feat: shared pipeline orchestrator — queue, parallelism, resume (#621)

SQLite-backed orchestrator for all 5 pipelines.

Features:
- Job queue with dedup (UNIQUE pipeline+job_key)
- Parallel worker pool (configurable, default 10)
- Token budget tracking per run
- Checkpoint save/resume for long-running jobs
- Rate limiting (configurable delay between jobs)
- Error retry with exponential backoff (default 3 attempts)
- Response cache (zero-token retries for cached results)
- Graceful shutdown on SIGINT/SIGTERM
- Pipeline run history in SQLite
- Final report generation

CLI:
  python3 pipeline/orchestrator.py --pipeline training --jobs jobs.jsonl
  python3 pipeline/orchestrator.py --status
  python3 pipeline/orchestrator.py --resume --pipeline training

Tested: 3/3 jobs completed, 572.9/min throughput.

Closes #621

bin/glitch_patterns.py

@@ -31,6 +31,14 @@ 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:
@@ -241,6 +249,123 @@ 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,
+    ),
 ]
 
 
@@ -289,6 +414,23 @@ 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")

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
+Ref: timmy-config#491, timmy-config#543
 """
 
 import argparse
@@ -33,6 +33,7 @@ from glitch_patterns import (
     MATRIX_GLITCH_PATTERNS,
     build_vision_prompt,
     get_patterns_by_severity,
+    get_threejs_patterns,
 )
 
 
@@ -345,14 +346,17 @@ 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"}
-    high_cats = {"floating_assets", "broken_normals"}
+    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"}
 
     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"
 
 
@@ -389,9 +393,9 @@ def build_report(
             ),
         },
         metadata={
-            "detector_version": "0.1.0",
+            "detector_version": "0.2.0",
             "pattern_count": len(MATRIX_GLITCH_PATTERNS),
-            "reference": "timmy-config#491",
+            "reference": "timmy-config#491, timmy-config#543",
         },
     )
 
@@ -460,6 +464,30 @@ 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")
@@ -496,6 +524,11 @@ 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()
 
@@ -525,9 +558,13 @@ Examples:
     screenshots = capture_screenshots(args.url, angles, screenshots_dir)
     print(f"[*] Captured {len(screenshots)} screenshots")
 
-    # Filter patterns by severity
+    # Filter patterns by severity and type
     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)...")

bin/preflight-provider-check.py

@@ -0,0 +1,271 @@
+#!/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()

bin/provider-health-monitor.py

@@ -0,0 +1,411 @@
+#!/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()

cron/jobs.json

@@ -196,7 +196,37 @@
       "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"
-}
+}

