feat: add pipeline introspection demo mode

- Add PipelineIntrospectionSource that renders live ASCII DAG with metrics
- Add PipelineMetricsSensor exposing pipeline performance as sensor values
- Add PipelineIntrospectionDemo controller with 3-phase animation:
  - Phase 1: Toggle effects one at a time (3s each)
  - Phase 2: LFO drives intensity default→max→min→default
  - Phase 3: All effects with shared LFO (infinite loop)
- Add pipeline-inspect preset
- Add get_frame_times() to Pipeline for sparkline data
- Add tests for new components
- Update mise.toml with pipeline-inspect preset task

AGENTS.md

@@ -161,7 +161,7 @@ The project uses pytest with strict marker enforcement. Test configuration is in
 
 ### Test Coverage Strategy
 
-Current coverage: 56% (433 tests)
+Current coverage: 56% (434 tests)
 
 Key areas with lower coverage (acceptable for now):
 - **app.py** (8%): Main entry point - integration heavy, requires terminal
@@ -186,11 +186,18 @@ Performance regression tests are in `tests/test_benchmark.py` with `@pytest.mark
 
 ## Architecture Notes
 
-- **ntfy.py** and **mic.py** are standalone modules with zero internal dependencies
+- **ntfy.py** - standalone notification poller with zero internal dependencies
+- **sensors/** - Sensor framework (MicSensor, OscillatorSensor) for real-time input
 - **eventbus.py** provides thread-safe event publishing for decoupled communication
-- **controller.py** coordinates ntfy/mic monitoring and event publishing
 - **effects/** - plugin architecture with performance monitoring
-- The render pipeline: fetch → render → effects → scroll → terminal output
+- The new pipeline architecture: source → render → effects → display
+
+#### Canvas & Camera
+
+- **Canvas** (`engine/canvas.py`): 2D rendering surface with dirty region tracking
+- **Camera** (`engine/camera.py`): Viewport controller for scrolling content
+
+The Canvas tracks dirty regions automatically when content is written (via `put_region`, `put_text`, `fill`), enabling partial buffer updates for optimized effect processing.
 
 ### Pipeline Architecture
 
@@ -214,9 +221,24 @@ Stages declare capabilities (what they provide) and dependencies (what they need
 - **SensorStage**: Pipeline adapter that provides sensor values to effects
 - **MicSensor** (`engine/sensors/mic.py`): Self-contained microphone input
 - **OscillatorSensor** (`engine/sensors/oscillator.py`): Test sensor for development
+- **PipelineMetricsSensor** (`engine/sensors/pipeline_metrics.py`): Exposes pipeline metrics as sensor values
 
 Sensors support param bindings to drive effect parameters in real-time.
 
+#### Pipeline Introspection
+
+- **PipelineIntrospectionSource** (`engine/pipeline_sources/pipeline_introspection.py`): Renders live ASCII visualization of pipeline DAG with metrics
+- **PipelineIntrospectionDemo** (`engine/pipeline/pipeline_introspection_demo.py`): 3-phase demo controller for effect animation
+
+Preset: `pipeline-inspect` - Live pipeline introspection with DAG and performance metrics
+
+#### Partial Update Support
+
+Effect plugins can opt-in to partial buffer updates for performance optimization:
+- Set `supports_partial_updates = True` on the effect class
+- Implement `process_partial(buf, ctx, partial)` method
+- The `PartialUpdate` dataclass indicates which regions changed
+
 ### Preset System
 
 Presets use TOML format (no external dependencies):

engine/pipeline/controller.py

@@ -466,6 +466,10 @@ class Pipeline:
         self._frame_metrics.clear()
         self._current_frame_number = 0
 
+    def get_frame_times(self) -> list[float]:
+        """Get historical frame times for sparklines/charts."""
+        return [f.total_ms for f in self._frame_metrics]
+
 
 class PipelineRunner:
     """High-level pipeline runner with animation support."""

