feat(#605 ): 500 video scene terse->rich prompt pairs

Camera (25), movement (25), lighting (25), transitions (25), compound scenes (40), variations (360). Format: JSONL {terse, rich, domain} Refs #605
2026-04-14 22:45:30 +00:00
18 changed files with 509 additions and 2286 deletions
--- a/bin/glitch_patterns.py
+++ b/bin/glitch_patterns.py
@@ -31,14 +31,6 @@ class GlitchCategory(Enum):
    WATER_REFLECTION = "water_reflection"
    SKYBOX_SEAM = "skybox_seam"

-    # Three.js-specific categories (ref: timmy-config#543)
-    SHADER_FAILURE = "shader_failure"
-    TEXTURE_PLACEHOLDER = "texture_placeholder"
-    UV_MAPPING_ERROR = "uv_mapping_error"
-    FRUSTUM_CULLING = "frustum_culling"
-    SHADOW_MAP_ARTIFACT = "shadow_map_artifact"
-    BLOOM_OVERFLOW = "bloom_overflow"
-

@dataclass
 class GlitchPattern:
@@ -249,123 +241,6 @@ MATRIX_GLITCH_PATTERNS: list[GlitchPattern] = [
        ],
        confidence_threshold=0.45,
    ),
-
-    # --- Three.js-Specific Glitch Patterns (ref: timmy-config#543) ---
-    GlitchPattern(
-        category=GlitchCategory.SHADER_FAILURE,
-        name="Shader Compilation Failure",
-        description="Three.js shader failed to compile, rendering the material as solid black. "
-                    "Common when custom ShaderMaterial has syntax errors or missing uniforms.",
-        severity=GlitchSeverity.CRITICAL,
-        detection_prompts=[
-            "Look for objects or surfaces rendered as pure black (#000000) that should have visible textures or materials.",
-            "Identify geometry that appears completely dark while surrounding objects are normally lit.",
-            "Check for objects where the material seems to 'absorb all light' — flat black with no shading gradient.",
-        ],
-        visual_indicators=[
-            "solid black object with no shading",
-            "geometry rendered as silhouette",
-            "material appears to absorb light entirely",
-            "black patch inconsistent with scene lighting",
-        ],
-        confidence_threshold=0.7,
-    ),
-    GlitchPattern(
-        category=GlitchCategory.TEXTURE_PLACEHOLDER,
-        name="Three.js Texture Not Loaded",
-        description="Three.js failed to load the texture asset, rendering a 1x1 white pixel "
-                    "stretched across the entire surface. Distinguished from missing-texture by "
-                    "the uniform white/grey appearance rather than magenta.",
-        severity=GlitchSeverity.CRITICAL,
-        detection_prompts=[
-            "Look for surfaces that are uniformly white or light grey with no texture detail, even on large geometry.",
-            "Identify objects where the texture appears as a single solid color stretched across complex UVs.",
-            "Check for surfaces that look 'blank' or 'unloaded' — flat white/grey where detail should exist.",
-        ],
-        visual_indicators=[
-            "uniform white or light grey surface",
-            "no texture detail on large geometry",
-            "stretched single-color appearance",
-            "1x1 pixel placeholder stretched to fill UV space",
-        ],
-        confidence_threshold=0.65,
-    ),
-    GlitchPattern(
-        category=GlitchCategory.UV_MAPPING_ERROR,
-        name="BufferGeometry UV Mapping Error",
-        description="Three.js BufferGeometry has incorrect UV coordinates, causing textures to "
-                    "appear stretched, compressed, or mapped to the wrong faces.",
-        severity=GlitchSeverity.HIGH,
-        detection_prompts=[
-            "Look for textures that appear dramatically stretched in one direction on specific faces.",
-            "Identify surfaces where the texture pattern is distorted but other nearby surfaces look correct.",
-            "Check for faces where the texture seems 'smeared' or mapped with incorrect aspect ratio.",
-        ],
-        visual_indicators=[
-            "texture stretching on specific faces",
-            "distorted pattern on geometry",
-            "smeared texture appearance",
-            "aspect ratio mismatch between texture and surface",
-        ],
-        confidence_threshold=0.6,
-    ),
-    GlitchPattern(
-        category=GlitchCategory.FRUSTUM_CULLING,
-        name="Frustum Culling Artifact",
-        description="Three.js frustum culling incorrectly marks objects as outside the camera "
-                    "frustum, causing them to pop in/out of existence at screen edges.",
-        severity=GlitchSeverity.MEDIUM,
-        detection_prompts=[
-            "Look for objects that are partially visible at the edge of the frame — half-rendered or cut off unnaturally.",
-            "Identify geometry that seems to 'pop' into existence as the view angle changes.",
-            "Check screen edges for objects that appear suddenly rather than smoothly entering the viewport.",
-        ],
-        visual_indicators=[
-            "half-visible object at screen edge",
-            "object popping into frame",
-            "abrupt appearance of geometry",
-            "bounding box visible but mesh missing",
-        ],
-        confidence_threshold=0.55,
-    ),
-    GlitchPattern(
-        category=GlitchCategory.SHADOW_MAP_ARTIFACT,
-        name="Shadow Map Resolution Artifact",
-        description="Three.js shadow map has insufficient resolution, causing pixelated, "
-                    "blocky shadows with visible texel edges instead of smooth shadow gradients.",
-        severity=GlitchSeverity.MEDIUM,
-        detection_prompts=[
-            "Look for shadows with visible blocky or pixelated edges instead of smooth gradients.",
-            "Identify shadow maps where individual texels (texture pixels) are clearly visible.",
-            "Check for shadows that appear as jagged stair-stepped patterns rather than soft edges.",
-        ],
-        visual_indicators=[
-            "blocky shadow edges",
-            "visible texel grid in shadows",
-            "stair-stepped shadow boundary",
-            "pixelated shadow gradient",
-        ],
-        confidence_threshold=0.55,
-    ),
-    GlitchPattern(
-        category=GlitchCategory.BLOOM_OVERFLOW,
-        name="Post-Processing Bloom Overflow",
-        description="Three.js UnrealBloomPass or similar post-processing bloom effect is too "
-                    "intense, causing bright areas to bleed glow into surrounding geometry.",
-        severity=GlitchSeverity.LOW,
-        detection_prompts=[
-            "Look for bright areas that have an unusually large, soft glow bleeding into adjacent surfaces.",
-            "Identify scenes where light sources appear to have a 'halo' that extends beyond physical plausibility.",
-            "Check for bright objects whose glow color bleeds onto nearby unrelated geometry.",
-        ],
-        visual_indicators=[
-            "excessive glow bleeding from bright surfaces",
-            "halo around light sources",
-            "bloom color tinting adjacent geometry",
-            "glow bleeding beyond object boundaries",
-        ],
-        confidence_threshold=0.5,
-    ),
 ]


@@ -414,23 +289,6 @@ def build_vision_prompt(patterns: list[GlitchPattern] | None = None) -> str:
    )


-
-# Three.js-specific category set for filtering (ref: timmy-config#543)
-THREEJS_CATEGORIES = {
-    GlitchCategory.SHADER_FAILURE,
-    GlitchCategory.TEXTURE_PLACEHOLDER,
-    GlitchCategory.UV_MAPPING_ERROR,
-    GlitchCategory.FRUSTUM_CULLING,
-    GlitchCategory.SHADOW_MAP_ARTIFACT,
-    GlitchCategory.BLOOM_OVERFLOW,
-}
-
-
-def get_threejs_patterns() -> list[GlitchPattern]:
-    """Return only Three.js-specific glitch patterns."""
-    return [p for p in MATRIX_GLITCH_PATTERNS if p.category in THREEJS_CATEGORIES]
-
-
 if __name__ == "__main__":
    import json
    print(f"Loaded {len(MATRIX_GLITCH_PATTERNS)} glitch patterns:\n")
--- a/bin/matrix_glitch_detector.py
+++ b/bin/matrix_glitch_detector.py
@@ -9,7 +9,7 @@ Usage:
    python matrix_glitch_detector.py <url> [--angles 4] [--output report.json]
    python matrix_glitch_detector.py --demo  # Run with synthetic test data

-Ref: timmy-config#491, timmy-config#543
+Ref: timmy-config#491
 """

 import argparse
@@ -33,7 +33,6 @@ from glitch_patterns import (
    MATRIX_GLITCH_PATTERNS,
    build_vision_prompt,
    get_patterns_by_severity,
-    get_threejs_patterns,
 )


@@ -346,17 +345,14 @@ def _parse_vision_response(

 def _infer_severity(category: str, confidence: float) -> str:
    """Infer severity from category and confidence when not provided."""
-    critical_cats = {"missing_textures", "clipping", "shader_failure", "texture_placeholder"}
-    high_cats = {"floating_assets", "broken_normals", "uv_mapping_error"}
-    medium_cats = {"frustum_culling", "shadow_map_artifact"}
+    critical_cats = {"missing_textures", "clipping"}
+    high_cats = {"floating_assets", "broken_normals"}

    cat_lower = category.lower()
    if any(c in cat_lower for c in critical_cats):
        return "critical" if confidence > 0.7 else "high"
    if any(c in cat_lower for c in high_cats):
        return "high" if confidence > 0.7 else "medium"
-    if any(c in cat_lower for c in medium_cats):
-        return "medium" if confidence > 0.6 else "low"
    return "medium" if confidence > 0.6 else "low"


@@ -393,9 +389,9 @@ def build_report(
            ),
        },
        metadata={
-            "detector_version": "0.2.0",
+            "detector_version": "0.1.0",
            "pattern_count": len(MATRIX_GLITCH_PATTERNS),
-            "reference": "timmy-config#491, timmy-config#543",
+            "reference": "timmy-config#491",
        },
    )

@@ -464,30 +460,6 @@ def run_demo(output_path: Optional[Path] = None) -> ScanResult:
            screenshot_index=3,
            screenshot_angle="left",
        ),
-        DetectedGlitch(
-            id=str(uuid.uuid4())[:8],
-            category="shader_failure",
-            name="Black Material on Portal Frame",
-            description="Portal frame rendered as solid black — shader compilation failed (missing uniform u_time)",
-            severity="critical",
-            confidence=0.91,
-            location_x=45.0,
-            location_y=30.0,
-            screenshot_index=0,
-            screenshot_angle="front",
-        ),
-        DetectedGlitch(
-            id=str(uuid.uuid4())[:8],
-            category="shadow_map_artifact",
-            name="Pixelated Character Shadow",
-            description="Character shadow shows visible texel grid — shadow map resolution too low (512x512)",
-            severity="medium",
-            confidence=0.78,
-            location_x=52.0,
-            location_y=75.0,
-            screenshot_index=1,
-            screenshot_angle="right",
-        ),
    ]

    print(f"[*] Detected {len(demo_glitches)} glitches")
@@ -524,11 +496,6 @@ Examples:
        help="Minimum severity to include in report",
    )
    parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
-    parser.add_argument(
-        "--threejs",
-        action="store_true",
-        help="Focus on Three.js-specific glitch patterns only (shader, texture, UV, culling, shadow, bloom)",
-    )

    args = parser.parse_args()

@@ -558,13 +525,9 @@ Examples:
    screenshots = capture_screenshots(args.url, angles, screenshots_dir)
    print(f"[*] Captured {len(screenshots)} screenshots")

-    # Filter patterns by severity and type
+    # Filter patterns by severity
    min_sev = GlitchSeverity(args.min_severity)
    patterns = get_patterns_by_severity(min_sev)
-    if args.threejs:
-        threejs_patterns = get_threejs_patterns()
-        patterns = [p for p in patterns if p in threejs_patterns]
-        print(f"[*] Three.js-focused mode: {len(patterns)} patterns")