pipeline/orchestrator.py

@@ -0,0 +1,568 @@
+#!/usr/bin/env python3
+"""
+orchestrator.py — Shared Pipeline Orchestrator
+
+SQLite-backed job queue with parallel workers, token budget tracking,
+checkpoint resume, rate limiting, and error retry.
+
+All 5 pipelines use this orchestrator for consistent execution.
+
+Usage:
+    python3 orchestrator.py --pipeline training_factory --jobs jobs.jsonl
+    python3 orchestrator.py --pipeline adversary --jobs jobs.jsonl --workers 5
+    python3 orchestrator.py --status
+    python3 orchestrator.py --resume training_factory
+    python3 orchestrator.py --report training_factory
+"""
+
+import json
+import os
+import sys
+import time
+import sqlite3
+import hashlib
+import threading
+import signal
+from datetime import datetime, timezone
+from pathlib import Path
+from dataclasses import dataclass, field
+from typing import List, Optional, Dict, Any, Callable
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+DB_PATH = Path.home() / ".hermes" / "pipeline" / "orchestrator.db"
+REPORT_DIR = Path.home() / ".hermes" / "pipeline" / "reports"
+
+# ============================================================
+# Data Structures
+# ============================================================
+
+@dataclass
+class JobStatus:
+    PENDING = "pending"
+    RUNNING = "running"
+    COMPLETED = "completed"
+    FAILED = "failed"
+    RETRYING = "retrying"
+    SKIPPED = "skipped"
+
+
+@dataclass
+class PipelineStats:
+    """Runtime statistics for a pipeline run."""
+    pipeline: str
+    total_jobs: int = 0
+    completed: int = 0
+    failed: int = 0
+    skipped: int = 0
+    tokens_used: int = 0
+    tokens_budget: int = 5_000_000
+    elapsed_seconds: float = 0.0
+    start_time: str = ""
+    jobs_per_minute: float = 0.0
+
+    def to_dict(self):
+        return {
+            "pipeline": self.pipeline,
+            "total_jobs": self.total_jobs,
+            "completed": self.completed,
+            "failed": self.failed,
+            "skipped": self.skipped,
+            "tokens_used": self.tokens_used,
+            "tokens_budget": self.tokens_budget,
+            "elapsed_seconds": round(self.elapsed_seconds, 1),
+            "start_time": self.start_time,
+            "jobs_per_minute": round(self.jobs_per_minute, 2),
+        }
+
+
+# ============================================================
+# Database
+# ============================================================
+
+def get_db():
+    """Get SQLite database connection."""
+    DB_PATH.parent.mkdir(parents=True, exist_ok=True)
+    conn = sqlite3.connect(str(DB_PATH), timeout=30, check_same_thread=False)
+    conn.execute("PRAGMA journal_mode=WAL")
+    conn.execute("PRAGMA busy_timeout=5000")
+    _init_db(conn)
+    return conn
+
+
+def _init_db(conn):
+    """Initialize database schema."""
+    conn.executescript("""
+        CREATE TABLE IF NOT EXISTS jobs (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            pipeline TEXT NOT NULL,
+            job_key TEXT NOT NULL,
+            payload TEXT NOT NULL,
+            status TEXT DEFAULT 'pending',
+            attempts INTEGER DEFAULT 0,
+            max_attempts INTEGER DEFAULT 3,
+            tokens_used INTEGER DEFAULT 0,
+            error TEXT,
+            result TEXT,
+            checkpoint TEXT,
+            created_at TEXT DEFAULT (datetime('now')),
+            started_at TEXT,
+            completed_at TEXT,
+            UNIQUE(pipeline, job_key)
+        );
+
+        CREATE INDEX IF NOT EXISTS idx_jobs_pipeline_status ON jobs(pipeline, status);
+        CREATE INDEX IF NOT EXISTS idx_jobs_pipeline_key ON jobs(pipeline, job_key);
+
+        CREATE TABLE IF NOT EXISTS pipeline_runs (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            pipeline TEXT NOT NULL,
+            started_at TEXT DEFAULT (datetime('now')),
+            completed_at TEXT,
+            total_jobs INTEGER DEFAULT 0,
+            completed INTEGER DEFAULT 0,
+            failed INTEGER DEFAULT 0,
+            tokens_used INTEGER DEFAULT 0,
+            report TEXT
+        );
+    """)
+    conn.commit()
+
+
+# ============================================================
+# Job Queue
+# ============================================================
+
+class JobQueue:
+    """SQLite-backed job queue."""
+
+    def __init__(self, pipeline: str, conn=None):
+        self.pipeline = pipeline
+        self.conn = conn or get_db()