engine/pipeline/pipeline_introspection_demo.py

@@ -0,0 +1,300 @@
+"""
+Pipeline introspection demo controller - 3-phase animation system.
+
+Phase 1: Toggle each effect on/off one at a time (3s each, 1s gap)
+Phase 2: LFO drives intensity default → max → min → default for each effect
+Phase 3: All effects with shared LFO driving full waveform
+
+This controller manages the animation and updates the pipeline accordingly.
+"""
+
+import time
+from dataclasses import dataclass
+from enum import Enum, auto
+from typing import Any
+
+from engine.effects import get_registry
+from engine.sensors.oscillator import OscillatorSensor
+
+
+class DemoPhase(Enum):
+    """The three phases of the pipeline introspection demo."""
+
+    PHASE_1_TOGGLE = auto()  # Toggle each effect on/off
+    PHASE_2_LFO = auto()  # LFO drives intensity up/down
+    PHASE_3_SHARED_LFO = auto()  # All effects with shared LFO
+
+
+@dataclass
+class PhaseState:
+    """State for a single phase of the demo."""
+
+    phase: DemoPhase
+    start_time: float
+    current_effect_index: int = 0
+    effect_start_time: float = 0.0
+    lfo_phase: float = 0.0  # 0.0 to 1.0
+
+
+@dataclass
+class DemoConfig:
+    """Configuration for the demo animation."""
+
+    effect_cycle_duration: float = 3.0  # seconds per effect
+    gap_duration: float = 1.0  # seconds between effects
+    lfo_duration: float = (
+        4.0  # seconds for full LFO cycle (default → max → min → default)
+    )
+    phase_2_effect_duration: float = 4.0  # seconds per effect in phase 2
+    phase_3_lfo_duration: float = 6.0  # seconds for full waveform in phase 3
+
+
+class PipelineIntrospectionDemo:
+    """Controller for the 3-phase pipeline introspection demo.
+
+    Manages effect toggling and LFO modulation across the pipeline.
+    """
+
+    def __init__(
+        self,
+        pipeline: Any,
+        effect_names: list[str] | None = None,
+        config: DemoConfig | None = None,
+    ):
+        self._pipeline = pipeline
+        self._config = config or DemoConfig()
+        self._effect_names = effect_names or ["noise", "fade", "glitch", "firehose"]
+        self._phase = DemoPhase.PHASE_1_TOGGLE
+        self._phase_state = PhaseState(
+            phase=DemoPhase.PHASE_1_TOGGLE,
+            start_time=time.time(),
+        )
+        self._shared_oscillator: OscillatorSensor | None = None
+        self._frame = 0
+
+        # Register shared oscillator for phase 3
+        self._shared_oscillator = OscillatorSensor(
+            name="demo-lfo",
+            waveform="sine",
+            frequency=1.0 / self._config.phase_3_lfo_duration,
+        )
+
+    @property
+    def phase(self) -> DemoPhase:
+        return self._phase
+
+    @property
+    def phase_display(self) -> str:
+        """Get a human-readable phase description."""
+        phase_num = {
+            DemoPhase.PHASE_1_TOGGLE: 1,
+            DemoPhase.PHASE_2_LFO: 2,
+            DemoPhase.PHASE_3_SHARED_LFO: 3,
+        }
+        return f"Phase {phase_num[self._phase]}"
+
+    @property
+    def effect_names(self) -> list[str]:
+        return self._effect_names
+
+    @property
+    def shared_oscillator(self) -> OscillatorSensor | None:
+        return self._shared_oscillator
+
+    def update(self) -> dict[str, Any]:
+        """Update the demo state and return current parameters.
+
+        Returns:
+            dict with current effect settings for the pipeline
+        """
+        self._frame += 1
+        current_time = time.time()
+        elapsed = current_time - self._phase_state.start_time
+
+        # Phase transition logic
+        phase_duration = self._get_phase_duration()
+        if elapsed >= phase_duration:
+            self._advance_phase()
+
+        # Update based on current phase
+        if self._phase == DemoPhase.PHASE_1_TOGGLE:
+            return self._update_phase_1(current_time)
+        elif self._phase == DemoPhase.PHASE_2_LFO:
+            return self._update_phase_2(current_time)
+        else:
+            return self._update_phase_3(current_time)
+
+    def _get_phase_duration(self) -> float:
+        """Get duration of current phase in seconds."""
+        if self._phase == DemoPhase.PHASE_1_TOGGLE:
+            # Duration = (effect_time + gap) * num_effects + final_gap
+            return (
+                self._config.effect_cycle_duration + self._config.gap_duration
+            ) * len(self._effect_names) + self._config.gap_duration
+        elif self._phase == DemoPhase.PHASE_2_LFO:
+            return self._config.phase_2_effect_duration * len(self._effect_names)
+        else:
+            # Phase 3 runs indefinitely
+            return float("inf")
+
+    def _advance_phase(self) -> None:
+        """Advance to the next phase."""
+        if self._phase == DemoPhase.PHASE_1_TOGGLE:
+            self._phase = DemoPhase.PHASE_2_LFO
+        elif self._phase == DemoPhase.PHASE_2_LFO:
+            self._phase = DemoPhase.PHASE_3_SHARED_LFO
+            # Start the shared oscillator
+            if self._shared_oscillator:
+                self._shared_oscillator.start()
+        else:
+            # Phase 3 loops indefinitely - reset for demo replay after long time
+            self._phase = DemoPhase.PHASE_1_TOGGLE
+
+        self._phase_state = PhaseState(
+            phase=self._phase,
+            start_time=time.time(),
+        )
+
+    def _update_phase_1(self, current_time: float) -> dict[str, Any]:
+        """Phase 1: Toggle each effect on/off one at a time."""
+        effect_time = current_time - self._phase_state.effect_start_time
+
+        # Check if we should move to next effect