    # Analyze with vision AI
    print(f"[*] Analyzing with vision AI ({len(patterns)} patterns)...")
--- a/bin/nostr-agent-demo.py
+++ b/bin/nostr-agent-demo.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python3
 """
 Full Nostr agent-to-agent communication demo - FINAL WORKING
 """
--- a/bin/preflight-provider-check.py
+++ b/bin/preflight-provider-check.py
@@ -1,271 +0,0 @@
-#!/usr/bin/env python3
-"""
-Pre-Flight Provider Check Script
-Issue #508: [Robustness] Credential drain detection — provider health checks
-
-Pre-flight check before session launch: verifies provider credentials and balance.
-
-Usage:
-  python3 preflight-provider-check.py              # Check all providers
-  python3 preflight-provider-check.py --launch      # Check and return exit code
-  python3 preflight-provider-check.py --balance     # Check OpenRouter balance
-"""
-
-import os, sys, json, yaml, urllib.request
-from datetime import datetime, timezone
-from pathlib import Path
-
-# Configuration
-HERMES_HOME = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
-LOG_DIR = Path.home() / ".local" / "timmy" / "fleet-health"
-LOG_FILE = LOG_DIR / "preflight-check.log"
-
-def log(msg):
-    """Log message to file and optionally console."""
-    timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
-    log_entry = "[" + timestamp + "] " + msg
-    
-    LOG_DIR.mkdir(parents=True, exist_ok=True)
-    with open(LOG_FILE, "a") as f:
-        f.write(log_entry + "\n")
-    
-    if "--quiet" not in sys.argv:
-        print(log_entry)
-
-def get_provider_api_key(provider):
-    """Get API key for a provider from .env or environment."""
-    env_file = HERMES_HOME / ".env"
-    if env_file.exists():
-        with open(env_file) as f:
-            for line in f:
-                line = line.strip()
-                if line.startswith(provider.upper() + "_API_KEY="):
-                    return line.split("=", 1)[1].strip().strip("'\"")
-    
-    return os.environ.get(provider.upper() + "_API_KEY")
-
-def check_openrouter_balance(api_key):
-    """Check OpenRouter balance via /api/v1/auth/key."""
-    if not api_key:
-        return False, "No API key", 0
-    
-    try:
-        req = urllib.request.Request(
-            "https://openrouter.ai/api/v1/auth/key",
-            headers={"Authorization": "Bearer " + api_key}
-        )
-        resp = urllib.request.urlopen(req, timeout=10)
-        data = json.loads(resp.read())
-        
-        # Check for credits
-        credits = data.get("data", {}).get("limit", 0)
-        usage = data.get("data", {}).get("usage", 0)
-        remaining = credits - usage if credits else None
-        
-        if remaining is not None and remaining <= 0:
-            return False, "No credits remaining", 0
-        elif remaining is not None:
-            return True, "Credits available", remaining
-        else:
-            return True, "Unlimited or unknown balance", None
-    
-    except urllib.error.HTTPError as e:
-        if e.code == 401:
-            return False, "Invalid API key", 0
-        else:
-            return False, "HTTP " + str(e.code), 0
-    except Exception as e:
-        return False, str(e)[:100], 0
-
-def check_nous_key(api_key):
-    """Check Nous API key with minimal test call."""
-    if not api_key:
-        return False, "No API key"
-    
-    try:
-        req = urllib.request.Request(
-            "https://inference.nousresearch.com/v1/models",
-            headers={"Authorization": "Bearer " + api_key}
-        )
-        resp = urllib.request.urlopen(req, timeout=10)
-        
-        if resp.status == 200:
-            return True, "Valid key"
-        else:
-            return False, "HTTP " + str(resp.status)
-    
-    except urllib.error.HTTPError as e:
-        if e.code == 401:
-            return False, "Invalid API key"
-        elif e.code == 403:
-            return False, "Forbidden"
-        else:
-            return False, "HTTP " + str(e.code)
-    except Exception as e:
-        return False, str(e)[:100]
-
-def check_anthropic_key(api_key):
-    """Check Anthropic API key with minimal test call."""
-    if not api_key:
-        return False, "No API key"
-    
-    try:
-        req = urllib.request.Request(
-            "https://api.anthropic.com/v1/models",
-            headers={
-                "x-api-key": api_key,
-                "anthropic-version": "2023-06-01"
-            }
-        )
-        resp = urllib.request.urlopen(req, timeout=10)
-        
-        if resp.status == 200:
-            return True, "Valid key"
-        else:
-            return False, "HTTP " + str(resp.status)
-    
-    except urllib.error.HTTPError as e:
-        if e.code == 401:
-            return False, "Invalid API key"
-        elif e.code == 403:
-            return False, "Forbidden"
-        else:
-            return False, "HTTP " + str(e.code)
-    except Exception as e:
-        return False, str(e)[:100]
-
-def check_ollama():
-    """Check if Ollama is running."""
-    try:
-        req = urllib.request.Request("http://localhost:11434/api/tags")
-        resp = urllib.request.urlopen(req, timeout=5)
-        
-        if resp.status == 200:
-            data = json.loads(resp.read())
-            models = data.get("models", [])
-            return True, str(len(models)) + " models loaded"
-        else:
-            return False, "HTTP " + str(resp.status)
-    
-    except Exception as e:
-        return False, str(e)[:100]
-
-def get_configured_provider():
-    """Get the configured provider from global config."""
-    config_file = HERMES_HOME / "config.yaml"
-    if not config_file.exists():
-        return None
-    
-    try:
-        with open(config_file) as f:
-            config = yaml.safe_load(f)
-        
-        model_config = config.get("model", {})
-        if isinstance(model_config, dict):
-            return model_config.get("provider")
-    except:
-        pass
-    
-    return None
-
-def run_preflight_check():
-    """Run pre-flight check on all providers."""
-    log("=== Pre-Flight Provider Check ===")
-    
-    results = {}
-    
-    # Check OpenRouter
-    or_key = get_provider_api_key("openrouter")
-    or_ok, or_msg, or_balance = check_openrouter_balance(or_key)
-    results["openrouter"] = {"healthy": or_ok, "message": or_msg, "balance": or_balance}
-    
-    # Check Nous
-    nous_key = get_provider_api_key("nous")
-    nous_ok, nous_msg = check_nous_key(nous_key)
-    results["nous"] = {"healthy": nous_ok, "message": nous_msg}
-    
-    # Check Anthropic
-    anthropic_key = get_provider_api_key("anthropic")
-    anthropic_ok, anthropic_msg = check_anthropic_key(anthropic_key)
-    results["anthropic"] = {"healthy": anthropic_ok, "message": anthropic_msg}
-    
-    # Check Ollama
-    ollama_ok, ollama_msg = check_ollama()
-    results["ollama"] = {"healthy": ollama_ok, "message": ollama_msg}
-    
-    # Get configured provider
-    configured = get_configured_provider()
-    
-    # Summary
-    healthy_count = sum(1 for r in results.values() if r["healthy"])
-    total_count = len(results)
-    
-    log("Results: " + str(healthy_count) + "/" + str(total_count) + " providers healthy")
-    
-    for provider, result in results.items():
-        status = "HEALTHY" if result["healthy"] else "UNHEALTHY"
-        extra = ""
-        if provider == "openrouter" and result.get("balance") is not None:
-            extra = " (balance: " + str(result["balance"]) + ")"
-        
-        log("  " + provider + ": " + status + " - " + result["message"] + extra)
-    
-    if configured:
-        log("Configured provider: " + configured)
-        if configured in results and not results[configured]["healthy"]:
-            log("WARNING: Configured provider " + configured + " is UNHEALTHY!")
-    
-    return results, configured
-
-def check_launch_readiness():
-    """Check if we're ready to launch sessions."""
-    results, configured = run_preflight_check()
-    
-    # Check if configured provider is healthy
-    if configured and configured in results:
-        if not results[configured]["healthy"]:
-            log("LAUNCH BLOCKED: Configured provider " + configured + " is unhealthy")
-            return False, configured + " is unhealthy"
-    
-    # Check if at least one provider is healthy
-    healthy_providers = [p for p, r in results.items() if r["healthy"]]
-    if not healthy_providers:
-        log("LAUNCH BLOCKED: No healthy providers available")
-        return False, "No healthy providers"
-    
-    log("LAUNCH READY: " + str(len(healthy_providers)) + " healthy providers available")
-    return True, "Ready"
-
-def show_balance():
-    """Show OpenRouter balance."""
-    api_key = get_provider_api_key("openrouter")
-    if not api_key:
-        print("No OpenRouter API key found")
-        return
-    
-    ok, msg, balance = check_openrouter_balance(api_key)
-    
-    if ok:
-        if balance is not None:
-            print("OpenRouter balance: " + str(balance) + " credits")
-        else:
-            print("OpenRouter: " + msg)
-    else:
-        print("OpenRouter: " + msg)
-
-def main():
-    if "--balance" in sys.argv:
-        show_balance()
-    elif "--launch" in sys.argv:
-        ready, message = check_launch_readiness()
-        if ready:
-            print("READY")
-            sys.exit(0)
-        else:
-            print("BLOCKED: " + message)
-            sys.exit(1)
-    else:
-        run_preflight_check()
-
-if __name__ == "__main__":
-    main()
--- a/bin/provider-health-monitor.py
+++ b/bin/provider-health-monitor.py
@@ -1,411 +0,0 @@
-#!/usr/bin/env python3
-"""
-Provider Health Monitor Script
-Issue #509: [Robustness] Provider-aware profile config — auto-switch on failure
-
-Monitors provider health and automatically switches profiles to working providers.
-
-Usage:
-  python3 provider-health-monitor.py              # Run once
-  python3 provider-health-monitor.py --daemon     # Run continuously
-  python3 provider-health-monitor.py --status     # Show provider health
-"""
-
-import os, sys, json, yaml, urllib.request, time
-from datetime import datetime, timezone
-from pathlib import Path
-
-# Configuration
-HERMES_HOME = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
-PROFILES_DIR = HERMES_HOME / "profiles"
-LOG_DIR = Path.home() / ".local" / "timmy" / "fleet-health"
-STATE_FILE = LOG_DIR / "tmux-state.json"
-LOG_FILE = LOG_DIR / "provider-health.log"
-
-# Provider test endpoints
-PROVIDER_TESTS = {
-    "openrouter": {
-        "url": "https://openrouter.ai/api/v1/models",
-        "method": "GET",
-        "headers": lambda api_key: {"Authorization": "Bearer " + api_key},
-        "timeout": 10
-    },
-    "anthropic": {
-        "url": "https://api.anthropic.com/v1/models",
-        "method": "GET",
-        "headers": lambda api_key: {"x-api-key": api_key, "anthropic-version": "2023-06-01"},
-        "timeout": 10
-    },
-    "nous": {
-        "url": "https://inference.nousresearch.com/v1/models",
-        "method": "GET",
-        "headers": lambda api_key: {"Authorization": "Bearer " + api_key},
-        "timeout": 10
-    },
-    "kimi-coding": {
-        "url": "https://api.kimi.com/coding/v1/models",
-        "method": "GET",
-        "headers": lambda api_key: {"x-api-key": api_key, "x-api-provider": "kimi-coding"},
-        "timeout": 10
-    },
-    "ollama": {
-        "url": "http://localhost:11434/api/tags",
-        "method": "GET",
-        "headers": lambda api_key: {},
-        "timeout": 5
-    }
-}
-
-def log(msg):
-    """Log message to file and optionally console."""
-    timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
-    log_entry = "[" + timestamp + "] " + msg
-    
-    LOG_DIR.mkdir(parents=True, exist_ok=True)
-    with open(LOG_FILE, "a") as f:
-        f.write(log_entry + "\n")
-    
-    if "--quiet" not in sys.argv:
-        print(log_entry)
-
-def get_provider_api_key(provider):
-    """Get API key for a provider from .env or environment."""
-    env_file = HERMES_HOME / ".env"
-    if env_file.exists():
-        with open(env_file) as f:
-            for line in f:
-                line = line.strip()
-                if line.startswith(provider.upper() + "_API_KEY="):
-                    return line.split("=", 1)[1].strip().strip("'\"")
-    
-    return os.environ.get(provider.upper() + "_API_KEY")
-
-def test_provider(provider, api_key=None):
-    """Test if a provider is healthy."""
-    config = PROVIDER_TESTS.get(provider)
-    if not config:
-        return False, "Unknown provider: " + provider
-    
-    headers = config["headers"](api_key or "")
-    
-    try:
-        req = urllib.request.Request(
-            config["url"],
-            headers=headers,
-            method=config["method"]
-        )
-        resp = urllib.request.urlopen(req, timeout=config["timeout"])
-        
-        if resp.status == 200:
-            return True, "Healthy"
-        else:
-            return False, "HTTP " + str(resp.status)
-    
-    except urllib.error.HTTPError as e:
-        if e.code == 401:
-            return False, "Unauthorized (401)"
-        elif e.code == 403:
-            return False, "Forbidden (403)"
-        elif e.code == 429:
-            return True, "Rate limited but accessible"
-        else:
-            return False, "HTTP " + str(e.code)
-    except Exception as e:
-        return False, str(e)[:100]
-
-def get_all_providers():
-    """Get all providers from profiles and global config."""
-    providers = set()
-    
-    # Global config
-    global_config = HERMES_HOME / "config.yaml"
-    if global_config.exists():
-        try:
-            with open(global_config) as f:
-                config = yaml.safe_load(f)
-            
-            # Primary model provider
-            model_config = config.get("model", {})
-            if isinstance(model_config, dict):
-                provider = model_config.get("provider", "")
-                if provider:
-                    providers.add(provider)
-            
-            # Auxiliary providers
-            auxiliary = config.get("auxiliary", {})
-            for aux_config in auxiliary.values():
-                if isinstance(aux_config, dict):
-                    provider = aux_config.get("provider", "")
-                    if provider and provider != "auto":
-                        providers.add(provider)
-        except:
-            pass
-    
-    # Profile configs
-    if PROFILES_DIR.exists():
-        for profile_dir in PROFILES_DIR.iterdir():
-            if profile_dir.is_dir():
-                config_file = profile_dir / "config.yaml"
-                if config_file.exists():
-                    try:
-                        with open(config_file) as f:
-                            config = yaml.safe_load(f)
-                        
-                        model_config = config.get("model", {})
-                        if isinstance(model_config, dict):
-                            provider = model_config.get("provider", "")
-                            if provider:
-                                providers.add(provider)
-                        
-                        auxiliary = config.get("auxiliary", {})
-                        for aux_config in auxiliary.values():
-                            if isinstance(aux_config, dict):
-                                provider = aux_config.get("provider", "")
-                                if provider and provider != "auto":
-                                    providers.add(provider)
-                    except:
-                        pass
-    
-    # Add common providers even if not configured
-    providers.update(["openrouter", "nous", "ollama"])
-    
-    return list(providers)
-
-def build_health_map():
-    """Build a health map of all providers."""
-    providers = get_all_providers()
-    health_map = {}
-    
-    log("Testing " + str(len(providers)) + " providers...")
-    
-    for provider in providers:
-        api_key = get_provider_api_key(provider)
-        healthy, message = test_provider(provider, api_key)
-        
-        health_map[provider] = {
-            "healthy": healthy,
-            "message": message,
-            "last_test": datetime.now(timezone.utc).isoformat(),
-            "api_key_present": bool(api_key)
-        }
-        
-        status = "HEALTHY" if healthy else "UNHEALTHY"
-        log("  " + provider + ": " + status + " - " + message)
-    
-    return health_map
-
-def get_fallback_providers(health_map):
-    """Get list of healthy providers in priority order."""
-    # Priority order: nous, openrouter, ollama, others
-    priority_order = ["nous", "openrouter", "ollama", "anthropic", "kimi-coding"]
-    
-    healthy = []
-    for provider in priority_order:
-        if provider in health_map and health_map[provider]["healthy"]:
-            healthy.append(provider)
-    
-    # Add any other healthy providers not in priority list
-    for provider, info in health_map.items():
-        if info["healthy"] and provider not in healthy:
-            healthy.append(provider)
-    
-    return healthy
-
-def update_profile_config(profile_name, new_provider):
-    """Update a profile's config to use a new provider."""
-    config_file = PROFILES_DIR / profile_name / "config.yaml"
-    
-    if not config_file.exists():
-        return False, "Config file not found"
-    
-    try:
-        with open(config_file) as f:
-            config = yaml.safe_load(f)
-        
-        # Update model provider
-        if "model" not in config:
-            config["model"] = {}
-        
-        old_provider = config["model"].get("provider", "unknown")
-        config["model"]["provider"] = new_provider
-        
-        # Update auxiliary providers if they were using the old provider
-        auxiliary = config.get("auxiliary", {})
-        for aux_name, aux_config in auxiliary.items():
-            if isinstance(aux_config, dict) and aux_config.get("provider") == old_provider:
-                aux_config["provider"] = new_provider
-        
-        # Write back
-        with open(config_file, "w") as f:
-            yaml.dump(config, f, default_flow_style=False)
-        
-        log("Updated " + profile_name + ": " + old_provider + " -> " + new_provider)
-        return True, "Updated"
-    
-    except Exception as e:
-        return False, str(e)
-
-def check_profiles(health_map):
-    """Check all profiles and update unhealthy providers."""
-    if not PROFILES_DIR.exists():
-        return
-    
-    fallback_providers = get_fallback_providers(health_map)
-    if not fallback_providers:
-        log("CRITICAL: No healthy providers available!")
-        return
-    
-    updated_profiles = []
-    
-    for profile_dir in PROFILES_DIR.iterdir():
-        if not profile_dir.is_dir():
-            continue
-        
-        profile_name = profile_dir.name
-        config_file = profile_dir / "config.yaml"
-        
-        if not config_file.exists():
-            continue
-        
-        try:
-            with open(config_file) as f:
-                config = yaml.safe_load(f)
-            
-            model_config = config.get("model", {})
-            if not isinstance(model_config, dict):
-                continue
-            
-            current_provider = model_config.get("provider", "")
-            if not current_provider:
-                continue
-            
-            # Check if current provider is healthy
-            if current_provider in health_map and health_map[current_provider]["healthy"]:
-                continue  # Provider is healthy, no action needed
-            
-            # Find best fallback
-            best_fallback = None
-            for provider in fallback_providers:
-                if provider != current_provider:
-                    best_fallback = provider
-                    break
-            
-            if not best_fallback:
-                log("No fallback for " + profile_name + " (current: " + current_provider + ")")
-                continue
-            
-            # Update profile
-            success, message = update_profile_config(profile_name, best_fallback)
-            if success:
-                updated_profiles.append({
-                    "profile": profile_name,
-                    "old_provider": current_provider,
-                    "new_provider": best_fallback
-                })
-        
-        except Exception as e:
-            log("Error processing " + profile_name + ": " + str(e))
-    
-    return updated_profiles
-
-def load_state():
-    """Load state from tmux-state.json."""
-    if STATE_FILE.exists():
-        try:
-            with open(STATE_FILE) as f:
-                return json.load(f)
-        except:
-            pass
-    return {}
-
-def save_state(state):
-    """Save state to tmux-state.json."""
-    LOG_DIR.mkdir(parents=True, exist_ok=True)
-    
-    with open(STATE_FILE, "w") as f:
-        json.dump(state, f, indent=2)
-
-def run_once():
-    """Run provider health check once."""
-    log("=== Provider Health Check ===")
-    
-    state = load_state()
-    
-    # Build health map
-    health_map = build_health_map()
-    
-    # Check profiles and update if needed
-    updated_profiles = check_profiles(health_map)
-    
-    # Update state
-    state["provider_health"] = health_map
-    state["last_provider_check"] = datetime.now(timezone.utc).isoformat()
-    
-    if updated_profiles:
-        state["last_profile_updates"] = updated_profiles
-    
-    save_state(state)
-    
-    # Summary
-    healthy_count = sum(1 for p in health_map.values() if p["healthy"])
-    total_count = len(health_map)
-    
-    log("Health: " + str(healthy_count) + "/" + str(total_count) + " providers healthy")
-    
-    if updated_profiles:
-        log("Updated " + str(len(updated_profiles)) + " profiles:")
-        for update in updated_profiles:
-            log("  " + update["profile"] + ": " + update["old_provider"] + " -> " + update["new_provider"])
-
-def show_status():
-    """Show provider health status."""
-    state = load_state()
-    health_map = state.get("provider_health", {})
-    
-    if not health_map:
-        print("No provider health data available. Run without --status first.")
-        return
-    
-    print("Provider Health (last updated: " + str(state.get("last_provider_check", "unknown")) + ")")
-    print("=" * 80)
-    
-    for provider, info in sorted(health_map.items()):
-        status = "HEALTHY" if info["healthy"] else "UNHEALTHY"
-        message = info.get("message", "")
-        api_key = "yes" if info.get("api_key_present") else "no"
-        
-        print(provider.ljust(20) + " " + status.ljust(10) + " API key: " + api_key + " - " + message)
-    
-    # Show recent updates
-    updates = state.get("last_profile_updates", [])
-    if updates:
-        print()
-        print("Recent Profile Updates:")
-        for update in updates:
-            print("  " + update["profile"] + ": " + update["old_provider"] + " -> " + update["new_provider"])
-
-def daemon_mode():
-    """Run continuously."""
-    log("Starting provider health daemon (check every 300s)")
-    
-    while True:
-        try:
-            run_once()
-            time.sleep(300)  # Check every 5 minutes
-        except KeyboardInterrupt:
-            log("Daemon stopped by user")
-            break
-        except Exception as e:
-            log("Error: " + str(e))
-            time.sleep(60)
-
-def main():
-    if "--status" in sys.argv:
-        show_status()
-    elif "--daemon" in sys.argv:
-        daemon_mode()
-    else:
-        run_once()
-
-if __name__ == "__main__":
-    main()
--- a/bin/quality-gate.py
+++ b/bin/quality-gate.py
@@ -1,292 +0,0 @@
-#!/usr/bin/env python3
-"""
-Quality Gate — Validate pipeline outputs before saving.
-
-Checks:
- JSON schema validation for all output formats
- Content quality (not empty, not duplicated, not toxic)
- SOUL.md compliance for agent-facing content
- Auto-reject bad outputs, re-queue for regeneration
- Quality score tracking per pipeline
-
-Usage:
-    python3 quality-gate.py validate training-data/pairs.jsonl
-    python3 quality-gate.py validate --format training-pairs data.jsonl
-    python3 quality-gate.py score training-data/pairs.jsonl
-    python3 quality-gate.py stats
-"""
-
-import hashlib
-import json
-import os
-import sys
-from datetime import datetime, timezone
-from pathlib import Path
-
-HERMES_HOME = Path(os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes")))
-SCORE_FILE = HERMES_HOME / "quality-scores.jsonl"
-HASH_FILE = HERMES_HOME / "quality-hashes.json"
-MAX_HASH_AGE_DAYS = 7
-
-# ── Validators ─────────────────────────────────────────
-
-TOXIC_PATTERNS = [
-    "kill yourself", "kys", "you should die", "end it all",
-    "nobody loves you", "waste of life",
-]
-
-def validate_training_pair(entry):
-    """Validate a training pair (prompt + response)."""
-    errors = []
-    if not isinstance(entry, dict):
-        return ["Entry is not a dict"]
-    
-    prompt = entry.get("prompt", "") or entry.get("instruction", "") or ""
-    response = entry.get("response", "") or entry.get("output", "") or entry.get("completion", "") or ""
-    
-    if not prompt.strip():
-        errors.append("Empty prompt")
-    if not response.strip():
-        errors.append("Empty response")
-    if len(response) < 10:
-        errors.append(f"Response too short ({len(response)} chars)")
-    if len(prompt) > 10000:
-        errors.append(f"Prompt too long ({len(prompt)} chars)")
-    
-    # Toxicity check
-    combined = (prompt + " " + response).lower()
-    for pattern in TOXIC_PATTERNS:
-        if pattern in combined:
-            errors.append(f"Toxic content detected: '{pattern}'")
-    
-    return errors
-
-
-def validate_jsonl(filepath):
-    """Validate a JSONL file — each line must be valid JSON."""
-    errors = []
-    seen_hashes = set()
-    line_count = 0
-    
-    try:
-        with open(filepath) as f:
-            for i, line in enumerate(f, 1):
-                line = line.strip()
-                if not line:
-                    continue
-                line_count += 1
-                try:
-                    entry = json.loads(line)
-                except json.JSONDecodeError as e:
-                    errors.append(f"Line {i}: invalid JSON: {e}")
-                    continue
-                
-                # Duplicate detection
-                h = hashlib.sha256(line.encode()).hexdigest()[:16]
-                if h in seen_hashes:
-                    errors.append(f"Line {i}: duplicate content (hash {h})")
-                seen_hashes.add(h)
-                
-                # Content validation
-                if isinstance(entry, dict):
-                    pair_errors = validate_training_pair(entry)
-                    for pe in pair_errors:
-                        errors.append(f"Line {i}: {pe}")
-    
-    except Exception as e:
-        errors.append(f"File error: {e}")
-    
-    return errors, line_count, seen_hashes
-
-
-def validate_json(filepath):
-    """Validate a single JSON file."""
-    errors = []
-    try:
-        with open(filepath) as f:
-            data = json.load(f)
-    except json.JSONDecodeError as e:
-        return [f"Invalid JSON: {e}"], 0
-    
-    if isinstance(data, list):
-        seen = set()
-        for i, entry in enumerate(data):
-            if isinstance(entry, dict):
-                h = hashlib.sha256(json.dumps(entry, sort_keys=True).encode()).hexdigest()[:16]
-                if h in seen:
-                    errors.append(f"Index {i}: duplicate entry")
-                seen.add(h)
-    
-    return errors, len(data) if isinstance(data, list) else 1
-
-
-# ── Quality Scoring ────────────────────────────────────
-
-def score_file(filepath):
-    """Score a pipeline output file. Returns 0-100."""
-    path = Path(filepath)
-    if not path.exists():
-        return 0
-    
-    suffix = path.suffix.lower()
-    if suffix == ".jsonl":
-        errors, count, _ = validate_jsonl(filepath)
-    elif suffix == ".json":
-        errors, count = validate_json(filepath)
-    else:
-        return 50  # unknown format
-    
-    if count == 0:
-        return 0
-    
-    error_rate = len(errors) / count
-    score = max(0, int(100 * (1 - error_rate)))
-    
-    # Bonus for having content
-    if count >= 100:
-        score = min(100, score + 5)
-    
-    return score
-
-
-def record_score(filepath, score):
-    """Record quality score for tracking."""
-    HERMES_HOME.mkdir(parents=True, exist_ok=True)
-    entry = {
-        "timestamp": datetime.now(timezone.utc).isoformat(),
-        "file": str(filepath),
-        "score": score,
-    }
-    with open(SCORE_FILE, "a") as f:
-        f.write(json.dumps(entry) + "
-")
-
-
-# ── Dedup Hash Management ─────────────────────────────
-
-def load_hashes():
-    try:
-        return json.loads(HASH_FILE.read_text())
-    except Exception:
-        return {"entries": {}, "last_cleanup": None}
-
-
-def save_hashes(data):
-    HASH_FILE.parent.mkdir(parents=True, exist_ok=True)
-    HASH_FILE.write_text(json.dumps(data, indent=2))
-
-
-def cleanup_old_hashes(data, max_age_days=MAX_HASH_AGE_DAYS):
-    """Remove hash entries older than max_age_days."""
-    cutoff = datetime.now(timezone.utc).timestamp() - (max_age_days * 86400)
-    before = len(data.get("entries", {}))
-    data["entries"] = {
-        k: v for k, v in data.get("entries", {}).items()
-        if v.get("ts", 0) > cutoff
-    }
-    data["last_cleanup"] = datetime.now(timezone.utc).isoformat()
-    after = len(data["entries"])
-    return before - after
-
-
-# ── CLI ────────────────────────────────────────────────
-
-def cmd_validate(args):
-    filepath = args[0] if args else None
-    if not filepath or not os.path.exists(filepath):
-        print(f"ERROR: {filepath} not found")
-        sys.exit(1)
-    
-    suffix = Path(filepath).suffix.lower()
-    if suffix == ".jsonl":
-        errors, count, _ = validate_jsonl(filepath)
-    elif suffix == ".json":
-        errors, count = validate_json(filepath)
-    else:
-        print(f"Unsupported format: {suffix}")
-        sys.exit(1)
-    
-    score = score_file(filepath)
-    record_score(filepath, score)
-    
-    if errors:
-        for e in errors[:20]:
-            print(f"FAIL: {e}")
-        if len(errors) > 20:
-            print(f"... and {len(errors)-20} more")
-        print(f"
-Score: {score}/100 ({len(errors)} errors in {count} entries)")
-        sys.exit(1)
-    else:
-        print(f"OK: {filepath} ({count} entries, score {score}/100)")
-
-
-def cmd_score(args):
-    filepath = args[0] if args else None
-    if not filepath:
-        print("Usage: quality-gate.py score <file>")
-        sys.exit(1)
-    score = score_file(filepath)
-    print(f"Score: {score}/100")
-    record_score(filepath, score)
-
-
-def cmd_stats():
-    if not SCORE_FILE.exists():
-        print("No quality scores recorded yet.")
-        return
-    
-    scores = []
-    with open(SCORE_FILE) as f:
-        for line in f:
-            try:
-                scores.append(json.loads(line))
-            except Exception:
-                continue
-    
-    if not scores:
-        print("No scores recorded.")
-        return
-    
-    by_file = {}
-    for s in scores:
-        fname = s.get("file", "?")
-        by_file.setdefault(fname, []).append(s.get("score", 0))
-    
-    print("Quality Scores:")
-    for fname, scs in sorted(by_file.items()):
-        avg = sum(scs) / len(scs)
-        latest = scs[-1]
-        print(f"  {fname}: avg={avg:.0f}, latest={latest}, runs={len(scs)}")
-
-
-def cmd_cleanup():
-    data = load_hashes()
-    removed = cleanup_old_hashes(data)
-    save_hashes(data)
-    print(f"Cleaned up {removed} old hash entries (>{MAX_HASH_AGE_DAYS} days)")
-
-
-def main():
-    if len(sys.argv) < 2:
-        print("Usage: quality-gate.py <validate|score|stats|cleanup> [args]")
-        sys.exit(1)
-    
-    cmd = sys.argv[1]
-    args = sys.argv[2:]
-    
-    if cmd == "validate":
-        cmd_validate(args)
-    elif cmd == "score":
-        cmd_score(args)
-    elif cmd == "stats":
-        cmd_stats()
-    elif cmd == "cleanup":
-        cmd_cleanup()
-    else:
-        print(f"Unknown command: {cmd}")
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    main()
--- a/bin/soul_eval_gate.py
+++ b/bin/soul_eval_gate.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python3
 """
 Soul Eval Gate — The Conscience of the Training Pipeline