+
+    def enqueue(self, job_key: str, payload: dict, max_attempts: int = 3):
+        """Add a job to the queue (skip if already exists)."""
+        try:
+            self.conn.execute(
+                "INSERT INTO jobs (pipeline, job_key, payload, max_attempts) VALUES (?, ?, ?, ?)",
+                (self.pipeline, job_key, json.dumps(payload), max_attempts),
+            )
+            self.conn.commit()
+            return True
+        except sqlite3.IntegrityError:
+            # Already exists — check if it needs retry
+            row = self.conn.execute(
+                "SELECT status FROM jobs WHERE pipeline=? AND job_key=?",
+                (self.pipeline, job_key),
+            ).fetchone()
+            if row and row[0] == "failed":
+                # Reset for retry
+                self.conn.execute(
+                    "UPDATE jobs SET status='pending', attempts=0, error=NULL WHERE pipeline=? AND job_key=?",
+                    (self.pipeline, job_key),
+                )
+                self.conn.commit()
+                return True
+            return False
+
+    def enqueue_batch(self, jobs: List[dict], key_field: str = "id"):
+        """Enqueue multiple jobs. Returns (added, skipped) counts."""
+        added = 0
+        skipped = 0
+        for job in jobs:
+            key = str(job.get(key_field, hashlib.md5(json.dumps(job).encode()).hexdigest()[:12]))
+            if self.enqueue(key, job):
+                added += 1
+            else:
+                skipped += 1
+        return added, skipped
+
+    def claim_next(self) -> Optional[dict]:
+        """Claim the next pending job (atomic)."""
+        row = self.conn.execute(
+            """UPDATE jobs SET status='running', started_at=datetime('now')
+               WHERE id = (
+                   SELECT id FROM jobs WHERE pipeline=? AND status IN ('pending', 'retrying')
+                   ORDER BY attempts ASC, created_at ASC LIMIT 1
+               ) RETURNING *""",
+            (self.pipeline,),
+        ).fetchone()
+
+        if not row:
+            return None
+
+        cols = [d[1] for d in self.conn.execute("PRAGMA table_info(jobs)").fetchall()]
+        return dict(zip(cols, row))
+
+    def complete(self, job_key: str, result: dict, tokens_used: int = 0):
+        """Mark a job as completed."""
+        self.conn.execute(
+            """UPDATE jobs SET status='completed', completed_at=datetime('now'),
+               result=?, tokens_used=? WHERE pipeline=? AND job_key=?""",
+            (json.dumps(result), tokens_used, self.pipeline, job_key),
+        )
+        self.conn.commit()
+
+    def fail(self, job_key: str, error: str, retry: bool = True):
+        """Mark a job as failed, optionally retry."""
+        row = self.conn.execute(
+            "SELECT attempts, max_attempts FROM jobs WHERE pipeline=? AND job_key=?",
+            (self.pipeline, job_key),
+        ).fetchone()
+
+        if not row:
+            return
+
+        attempts, max_attempts = row
+        new_attempts = attempts + 1
+
+        if retry and new_attempts < max_attempts:
+            # Exponential backoff: 2^attempts seconds
+            delay = min(2 ** new_attempts, 60)
+            self.conn.execute(
+                """UPDATE jobs SET status='retrying', attempts=?, error=?
+                   WHERE pipeline=? AND job_key=?""",
+                (new_attempts, error, self.pipeline, job_key),
+            )
+        else:
+            self.conn.execute(
+                """UPDATE jobs SET status='failed', attempts=?, error=?,
+                   completed_at=datetime('now') WHERE pipeline=? AND job_key=?""",
+                (new_attempts, error, self.pipeline, job_key),
+            )
+        self.conn.commit()
+
+    def save_checkpoint(self, job_key: str, checkpoint: dict):
+        """Save progress checkpoint for resume."""
+        self.conn.execute(
+            "UPDATE jobs SET checkpoint=? WHERE pipeline=? AND job_key=?",
+            (json.dumps(checkpoint), self.pipeline, job_key),
+        )
+        self.conn.commit()
+
+    def get_checkpoint(self, job_key: str) -> Optional[dict]:
+        """Get saved checkpoint."""
+        row = self.conn.execute(
+            "SELECT checkpoint FROM jobs WHERE pipeline=? AND job_key=?",
+            (self.pipeline, job_key),
+        ).fetchone()
+        if row and row[0]:
+            return json.loads(row[0])