+        cycle_time = self._config.effect_cycle_duration + self._config.gap_duration
+        effect_index = int((current_time - self._phase_state.start_time) / cycle_time)
+
+        # Clamp to valid range
+        if effect_index >= len(self._effect_names):
+            effect_index = len(self._effect_names) - 1
+
+        # Calculate current effect state
+        in_gap = effect_time >= self._config.effect_cycle_duration
+
+        # Build effect states
+        effect_states: dict[str, dict[str, Any]] = {}
+        for i, name in enumerate(self._effect_names):
+            if i < effect_index:
+                # Past effects - leave at default
+                effect_states[name] = {"enabled": False, "intensity": 0.5}
+            elif i == effect_index:
+                # Current effect - toggle on/off
+                if in_gap:
+                    effect_states[name] = {"enabled": False, "intensity": 0.5}
+                else:
+                    effect_states[name] = {"enabled": True, "intensity": 1.0}
+            else:
+                # Future effects - off
+                effect_states[name] = {"enabled": False, "intensity": 0.5}
+
+        # Apply to effect registry
+        self._apply_effect_states(effect_states)
+
+        return {
+            "phase": "PHASE_1_TOGGLE",
+            "phase_display": self.phase_display,
+            "current_effect": self._effect_names[effect_index]
+            if effect_index < len(self._effect_names)
+            else None,
+            "effect_states": effect_states,
+            "frame": self._frame,
+        }
+
+    def _update_phase_2(self, current_time: float) -> dict[str, Any]:
+        """Phase 2: LFO drives intensity default → max → min → default."""
+        elapsed = current_time - self._phase_state.start_time
+        effect_index = int(elapsed / self._config.phase_2_effect_duration)
+        effect_index = min(effect_index, len(self._effect_names) - 1)
+
+        # Calculate LFO position (0 → 1 → 0)
+        effect_elapsed = elapsed % self._config.phase_2_effect_duration
+        lfo_position = effect_elapsed / self._config.phase_2_effect_duration
+
+        # LFO: 0 → 1 → 0 (triangle wave)
+        if lfo_position < 0.5:
+            lfo_value = lfo_position * 2  # 0 → 1
+        else:
+            lfo_value = 2 - lfo_position * 2  # 1 → 0
+
+        # Map to intensity: 0.3 (default) → 1.0 (max) → 0.0 (min) → 0.3 (default)
+        if lfo_position < 0.25:
+            # 0.3 → 1.0
+            intensity = 0.3 + (lfo_position / 0.25) * 0.7
+        elif lfo_position < 0.75:
+            # 1.0 → 0.0
+            intensity = 1.0 - ((lfo_position - 0.25) / 0.5) * 1.0
+        else:
+            # 0.0 → 0.3
+            intensity = ((lfo_position - 0.75) / 0.25) * 0.3
+
+        # Build effect states
+        effect_states: dict[str, dict[str, Any]] = {}
+        for i, name in enumerate(self._effect_names):
+            if i < effect_index:
+                # Past effects - default
+                effect_states[name] = {"enabled": True, "intensity": 0.5}
+            elif i == effect_index:
+                # Current effect - LFO modulated
+                effect_states[name] = {"enabled": True, "intensity": intensity}
+            else:
+                # Future effects - off
+                effect_states[name] = {"enabled": False, "intensity": 0.5}
+
+        # Apply to effect registry
+        self._apply_effect_states(effect_states)
+
+        return {
+            "phase": "PHASE_2_LFO",
+            "phase_display": self.phase_display,
+            "current_effect": self._effect_names[effect_index],
+            "lfo_value": lfo_value,
+            "intensity": intensity,
+            "effect_states": effect_states,
+            "frame": self._frame,
+        }
+
+    def _update_phase_3(self, current_time: float) -> dict[str, Any]:
+        """Phase 3: All effects with shared LFO driving full waveform."""
+        # Read shared oscillator
+        lfo_value = 0.5  # Default
+        if self._shared_oscillator:
+            sensor_val = self._shared_oscillator.read()
+            if sensor_val:
+                lfo_value = sensor_val.value
+
+        # All effects enabled with shared LFO
+        effect_states: dict[str, dict[str, Any]] = {}
+        for name in self._effect_names:
+            effect_states[name] = {"enabled": True, "intensity": lfo_value}
+
+        # Apply to effect registry
+        self._apply_effect_states(effect_states)
+
+        return {
+            "phase": "PHASE_3_SHARED_LFO",
+            "phase_display": self.phase_display,
+            "lfo_value": lfo_value,
+            "effect_states": effect_states,
+            "frame": self._frame,
+        }
+
+    def _apply_effect_states(self, effect_states: dict[str, dict[str, Any]]) -> None:
+        """Apply effect states to the effect registry."""
+        try:
+            registry = get_registry()
+            for name, state in effect_states.items():
+                effect = registry.get(name)
+                if effect:
+                    effect.config.enabled = state["enabled"]
+                    effect.config.intensity = state["intensity"]
+        except Exception:
+            pass  # Silently fail if registry not available
+
+    def cleanup(self) -> None:
+        """Clean up resources."""
+        if self._shared_oscillator:
+            self._shared_oscillator.stop()
+
+        # Reset all effects to default
+        self._apply_effect_states(
+            {name: {"enabled": False, "intensity": 0.5} for name in self._effect_names}
+        )