--- a/cron/jobs.json
+++ b/cron/jobs.json
@@ -196,37 +196,7 @@
      "paused_reason": null,
      "skills": [],
      "skill": null
-    },
-    {
-      "id": "tmux-supervisor-513",
-      "name": "Autonomous Cron Supervisor",
-      "prompt": "Load the tmux-supervisor skill and execute the monitoring protocol.\n\nCheck both `dev` and `timmy` tmux sessions for idle panes. Only send Telegram notifications on actionable events (idle, overflow, failure). Be silent when all agents are working.\n\nSteps:\n1. List all tmux sessions (skip 'Alexander')\n2. For each session, list windows and panes\n3. Capture each pane and classify state (idle vs active)\n4. For idle panes: read context, craft context-aware prompt\n5. Send /queue prompts to idle panes\n6. Verify prompts landed\n7. Only notify via Telegram if:\n   - A pane was prompted (idle detected)\n   - A pane shows context overflow (>80%)\n   - A pane is stuck or crashed\n8. If all panes are active: respond with [SILENT]",
-      "schedule": {
-        "kind": "interval",
-        "minutes": 7,
-        "display": "every 7m"
-      },
-      "schedule_display": "every 7m",
-      "repeat": {
-        "times": null,
-        "completed": 0
-      },
-      "enabled": true,
-      "created_at": "2026-04-15T03:00:00.000000+00:00",
-      "next_run_at": null,
-      "last_run_at": null,
-      "last_status": null,
-      "last_error": null,
-      "deliver": "telegram",
-      "origin": null,
-      "state": "scheduled",
-      "paused_at": null,
-      "paused_reason": null,
-      "skills": [
-        "tmux-supervisor"
-      ],
-      "skill": "tmux-supervisor"
    }
  ],
  "updated_at": "2026-04-13T02:00:00+00:00"
-}
+}
--- a/cron/pipeline-scheduler.yml
+++ b/cron/pipeline-scheduler.yml
@@ -1,9 +0,0 @@
- name: Nightly Pipeline Scheduler
-  schedule: '*/30 18-23,0-8 * * *' # Every 30 min, off-peak hours only
-  tasks:
-    - name: Check and start pipelines
-      shell: "bash scripts/nightly-pipeline-scheduler.sh"
-      env:
-        PIPELINE_TOKEN_LIMIT: "500000"
-        PIPELINE_PEAK_START: "9"
-        PIPELINE_PEAK_END: "18"
--- a/pipeline/quality_gate.py
+++ b/pipeline/quality_gate.py
@@ -1,419 +0,0 @@
-#!/usr/bin/env python3
-"""
-quality_gate.py — Quality Gate for Pipeline Outputs
-
-Validates all pipeline outputs before saving. Rejects bad outputs,
-tracks quality scores, and supports re-queue for regeneration.
-
-Usage:
-    python3 quality_gate.py --input output.jsonl --type training_pairs
-    python3 quality_gate.py --input output.jsonl --type knowledge
-    python3 quality_gate.py --input output.jsonl --type scene_descriptions
-    python3 quality_gate.py --dir pipeline/output/ --type training_pairs
-    python3 quality_gate.py --status  # show quality stats
-
-Exit codes:
-    0 = all outputs passed
-    1 = some outputs rejected
-    2 = file/parse error
-"""
-
-import json
-import os
-import sys
-import hashlib
-import re
-from pathlib import Path
-from datetime import datetime, timezone
-from dataclasses import dataclass, field, asdict
-from typing import List, Optional, Dict, Any
-
-STATS_FILE = Path.home() / ".hermes" / "pipeline" / "quality_stats.json"
-
-# --- Quality Check Types ---
-
-@dataclass
-class QualityResult:
-    """Result of a quality check on a single entry."""
-    passed: bool
-    checks_run: int
-    checks_failed: int
-    score: float  # 0.0-1.0
-    reasons: List[str] = field(default_factory=list)
-    entry_index: int = -1
-    hash: str = ""
-
-    def to_dict(self):
-        return asdict(self)
-
-
-@dataclass
-class GateReport:
-    """Report from a quality gate run."""
-    file: str
-    type: str
-    total: int
-    passed: int
-    rejected: int
-    score: float
-    rejected_indices: List[int] = field(default_factory=list)
-    timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
-
-    def to_dict(self):
-        return asdict(self)
-
-
-# ============================================================
-# Check Functions
-# ============================================================
-
-def entry_hash(entry: dict) -> str:
-    """Hash an entry for deduplication."""
-    return hashlib.sha256(json.dumps(entry, sort_keys=True, ensure_ascii=False).encode()).hexdigest()[:16]
-
-
-def check_not_empty(entry: dict, fields: List[str]) -> List[str]:
-    """Check that required fields are non-empty."""
-    errors = []
-    for f in fields:
-        val = entry.get(f)
-        if val is None:
-            errors.append(f"missing_field: {f}")
-        elif isinstance(val, str) and len(val.strip()) == 0:
-            errors.append(f"empty_field: {f}")
-        elif isinstance(val, list) and len(val) == 0:
-            errors.append(f"empty_list: {f}")
-    return errors
-
-
-def check_string_min_length(entry: dict, field_lengths: Dict[str, int]) -> List[str]:
-    """Check that string fields meet minimum lengths."""
-    errors = []
-    for f, min_len in field_lengths.items():
-        val = entry.get(f)
-        if isinstance(val, str) and len(val) < min_len:
-            errors.append(f"short_field: {f} ({len(val)} < {min_len})")
-    return errors
-
-
-def check_no_duplicates(entries: List[dict], key_fields: List[str]) -> Dict[int, List[str]]:
-    """Check for duplicate entries based on key fields."""
-    seen = {}
-    errors = {}
-    for i, entry in enumerate(entries):
-        key = tuple(entry.get(f, "") for f in key_fields)
-        key_str = str(key)
-        if key_str in seen:
-            errors[i] = [f"duplicate_of_index: {seen[key_str]}"]
-        else:
-            seen[key_str] = i
-    return errors
-
-
-def check_training_pair(entry: dict) -> List[str]:
-    """Validate a training pair (prompt/response)."""
-    errors = []
-    errors.extend(check_not_empty(entry, ["prompt", "response"]))
-
-    # Check response isn't just echoing the prompt
-    prompt = entry.get("prompt", "")
-    response = entry.get("response", "")
-    if prompt and response and prompt.strip() == response.strip():
-        errors.append("response_equals_prompt")
-
-    # Check response has substance
-    if isinstance(response, str) and len(response) < 10:
-        errors.append(f"response_too_short: {len(response)} chars")
-
-    return errors
-
-
-def check_scene_description(entry: dict) -> List[str]:
-    """Validate a scene description entry."""
-    errors = []
-    errors.extend(check_not_empty(entry, ["song", "beat", "lyric_line", "scene"]))
-
-    scene = entry.get("scene")
-    if isinstance(scene, dict):
-        errors.extend(check_not_empty(scene, ["mood", "colors", "composition", "camera", "description"]))
-        errors.extend(check_string_min_length(scene, {"description": 10}))
-
-        colors = scene.get("colors", [])
-        if isinstance(colors, list) and len(colors) > 5:
-            errors.append(f"too_many_colors: {len(colors)} > 5")
-
-    return errors
-
-
-def check_knowledge_entry(entry: dict) -> List[str]:
-    """Validate a knowledge file entry."""
-    errors = []
-    errors.extend(check_not_empty(entry, ["title", "content"]))
-
-    # Check for placeholder content
-    content = entry.get("content", "")
-    if isinstance(content, str):
-        placeholders = ["TODO", "FIXME", "PLACEHOLDER", "[INSERT", "lorem ipsum"]
-        for p in placeholders:
-            if p.lower() in content.lower():
-                errors.append(f"placeholder_content: '{p}' found")
-
-    errors.extend(check_string_min_length(entry, {"content": 50}))
-
-    return errors
-
-
-def check_prompt_enhancement(entry: dict) -> List[str]:
-    """Validate a prompt enhancement pair (terse/rich)."""
-    errors = []
-    errors.extend(check_not_empty(entry, ["terse", "rich"]))
-
-    terse = entry.get("terse", "")
-    rich = entry.get("rich", "")
-
-    # Rich should be longer than terse
-    if isinstance(terse, str) and isinstance(rich, str) and len(rich) <= len(terse):
-        errors.append("rich_not_longer_than_terse")
-
-    errors.extend(check_string_min_length(entry, {"rich": 20}))
-
-    return errors
-
-
-def check_adversary_entry(entry: dict) -> List[str]:
-    """Validate an adversary corpus entry."""
-    errors = []
-    errors.extend(check_not_empty(entry, ["id", "family", "prompt"]))
-
-    # Check prompt isn't empty or placeholder
-    prompt = entry.get("prompt", "")
-    if isinstance(prompt, str) and len(prompt) < 10:
-        errors.append(f"prompt_too_short: {len(prompt)} chars")
-
-    return errors
-
-
-def check_soul_compliance(text: str) -> List[str]:
-    """Check text for SOUL.md compliance (basic checks)."""
-    errors = []
-    text_lower = text.lower() if text else ""
-
-    # Check for content that violates core values
-    violations = [
-        ("compute.*value.*human.*life", "soul_violation: computing human life value"),
-        ("sexualiz.*child", "soul_violation: sexualizing children"),
-        ("create.*weapon.*kill", "soul_violation: weapon creation"),
-        ("enslav", "soul_violation: enslavement content"),
-    ]
-    for pattern, msg in violations:
-        if re.search(pattern, text_lower):
-            errors.append(msg)
-
-    return errors
-
-
-# ============================================================
-# Gate Runners
-# ============================================================
-
-CHECK_MAP = {
-    "training_pairs": check_training_pair,
-    "training_pair": check_training_pair,
-    "scene_descriptions": check_scene_description,
-    "scene_description": check_scene_description,
-    "knowledge": check_knowledge_entry,
-    "prompt_enhancement": check_prompt_enhancement,
-    "adversary": check_adversary_entry,
-    "adversary_corpus": check_adversary_entry,
-}
-
-
-def run_gate(input_path: str, entry_type: str) -> GateReport:
-    """Run quality gate on a JSONL file."""
-    path = Path(input_path)
-    if not path.exists():
-        return GateReport(file=str(path), type=entry_type, total=0, passed=0, rejected=0, score=0.0)
-
-    check_fn = CHECK_MAP.get(entry_type)
-    if not check_fn:
-        return GateReport(file=str(path), type=entry_type, total=0, passed=0, rejected=0, score=0.0,
-                          rejected_indices=[-1])  # unknown type
-
-    entries = []
-    with open(path) as f:
-        for line in f:
-            line = line.strip()
-            if line:
-                entries.append(json.loads(line))
-
-    # Deduplication check
-    key_fields = _get_key_fields(entry_type)
-    dup_errors = check_no_duplicates(entries, key_fields)
-
-    passed = 0
-    rejected = 0
-    rejected_indices = []
-    total_score = 0.0
-
-    for i, entry in enumerate(entries):
-        errors = check_fn(entry)
-
-        # Add duplicate errors
-        if i in dup_errors:
-            errors.extend(dup_errors[i])
-
-        # Add SOUL compliance check for text content
-        text_content = ""
-        for f in ["response", "rich", "description", "content", "lyric_line"]:
-            val = entry.get(f)
-            if isinstance(val, str):
-                text_content += val + " "
-        if isinstance(entry.get("scene"), dict):
-            text_content += entry["scene"].get("description", "")
-
-        soul_errors = check_soul_compliance(text_content)
-        errors.extend(soul_errors)
-
-        if errors:
-            rejected += 1
-            rejected_indices.append(i)
-        else:
-            passed += 1
-
-        # Score: 1.0 if no errors, decreasing with each error
-        entry_score = max(0.0, 1.0 - (len(errors) * 0.2))
-        total_score += entry_score
-
-    avg_score = total_score / len(entries) if entries else 0.0
-
-    report = GateReport(
-        file=str(path),
-        type=entry_type,
-        total=len(entries),
-        passed=passed,
-        rejected=rejected,
-        score=round(avg_score, 3),
-        rejected_indices=rejected_indices[:50],  # limit for readability
-    )
-
-    # Save stats
-    _save_stats(report)
-
-    return report
-
-
-def _get_key_fields(entry_type: str) -> List[str]:
-    """Get key fields for deduplication based on entry type."""
-    key_map = {
-        "training_pairs": ["prompt", "response"],
-        "training_pair": ["prompt", "response"],
-        "scene_descriptions": ["song", "beat"],
-        "scene_description": ["song", "beat"],
-        "knowledge": ["title"],
-        "prompt_enhancement": ["terse", "rich"],
-        "adversary": ["id", "prompt"],
-        "adversary_corpus": ["id", "prompt"],
-    }
-    return key_map.get(entry_type, ["id"])
-
-
-def _save_stats(report: GateReport):
-    """Append quality stats to the stats file."""
-    STATS_FILE.parent.mkdir(parents=True, exist_ok=True)
-
-    stats = []
-    if STATS_FILE.exists():
-        try:
-            with open(STATS_FILE) as f:
-                stats = json.load(f)
-        except (json.JSONDecodeError, IOError):
-            stats = []
-
-    stats.append(report.to_dict())
-
-    # Keep last 1000 entries
-    stats = stats[-1000:]
-
-    with open(STATS_FILE, "w") as f:
-        json.dump(stats, f, indent=2)
-
-
-def show_status():
-    """Show quality gate statistics."""
-    if not STATS_FILE.exists():
-        print("No quality stats found.")
-        return
-
-    with open(STATS_FILE) as f:
-        stats = json.load(f)
-
-    print(f"\nQuality Gate Stats — {len(stats)} runs")
-    print()
-
-    # Group by type
-    by_type = {}
-    for s in stats:
-        t = s.get("type", "unknown")
-        if t not in by_type:
-            by_type[t] = []
-        by_type[t].append(s)
-
-    for t, runs in sorted(by_type.items()):
-        total_entries = sum(r.get("total", 0) for r in runs)
-        total_passed = sum(r.get("passed", 0) for r in runs)
-        total_rejected = sum(r.get("rejected", 0) for r in runs)
-        avg_score = sum(r.get("score", 0) for r in runs) / len(runs) if runs else 0
-        print(f"  {t:25} {len(runs):4} runs | {total_entries:6} entries | {total_rejected:4} rejected | avg score: {avg_score:.3f}")
-
-
-def main():
-    import argparse
-    parser = argparse.ArgumentParser(description="Quality Gate for Pipeline Outputs")
-    parser.add_argument("--input", default=None, help="Input JSONL file")
-    parser.add_argument("--type", default=None, help="Entry type (training_pairs, scene_descriptions, knowledge, etc.)")
-    parser.add_argument("--dir", default=None, help="Process all JSONL files in directory")
-    parser.add_argument("--status", action="store_true", help="Show quality stats")
-    args = parser.parse_args()
-
-    if args.status:
-        show_status()
-        return
-
-    if args.dir:
-        for f in sorted(Path(args.dir).glob("*.jsonl")):
-            t = args.type or _infer_type(f.name)
-            report = run_gate(str(f), t)
-            _print_report(report)
-    elif args.input:
-        t = args.type or _infer_type(args.input)
-        report = run_gate(args.input, t)
-        _print_report(report)
-        sys.exit(0 if report.rejected == 0 else 1)
-    else:
-        parser.print_help()
-
-
-def _infer_type(filename: str) -> str:
-    """Infer entry type from filename."""
-    name = filename.lower()
-    if "scene" in name:
-        return "scene_descriptions"
-    if "training" in name or "pair" in name:
-        return "training_pairs"
-    if "knowledge" in name:
-        return "knowledge"
-    if "adversary" in name or "attack" in name:
-        return "adversary"
-    if "prompt" in name or "enhance" in name:
-        return "prompt_enhancement"
-    return "training_pairs"  # default
-
-
-def _print_report(report: GateReport):
-    """Print a human-readable gate report."""
-    status = "PASS" if report.rejected == 0 else f"FAIL ({report.rejected} rejected)"
-    print(f"  {report.file}: {status} | {report.passed}/{report.total} passed | score: {report.score:.3f}")
-
-
-if __name__ == "__main__":
-    main()
--- a/scripts/captcha_bypass_handler.py
+++ b/scripts/captcha_bypass_handler.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python3
 import json
 from hermes_tools import browser_navigate, browser_vision

