboxMultilingualTTS are separate classes. Turbo variant doesn't exist in chatterbox-tts 0.1.7. Multilingual generate() requires language_id parameter. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
import pytest
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from fastapi import FastAPI
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from fastapi.testclient import TestClient
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from llmux.config import ApiKey
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from llmux.auth import create_api_key_dependency
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from llmux.model_registry import ModelRegistry
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from llmux.vram_manager import VRAMManager
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from llmux.routes.models import create_models_router
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API_KEY = "sk-test-key"
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@pytest.fixture
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def registry():
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return ModelRegistry.from_config()
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@pytest.fixture
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def vram_manager():
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return VRAMManager(total_vram_gb=16.0)
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@pytest.fixture
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def app(registry, vram_manager):
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keys = [ApiKey(key=API_KEY, name="Test")]
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require_api_key = create_api_key_dependency(keys)
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app = FastAPI()
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app.include_router(create_models_router(registry, require_api_key))
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return app
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@pytest.fixture
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def client(app):
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return TestClient(app)
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@pytest.fixture
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def auth_headers():
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return {"Authorization": f"Bearer {API_KEY}"}
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def test_list_models_returns_16(client, auth_headers):
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resp = client.get("/v1/models", headers=auth_headers)
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assert resp.status_code == 200
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body = resp.json()
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assert body["object"] == "list"
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assert len(body["data"]) == 15
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def test_list_models_contains_expected_names(client, auth_headers):
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resp = client.get("/v1/models", headers=auth_headers)
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names = [m["id"] for m in resp.json()["data"]]
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assert "Qwen3.5-9B-FP8-Thinking" in names
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assert "GPT-OSS-20B-High" in names
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assert "cohere-transcribe" in names
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assert "Chatterbox-Multilingual" in names
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def test_list_models_requires_auth(client):
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resp = client.get("/v1/models")
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assert resp.status_code == 401
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