feat: add project config and test scaffolding

server/config.py

@@ -0,0 +1,47 @@
+"""Application configuration with Pydantic models."""
+
+from pydantic import BaseModel, Field
+
+
+class EscalationConfig(BaseModel):
+    """Escalation engine parameters."""
+    rate: float = 0.05
+    initial_batch_size: int = 40
+    max_images: int = 200
+    max_audio_clips: int = 50
+    asset_swap_min: float = 0.5  # seconds (at high intensity)
+    asset_swap_max: float = 15.0  # seconds (at low intensity)
+    voice_mean_interval: float = 60.0  # Poisson mean at intensity 0
+    silence_gap_min: float = 2.0
+    silence_gap_max: float = 30.0
+    fake_calm_chance: float = 0.08  # probability per phase update
+    fake_calm_duration_min: float = 10.0
+    fake_calm_duration_max: float = 30.0
+    cluster_burst_chance: float = 0.1
+    cluster_burst_count_min: int = 2
+    cluster_burst_count_max: int = 5
+
+
+class ModelConfig(BaseModel):
+    """AI model identifiers and generation parameters."""
+    sdxl_model_id: str = "stabilityai/sdxl-turbo"
+    sdxl_steps: int = 4
+    sdxl_guidance_scale: float = 0.0
+    sdxl_width: int = 512
+    sdxl_height: int = 512
+    xtts_model: str = "tts_models/multilingual/multi-dataset/xtts_v2"
+    xtts_language: str = "en"
+
+
+class AppConfig(BaseModel):
+    """Top-level application config."""
+    host: str = "0.0.0.0"
+    port: int = 8400
+    device: str = "cuda"
+    assets_dir: str = "assets"
+    samples_dir: str = "samples"
+    escalation: EscalationConfig = Field(default_factory=EscalationConfig)
+    models: ModelConfig = Field(default_factory=ModelConfig)
+
+
+config = AppConfig()