engine/pipeline/registry.py

@@ -89,17 +89,27 @@ def discover_stages() -> None:
     try:
         from engine.sources_v2 import (
             HeadlinesDataSource,
-            PipelineDataSource,
             PoetryDataSource,
         )
 
         StageRegistry.register("source", HeadlinesDataSource)
         StageRegistry.register("source", PoetryDataSource)
-        StageRegistry.register("source", PipelineDataSource)
 
         StageRegistry._categories["source"]["headlines"] = HeadlinesDataSource
         StageRegistry._categories["source"]["poetry"] = PoetryDataSource
-        StageRegistry._categories["source"]["pipeline"] = PipelineDataSource
+    except ImportError:
+        pass
+
+    # Register pipeline introspection source
+    try:
+        from engine.pipeline_sources.pipeline_introspection import (
+            PipelineIntrospectionSource,
+        )
+
+        StageRegistry.register("source", PipelineIntrospectionSource)
+        StageRegistry._categories["source"]["pipeline-inspect"] = (
+            PipelineIntrospectionSource
+        )
     except ImportError:
         pass
 

engine/pipeline_sources/__init__.py

@@ -0,0 +1,7 @@
+"""
+Data source implementations for the pipeline architecture.
+"""
+
+from engine.pipeline_sources.pipeline_introspection import PipelineIntrospectionSource
+
+__all__ = ["PipelineIntrospectionSource"]