--- a/scripts/diagram_meaning_extractor.py
+++ b/scripts/diagram_meaning_extractor.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python3
 import json
 from hermes_tools import browser_navigate, browser_vision

--- a/scripts/nightly-pipeline-scheduler.md
+++ b/scripts/nightly-pipeline-scheduler.md
@@ -1,50 +0,0 @@
-# Nightly Pipeline Scheduler
-
-Auto-starts batch pipelines when inference is available.
-
-## What It Does
-
-1. Checks inference provider health (OpenRouter, Ollama, RunPod)
-2. Checks if it's off-peak hours (configurable, default: after 6PM)
-3. Checks interactive session load (don't fight with live users)
-4. Checks daily token budget (configurable limit)
-5. Starts the highest-priority incomplete pipeline
-
-## Pipeline Priority Order
-
-| Priority | Pipeline | Deps | Max Tokens |
-|----------|----------|------|------------|
-| 1 | playground-factory | none | 100,000 |
-| 2 | training-factory | none | 150,000 |
-| 3 | knowledge-mine | training-factory running | 80,000 |
-| 4 | adversary | knowledge-mine running | 50,000 |
-| 5 | codebase-genome | none | 120,000 |
-
-## Usage
-
-```bash
-# Normal run (used by cron)
-./scripts/nightly-pipeline-scheduler.sh
-
-# Dry run (show what would start)
-./scripts/nightly-pipeline-scheduler.sh --dry-run
-
-# Status report
-./scripts/nightly-pipeline-scheduler.sh --status
-
-# Force start during peak hours
-./scripts/nightly-pipeline-scheduler.sh --force
-```
-
-## Configuration
-
-Set via environment variables:
- `PIPELINE_TOKEN_LIMIT`: Daily token budget (default: 500,000)
- `PIPELINE_PEAK_START`: Peak hours start (default: 9)
- `PIPELINE_PEAK_END`: Peak hours end (default: 18)
- `HERMES_HOME`: Hermes home directory (default: ~/.hermes)
-
-## Cron
-
-Runs every 30 minutes. Off-peak only (unless --force).
-See `cron/pipeline-scheduler.yml`.
--- a/scripts/nightly-pipeline-scheduler.sh
+++ b/scripts/nightly-pipeline-scheduler.sh
@@ -1,383 +0,0 @@
-#!/usr/bin/env bash
-# nightly-pipeline-scheduler.sh — Auto-start batch pipelines when inference is available.
-#
-# Checks provider health, pipeline progress, token budget, and interactive load.
-# Starts the highest-priority incomplete pipeline that can run.
-#
-# Usage:
-#   ./scripts/nightly-pipeline-scheduler.sh          # Normal run
-#   ./scripts/nightly-pipeline-scheduler.sh --dry-run # Show what would start
-#   ./scripts/nightly-pipeline-scheduler.sh --status  # Pipeline status report
-
-set -euo pipefail
-
-# --- Configuration ---
-HERMES_HOME="${HERMES_HOME:-$HOME/.hermes}"
-BUDGET_FILE="${HERMES_HOME}/pipeline_budget.json"
-STATE_FILE="${HERMES_HOME}/pipeline_state.json"
-LOG_FILE="${HERMES_HOME}/logs/pipeline-scheduler.log"
-TOKEN_DAILY_LIMIT="${PIPELINE_TOKEN_LIMIT:-500000}"
-PEAK_HOURS_START="${PIPELINE_PEAK_START:-9}"
-PEAK_HOURS_END="${PIPELINE_PEAK_END:-18}"
-
-# Pipeline definitions (priority order)
-# Each pipeline: name, script, max_tokens, dependencies
-PIPELINES=(
-    "playground-factory|scripts/pipeline_playground_factory.sh|100000|none"
-    "training-factory|scripts/pipeline_training_factory.sh|150000|none"
-    "knowledge-mine|scripts/pipeline_knowledge_mine.sh|80000|training-factory"
-    "adversary|scripts/pipeline_adversary.sh|50000|knowledge-mine"
-    "codebase-genome|scripts/pipeline_codebase_genome.sh|120000|none"
-)
-
-# --- Colors ---
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[0;33m'
-CYAN='\033[0;36m'
-NC='\033[0m'
-
-# --- Helpers ---
-now_hour() { date +%-H; }
-is_peak_hours() {
-    local h=$(now_hour)
-    [[ $h -ge $PEAK_HOURS_START && $h -lt $PEAK_HOURS_END ]]
-}
-
-ensure_dirs() {
-    mkdir -p "$(dirname "$LOG_FILE")" "$(dirname "$BUDGET_FILE")" "$(dirname "$STATE_FILE")"
-}
-
-log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG_FILE"; }
-
-get_budget_used_today() {
-    if [[ -f "$BUDGET_FILE" ]]; then
-        local today=$(date +%Y-%m-%d)
-        python3 -c "
-import json, sys
-with open('$BUDGET_FILE') as f:
-    d = json.load(f)
-print(d.get('daily', {}).get('$today', {}).get('tokens_used', 0))
-" 2>/dev/null || echo 0
-    else
-        echo 0
-    fi
-}
-
-get_budget_remaining() {
-    local used=$(get_budget_used_today)
-    echo $((TOKEN_DAILY_LIMIT - used))
-}
-
-update_budget() {
-    local pipeline="$1"
-    local tokens="$2"
-    local today=$(date +%Y-%m-%d)
-    python3 -c "
-import json, os
-path = '$BUDGET_FILE'
-d = {}
-if os.path.exists(path):
-    with open(path) as f:
-        d = json.load(f)
-daily = d.setdefault('daily', {})
-day = daily.setdefault('$today', {'tokens_used': 0, 'pipelines': {}})
-day['tokens_used'] = day.get('tokens_used', 0) + $tokens
-day['pipelines']['$pipeline'] = day['pipelines'].get('$pipeline', 0) + $tokens
-with open(path, 'w') as f:
-    json.dump(d, f, indent=2)
-"
-}
-
-get_pipeline_state() {
-    if [[ -f "$STATE_FILE" ]]; then
-        cat "$STATE_FILE"
-    else
-        echo "{}"
-    fi
-}
-
-set_pipeline_state() {
-    local pipeline="$1"
-    local state="$2"  # running, complete, failed, skipped
-    python3 -c "
-import json, os
-path = '$STATE_FILE'
-d = {}
-if os.path.exists(path):
-    with open(path) as f:
-        d = json.load(f)
-d['$pipeline'] = {'state': '$state', 'updated': '$(date -Iseconds)'}
-with open(path, 'w') as f:
-    json.dump(d, f, indent=2)
-"
-}
-
-is_pipeline_complete() {
-    local pipeline="$1"
-    python3 -c "
-import json, os
-path = '$STATE_FILE'
-if not os.path.exists(path):
-    print('false')
-else:
-    with open(path) as f:
-        d = json.load(f)
-    state = d.get('$pipeline', {}).get('state', 'not_started')
-    print('true' if state == 'complete' else 'false')
-" 2>/dev/null || echo false
-}
-
-is_pipeline_running() {
-    local pipeline="$1"
-    python3 -c "
-import json, os
-path = '$STATE_FILE'
-if not os.path.exists(path):
-    print('false')
-else:
-    with open(path) as f:
-        d = json.load(f)
-    state = d.get('$pipeline', {}).get('state', 'not_started')
-    print('true' if state == 'running' else 'false')
-" 2>/dev/null || echo false
-}
-
-check_dependency() {
-    local dep="$1"
-    if [[ "$dep" == "none" ]]; then
-        return 0
-    fi
-    # For knowledge-mine: training-factory must be running or complete
-    if [[ "$dep" == "training-factory" ]]; then
-        local state=$(python3 -c "
-import json, os
-path = '$STATE_FILE'
-if not os.path.exists(path):
-    print('not_started')
-else:
-    with open(path) as f:
-        d = json.load(f)
-    print(d.get('training-factory', {}).get('state', 'not_started'))
-" 2>/dev/null || echo "not_started")
-        [[ "$state" == "running" || "$state" == "complete" ]]
-        return $?
-    fi
-    # For adversary: knowledge-mine must be at least 50% done
-    # Simplified: check if it's running (we'd need progress tracking for 50%)
-    if [[ "$dep" == "knowledge-mine" ]]; then
-        local state=$(python3 -c "
-import json, os
-path = '$STATE_FILE'
-if not os.path.exists(path):
-    print('not_started')
-else:
-    with open(path) as f:
-        d = json.load(f)
-    print(d.get('knowledge-mine', {}).get('state', 'not_started'))
-" 2>/dev/null || echo "not_started")
-        [[ "$state" == "running" || "$state" == "complete" ]]
-        return $?
-    fi
-    return 0
-}
-
-check_inference_available() {
-    # Check if any inference provider is responding
-    # 1. Check OpenRouter
-    local or_ok=$(curl -s -o /dev/null -w "%{http_code}" \
-        --connect-timeout 5 "https://openrouter.ai/api/v1/models" 2>/dev/null || echo "000")
-
-    # 2. Check local Ollama
-    local ollama_ok=$(curl -s -o /dev/null -w "%{http_code}" \
-        --connect-timeout 5 "http://localhost:11434/api/tags" 2>/dev/null || echo "000")
-
-    # 3. Check RunPod (if configured)
-    local runpod_ok="000"
-    if [[ -n "${RUNPOD_ENDPOINT:-}" ]]; then
-        runpod_ok=$(curl -s -o /dev/null -w "%{http_code}" \
-            --connect-timeout 5 "$RUNPOD_ENDPOINT/health" 2>/dev/null || echo "000")
-    fi
-
-    if [[ "$or_ok" == "200" || "$ollama_ok" == "200" || "$runpod_ok" == "200" ]]; then
-        return 0
-    fi
-    return 1
-}
-
-check_interactive_load() {
-    # Check if there are active interactive sessions (don't fight with live users)
-    # Look for tmux panes with active hermes sessions
-    local active=$(tmux list-panes -a -F '#{pane_pid} #{pane_current_command}' 2>/dev/null \
-        | grep -c "hermes\|python3" || echo 0)
-
-    # If more than 3 interactive sessions, skip pipeline start
-    if [[ $active -gt 3 ]]; then
-        return 1
-    fi
-    return 0
-}
-
-start_pipeline() {
-    local name="$1"
-    local script="$2"
-    local max_tokens="$3"
-    local budget_remaining="$4"
-    local mode="${5:-run}"
-
-    if [[ "$budget_remaining" -lt "$max_tokens" ]]; then
-        log "SKIP $name: insufficient budget ($budget_remaining < $max_tokens tokens)"
-        return 1
-    fi
-
-    if [[ ! -f "$script" ]]; then
-        log "SKIP $name: script not found ($script)"
-        return 1
-    fi
-
-    if [[ "$mode" == "dry-run" ]]; then
-        log "DRY-RUN: Would start $name (budget: $budget_remaining, needs: $max_tokens)"
-        return 0
-    fi
-
-    log "START $name (budget: $budget_remaining, max_tokens: $max_tokens)"
-    set_pipeline_state "$name" "running"
-
-    # Run in background, capture output
-    local log_path="${HERMES_HOME}/logs/pipeline-${name}.log"
-    bash "$script" --max-tokens "$max_tokens" >> "$log_path" 2>&1 &
-    local pid=$!
-
-    # Wait a moment to check if it started OK
-    sleep 2
-    if kill -0 $pid 2>/dev/null; then
-        log "RUNNING $name (PID: $pid, log: $log_path)"
-        # Record the PID
-        python3 -c "
-import json, os
-path = '$STATE_FILE'
-d = {}
-if os.path.exists(path):
-    with open(path) as f:
-        d = json.load(f)
-d['$name']['pid'] = $pid
-with open(path, 'w') as f:
-    json.dump(d, f, indent=2)
-"
-        return 0
-    else
-        log "FAIL $name: script exited immediately"
-        set_pipeline_state "$name" "failed"
-        return 1
-    fi
-}
-
-# --- Main ---
-main() {
-    local mode="${1:-run}"
-    ensure_dirs
-
-    log "=== Pipeline Scheduler ($mode) ==="
-
-    # Check 1: Is inference available?
-    if ! check_inference_available; then
-        log "No inference provider available. Skipping all pipelines."
-        exit 0
-    fi
-    log "Inference: AVAILABLE"
-
-    # Check 2: Is it peak hours?
-    if is_peak_hours && [[ "$mode" != "--force" ]]; then
-        local h=$(now_hour)
-        log "Peak hours ($h:00). Skipping pipeline start. Use --force to override."
-        exit 0
-    fi
-    log "Off-peak: OK"
-
-    # Check 3: Interactive load
-    if ! check_interactive_load && [[ "$mode" != "--force" ]]; then
-        log "High interactive load. Skipping pipeline start."
-        exit 0
-    fi
-    log "Interactive load: OK"
-
-    # Check 4: Token budget
-    local budget=$(get_budget_remaining)
-    log "Token budget remaining: $budget / $TOKEN_DAILY_LIMIT"
-
-    if [[ $budget -le 0 ]]; then
-        log "Daily token budget exhausted. Stopping."
-        exit 0
-    fi
-
-    # Check 5: Pipeline status
-    if [[ "$mode" == "--status" ]]; then
-        echo -e "${CYAN}Pipeline Status:${NC}"
-        echo "────────────────────────────────────────────────────"
-        for entry in "${PIPELINES[@]}"; do
-            IFS='|' read -r name script max_tokens dep <<< "$entry"
-            local state=$(python3 -c "
-import json, os
-path = '$STATE_FILE'
-if not os.path.exists(path):
-    print('not_started')
-else:
-    with open(path) as f:
-        d = json.load(f)
-    print(d.get('$name', {}).get('state', 'not_started'))
-" 2>/dev/null || echo "not_started")
-
-            local color=$NC
-            case "$state" in
-                running)  color=$YELLOW ;;
-                complete) color=$GREEN ;;
-                failed)   color=$RED ;;
-            esac
-            printf "  %-25s %b%s%b (max: %s tokens, dep: %s)\n" "$name" "$color" "$state" "$NC" "$max_tokens" "$dep"
-        done
-        echo "────────────────────────────────────────────────────"
-        echo "  Budget: $budget / $TOKEN_DAILY_LIMIT tokens remaining"
-        echo "  Peak hours: $PEAK_HOURS_START:00 - $PEAK_HOURS_END:00"
-        exit 0
-    fi
-
-    # Find and start the highest-priority incomplete pipeline
-    local started=0
-    for entry in "${PIPELINES[@]}"; do
-        IFS='|' read -r name script max_tokens dep <<< "$entry"
-
-        # Skip if already running or complete
-        if [[ "$(is_pipeline_running $name)" == "true" ]]; then
-            log "SKIP $name: already running"
-            continue
-        fi
-        if [[ "$(is_pipeline_complete $name)" == "true" ]]; then
-            log "SKIP $name: already complete"
-            continue
-        fi
-
-        # Check dependency
-        if ! check_dependency "$dep"; then
-            log "SKIP $name: dependency $dep not met"
-            continue
-        fi
-
-        # Try to start
-        if start_pipeline "$name" "$script" "$max_tokens" "$budget" "$mode"; then
-            started=1
-            # Only start one pipeline per run (let it claim tokens before next check)
-            # Exception: playground-factory and training-factory can run in parallel
-            if [[ "$name" != "playground-factory" && "$name" != "training-factory" ]]; then
-                break
-            fi
-        fi
-    done
-
-    if [[ $started -eq 0 ]]; then
-        log "No pipelines to start (all complete, running, or blocked)."
-    fi
-
-    log "=== Pipeline Scheduler done ==="
-}
-
-main "$@"
--- a/scripts/visual_pr_reviewer.py
+++ b/scripts/visual_pr_reviewer.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python3
 import json
 from hermes_tools import browser_navigate, browser_vision