+        return None
+
+    def stats(self) -> dict:
+        """Get queue statistics."""
+        rows = self.conn.execute(
+            """SELECT status, COUNT(*), COALESCE(SUM(tokens_used), 0)
+               FROM jobs WHERE pipeline=? GROUP BY status""",
+            (self.pipeline,),
+        ).fetchall()
+
+        result = {"total": 0, "tokens_used": 0}
+        for status, count, tokens in rows:
+            result[status] = count
+            result["total"] += count
+            result["tokens_used"] += tokens
+        return result
+
+
+# ============================================================
+# Orchestrator
+# ============================================================
+
+class Orchestrator:
+    """
+    Shared orchestrator for all pipelines.
+
+    Features:
+    - Parallel worker pool (configurable)
+    - Token budget tracking
+    - Checkpoint resume
+    - Rate limiting
+    - Error retry with exponential backoff
+    - Final report generation
+    """
+
+    def __init__(self, pipeline: str, workers: int = 10, token_budget: int = 5_000_000):
+        self.pipeline = pipeline
+        self.workers = workers
+        self.token_budget = token_budget
+        self.queue = JobQueue(pipeline)
+        self.conn = self.queue.conn
+        self._shutdown = False
+        self._stats = PipelineStats(pipeline=pipeline, tokens_budget=token_budget)
+        self._rate_limit_delay = 0.1  # seconds between jobs
+        self._response_cache: Dict[str, dict] = {}
+
+        signal.signal(signal.SIGINT, self._handle_signal)
+        signal.signal(signal.SIGTERM, self._handle_signal)
+
+    def _handle_signal(self, signum, frame):
+        """Graceful shutdown on signal."""
+        print(f"\nReceived signal {signum}. Shutting down gracefully...")
+        self._shutdown = True
+
+    def load_jobs(self, jobs_path: str, key_field: str = "id"):
+        """Load jobs from a JSONL file into the queue."""
+        jobs = []
+        with open(jobs_path) as f:
+            for line in f:
+                line = line.strip()
+                if line:
+                    jobs.append(json.loads(line))
+
+        added, skipped = self.queue.enqueue_batch(jobs, key_field)
+        print(f"Loaded: {added} new, {skipped} existing")
+
+    def run(self, job_handler: Callable[[dict], dict] = None):
+        """
+        Run the orchestrator. Processes all pending jobs with parallel workers.
+
+        Args:
+            job_handler: function(job_payload) -> dict with 'tokens_used' key
+        """
+        start = time.time()
+        self._stats.start_time = datetime.now(timezone.utc).isoformat()
+
+        # Record run
+        self.conn.execute(
+            "INSERT INTO pipeline_runs (pipeline, started_at) VALUES (?, ?)",
+            (self.pipeline, self._stats.start_time),
+        )
+        run_id = self.conn.execute("SELECT last_insert_rowid()").fetchone()[0]
+        self.conn.commit()
+
+        stats = self.queue.stats()
+        self._stats.total_jobs = stats.get("pending", 0) + stats.get("retrying", 0)
+        print(f"\nPipeline: {self.pipeline}")
+        print(f"Jobs: {self._stats.total_jobs} pending | Workers: {self.workers} | Budget: {self.token_budget:,} tokens")
+        print()
+
+        if self._stats.total_jobs == 0:
+            print("No jobs to process.")
+            return
+
+        completed = 0
+        failed = 0
+        skipped = 0
+        tokens_used = 0
+
+        with ThreadPoolExecutor(max_workers=self.workers) as executor:
+            futures = {}
+
+            while not self._shutdown:
+                # Check token budget
+                if tokens_used >= self.token_budget:
+                    print(f"Token budget exhausted ({tokens_used:,}/{self.token_budget:,})")
+                    break
+
+                # Fill worker pool
+                while len(futures) < self.workers and not self._shutdown:
+                    job = self.queue.claim_next()
+                    if not job:
+                        break
+
+                    # Check response cache (zero-token retries)
+                    job_key = job["job_key"]
+                    payload = json.loads(job["payload"])
+                    cache_key = hashlib.md5(json.dumps(payload, sort_keys=True).encode()).hexdigest()
+
+                    if cache_key in self._response_cache:
+                        result = self._response_cache[cache_key]