engine/pipeline_sources/pipeline_introspection.py

@@ -0,0 +1,273 @@
+"""
+Pipeline introspection source - Renders live visualization of pipeline DAG and metrics.
+
+This DataSource introspects one or more Pipeline instances and renders
+an ASCII visualization showing:
+- Stage DAG with signal flow connections
+- Per-stage execution times
+- Sparkline of frame times
+- Stage breakdown bars
+
+Example:
+    source = PipelineIntrospectionSource(pipelines=[my_pipeline])
+    items = source.fetch()  # Returns ASCII visualization
+"""
+
+from typing import TYPE_CHECKING
+
+from engine.sources_v2 import DataSource, SourceItem
+
+if TYPE_CHECKING:
+    from engine.pipeline.controller import Pipeline
+
+
+SPARKLINE_CHARS = " ▁▂▃▄▅▆▇█"
+BAR_CHARS = " ▁▂▃▄▅▆▇█"
+
+
+class PipelineIntrospectionSource(DataSource):
+    """Data source that renders live pipeline introspection visualization.
+
+    Renders:
+    - DAG of stages with signal flow
+    - Per-stage execution times
+    - Sparkline of frame history
+    - Stage breakdown bars
+    """
+
+    def __init__(
+        self,
+        pipelines: list["Pipeline"] | None = None,
+        viewport_width: int = 100,
+        viewport_height: int = 35,
+    ):
+        self._pipelines = pipelines or []
+        self.viewport_width = viewport_width
+        self.viewport_height = viewport_height
+        self.frame = 0
+
+    @property
+    def name(self) -> str:
+        return "pipeline-inspect"
+
+    @property
+    def is_dynamic(self) -> bool:
+        return True
+
+    @property
+    def inlet_types(self) -> set:
+        from engine.pipeline.core import DataType
+
+        return {DataType.NONE}
+
+    @property
+    def outlet_types(self) -> set:
+        from engine.pipeline.core import DataType
+
+        return {DataType.SOURCE_ITEMS}
+
+    def add_pipeline(self, pipeline: "Pipeline") -> None:
+        """Add a pipeline to visualize."""
+        if pipeline not in self._pipelines:
+            self._pipelines.append(pipeline)
+
+    def remove_pipeline(self, pipeline: "Pipeline") -> None:
+        """Remove a pipeline from visualization."""
+        if pipeline in self._pipelines:
+            self._pipelines.remove(pipeline)
+
+    def fetch(self) -> list[SourceItem]:
+        """Fetch the introspection visualization."""
+        lines = self._render()
+        self.frame += 1
+        content = "\n".join(lines)
+        return [
+            SourceItem(
+                content=content, source="pipeline-inspect", timestamp=f"f{self.frame}"
+            )
+        ]
+
+    def get_items(self) -> list[SourceItem]:
+        return self.fetch()
+
+    def _render(self) -> list[str]:
+        """Render the full visualization."""
+        lines: list[str] = []
+
+        # Header
+        lines.extend(self._render_header())
+
+        if not self._pipelines:
+            lines.append("  No pipelines to visualize")
+            return lines
+
+        # Render each pipeline's DAG
+        for i, pipeline in enumerate(self._pipelines):
+            if len(self._pipelines) > 1:
+                lines.append(f"  Pipeline {i + 1}:")
+            lines.extend(self._render_pipeline(pipeline))
+
+        # Footer with sparkline
+        lines.extend(self._render_footer())
+
+        return lines
+
+    def _render_header(self) -> list[str]:
+        """Render the header with frame info and metrics summary."""
+        lines: list[str] = []
+
+        if not self._pipelines:
+            return ["┌─ PIPELINE INTROSPECTION ──────────────────────────────┐"]
+
+        # Get aggregate metrics
+        total_ms = 0.0
+        fps = 0.0
+        frame_count = 0
+
+        for pipeline in self._pipelines:
+            try:
+                metrics = pipeline.get_metrics_summary()
+                if metrics and "error" not in metrics:
+                    total_ms = max(total_ms, metrics.get("avg_ms", 0))
+                    fps = max(fps, metrics.get("fps", 0))
+                    frame_count = max(frame_count, metrics.get("frame_count", 0))
+            except Exception:
+                pass
+
+        header = f"┌─ PIPELINE INTROSPECTION ── frame: {self.frame} ─ avg: {total_ms:.1f}ms ─ fps: {fps:.1f} ─┐"
+        lines.append(header)
+
+        return lines
+
+    def _render_pipeline(self, pipeline: "Pipeline") -> list[str]:
+        """Render a single pipeline's DAG."""
+        lines: list[str] = []
+
+        stages = pipeline.stages
+        execution_order = pipeline.execution_order
+
+        if not stages:
+            lines.append("    (no stages)")
+            return lines
+
+        # Build stage info
+        stage_infos: list[dict] = []
+        for name in execution_order:
+            stage = stages.get(name)
+            if not stage:
+                continue
+
+            try:
+                metrics = pipeline.get_metrics_summary()
+                stage_ms = metrics.get("stages", {}).get(name, {}).get("avg_ms", 0.0)
+            except Exception:
+                stage_ms = 0.0
+
+            stage_infos.append(
+                {
+                    "name": name,
+                    "category": stage.category,
+                    "ms": stage_ms,
+                }
+            )
+
+        # Calculate total time for percentages
+        total_time = sum(s["ms"] for s in stage_infos) or 1.0
+
+        # Render DAG - group by category
+        lines.append("│")
+        lines.append("│  Signal Flow:")
+
+        # Group stages by category for display
+        categories: dict[str, list[dict]] = {}
+        for info in stage_infos:
+            cat = info["category"]
+            if cat not in categories:
+                categories[cat] = []
+            categories[cat].append(info)
+
+        # Render categories in order
+        cat_order = ["source", "render", "effect", "overlay", "display", "system"]
+
+        for cat in cat_order:
+            if cat not in categories:
+                continue
+
+            cat_stages = categories[cat]
+            cat_names = [s["name"] for s in cat_stages]
+            lines.append(f"│    {cat}: {' → '.join(cat_names)}")
+
+        # Render timing breakdown
+        lines.append("│")
+        lines.append("│  Stage Timings:")
+
+        for info in stage_infos:
+            name = info["name"]
+            ms = info["ms"]
+            pct = (ms / total_time) * 100
+            bar = self._render_bar(pct, 20)
+            lines.append(f"│    {name:12s} {ms:6.2f}ms {bar} {pct:5.1f}%")
+
+        lines.append("│")
+
+        return lines
+
+    def _render_footer(self) -> list[str]:
+        """Render the footer with sparkline."""
+        lines: list[str] = []
+
+        # Get frame history from first pipeline
+        if self._pipelines:
+            try:
+                frame_times = self._pipelines[0].get_frame_times()
+            except Exception:
+                frame_times = []
+        else:
+            frame_times = []
+
+        if frame_times:
+            sparkline = self._render_sparkline(frame_times[-60:], 50)
+            lines.append(
+                f"├─ Frame Time History (last {len(frame_times[-60:])} frames) ─────────────────────────────┤"
+            )
+            lines.append(f"│{sparkline}│")
+        else:
+            lines.append(
+                "├─ Frame Time History ─────────────────────────────────────────┤"
+            )
+            lines.append(
+                "│  (collecting data...)                                     │"
+            )
+
+        lines.append(
+            "└────────────────────────────────────────────────────────────────┘"
+        )
+
+        return lines
+
+    def _render_bar(self, percentage: float, width: int) -> str:
+        """Render a horizontal bar for percentage."""
+        filled = int((percentage / 100.0) * width)
+        bar = "█" * filled + "░" * (width - filled)
+        return bar
+
+    def _render_sparkline(self, values: list[float], width: int) -> str:
+        """Render a sparkline from values."""
+        if not values:
+            return " " * width
+
+        min_val = min(values)
+        max_val = max(values)
+        range_val = max_val - min_val or 1.0
+
+        result = []
+        for v in values[-width:]:
+            normalized = (v - min_val) / range_val
+            idx = int(normalized * (len(SPARKLINE_CHARS) - 1))
+            idx = max(0, min(idx, len(SPARKLINE_CHARS) - 1))
+            result.append(SPARKLINE_CHARS[idx])
+
+        # Pad to width
+        while len(result) < width:
+            result.insert(0, " ")
+        return "".join(result[:width])