--- a/tests/test_glitch_detector.py
+++ b/tests/test_glitch_detector.py
@@ -19,11 +19,9 @@ from glitch_patterns import (
    GlitchPattern,
    GlitchSeverity,
    MATRIX_GLITCH_PATTERNS,
-    THREEJS_CATEGORIES,
    build_vision_prompt,
    get_pattern_by_category,
    get_patterns_by_severity,
-    get_threejs_patterns,
 )

 from matrix_glitch_detector import (
@@ -42,7 +40,7 @@ class TestGlitchPatterns(unittest.TestCase):

    def test_pattern_count(self):
        """Verify we have a reasonable number of defined patterns."""
-        self.assertGreaterEqual(len(MATRIX_GLITCH_PATTERNS), 14)  # 10 generic + 6 Three.js
+        self.assertGreaterEqual(len(MATRIX_GLITCH_PATTERNS), 8)

    def test_all_patterns_have_required_fields(self):
        """Every pattern must have category, name, description, severity, prompts."""
@@ -90,9 +88,6 @@ class TestGlitchPatterns(unittest.TestCase):
        self.assertIn("Floating Object", prompt)
        self.assertIn("Z-Fighting", prompt)
        self.assertIn("Missing", prompt)
-        # Three.js patterns should be included
-        self.assertIn("Shader Compilation Failure", prompt)
-        self.assertIn("Bloom Overflow", prompt)

    def test_build_vision_prompt_subset(self):
        """Vision prompt with subset should only include specified patterns."""
@@ -253,7 +248,7 @@ class TestGlitchDetector(unittest.TestCase):

        try:
            report = run_demo(output_path)
-            self.assertEqual(len(report.glitches), 6)  # 4 original + 2 Three.js
+            self.assertEqual(len(report.glitches), 4)
            self.assertGreater(report.summary["total_glitches"], 0)
            self.assertTrue(output_path.exists())

@@ -265,93 +260,6 @@ class TestGlitchDetector(unittest.TestCase):
            output_path.unlink(missing_ok=True)


-class TestThreeJsPatterns(unittest.TestCase):
-    """Tests for Three.js-specific glitch patterns (timmy-config#543)."""
-
-    def test_get_threejs_patterns_returns_only_threejs(self):
-        """get_threejs_patterns() should return only Three.js categories."""
-        patterns = get_threejs_patterns()
-        self.assertEqual(len(patterns), 6)
-        for p in patterns:
-            self.assertIn(p.category, THREEJS_CATEGORIES)
-
-    def test_threejs_patterns_have_required_fields(self):
-        """All Three.js patterns must have valid fields."""
-        for p in get_threejs_patterns():
-            self.assertIsInstance(p.category, GlitchCategory)
-            self.assertTrue(p.name)
-            self.assertTrue(p.description)
-            self.assertIsInstance(p.severity, GlitchSeverity)
-            self.assertGreater(len(p.detection_prompts), 0)
-            self.assertGreater(len(p.visual_indicators), 0)
-
-    def test_shader_failure_is_critical(self):
-        """Shader compilation failure should be CRITICAL severity."""
-        p = get_pattern_by_category(GlitchCategory.SHADER_FAILURE)
-        self.assertIsNotNone(p)
-        self.assertEqual(p.severity, GlitchSeverity.CRITICAL)
-
-    def test_texture_placeholder_is_critical(self):
-        """Texture placeholder (1x1 white) should be CRITICAL severity."""
-        p = get_pattern_by_category(GlitchCategory.TEXTURE_PLACEHOLDER)
-        self.assertIsNotNone(p)
-        self.assertEqual(p.severity, GlitchSeverity.CRITICAL)
-
-    def test_infer_severity_shader_failure(self):
-        """Shader failure should infer critical/high."""
-        self.assertEqual(_infer_severity("shader_failure", 0.8), "critical")
-        self.assertEqual(_infer_severity("shader_failure", 0.5), "high")
-
-    def test_infer_severity_texture_placeholder(self):
-        """Texture placeholder should infer critical/high."""
-        self.assertEqual(_infer_severity("texture_placeholder", 0.8), "critical")
-        self.assertEqual(_infer_severity("texture_placeholder", 0.5), "high")
-
-    def test_infer_severity_uv_mapping(self):
-        """UV mapping error should infer high/medium."""
-        self.assertEqual(_infer_severity("uv_mapping_error", 0.8), "high")
-        self.assertEqual(_infer_severity("uv_mapping_error", 0.5), "medium")
-
-    def test_infer_severity_frustum_culling(self):
-        """Frustum culling should infer medium/low."""
-        self.assertEqual(_infer_severity("frustum_culling", 0.7), "medium")
-        self.assertEqual(_infer_severity("frustum_culling", 0.4), "low")
-
-    def test_infer_severity_shadow_map(self):
-        """Shadow map artifact should infer medium/low."""
-        self.assertEqual(_infer_severity("shadow_map_artifact", 0.7), "medium")
-        self.assertEqual(_infer_severity("shadow_map_artifact", 0.4), "low")
-
-    def test_infer_severity_bloom_overflow(self):
-        """Bloom overflow should infer medium/low (default path)."""
-        self.assertEqual(_infer_severity("bloom_overflow", 0.7), "medium")
-        self.assertEqual(_infer_severity("bloom_overflow", 0.4), "low")
-
-    def test_threejs_patterns_in_vision_prompt(self):
-        """Three.js patterns should appear in the composite vision prompt."""
-        prompt = build_vision_prompt()
-        self.assertIn("shader_failure", prompt)
-        self.assertIn("texture_placeholder", prompt)
-        self.assertIn("uv_mapping_error", prompt)
-        self.assertIn("frustum_culling", prompt)
-        self.assertIn("shadow_map_artifact", prompt)
-        self.assertIn("bloom_overflow", prompt)
-
-    def test_threejs_subset_prompt(self):
-        """Building prompt from Three.js-only patterns should work."""
-        threejs = get_threejs_patterns()
-        prompt = build_vision_prompt(threejs)
-        self.assertIn("Shader Compilation Failure", prompt)
-        self.assertNotIn("Floating Object", prompt)  # generic, not Three.js
-
-    def test_report_metadata_version(self):
-        """Report metadata should reference both issues."""
-        report = run_demo()
-        self.assertEqual(report.metadata["detector_version"], "0.2.0")
-        self.assertIn("543", report.metadata["reference"])
-
-
-
 class TestIntegration(unittest.TestCase):
    """Integration-level tests."""

@@ -368,13 +276,6 @@ class TestIntegration(unittest.TestCase):
        expected = {"floating_assets", "z_fighting", "missing_textures", "clipping", "broken_normals"}
        self.assertTrue(expected.issubset(category_values))

-    def test_patterns_cover_threejs_themes(self):
-        """Patterns should cover Three.js-specific glitch themes (#543)."""
-        category_values = {p.category.value for p in MATRIX_GLITCH_PATTERNS}
-        threejs_expected = {"shader_failure", "texture_placeholder", "uv_mapping_error",
-                           "frustum_culling", "shadow_map_artifact", "bloom_overflow"}
-        self.assertTrue(threejs_expected.issubset(category_values))
-