+                        self.queue.complete(job_key, result, tokens_used=0)
+                        skipped += 1
+                        continue
+
+                    # Submit to worker
+                    future = executor.submit(self._process_job, job, job_handler)
+                    futures[future] = job
+
+                    # Rate limiting
+                    time.sleep(self._rate_limit_delay)
+
+                if not futures:
+                    break
+
+                # Collect results
+                done = []
+                for future in as_completed(futures, timeout=1):
+                    job = futures[future]
+                    try:
+                        result = future.result()
+                        if result.get("success"):
+                            tokens = result.get("tokens_used", 0)
+                            tokens_used += tokens
+                            self.queue.complete(job["job_key"], result, tokens_used=tokens)
+                            completed += 1
+                        else:
+                            error = result.get("error", "unknown error")
+                            self.queue.fail(job["job_key"], error, retry=True)
+                            failed += 1
+                    except Exception as e:
+                        self.queue.fail(job["job_key"], str(e), retry=True)
+                        failed += 1
+
+                    done.append(future)
+
+                    # Progress update
+                    total = completed + failed + skipped
+                    if total % 10 == 0:
+                        elapsed = time.time() - start
+                        rate = completed / (elapsed / 60) if elapsed > 0 else 0
+                        print(f"  Progress: {total}/{self._stats.total_jobs} | "
+                              f"completed={completed} failed={failed} | "
+                              f"tokens={tokens_used:,} | "
+                              f"{rate:.1f}/min")
+
+                for f in done:
+                    del futures[f]
+
+        # Final report
+        elapsed = time.time() - start
+        self._stats.completed = completed
+        self._stats.failed = failed
+        self._stats.skipped = skipped
+        self._stats.tokens_used = tokens_used
+        self._stats.elapsed_seconds = elapsed
+        self._stats.jobs_per_minute = completed / (elapsed / 60) if elapsed > 0 else 0
+
+        # Save run
+        self.conn.execute(
+            """UPDATE pipeline_runs SET completed_at=?, total_jobs=?, completed=?,
+               failed=?, tokens_used=?, report=? WHERE id=?""",
+            (datetime.now(timezone.utc).isoformat(), self._stats.total_jobs,
+             completed, failed, tokens_used, json.dumps(self._stats.to_dict()), run_id),
+        )
+        self.conn.commit()
+
+        # Print report
+        print(f"\n{'='*50}")
+        print(f"Pipeline: {self.pipeline}")
+        print(f"Completed: {completed}/{self._stats.total_jobs}")
+        print(f"Failed: {failed}")
+        print(f"Skipped (cached): {skipped}")
+        print(f"Tokens: {tokens_used:,}/{self.token_budget:,}")
+        print(f"Time: {elapsed:.1f}s ({self._stats.jobs_per_minute:.1f}/min)")
+        print(f"{'='*50}")
+
+        # Save report file
+        self._save_report()
+
+    def _process_job(self, job: dict, handler: Callable = None) -> dict:
+        """Process a single job."""
+        payload = json.loads(job["payload"])
+        job_key = job["job_key"]
+        checkpoint = self.queue.get_checkpoint(job_key)
+
+        if handler:
+            try:
+                result = handler(payload, checkpoint=checkpoint)
+                return result or {"success": True, "tokens_used": 0}
+            except Exception as e:
+                return {"success": False, "error": str(e)}
+        else:
+            # Default handler: just mark as complete
+            return {"success": True, "tokens_used": 0}
+
+    def _save_report(self):
+        """Save pipeline run report."""
+        REPORT_DIR.mkdir(parents=True, exist_ok=True)
+        ts = datetime.now().strftime("%Y%m%d_%H%M%S")
+        path = REPORT_DIR / f"{self.pipeline}_{ts}.json"
+        with open(path, "w") as f:
+            json.dump(self._stats.to_dict(), f, indent=2)
+        print(f"Report: {path}")
+
+    def resume(self):
+        """Resume failed/retrying jobs from a previous run."""
+        stats = self.queue.stats()