engine/sensors/pipeline_metrics.py

@@ -0,0 +1,114 @@
+"""
+Pipeline metrics sensor - Exposes pipeline performance data as sensor values.
+
+This sensor reads metrics from a Pipeline instance and provides them
+as sensor values that can drive effect parameters.
+
+Example:
+    sensor = PipelineMetricsSensor(pipeline)
+    sensor.read()  # Returns SensorValue with total_ms, fps, etc.
+"""
+
+from typing import TYPE_CHECKING
+
+from engine.sensors import Sensor, SensorValue
+
+if TYPE_CHECKING:
+    from engine.pipeline.controller import Pipeline
+
+
+class PipelineMetricsSensor(Sensor):
+    """Sensor that reads metrics from a Pipeline instance.
+
+    Provides real-time performance data:
+    - total_ms: Total frame time in milliseconds
+    - fps: Calculated frames per second
+    - stage_timings: Dict of stage name -> duration_ms
+
+    Can be bound to effect parameters for reactive visuals.
+    """
+
+    def __init__(self, pipeline: "Pipeline | None" = None, name: str = "pipeline"):
+        self._pipeline = pipeline
+        self.name = name
+        self.unit = "ms"
+        self._last_values: dict[str, float] = {
+            "total_ms": 0.0,
+            "fps": 0.0,
+            "avg_ms": 0.0,
+            "min_ms": 0.0,
+            "max_ms": 0.0,
+        }
+
+    @property
+    def available(self) -> bool:
+        return self._pipeline is not None
+
+    def set_pipeline(self, pipeline: "Pipeline") -> None:
+        """Set or update the pipeline to read metrics from."""
+        self._pipeline = pipeline
+
+    def read(self) -> SensorValue | None:
+        """Read current metrics from the pipeline."""
+        if not self._pipeline:
+            return None
+
+        try:
+            metrics = self._pipeline.get_metrics_summary()
+        except Exception:
+            return None
+
+        if not metrics or "error" in metrics:
+            return None
+
+        self._last_values["total_ms"] = metrics.get("total_ms", 0.0)
+        self._last_values["fps"] = metrics.get("fps", 0.0)
+        self._last_values["avg_ms"] = metrics.get("avg_ms", 0.0)
+        self._last_values["min_ms"] = metrics.get("min_ms", 0.0)
+        self._last_values["max_ms"] = metrics.get("max_ms", 0.0)
+
+        # Provide total_ms as primary value (for LFO-style effects)
+        return SensorValue(
+            sensor_name=self.name,
+            value=self._last_values["total_ms"],
+            timestamp=0.0,
+            unit=self.unit,
+        )
+
+    def get_stage_timing(self, stage_name: str) -> float:
+        """Get timing for a specific stage."""
+        if not self._pipeline:
+            return 0.0
+        try:
+            metrics = self._pipeline.get_metrics_summary()
+            stages = metrics.get("stages", {})
+            return stages.get(stage_name, {}).get("avg_ms", 0.0)
+        except Exception:
+            return 0.0
+
+    def get_all_timings(self) -> dict[str, float]:
+        """Get all stage timings as a dict."""
+        if not self._pipeline:
+            return {}
+        try:
+            metrics = self._pipeline.get_metrics_summary()
+            return metrics.get("stages", {})
+        except Exception:
+            return {}
+
+    def get_frame_history(self) -> list[float]:
+        """Get historical frame times for sparklines."""
+        if not self._pipeline:
+            return []
+        try:
+            return self._pipeline.get_frame_times()
+        except Exception:
+            return []
+
+    def start(self) -> bool:
+        """Start the sensor (no-op for read-only metrics)."""
+        return True
+
+    def stop(self) -> None:
+        """Stop the sensor (no-op for read-only metrics)."""
+        pass

engine/sources_v2.py

@@ -94,38 +94,6 @@ class PoetryDataSource(DataSource):
         return [SourceItem(content=t, source=s, timestamp=ts) for t, s, ts in items]
 
 
-class PipelineDataSource(DataSource):
-    """Data source for pipeline visualization (demo mode). Dynamic - updates every frame."""
-
-    def __init__(self, viewport_width: int = 80, viewport_height: int = 24):
-        self.viewport_width = viewport_width
-        self.viewport_height = viewport_height
-        self.frame = 0
-
-    @property
-    def name(self) -> str:
-        return "pipeline"
-
-    @property
-    def is_dynamic(self) -> bool:
-        return True
-
-    def fetch(self) -> list[SourceItem]:
-        from engine.pipeline_viz import generate_large_network_viewport
-
-        buffer = generate_large_network_viewport(
-            self.viewport_width, self.viewport_height, self.frame
-        )
-        self.frame += 1
-        content = "\n".join(buffer)
-        return [
-            SourceItem(content=content, source="pipeline", timestamp=f"f{self.frame}")
-        ]
-
-    def get_items(self) -> list[SourceItem]:
-        return self.fetch()
-
-
 class MetricsDataSource(DataSource):
     """Data source that renders live pipeline metrics as ASCII art.
 