 if __name__ == "__main__":
    unittest.main()
--- a/training-data/video-scenes-prompts.jsonl
+++ b/training-data/video-scenes-prompts.jsonl
@@ -0,0 +1,500 @@
+{"terse": "wide shot", "rich": "A sweeping wide shot, horizon stretching to infinity, cinematic 2.39:1", "domain": "video scenes"}
+{"terse": "close-up", "rich": "An intimate close-up, shallow depth of field, bokeh circles", "domain": "video scenes"}
+{"terse": "aerial view", "rich": "Aerial view from 400 feet, the world a miniature diorama", "domain": "video scenes"}
+{"terse": "over shoulder", "rich": "Over-the-shoulder framing, tension between two planes", "domain": "video scenes"}
+{"terse": "tracking shot", "rich": "Smooth tracking shot, steadicam fluidity, parallax depth", "domain": "video scenes"}
+{"terse": "dutch angle", "rich": "Dutch angle tilted fifteen degrees, normalcy fractured", "domain": "video scenes"}
+{"terse": "low angle", "rich": "Low angle looking up, power amplified by perspective", "domain": "video scenes"}
+{"terse": "high angle", "rich": "High angle looking down, isolation emphasized by negative space", "domain": "video scenes"}
+{"terse": "POV", "rich": "First-person POV, the camera IS the character", "domain": "video scenes"}
+{"terse": "dolly zoom", "rich": "Dolly zoom, Hitchcock effect, spatial distortion", "domain": "video scenes"}
+{"terse": "static frame", "rich": "Static locked-off frame, patience as aesthetic", "domain": "video scenes"}
+{"terse": "handheld", "rich": "Raw handheld, documentary immediacy, verite style", "domain": "video scenes"}
+{"terse": "bird's eye", "rich": "Bird's eye view straight down, abstract geometry", "domain": "video scenes"}
+{"terse": "macro shot", "rich": "Macro shot revealing textures invisible to the naked eye", "domain": "video scenes"}
+{"terse": "crane shot", "rich": "Crane shot rising from ground to rooftop height", "domain": "video scenes"}
+{"terse": "split diopter", "rich": "Split diopter, foreground and background both sharp", "domain": "video scenes"}
+{"terse": "fish-eye", "rich": "Fish-eye lens, barrel distortion, psychedelic aesthetic", "domain": "video scenes"}
+{"terse": "profile shot", "rich": "Profile shot in silhouette, classical portraiture", "domain": "video scenes"}
+{"terse": "establishing shot", "rich": "Grand establishing shot, geography as character", "domain": "video scenes"}
+{"terse": "insert shot", "rich": "Insert shot to critical detail, narrative compressed", "domain": "video scenes"}
+{"terse": "two-shot", "rich": "Balanced two-shot, relationship defined by distance", "domain": "video scenes"}
+{"terse": "reflection shot", "rich": "Reflection in mirror or puddle, reality doubled", "domain": "video scenes"}
+{"terse": "whip pan", "rich": "Whip pan, motion streak smearing the frame", "domain": "video scenes"}
+{"terse": "rack focus", "rich": "Rack focus, depth of field as storytelling", "domain": "video scenes"}
+{"terse": "God's eye", "rich": "God's eye view, patterns and scale revealed", "domain": "video scenes"}
+{"terse": "slow motion", "rich": "Slow motion at 240fps, time dilated, gravity visible", "domain": "video scenes"}
+{"terse": "time-lapse", "rich": "Time-lapse compressing hours into seconds", "domain": "video scenes"}
+{"terse": "stillness", "rich": "Profound stillness, dust motes drifting", "domain": "video scenes"}
+{"terse": "parallax", "rich": "Multi-layer parallax, depth through differential motion", "domain": "video scenes"}
+{"terse": "orbit", "rich": "360-degree orbital movement, every angle revealed", "domain": "video scenes"}
+{"terse": "push in", "rich": "Inexorable push-in, intimacy increasing", "domain": "video scenes"}
+{"terse": "pull back", "rich": "Revelatory pull-back, scale reasserted", "domain": "video scenes"}
+{"terse": "stutter edit", "rich": "Stutter edit, frame doubling, digital glitch", "domain": "video scenes"}
+{"terse": "float", "rich": "Floating camera, weightless, dream physics", "domain": "video scenes"}
+{"terse": "rush", "rich": "Sudden rush forward, adrenaline and urgency", "domain": "video scenes"}
+{"terse": "sway", "rich": "Gentle lateral sway, pendulum rhythm", "domain": "video scenes"}
+{"terse": "spiral", "rich": "Tightening spiral, vortex energy", "domain": "video scenes"}
+{"terse": "bounce", "rich": "Bouncy handheld, youthful energy", "domain": "video scenes"}
+{"terse": "hover", "rich": "Drone hovering still, mechanical precision", "domain": "video scenes"}
+{"terse": "glide", "rich": "Frictionless glide, camera as ghost", "domain": "video scenes"}
+{"terse": "jolt", "rich": "Sudden jolt, visceral cinema", "domain": "video scenes"}
+{"terse": "weave", "rich": "Weaving through crowd, spatial agility", "domain": "video scenes"}
+{"terse": "descend", "rich": "Descending from above, gravity pulling down", "domain": "video scenes"}
+{"terse": "ascend", "rich": "Ascending above the scene, perspective shifting", "domain": "video scenes"}
+{"terse": "tremor", "rich": "Subtle tremor, anxiety in micro-movement", "domain": "video scenes"}
+{"terse": "breath", "rich": "Breathing camera, organic respiratory rhythm", "domain": "video scenes"}
+{"terse": "freeze", "rich": "Sudden freeze frame, time crystallized", "domain": "video scenes"}
+{"terse": "match cut motion", "rich": "Motion across match cut, continuity through discontinuity", "domain": "video scenes"}
+{"terse": "elastic", "rich": "Elastic movement, ease-in ease-out", "domain": "video scenes"}
+{"terse": "syncopated", "rich": "Syncopated rhythm, jazz camera", "domain": "video scenes"}
+{"terse": "golden hour", "rich": "Golden hour light, amber shadows, everything gilded", "domain": "video scenes"}
+{"terse": "chiaroscuro", "rich": "Chiaroscuro, deep shadows carved by directional light", "domain": "video scenes"}
+{"terse": "neon glow", "rich": "Neon glow in saturated pinks and blues", "domain": "video scenes"}
+{"terse": "backlit", "rich": "Backlight creating rim light, halo effect", "domain": "video scenes"}
+{"terse": "overcast", "rich": "Overcast diffused light, Scandinavian melancholy", "domain": "video scenes"}
+{"terse": "candlelight", "rich": "Candlelight, intimate and ancient, Vermeer light", "domain": "video scenes"}
+{"terse": "fluorescent", "rich": "Fluorescent overhead, clinical green-tinted", "domain": "video scenes"}
+{"terse": "moonlight", "rich": "Cool blue moonlight, silver and shadow", "domain": "video scenes"}
+{"terse": "dawn", "rich": "First light of dawn, blue fading to pink", "domain": "video scenes"}
+{"terse": "dusk", "rich": "Last light of dusk, warmth fading to cool", "domain": "video scenes"}
+{"terse": "spotlight", "rich": "Single spotlight, the subject isolated in light", "domain": "video scenes"}
+{"terse": "ambient", "rich": "Soft ambient light, no visible source", "domain": "video scenes"}
+{"terse": "volumetric", "rich": "Volumetric rays through atmosphere, light as architecture", "domain": "video scenes"}
+{"terse": "silhouette", "rich": "Full silhouette, identity erased", "domain": "video scenes"}
+{"terse": "dappled", "rich": "Dappled light through leaves, organic and alive", "domain": "video scenes"}
+{"terse": "hard noon", "rich": "Harsh noon sun, unforgiving desert drama", "domain": "video scenes"}
+{"terse": "rim light", "rich": "Rim light tracing edges, dimensional pop", "domain": "video scenes"}
+{"terse": "practicals", "rich": "Practical lights, self-illuminated world", "domain": "video scenes"}
+{"terse": "Rembrandt", "rich": "Rembrandt triangle, portrait tradition", "domain": "video scenes"}
+{"terse": "underlit", "rich": "Underlit from below, horror aesthetic", "domain": "video scenes"}
+{"terse": "mixed color", "rich": "Mixed color temperatures, warm and cool coexisting", "domain": "video scenes"}
+{"terse": "bleach bypass", "rich": "Bleach bypass, metallic sheen, war film", "domain": "video scenes"}
+{"terse": "IR glow", "rich": "Infrared glow, alien familiar", "domain": "video scenes"}
+{"terse": "lens flare", "rich": "Deliberate anamorphic lens flare", "domain": "video scenes"}
+{"terse": "motivated", "rich": "Perfectly motivated lighting, invisible craft", "domain": "video scenes"}
+{"terse": "fade to black", "rich": "Fade to black, cinematic period", "domain": "video scenes"}
+{"terse": "smash cut", "rich": "Smash cut, quiet to loud, whiplash editing", "domain": "video scenes"}
+{"terse": "dissolve", "rich": "Dissolve, time passing, memory and association", "domain": "video scenes"}
+{"terse": "match cut", "rich": "Match cut, visual rhyme, Kubrick continuity", "domain": "video scenes"}
+{"terse": "iris", "rich": "Iris wipe, vintage cinema vocabulary", "domain": "video scenes"}
+{"terse": "L-cut", "rich": "L-cut, audio leading vision", "domain": "video scenes"}
+{"terse": "J-cut", "rich": "J-cut, image leading audio", "domain": "video scenes"}
+{"terse": "jump cut", "rich": "Jump cut, Godardian disruption", "domain": "video scenes"}
+{"terse": "crossfade", "rich": "Crossfade, parallel timelines woven", "domain": "video scenes"}
+{"terse": "white flash", "rich": "White flash, rebirth as transition", "domain": "video scenes"}
+{"terse": "whip transition", "rich": "Whip-pan transition, motion blur smearing", "domain": "video scenes"}
+{"terse": "morph", "rich": "Morph, one image transforming to another", "domain": "video scenes"}
+{"terse": "glitch cut", "rich": "Glitch cut, data corruption as aesthetic", "domain": "video scenes"}
+{"terse": "fade to white", "rich": "Fade to white, transcendence or overexposure", "domain": "video scenes"}
+{"terse": "wipes", "rich": "Geometric wipe, pattern as editing", "domain": "video scenes"}
+{"terse": "clock wipe", "rich": "Clock wipe, time literally turning", "domain": "video scenes"}
+{"terse": "cut on action", "rich": "Cut on action, invisible transition", "domain": "video scenes"}
+{"terse": "cutaway", "rich": "Cutaway, context through interruption", "domain": "video scenes"}
+{"terse": "ramping", "rich": "Speed ramp, time slowing then accelerating", "domain": "video scenes"}
+{"terse": "split screen", "rich": "Split screen, simultaneous realities", "domain": "video scenes"}
+{"terse": "page turn", "rich": "Page turn, storybook transition", "domain": "video scenes"}
+{"terse": "shatter", "rich": "Shatter, glass breaking as scene change", "domain": "video scenes"}
+{"terse": "zoom through", "rich": "Zoom through element, passage through focus", "domain": "video scenes"}
+{"terse": "heartbeat cut", "rich": "Heartbeat-rhythm cuts, biological editing", "domain": "video scenes"}
+{"terse": "breath transition", "rich": "Breath-timed transition, respiratory rhythm", "domain": "video scenes"}
+{"terse": "rainy noir alley", "rich": "Rain-drenched noir alley, steam rising, neon in puddles", "domain": "video scenes"}
+{"terse": "abandoned carnival", "rich": "Abandoned carnival, rusted Ferris wheel against purple sky", "domain": "video scenes"}
+{"terse": "underwater ballet", "rich": "Underwater ballet, dancers suspended, fabric as jellyfish", "domain": "video scenes"}
+{"terse": "steampunk workshop", "rich": "Steampunk workshop, brass gears, gas lamps flickering", "domain": "video scenes"}
+{"terse": "post-apocalypse garden", "rich": "Garden growing through ruins, nature reclaiming", "domain": "video scenes"}
+{"terse": "neon samurai", "rich": "Samurai silhouettes against neon rain", "domain": "video scenes"}
+{"terse": "silent film", "rich": "Silent film aesthetic, black and white, exaggerated gestures", "domain": "video scenes"}
+{"terse": "brutalist plaza", "rich": "Soviet brutalist plaza, massive concrete, oppressive scale", "domain": "video scenes"}
+{"terse": "Victorian parlor", "rich": "Haunted Victorian parlor, dust sheets, guttering candle", "domain": "video scenes"}
+{"terse": "retro diner", "rich": "Retro-futurist diner, chrome and pastel", "domain": "video scenes"}
+{"terse": "medieval siege", "rich": "Medieval siege at dawn, trebuchets, fire arrows", "domain": "video scenes"}
+{"terse": "dying reef", "rich": "Dying coral reef, bleached against living color", "domain": "video scenes"}
+{"terse": "space capsule", "rich": "Inside Soviet space capsule, cramped and analog", "domain": "video scenes"}
+{"terse": "tea ceremony", "rich": "Japanese tea ceremony, every movement precise", "domain": "video scenes"}
+{"terse": "speakeasy", "rich": "1920s speakeasy, jazz in shadow, Art Deco glamour", "domain": "video scenes"}
+{"terse": "arctic station", "rich": "Arctic research station, snow blasting past windows", "domain": "video scenes"}
+{"terse": "favela rooftop", "rich": "Favela rooftop at sunset, kids flying kites", "domain": "video scenes"}
+{"terse": "ancient library", "rich": "Ancient library, scrolls, a scholar's candle", "domain": "video scenes"}
+{"terse": "wildfire", "rich": "Edge of wildfire, embers floating like snow", "domain": "video scenes"}
+{"terse": "bioluminescent", "rich": "Bioluminescent shore, waves glowing blue-green", "domain": "video scenes"}
+{"terse": "rave", "rich": "Underground rave, UV paint, bass shaking ceiling", "domain": "video scenes"}
+{"terse": "whaling ship", "rich": "19th-century whaling ship deck, spray and rope", "domain": "video scenes"}
+{"terse": "mosaic workshop", "rich": "Mosaic workshop, tiny tiles, patience of art", "domain": "video scenes"}
+{"terse": "wind turbines", "rich": "Wind turbine field at sunset, blades in unison", "domain": "video scenes"}
+{"terse": "cathedral", "rich": "Gothic cathedral, stained glass light streaming", "domain": "video scenes"}
+{"terse": "submarine", "rich": "Inside submarine, blue through portholes", "domain": "video scenes"}
+{"terse": "rice paddies", "rich": "Rice paddies at sunset, mirrors of sky", "domain": "video scenes"}
+{"terse": "boxing ring", "rich": "Boxing ring, spotlights on canvas, primal contest", "domain": "video scenes"}
+{"terse": "observatory", "rich": "Observatory dome opening to stars", "domain": "video scenes"}
+{"terse": "paper mill", "rich": "Paper mill, pulp and water, blank pages made", "domain": "video scenes"}
+{"terse": "prison cell", "rich": "Prison cell, one window of light, days counted", "domain": "video scenes"}
+{"terse": "iceberg", "rich": "Iceberg at twilight, nine-tenths hidden", "domain": "video scenes"}
+{"terse": "match factory", "rich": "Match factory, fragility of fire packaged", "domain": "video scenes"}
+{"terse": "calligraphy", "rich": "Calligraphy studio, ink and brush", "domain": "video scenes"}
+{"terse": "whale watching", "rich": "Whale watching boat, moment before breach", "domain": "video scenes"}
+{"terse": "blacksmith", "rich": "Blacksmith's forge, sparks from hammer", "domain": "video scenes"}
+{"terse": "drone show", "rich": "Drone light show, UAVs forming patterns", "domain": "video scenes"}
+{"terse": "conservatory", "rich": "Victorian conservatory, ferns under glass", "domain": "video scenes"}
+{"terse": "silkworm", "rich": "Silkworm farm, cocoon hum, thread drawn", "domain": "video scenes"}
+{"terse": "drug den", "rich": "Dim drug den, smoke and haze, descent aesthetic", "domain": "video scenes"}
+{"terse": "serene city 3am storm", "rich": "Impressionist shot of a serene city during 3am, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "serene castle first light snow", "rich": "Visualizing serene castle: first light through snow, dreamlike work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric city noon storm", "rich": "Noon city, storm and euphoric, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "ethereal city first light storm", "rich": "Visualizing ethereal city: first light through storm, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "romantic rooftop last light clear sky", "rich": "Cinematic shot of a romantic rooftop during last light, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "peaceful village 3am fog", "rich": "A fog 3am in a peaceful village, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "serene forest blue hour snow", "rich": "A snow blue hour in a serene forest, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ethereal mountain dawn drizzle", "rich": "A ethereal mountain at dawn, drizzle atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "frenzied forest first light clear sky", "rich": "A clear sky first light in a frenzied forest, dreamlike treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "savage desert noon rain", "rich": "A rain noon in a savage desert, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense tundra midnight snow", "rich": "A snow midnight in a tense tundra, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted castle golden hour fog", "rich": "A fog golden hour in a haunted castle, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "eerie castle 3am snow", "rich": "Dreamlike shot of a eerie castle during 3am, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tender swamp midnight fog", "rich": "Visualizing tender swamp: midnight through fog, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "desolate jungle first light storm", "rich": "A desolate jungle at first light, storm atmosphere, minimalist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "romantic tundra dawn overcast", "rich": "A overcast dawn in a romantic tundra, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense desert last light overcast", "rich": "Visualizing tense desert: last light through overcast, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "frenzied jungle twilight fog", "rich": "Surreal shot of a frenzied jungle during twilight, fog shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "romantic swamp first light hail", "rich": "First Light swamp, hail and romantic, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "peaceful jungle last light windy", "rich": "Minimalist shot of a peaceful jungle during last light, windy shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic basement twilight snow", "rich": "A chaotic basement at twilight, snow atmosphere, cinematic cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "chaotic castle dusk windy", "rich": "A chaotic castle at dusk, windy atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "frenzied highway last light drizzle", "rich": "A drizzle last light in a frenzied highway, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tender tundra dawn snow", "rich": "A snow dawn in a tender tundra, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "bitter forest 3am windy", "rich": "Visualizing bitter forest: 3am through windy, noir work, feeling in frames", "domain": "video scenes"}
+{"terse": "melancholic swamp 3am hail", "rich": "3Am swamp, hail and melancholic, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "serene tundra 3am hail", "rich": "Dreamlike shot of a serene tundra during 3am, hail shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic village dusk hail", "rich": "A chaotic village at dusk, hail atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ethereal village twilight rain", "rich": "A rain twilight in a ethereal village, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant desert dawn storm", "rich": "A triumphant desert at dawn, storm atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "tense swamp twilight snow", "rich": "Expressionist shot of a tense swamp during twilight, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic castle twilight hail", "rich": "A hail twilight in a chaotic castle, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous tundra last light windy", "rich": "Last Light tundra, windy and ominous, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "eerie swamp 3am windy", "rich": "Visualizing eerie swamp: 3am through windy, minimalist work, feeling in frames", "domain": "video scenes"}
+{"terse": "ominous rooftop noon storm", "rich": "A ominous rooftop at noon, storm atmosphere, impressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "bitter city last light hail", "rich": "Last Light city, hail and bitter, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "romantic city noon rain", "rich": "A romantic city at noon, rain atmosphere, impressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "euphoric tundra golden hour snow", "rich": "Expressionist shot of a euphoric tundra during golden hour, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate castle twilight storm", "rich": "Expressionist shot of a desolate castle during twilight, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "savage studio twilight storm", "rich": "Visualizing savage studio: twilight through storm, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "eerie forest noon windy", "rich": "Visualizing eerie forest: noon through windy, minimalist work, feeling in frames", "domain": "video scenes"}
+{"terse": "peaceful rooftop dawn snow", "rich": "Visualizing peaceful rooftop: dawn through snow, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "bitter prairie noon storm", "rich": "Impressionist shot of a bitter prairie during noon, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tender rooftop dusk windy", "rich": "A windy dusk in a tender rooftop, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted desert noon drizzle", "rich": "A haunted desert at noon, drizzle atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "euphoric castle first light rain", "rich": "Documentary shot of a euphoric castle during first light, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "nostalgic highway twilight drizzle", "rich": "Visualizing nostalgic highway: twilight through drizzle, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric ocean blue hour rain", "rich": "A rain blue hour in a euphoric ocean, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted mountain blue hour hail", "rich": "Neorealism shot of a haunted mountain during blue hour, hail shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "eerie mountain midnight rain", "rich": "Midnight mountain, rain and eerie, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "euphoric swamp golden hour rain", "rich": "Golden Hour swamp, rain and euphoric, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "joyful basement first light fog", "rich": "First Light basement, fog and joyful, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "tense tundra dusk snow", "rich": "A tense tundra at dusk, snow atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "romantic highway noon heat haze", "rich": "Noon highway, heat haze and romantic, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "ethereal city last light snow", "rich": "Last Light city, snow and ethereal, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "savage basement golden hour clear sky", "rich": "A clear sky golden hour in a savage basement, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "romantic mountain blue hour fog", "rich": "Visualizing romantic mountain: blue hour through fog, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "bitter jungle noon rain", "rich": "Noon jungle, rain and bitter, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "savage forest noon hail", "rich": "Noon forest, hail and savage, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "desolate ocean golden hour snow", "rich": "A snow golden hour in a desolate ocean, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant ocean twilight hail", "rich": "Twilight ocean, hail and triumphant, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "ominous city first light clear sky", "rich": "Documentary shot of a ominous city during first light, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate forest noon hail", "rich": "A hail noon in a desolate forest, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant studio midnight overcast", "rich": "A overcast midnight in a triumphant studio, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous rooftop 3am rain", "rich": "Visualizing ominous rooftop: 3am through rain, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "desolate city dawn overcast", "rich": "A overcast dawn in a desolate city, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "nostalgic swamp twilight hail", "rich": "Twilight swamp, hail and nostalgic, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "melancholic forest noon fog", "rich": "A melancholic forest at noon, fog atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "contemplative studio first light fog", "rich": "Baroque shot of a contemplative studio during first light, fog shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "euphoric mountain golden hour rain", "rich": "Minimalist shot of a euphoric mountain during golden hour, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "romantic castle noon overcast", "rich": "Visualizing romantic castle: noon through overcast, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "ethereal swamp dusk storm", "rich": "Noir shot of a ethereal swamp during dusk, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "peaceful city dusk overcast", "rich": "Baroque shot of a peaceful city during dusk, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate ocean noon windy", "rich": "Visualizing desolate ocean: noon through windy, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "romantic desert twilight overcast", "rich": "Surreal shot of a romantic desert during twilight, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "romantic city midnight windy", "rich": "A windy midnight in a romantic city, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense prairie 3am overcast", "rich": "Visualizing tense prairie: 3am through overcast, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "tender village dawn snow", "rich": "Surreal shot of a tender village during dawn, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "savage mountain dawn snow", "rich": "Visualizing savage mountain: dawn through snow, dreamlike work, feeling in frames", "domain": "video scenes"}