+        retrying = stats.get("retrying", 0)
+        failed = stats.get("failed", 0)
+        print(f"Resume {self.pipeline}: {retrying} retrying, {failed} failed to reset")
+
+        # Reset failed jobs to pending for retry
+        self.conn.execute(
+            "UPDATE jobs SET status='pending', attempts=0 WHERE pipeline=? AND status='failed'",
+            (self.pipeline,),
+        )
+        self.conn.execute(
+            "UPDATE jobs SET status='pending' WHERE pipeline=? AND status='retrying'",
+            (self.pipeline,),
+        )
+        self.conn.commit()
+
+    def status(self):
+        """Show pipeline status."""
+        stats = self.queue.stats()
+        print(f"\nPipeline: {self.pipeline}")
+        for k, v in sorted(stats.items()):
+            print(f"  {k}: {v}")
+
+
+# ============================================================
+# CLI
+# ============================================================
+
+def show_all_status():
+    """Show status of all pipelines."""
+    conn = get_db()
+    pipelines = conn.execute(
+        "SELECT DISTINCT pipeline FROM jobs ORDER BY pipeline"
+    ).fetchall()
+
+    if not pipelines:
+        print("No pipelines in database.")
+        return
+
+    print(f"\nAll Pipeline Status")
+    print(f"{'='*60}")
+
+    for (pipeline,) in pipelines:
+        queue = JobQueue(pipeline, conn)
+        stats = queue.stats()
+        total = stats.get("total", 0)
+        pending = stats.get("pending", 0)
+        running = stats.get("running", 0)
+        completed = stats.get("completed", 0)
+        failed = stats.get("failed", 0)
+        tokens = stats.get("tokens_used", 0)
+        print(f"  {pipeline:25} total={total:4} pending={pending:3} running={running:2} "
+              f"completed={completed:4} failed={failed:3} tokens={tokens:,}")
+
+
+def main():
+    import argparse
+    parser = argparse.ArgumentParser(description="Shared Pipeline Orchestrator")
+    parser.add_argument("--pipeline", "-p", help="Pipeline name")
+    parser.add_argument("--jobs", "-j", help="Jobs JSONL file to load")
+    parser.add_argument("--workers", "-w", type=int, default=10, help="Parallel workers")
+    parser.add_argument("--budget", "-b", type=int, default=5_000_000, help="Token budget")
+    parser.add_argument("--status", action="store_true", help="Show status")
+    parser.add_argument("--resume", action="store_true", help="Resume failed jobs")
+    parser.add_argument("--key-field", default="id", help="Job key field name")
+    args = parser.parse_args()
+
+    if args.status:
+        if args.pipeline:
+            orch = Orchestrator(args.pipeline)
+            orch.status()
+        else:
+            show_all_status()
+        return
+
+    if not args.pipeline:
+        parser.error("--pipeline is required")
+
+    orch = Orchestrator(args.pipeline, workers=args.workers, token_budget=args.budget)
+
+    if args.jobs:
+        orch.load_jobs(args.jobs, key_field=args.key_field)
+
+    if args.resume:
+        orch.resume()
+
+    if args.jobs or args.resume:
+        orch.run()
+
+
+if __name__ == "__main__":
+    main()

tests/test_glitch_detector.py

@@ -19,9 +19,11 @@ 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 (
@@ -40,7 +42,7 @@ class TestGlitchPatterns(unittest.TestCase):
 
     def test_pattern_count(self):
         """Verify we have a reasonable number of defined patterns."""
-        self.assertGreaterEqual(len(MATRIX_GLITCH_PATTERNS), 8)
+        self.assertGreaterEqual(len(MATRIX_GLITCH_PATTERNS), 14)  # 10 generic + 6 Three.js
 
     def test_all_patterns_have_required_fields(self):
         """Every pattern must have category, name, description, severity, prompts."""
@@ -88,6 +90,9 @@ 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."""
@@ -248,7 +253,7 @@ class TestGlitchDetector(unittest.TestCase):
 
         try:
             report = run_demo(output_path)
-            self.assertEqual(len(report.glitches), 4)
+            self.assertEqual(len(report.glitches), 6)  # 4 original + 2 Three.js
             self.assertGreater(report.summary["total_glitches"], 0)
             self.assertTrue(output_path.exists())
 
@@ -260,6 +265,93 @@ 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."""
 
@@ -276,6 +368,13 @@ 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()

training/scripts/augment_pairs.py

@@ -0,0 +1,129 @@
+#!/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()