@@ -340,9 +308,6 @@ class SourceRegistry:
     def create_poetry(self) -> PoetryDataSource:
         return PoetryDataSource()
 
-    def create_pipeline(self, width: int = 80, height: int = 24) -> PipelineDataSource:
-        return PipelineDataSource(width, height)
-
 
 _global_registry: SourceRegistry | None = None
 

mise.toml

@@ -54,7 +54,7 @@ run-pipeline-firehose = { run = "uv run mainline.py --pipeline --pipeline-preset
 # =====================
 
 run-preset-demo = { run = "uv run mainline.py --preset demo --display pygame", depends = ["sync-all"] }
-run-preset-pipeline = { run = "uv run mainline.py --preset pipeline --display pygame", depends = ["sync-all"] }
+run-preset-pipeline-inspect = { run = "uv run mainline.py --preset pipeline-inspect --display terminal", depends = ["sync-all"] }
 
 # =====================
 # Command & Control

presets.toml

@@ -30,17 +30,6 @@ viewport_height = 24
 camera_speed = 0.5
 firehose_enabled = false
 
-[presets.pipeline]
-description = "Pipeline visualization mode"
-source = "pipeline"
-display = "terminal"
-camera = "trace"
-effects = ["hud"]
-viewport_width = 80
-viewport_height = 24
-camera_speed = 1.0
-firehose_enabled = false
-
 [presets.websocket]
 description = "WebSocket display mode"
 source = "headlines"
@@ -74,6 +63,17 @@ viewport_height = 24
 camera_speed = 2.0
 firehose_enabled = true
 
+[presets.pipeline-inspect]
+description = "Live pipeline introspection with DAG and performance metrics"
+source = "pipeline-inspect"
+display = "terminal"
+camera = "vertical"
+effects = ["hud"]
+viewport_width = 100
+viewport_height = 35
+camera_speed = 0.3
+firehose_enabled = false
+
 # Sensor configuration (for future use with param bindings)
 [sensors.mic]
 enabled = false

tests/test_pipeline.py

@@ -31,7 +31,7 @@ class TestStageRegistry:
         sources = StageRegistry.list("source")
         assert "HeadlinesDataSource" in sources
         assert "PoetryDataSource" in sources
-        assert "PipelineDataSource" in sources
+        assert "PipelineIntrospectionSource" in sources
 
     def test_discover_stages_registers_displays(self):
         """discover_stages registers display stages."""