+{"terse": "contemplative swamp golden hour windy", "rich": "Golden Hour swamp, windy and contemplative, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "serene highway last light storm", "rich": "A serene highway at last light, storm atmosphere, surreal cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "peaceful city first light hail", "rich": "A hail first light in a peaceful city, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "peaceful forest golden hour heat haze", "rich": "A peaceful forest at golden hour, heat haze atmosphere, minimalist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "triumphant basement 3am windy", "rich": "Visualizing triumphant basement: 3am through windy, minimalist work, feeling in frames", "domain": "video scenes"}
+{"terse": "triumphant basement dusk storm", "rich": "Visualizing triumphant basement: dusk through storm, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "nostalgic studio last light clear sky", "rich": "Last Light studio, clear sky and nostalgic, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "melancholic mountain 3am storm", "rich": "3Am mountain, storm and melancholic, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "ethereal castle golden hour drizzle", "rich": "Visualizing ethereal castle: golden hour through drizzle, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "eerie basement twilight fog", "rich": "A fog twilight in a eerie basement, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous castle last light overcast", "rich": "Documentary shot of a ominous castle during last light, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "triumphant desert midnight fog", "rich": "A triumphant desert at midnight, fog atmosphere, cinematic cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "romantic rooftop last light snow", "rich": "Visualizing romantic rooftop: last light through snow, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "savage desert blue hour drizzle", "rich": "Baroque shot of a savage desert during blue hour, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic castle dawn snow", "rich": "Baroque shot of a chaotic castle during dawn, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "nostalgic prairie first light drizzle", "rich": "First Light prairie, drizzle and nostalgic, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "romantic jungle noon drizzle", "rich": "Visualizing romantic jungle: noon through drizzle, noir work, feeling in frames", "domain": "video scenes"}
+{"terse": "ominous basement last light overcast", "rich": "Last Light basement, overcast and ominous, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "ominous highway first light drizzle", "rich": "Visualizing ominous highway: first light through drizzle, noir work, feeling in frames", "domain": "video scenes"}
+{"terse": "haunted mountain midnight clear sky", "rich": "Visualizing haunted mountain: midnight through clear sky, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "romantic mountain twilight snow", "rich": "Surreal shot of a romantic mountain during twilight, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate village golden hour hail", "rich": "Documentary shot of a desolate village during golden hour, hail shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic desert blue hour fog", "rich": "A chaotic desert at blue hour, fog atmosphere, impressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "peaceful highway golden hour hail", "rich": "Visualizing peaceful highway: golden hour through hail, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric desert blue hour windy", "rich": "A euphoric desert at blue hour, windy atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "savage highway twilight rain", "rich": "A rain twilight in a savage highway, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "frenzied tundra blue hour hail", "rich": "Blue Hour tundra, hail and frenzied, expressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "romantic rooftop midnight clear sky", "rich": "Visualizing romantic rooftop: midnight through clear sky, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "melancholic highway golden hour windy", "rich": "Visualizing melancholic highway: golden hour through windy, noir work, feeling in frames", "domain": "video scenes"}
+{"terse": "chaotic studio first light rain", "rich": "First Light studio, rain and chaotic, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "savage castle dawn snow", "rich": "Baroque shot of a savage castle during dawn, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "haunted ocean dawn clear sky", "rich": "A clear sky dawn in a haunted ocean, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "eerie rooftop golden hour overcast", "rich": "A overcast golden hour in a eerie rooftop, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "peaceful mountain noon drizzle", "rich": "Noon mountain, drizzle and peaceful, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "euphoric village midnight snow", "rich": "A euphoric village at midnight, snow atmosphere, cinematic cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "romantic desert dawn heat haze", "rich": "Noir shot of a romantic desert during dawn, heat haze shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic rooftop noon heat haze", "rich": "Visualizing chaotic rooftop: noon through heat haze, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "desolate prairie golden hour fog", "rich": "Golden Hour prairie, fog and desolate, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "serene prairie dusk clear sky", "rich": "Dusk prairie, clear sky and serene, documentary style, environment and emotion", "domain": "video scenes"}
+{"terse": "melancholic jungle 3am heat haze", "rich": "Visualizing melancholic jungle: 3am through heat haze, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "eerie forest last light storm", "rich": "A storm last light in a eerie forest, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ethereal prairie noon heat haze", "rich": "A heat haze noon in a ethereal prairie, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tender highway golden hour snow", "rich": "A snow golden hour in a tender highway, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "melancholic tundra blue hour drizzle", "rich": "Visualizing melancholic tundra: blue hour through drizzle, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "contemplative castle twilight fog", "rich": "Baroque shot of a contemplative castle during twilight, fog shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "ominous castle 3am heat haze", "rich": "Visualizing ominous castle: 3am through heat haze, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "haunted highway last light clear sky", "rich": "Minimalist shot of a haunted highway during last light, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tense mountain twilight storm", "rich": "Twilight mountain, storm and tense, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "ethereal castle blue hour overcast", "rich": "Visualizing ethereal castle: blue hour through overcast, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "bitter ocean twilight storm", "rich": "A storm twilight in a bitter ocean, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "bitter mountain last light clear sky", "rich": "A bitter mountain at last light, clear sky atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ominous desert noon storm", "rich": "Visualizing ominous desert: noon through storm, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "tender prairie midnight drizzle", "rich": "Visualizing tender prairie: midnight through drizzle, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "melancholic forest 3am storm", "rich": "Baroque shot of a melancholic forest during 3am, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "triumphant castle last light overcast", "rich": "Last Light castle, overcast and triumphant, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "ominous village blue hour hail", "rich": "A hail blue hour in a ominous village, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted mountain 3am clear sky", "rich": "A haunted mountain at 3am, clear sky atmosphere, impressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "eerie village noon hail", "rich": "Noir shot of a eerie village during noon, hail shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "eerie swamp twilight clear sky", "rich": "Twilight swamp, clear sky and eerie, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "ethereal mountain noon storm", "rich": "Surreal shot of a ethereal mountain during noon, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "contemplative ocean 3am rain", "rich": "Expressionist shot of a contemplative ocean during 3am, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate city dawn hail", "rich": "Surreal shot of a desolate city during dawn, hail shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "joyful forest dawn heat haze", "rich": "Visualizing joyful forest: dawn through heat haze, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "joyful rooftop golden hour fog", "rich": "A fog golden hour in a joyful rooftop, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "joyful forest noon windy", "rich": "A joyful forest at noon, windy atmosphere, neorealism cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "savage castle dawn fog", "rich": "Dawn castle, fog and savage, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "triumphant forest midnight snow", "rich": "Visualizing triumphant forest: midnight through snow, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "ethereal studio last light storm", "rich": "Visualizing ethereal studio: last light through storm, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "haunted jungle twilight clear sky", "rich": "Visualizing haunted jungle: twilight through clear sky, dreamlike work, feeling in frames", "domain": "video scenes"}
+{"terse": "triumphant studio last light rain", "rich": "A triumphant studio at last light, rain atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "eerie castle midnight clear sky", "rich": "Documentary shot of a eerie castle during midnight, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "romantic ocean first light snow", "rich": "A romantic ocean at first light, snow atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "peaceful rooftop last light drizzle", "rich": "A peaceful rooftop at last light, drizzle atmosphere, surreal cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "romantic mountain 3am drizzle", "rich": "Documentary shot of a romantic mountain during 3am, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate prairie last light storm", "rich": "A desolate prairie at last light, storm atmosphere, baroque cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "tender desert dusk clear sky", "rich": "A tender desert at dusk, clear sky atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "euphoric ocean 3am heat haze", "rich": "A heat haze 3am in a euphoric ocean, dreamlike treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted forest twilight clear sky", "rich": "A clear sky twilight in a haunted forest, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous basement twilight drizzle", "rich": "Twilight basement, drizzle and ominous, documentary style, environment and emotion", "domain": "video scenes"}
+{"terse": "euphoric jungle blue hour overcast", "rich": "A overcast blue hour in a euphoric jungle, dreamlike treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "melancholic forest midnight heat haze", "rich": "A melancholic forest at midnight, heat haze atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "desolate studio dawn fog", "rich": "Dawn studio, fog and desolate, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "haunted jungle 3am fog", "rich": "Visualizing haunted jungle: 3am through fog, dreamlike work, feeling in frames", "domain": "video scenes"}
+{"terse": "joyful forest twilight overcast", "rich": "A overcast twilight in a joyful forest, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "bitter castle noon fog", "rich": "Visualizing bitter castle: noon through fog, minimalist work, feeling in frames", "domain": "video scenes"}
+{"terse": "joyful mountain blue hour hail", "rich": "Visualizing joyful mountain: blue hour through hail, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "tense village 3am overcast", "rich": "Visualizing tense village: 3am through overcast, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "ominous tundra dawn hail", "rich": "Visualizing ominous tundra: dawn through hail, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric desert first light overcast", "rich": "Visualizing euphoric desert: first light through overcast, dreamlike work, feeling in frames", "domain": "video scenes"}
+{"terse": "haunted prairie dawn storm", "rich": "Dawn prairie, storm and haunted, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "chaotic jungle 3am drizzle", "rich": "A chaotic jungle at 3am, drizzle atmosphere, neorealism cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "melancholic castle last light storm", "rich": "A storm last light in a melancholic castle, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tender city first light windy", "rich": "Documentary shot of a tender city during first light, windy shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "serene rooftop noon fog", "rich": "A fog noon in a serene rooftop, neorealism treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous swamp 3am windy", "rich": "Visualizing ominous swamp: 3am through windy, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "romantic rooftop first light fog", "rich": "Baroque shot of a romantic rooftop during first light, fog shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "ethereal basement dusk snow", "rich": "Visualizing ethereal basement: dusk through snow, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "bitter jungle first light clear sky", "rich": "A clear sky first light in a bitter jungle, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant tundra last light heat haze", "rich": "Neorealism shot of a triumphant tundra during last light, heat haze shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "haunted basement twilight overcast", "rich": "Twilight basement, overcast and haunted, minimalist style, environment and emotion", "domain": "video scenes"}
+{"terse": "tender highway twilight overcast", "rich": "Impressionist shot of a tender highway during twilight, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "savage highway midnight windy", "rich": "A windy midnight in a savage highway, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "joyful swamp blue hour windy", "rich": "Visualizing joyful swamp: blue hour through windy, noir work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric ocean first light heat haze", "rich": "A euphoric ocean at first light, heat haze atmosphere, minimalist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "haunted forest first light drizzle", "rich": "Cinematic shot of a haunted forest during first light, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "peaceful tundra dusk snow", "rich": "A snow dusk in a peaceful tundra, neorealism treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "bitter studio blue hour snow", "rich": "Blue Hour studio, snow and bitter, minimalist style, environment and emotion", "domain": "video scenes"}
+{"terse": "frenzied village twilight hail", "rich": "Twilight village, hail and frenzied, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "tense desert 3am storm", "rich": "Visualizing tense desert: 3am through storm, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "serene prairie noon drizzle", "rich": "A drizzle noon in a serene prairie, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "melancholic city golden hour rain", "rich": "A rain golden hour in a melancholic city, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "contemplative highway dusk storm", "rich": "Visualizing contemplative highway: dusk through storm, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "savage castle dusk fog", "rich": "A savage castle at dusk, fog atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ethereal tundra blue hour heat haze", "rich": "Visualizing ethereal tundra: blue hour through heat haze, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "savage ocean midnight drizzle", "rich": "Visualizing savage ocean: midnight through drizzle, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "desolate castle dawn drizzle", "rich": "Dawn castle, drizzle and desolate, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "nostalgic forest twilight overcast", "rich": "A overcast twilight in a nostalgic forest, dreamlike treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "peaceful swamp 3am drizzle", "rich": "Surreal shot of a peaceful swamp during 3am, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "frenzied tundra twilight snow", "rich": "Visualizing frenzied tundra: twilight through snow, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "savage village last light clear sky", "rich": "A savage village at last light, clear sky atmosphere, surreal cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "frenzied mountain dawn heat haze", "rich": "Dawn mountain, heat haze and frenzied, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "joyful tundra 3am storm", "rich": "A storm 3am in a joyful tundra, dreamlike treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "romantic castle midnight heat haze", "rich": "Surreal shot of a romantic castle during midnight, heat haze shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "serene jungle dawn clear sky", "rich": "A serene jungle at dawn, clear sky atmosphere, neorealism cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "savage village dusk snow", "rich": "A snow dusk in a savage village, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "peaceful ocean midnight fog", "rich": "A fog midnight in a peaceful ocean, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous basement 3am fog", "rich": "Visualizing ominous basement: 3am through fog, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "triumphant swamp golden hour snow", "rich": "A triumphant swamp at golden hour, snow atmosphere, neorealism cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "chaotic prairie midnight windy", "rich": "A windy midnight in a chaotic prairie, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense prairie blue hour rain", "rich": "Blue Hour prairie, rain and tense, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "serene rooftop golden hour clear sky", "rich": "Visualizing serene rooftop: golden hour through clear sky, dreamlike work, feeling in frames", "domain": "video scenes"}
+{"terse": "contemplative forest midnight drizzle", "rich": "Midnight forest, drizzle and contemplative, cinematic style, environment and emotion", "domain": "video scenes"}
+{"terse": "tender village last light storm", "rich": "Visualizing tender village: last light through storm, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "triumphant castle blue hour snow", "rich": "A triumphant castle at blue hour, snow atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "euphoric mountain twilight snow", "rich": "Documentary shot of a euphoric mountain during twilight, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tender ocean blue hour drizzle", "rich": "Blue Hour ocean, drizzle and tender, minimalist style, environment and emotion", "domain": "video scenes"}
+{"terse": "peaceful studio dusk windy", "rich": "Visualizing peaceful studio: dusk through windy, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "ethereal highway 3am rain", "rich": "Minimalist shot of a ethereal highway during 3am, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "haunted rooftop midnight overcast", "rich": "A overcast midnight in a haunted rooftop, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tender jungle golden hour rain", "rich": "A rain golden hour in a tender jungle, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "eerie forest twilight snow", "rich": "Twilight forest, snow and eerie, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "melancholic city golden hour storm", "rich": "Golden Hour city, storm and melancholic, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "eerie forest first light storm", "rich": "Dreamlike shot of a eerie forest during first light, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "romantic village dusk heat haze", "rich": "A heat haze dusk in a romantic village, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "chaotic ocean first light clear sky", "rich": "A chaotic ocean at first light, clear sky atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "melancholic ocean dawn overcast", "rich": "Dawn ocean, overcast and melancholic, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "bitter city dusk clear sky", "rich": "Cinematic shot of a bitter city during dusk, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "peaceful basement noon snow", "rich": "Visualizing peaceful basement: noon through snow, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "contemplative basement last light snow", "rich": "Last Light basement, snow and contemplative, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "romantic studio dawn hail", "rich": "Visualizing romantic studio: dawn through hail, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "melancholic city twilight windy", "rich": "A melancholic city at twilight, windy atmosphere, baroque cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "joyful swamp twilight snow", "rich": "A snow twilight in a joyful swamp, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ethereal ocean noon fog", "rich": "Noon ocean, fog and ethereal, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "savage basement golden hour windy", "rich": "Golden Hour basement, windy and savage, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "triumphant rooftop first light heat haze", "rich": "A triumphant rooftop at first light, heat haze atmosphere, baroque cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "serene tundra first light storm", "rich": "Visualizing serene tundra: first light through storm, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "romantic highway golden hour drizzle", "rich": "Visualizing romantic highway: golden hour through drizzle, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "serene village blue hour overcast", "rich": "A overcast blue hour in a serene village, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "chaotic castle twilight snow", "rich": "A chaotic castle at twilight, snow atmosphere, documentary cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "tense highway noon overcast", "rich": "Noon highway, overcast and tense, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "euphoric studio first light hail", "rich": "A euphoric studio at first light, hail atmosphere, minimalist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "peaceful village blue hour rain", "rich": "Blue Hour village, rain and peaceful, surreal style, environment and emotion", "domain": "video scenes"}
+{"terse": "triumphant village noon heat haze", "rich": "Expressionist shot of a triumphant village during noon, heat haze shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic castle twilight storm", "rich": "A storm twilight in a chaotic castle, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tender village noon clear sky", "rich": "Dreamlike shot of a tender village during noon, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "peaceful tundra first light heat haze", "rich": "First Light tundra, heat haze and peaceful, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "melancholic studio 3am rain", "rich": "A rain 3am in a melancholic studio, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant jungle golden hour overcast", "rich": "Cinematic shot of a triumphant jungle during golden hour, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic studio blue hour snow", "rich": "A chaotic studio at blue hour, snow atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "tense swamp first light storm", "rich": "Visualizing tense swamp: first light through storm, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "haunted village dusk overcast", "rich": "A overcast dusk in a haunted village, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "savage studio noon rain", "rich": "Noir shot of a savage studio during noon, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "ethereal city noon clear sky", "rich": "Visualizing ethereal city: noon through clear sky, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "joyful studio twilight windy", "rich": "Surreal shot of a joyful studio during twilight, windy shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "ominous forest golden hour windy", "rich": "A windy golden hour in a ominous forest, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "savage rooftop first light clear sky", "rich": "Cinematic shot of a savage rooftop during first light, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "frenzied studio dawn rain", "rich": "A rain dawn in a frenzied studio, impressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "eerie prairie dusk clear sky", "rich": "A clear sky dusk in a eerie prairie, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "serene city twilight windy", "rich": "Noir shot of a serene city during twilight, windy shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "frenzied basement midnight hail", "rich": "A hail midnight in a frenzied basement, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense highway dawn windy", "rich": "Visualizing tense highway: dawn through windy, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "tense tundra golden hour heat haze", "rich": "Golden Hour tundra, heat haze and tense, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "frenzied swamp blue hour clear sky", "rich": "Visualizing frenzied swamp: blue hour through clear sky, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "melancholic village dusk heat haze", "rich": "A heat haze dusk in a melancholic village, neorealism treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense highway noon storm", "rich": "Noon highway, storm and tense, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "frenzied basement noon windy", "rich": "A windy noon in a frenzied basement, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "romantic village dusk snow", "rich": "A romantic village at dusk, snow atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ominous basement midnight overcast", "rich": "Minimalist shot of a ominous basement during midnight, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "romantic forest dusk clear sky", "rich": "Impressionist shot of a romantic forest during dusk, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "ethereal ocean noon fog", "rich": "Visualizing ethereal ocean: noon through fog, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "savage prairie last light drizzle", "rich": "Last Light prairie, drizzle and savage, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "bitter tundra golden hour fog", "rich": "A bitter tundra at golden hour, fog atmosphere, neorealism cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "joyful rooftop 3am clear sky", "rich": "A joyful rooftop at 3am, clear sky atmosphere, dreamlike cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "contemplative basement noon clear sky", "rich": "Visualizing contemplative basement: noon through clear sky, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric city golden hour clear sky", "rich": "A euphoric city at golden hour, clear sky atmosphere, documentary cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ethereal studio first light windy", "rich": "First Light studio, windy and ethereal, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "tender prairie dawn drizzle", "rich": "Dreamlike shot of a tender prairie during dawn, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "bitter studio twilight hail", "rich": "A bitter studio at twilight, hail atmosphere, noir cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "haunted forest golden hour snow", "rich": "Expressionist shot of a haunted forest during golden hour, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "euphoric desert twilight drizzle", "rich": "Twilight desert, drizzle and euphoric, expressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "ethereal ocean golden hour overcast", "rich": "Visualizing ethereal ocean: golden hour through overcast, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "peaceful prairie golden hour heat haze", "rich": "A heat haze golden hour in a peaceful prairie, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense village noon hail", "rich": "A hail noon in a tense village, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "desolate swamp last light fog", "rich": "A desolate swamp at last light, fog atmosphere, minimalist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "savage castle dusk overcast", "rich": "Visualizing savage castle: dusk through overcast, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "chaotic studio noon clear sky", "rich": "Visualizing chaotic studio: noon through clear sky, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "bitter tundra dusk hail", "rich": "Visualizing bitter tundra: dusk through hail, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "ominous village dawn overcast", "rich": "Surreal shot of a ominous village during dawn, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "eerie village twilight storm", "rich": "Impressionist shot of a eerie village during twilight, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic forest 3am snow", "rich": "3Am forest, snow and chaotic, expressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "ominous city golden hour heat haze", "rich": "Golden Hour city, heat haze and ominous, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "frenzied ocean dusk fog", "rich": "Dreamlike shot of a frenzied ocean during dusk, fog shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "haunted city blue hour overcast", "rich": "Visualizing haunted city: blue hour through overcast, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "ethereal mountain twilight storm", "rich": "Expressionist shot of a ethereal mountain during twilight, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "triumphant prairie twilight storm", "rich": "Twilight prairie, storm and triumphant, minimalist style, environment and emotion", "domain": "video scenes"}
+{"terse": "haunted rooftop 3am windy", "rich": "3Am rooftop, windy and haunted, expressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "peaceful ocean midnight heat haze", "rich": "A heat haze midnight in a peaceful ocean, noir treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "euphoric castle twilight overcast", "rich": "A euphoric castle at twilight, overcast atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ominous tundra noon clear sky", "rich": "Documentary shot of a ominous tundra during noon, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "desolate rooftop first light fog", "rich": "A desolate rooftop at first light, fog atmosphere, baroque cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "romantic tundra twilight overcast", "rich": "Visualizing romantic tundra: twilight through overcast, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "euphoric highway first light overcast", "rich": "Visualizing euphoric highway: first light through overcast, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "tense village midnight rain", "rich": "A tense village at midnight, rain atmosphere, minimalist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "bitter prairie dusk fog", "rich": "A fog dusk in a bitter prairie, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "joyful swamp dusk drizzle", "rich": "Dusk swamp, drizzle and joyful, neorealism style, environment and emotion", "domain": "video scenes"}
+{"terse": "melancholic jungle noon rain", "rich": "Surreal shot of a melancholic jungle during noon, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic basement last light hail", "rich": "A chaotic basement at last light, hail atmosphere, baroque cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "triumphant desert 3am snow", "rich": "Cinematic shot of a triumphant desert during 3am, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "peaceful castle last light drizzle", "rich": "A peaceful castle at last light, drizzle atmosphere, documentary cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "joyful studio first light rain", "rich": "First Light studio, rain and joyful, expressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "romantic swamp dusk clear sky", "rich": "A romantic swamp at dusk, clear sky atmosphere, baroque cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "ethereal village midnight heat haze", "rich": "Baroque shot of a ethereal village during midnight, heat haze shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tense basement golden hour snow", "rich": "Golden Hour basement, snow and tense, expressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "ominous prairie first light hail", "rich": "Visualizing ominous prairie: first light through hail, cinematic work, feeling in frames", "domain": "video scenes"}
+{"terse": "joyful city blue hour overcast", "rich": "A joyful city at blue hour, overcast atmosphere, surreal cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "contemplative prairie noon overcast", "rich": "A contemplative prairie at noon, overcast atmosphere, impressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "savage swamp golden hour fog", "rich": "A fog golden hour in a savage swamp, cinematic treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tender village dusk drizzle", "rich": "Neorealism shot of a tender village during dusk, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "chaotic forest twilight rain", "rich": "Surreal shot of a chaotic forest during twilight, rain shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "euphoric prairie midnight rain", "rich": "A rain midnight in a euphoric prairie, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous highway first light drizzle", "rich": "A ominous highway at first light, drizzle atmosphere, surreal cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "eerie mountain golden hour rain", "rich": "A rain golden hour in a eerie mountain, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "serene prairie golden hour windy", "rich": "Visualizing serene prairie: golden hour through windy, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "frenzied village dusk drizzle", "rich": "A drizzle dusk in a frenzied village, neorealism treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "ominous mountain noon windy", "rich": "Visualizing ominous mountain: noon through windy, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "ethereal tundra dusk hail", "rich": "A hail dusk in a ethereal tundra, surreal treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "serene forest golden hour clear sky", "rich": "Visualizing serene forest: golden hour through clear sky, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "ethereal swamp blue hour fog", "rich": "A fog blue hour in a ethereal swamp, neorealism treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted city golden hour heat haze", "rich": "A heat haze golden hour in a haunted city, baroque treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "euphoric forest blue hour overcast", "rich": "Expressionist shot of a euphoric forest during blue hour, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "melancholic ocean last light drizzle", "rich": "Cinematic shot of a melancholic ocean during last light, drizzle shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tense desert golden hour overcast", "rich": "Golden Hour desert, overcast and tense, baroque style, environment and emotion", "domain": "video scenes"}
+{"terse": "euphoric studio dusk drizzle", "rich": "A drizzle dusk in a euphoric studio, minimalist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "haunted prairie noon heat haze", "rich": "Noon prairie, heat haze and haunted, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "contemplative highway golden hour clear sky", "rich": "A contemplative highway at golden hour, clear sky atmosphere, impressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "melancholic swamp dusk drizzle", "rich": "Visualizing melancholic swamp: dusk through drizzle, expressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "tender forest 3am clear sky", "rich": "Neorealism shot of a tender forest during 3am, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "ethereal mountain twilight storm", "rich": "Documentary shot of a ethereal mountain during twilight, storm shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "tense rooftop dusk drizzle", "rich": "A drizzle dusk in a tense rooftop, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "contemplative swamp noon hail", "rich": "A hail noon in a contemplative swamp, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant tundra dusk fog", "rich": "Dusk tundra, fog and triumphant, minimalist style, environment and emotion", "domain": "video scenes"}
+{"terse": "romantic forest midnight fog", "rich": "Visualizing romantic forest: midnight through fog, impressionist work, feeling in frames", "domain": "video scenes"}
+{"terse": "melancholic village first light heat haze", "rich": "Visualizing melancholic village: first light through heat haze, minimalist work, feeling in frames", "domain": "video scenes"}
+{"terse": "tender ocean last light snow", "rich": "A snow last light in a tender ocean, documentary treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "frenzied swamp twilight hail", "rich": "Visualizing frenzied swamp: twilight through hail, baroque work, feeling in frames", "domain": "video scenes"}
+{"terse": "savage forest dusk overcast", "rich": "Visualizing savage forest: dusk through overcast, documentary work, feeling in frames", "domain": "video scenes"}
+{"terse": "haunted castle first light overcast", "rich": "First Light castle, overcast and haunted, noir style, environment and emotion", "domain": "video scenes"}
+{"terse": "savage ocean dusk windy", "rich": "A savage ocean at dusk, windy atmosphere, expressionist cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "serene basement dusk clear sky", "rich": "Noir shot of a serene basement during dusk, clear sky shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "bitter jungle midnight overcast", "rich": "A overcast midnight in a bitter jungle, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "tense mountain midnight hail", "rich": "Surreal shot of a tense mountain during midnight, hail shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "triumphant studio first light snow", "rich": "Expressionist shot of a triumphant studio during first light, snow shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "savage studio dusk fog", "rich": "Dusk studio, fog and savage, dreamlike style, environment and emotion", "domain": "video scenes"}
+{"terse": "bitter tundra last light rain", "rich": "A bitter tundra at last light, rain atmosphere, cinematic cinematography, evocative lighting, visual poetry", "domain": "video scenes"}
+{"terse": "euphoric castle last light clear sky", "rich": "Last Light castle, clear sky and euphoric, impressionist style, environment and emotion", "domain": "video scenes"}
+{"terse": "peaceful studio dawn drizzle", "rich": "A drizzle dawn in a peaceful studio, expressionist treatment, atmosphere thick with narrative", "domain": "video scenes"}
+{"terse": "triumphant rooftop midnight windy", "rich": "Visualizing triumphant rooftop: midnight through windy, surreal work, feeling in frames", "domain": "video scenes"}
+{"terse": "tense swamp dawn fog", "rich": "Visualizing tense swamp: dawn through fog, neorealism work, feeling in frames", "domain": "video scenes"}
+{"terse": "joyful rooftop midnight overcast", "rich": "Dreamlike shot of a joyful rooftop during midnight, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "bitter tundra golden hour overcast", "rich": "Baroque shot of a bitter tundra during golden hour, overcast shaping mood, cinema as feeling", "domain": "video scenes"}
+{"terse": "contemplative basement first light snow", "rich": "Minimalist shot of a contemplative basement during first light, snow shaping mood, cinema as feeling", "domain": "video scenes"}
--- a/training/scripts/augment_pairs.py
+++ b/training/scripts/augment_pairs.py
@@ -1,129 +0,0 @@
-#!/usr/bin/env python3
-"""
-augment_pairs.py — Training data augmentation: paraphrase and translate.
-
-Usage:
-    python3 augment_pairs.py --input data.jsonl
-    python3 augment_pairs.py --input data.jsonl --paraphrases 3 --langs es,fr,de
-    python3 augment_pairs.py --input data.jsonl --llm-endpoint http://localhost:11434/v1
-"""
-
-import json, os, sys, re, random
-from pathlib import Path
-
-random.seed(42)
-
-PARAPHRASE_TRANSFORMS = [
-    lambda s: re.sub(r"(\w+), (\w+)", r"\2, \1", s, count=1),
-    lambda s: f"A beautifully rendered scene: {s[0].lower()}{s[1:]}" if len(s) > 10 else s,
-    lambda s: s.replace("A ", "The ").replace("An ", "The ") if s.startswith(("A ", "An ")) else f"Here, {s[0].lower()}{s[1:]}",
-    lambda s: f"In a cinematic frame: {s}" if len(s) > 20 else s,
-    lambda s: s if ", " not in s else ", ".join(s.split(", ")[:2]),
-]
-
-TRANSLATIONS = {
-    "es": {"the":"el","a":"un","is":"es","in":"en","of":"de","and":"y","with":"con","scene":"escena","light":"luz","dark":"oscuro","warm":"cálido","rain":"lluvia","sun":"sol","moon":"luna","sky":"cielo","forest":"bosque","mountain":"montaña","ocean":"océano","golden":"dorado","blue":"azul","red":"rojo","green":"verde","silence":"silencio","dream":"sueño","love":"amor","hope":"esperanza","fear":"miedo","joy":"alegría","peace":"paz","beautiful":"hermoso","sad":"triste","shadow":"sombra","color":"color","silver":"plateado","white":"blanco","black":"negro","portray":"retrato"},
-    "fr": {"the":"le","a":"un","is":"est","in":"dans","of":"de","and":"et","with":"avec","scene":"scène","light":"lumière","dark":"sombre","warm":"chaud","rain":"pluie","sun":"soleil","moon":"lune","sky":"ciel","forest":"forêt","mountain":"montagne","ocean":"océan","golden":"doré","blue":"bleu","red":"rouge","green":"vert","silence":"silence","dream":"rêve","love":"amour","hope":"espoir","fear":"peur","joy":"joie","peace":"paix","beautiful":"beau","sad":"triste","shadow":"ombre","color":"couleur","silver":"argenté","white":"blanc","black":"noir"},
-    "de": {"the":"der","a":"ein","is":"ist","in":"in","of":"von","and":"und","with":"mit","scene":"Szene","light":"Licht","dark":"dunkel","warm":"warm","rain":"Regen","sun":"Sonne","moon":"Mond","sky":"Himmel","forest":"Wald","mountain":"Berg","ocean":"Ozean","golden":"golden","blue":"blau","red":"rot","green":"grün","silence":"Stille","dream":"Traum","love":"Liebe","hope":"Hoffnung","fear":"Angst","joy":"Freude","peace":"Frieden","beautiful":"schön","sad":"traurig","shadow":"Schatten","color":"Farbe","silver":"silbern","white":"weiß","black":"schwarz"},
-}
-
-LANG_NAMES = {"es": "Spanish", "fr": "French", "de": "German"}
-
-
-def detect_text_field(entry):
-    for f in ["rich","terse","text","content","lyric_line","description","scene_description","prompt","scene"]:
-        if f in entry and isinstance(entry[f], str) and len(entry[f]) > 5:
-            return f
-    for k, v in entry.items():
-        if isinstance(v, str) and len(v) > 5:
-            return k
-    return None
-
-
-def paraphrase(text):
-    t = random.choice(PARAPHRASE_TRANSFORMS)(text)
-    if t == text:
-        t = text.replace(" and ", " & ").replace(" with ", " alongside ")
-        if t == text:
-            t = f"In this scene: {text[0].lower()}{text[1:]}" if text[0].isupper() else text
-    return t
-
-
-def translate(text, lang):
-    d = TRANSLATIONS.get(lang, {})
-    words = text.split()
-    out = []
-    for w in words:
-        lo = w.lower().strip(".,;:!?")
-        suf = w[len(w.rstrip(".,;:!?")):]
-        if lo in d:
-            out.append(d[lo] + suf)
-        else:
-            out.append(w)
-    return " ".join(out)
-
-
-def augment_file(input_path, output_path=None, n_para=3, langs=None, llm_endpoint=None):
-    input_path = Path(input_path)
-    if output_path is None:
-        output_path = input_path.parent / f"{input_path.stem}_augmented{input_path.suffix}"
-
-    entries = [json.loads(l) for l in open(input_path) if l.strip()]
-    if not entries:
-        print(f"No entries in {input_path}"); return 0
-
-    tf = detect_text_field(entries[0])
-    if not tf:
-        print(f"ERROR: No text field in {input_path}", file=sys.stderr); return 0
-
-    print(f"Input: {input_path} ({len(entries)} entries, field={tf})")
-
-    aug_count = 0
-    with open(output_path, "w") as out:
-        for e in entries:
-            out.write(json.dumps(e, ensure_ascii=False) + "\n")
-        for i, e in enumerate(entries):
-            text = e[tf]
-            # Paraphrases
-            for p in range(n_para):
-                para = paraphrase(text)
-                if para != text:
-                    ne = dict(e); ne[tf] = para
-                    ne["_augmentation"] = f"paraphrase_{p+1}"
-                    ne["_original"] = text[:100]
-                    out.write(json.dumps(ne, ensure_ascii=False) + "\n")
-                    aug_count += 1
-            # Translations
-            for lang in (langs or []):
-                tr = translate(text, lang)
-                if tr != text:
-                    ne = dict(e); ne[tf] = tr
-                    ne["_augmentation"] = f"translate_{lang}"
-                    ne["_language"] = lang
-                    ne["_original"] = text[:100]
-                    out.write(json.dumps(ne, ensure_ascii=False) + "\n")
-                    aug_count += 1
-            if (i+1) % 100 == 0:
-                print(f"  {i+1}/{len(entries)} done ({aug_count} augmented)")
-
-    total = len(entries) + aug_count
-    print(f"Done: {len(entries)} originals + {aug_count} augmented = {total}")
-    print(f"Output: {output_path}")
-    return aug_count
-
-
-def main():
-    import argparse
-    p = argparse.ArgumentParser()
-    p.add_argument("--input", required=True)
-    p.add_argument("--output", default=None)
-    p.add_argument("--paraphrases", type=int, default=3)
-    p.add_argument("--langs", default="es,fr,de")
-    p.add_argument("--llm-endpoint", default=None)
-    args = p.parse_args()
-    langs = [l.strip() for l in args.langs.split(",") if l.strip()] if args.langs else []
-    augment_file(args.input, args.output, args.paraphrases, langs, args.llm_endpoint)
-
-
-if __name__ == "__main__":
-    main()