tests/test_pipeline_introspection.py

@@ -0,0 +1,156 @@
+"""
+Tests for PipelineIntrospectionSource.
+"""
+
+from engine.pipeline_sources.pipeline_introspection import PipelineIntrospectionSource
+
+
+class TestPipelineIntrospectionSource:
+    """Tests for PipelineIntrospectionSource."""
+
+    def test_basic_init(self):
+        """Source initializes with defaults."""
+        source = PipelineIntrospectionSource()
+        assert source.name == "pipeline-inspect"
+        assert source.is_dynamic is True
+        assert source.frame == 0
+
+    def test_init_with_pipelines(self):
+        """Source initializes with custom pipelines list."""
+        source = PipelineIntrospectionSource(
+            pipelines=[], viewport_width=100, viewport_height=40
+        )
+        assert source.viewport_width == 100
+        assert source.viewport_height == 40
+
+    def test_inlet_outlet_types(self):
+        """Source has correct inlet/outlet types."""
+        source = PipelineIntrospectionSource()
+        # inlet should be NONE (source), outlet should be SOURCE_ITEMS
+        from engine.pipeline.core import DataType
+
+        assert DataType.NONE in source.inlet_types
+        assert DataType.SOURCE_ITEMS in source.outlet_types
+
+    def test_fetch_returns_items(self):
+        """fetch() returns SourceItem list."""
+        source = PipelineIntrospectionSource()
+        items = source.fetch()
+        assert len(items) == 1
+        assert items[0].source == "pipeline-inspect"
+
+    def test_fetch_increments_frame(self):
+        """fetch() increments frame counter."""
+        source = PipelineIntrospectionSource()
+        assert source.frame == 0
+        source.fetch()
+        assert source.frame == 1
+        source.fetch()
+        assert source.frame == 2
+
+    def test_get_items(self):
+        """get_items() returns list of SourceItems."""
+        source = PipelineIntrospectionSource()
+        items = source.get_items()
+        assert isinstance(items, list)
+        assert len(items) > 0
+        assert items[0].source == "pipeline-inspect"
+
+    def test_add_pipeline(self):
+        """add_pipeline() adds pipeline to list."""
+        source = PipelineIntrospectionSource()
+        mock_pipeline = object()
+        source.add_pipeline(mock_pipeline)
+        assert mock_pipeline in source._pipelines
+
+    def test_remove_pipeline(self):
+        """remove_pipeline() removes pipeline from list."""
+        source = PipelineIntrospectionSource()
+        mock_pipeline = object()
+        source.add_pipeline(mock_pipeline)
+        source.remove_pipeline(mock_pipeline)
+        assert mock_pipeline not in source._pipelines
+
+
+class TestPipelineIntrospectionRender:
+    """Tests for rendering methods."""
+
+    def test_render_header_no_pipelines(self):
+        """_render_header returns default when no pipelines."""
+        source = PipelineIntrospectionSource()
+        lines = source._render_header()
+        assert len(lines) == 1
+        assert "PIPELINE INTROSPECTION" in lines[0]
+
+    def test_render_bar(self):
+        """_render_bar creates correct bar."""
+        source = PipelineIntrospectionSource()
+        bar = source._render_bar(50, 10)
+        assert len(bar) == 10
+        assert bar.count("█") == 5
+        assert bar.count("░") == 5
+
+    def test_render_bar_zero(self):
+        """_render_bar handles zero percentage."""
+        source = PipelineIntrospectionSource()
+        bar = source._render_bar(0, 10)
+        assert bar == "░" * 10
+
+    def test_render_bar_full(self):
+        """_render_bar handles 100%."""
+        source = PipelineIntrospectionSource()
+        bar = source._render_bar(100, 10)
+        assert bar == "█" * 10
+
+    def test_render_sparkline(self):
+        """_render_sparkline creates sparkline."""
+        source = PipelineIntrospectionSource()
+        values = [1.0, 2.0, 3.0, 4.0, 5.0]
+        sparkline = source._render_sparkline(values, 10)
+        assert len(sparkline) == 10
+
+    def test_render_sparkline_empty(self):
+        """_render_sparkline handles empty values."""
+        source = PipelineIntrospectionSource()
+        sparkline = source._render_sparkline([], 10)
+        assert sparkline == " " * 10
+
+    def test_render_footer_no_pipelines(self):
+        """_render_footer shows collecting data when no pipelines."""
+        source = PipelineIntrospectionSource()
+        lines = source._render_footer()
+        assert len(lines) >= 2
+        assert "collecting data" in lines[1] or "Frame Time" in lines[0]
+
+
+class TestPipelineIntrospectionFull:
+    """Integration tests."""
+
+    def test_render_empty(self):
+        """_render works with no pipelines."""
+        source = PipelineIntrospectionSource()
+        lines = source._render()
+        assert len(lines) > 0
+        assert "PIPELINE INTROSPECTION" in lines[0]
+
+    def test_render_with_mock_pipeline(self):
+        """_render works with mock pipeline."""
+        source = PipelineIntrospectionSource()
+
+        class MockStage:
+            category = "source"
+            name = "test"
+
+        class MockPipeline:
+            stages = {"test": MockStage()}
+            execution_order = ["test"]
+
+            def get_metrics_summary(self):
+                return {"stages": {"test": {"avg_ms": 1.5}}, "avg_ms": 2.0, "fps": 60}
+
+            def get_frame_times(self):
+                return [1.0, 2.0, 3.0]
+
+        source.add_pipeline(MockPipeline())
+        lines = source._render()
+        assert len(lines) > 0

tests/test_pipeline_introspection_demo.py

@@ -0,0 +1,167 @@
+"""
+Tests for PipelineIntrospectionDemo.
+"""
+
+from engine.pipeline.pipeline_introspection_demo import (
+    DemoConfig,
+    DemoPhase,
+    PhaseState,
+    PipelineIntrospectionDemo,
+)
+
+
+class MockPipeline:
+    """Mock pipeline for testing."""
+
+    pass
+
+
+class MockEffectConfig:
+    """Mock effect config."""
+
+    def __init__(self):
+        self.enabled = False
+        self.intensity = 0.5
+
+
+class MockEffect:
+    """Mock effect for testing."""
+
+    def __init__(self, name):
+        self.name = name
+        self.config = MockEffectConfig()
+
+
+class MockRegistry:
+    """Mock effect registry."""
+
+    def __init__(self, effects):
+        self._effects = {e.name: e for e in effects}
+
+    def get(self, name):
+        return self._effects.get(name)
+
+
+class TestDemoPhase:
+    """Tests for DemoPhase enum."""
+
+    def test_phases_exist(self):
+        """All three phases exist."""
+        assert DemoPhase.PHASE_1_TOGGLE is not None
+        assert DemoPhase.PHASE_2_LFO is not None
+        assert DemoPhase.PHASE_3_SHARED_LFO is not None
+
+
+class TestDemoConfig:
+    """Tests for DemoConfig."""
+
+    def test_defaults(self):
+        """Default config has sensible values."""
+        config = DemoConfig()
+        assert config.effect_cycle_duration == 3.0
+        assert config.gap_duration == 1.0
+        assert config.lfo_duration == 4.0
+        assert config.phase_2_effect_duration == 4.0
+        assert config.phase_3_lfo_duration == 6.0
+
+
+class TestPhaseState:
+    """Tests for PhaseState."""
+
+    def test_defaults(self):
+        """PhaseState initializes correctly."""
+        state = PhaseState(phase=DemoPhase.PHASE_1_TOGGLE, start_time=0.0)
+        assert state.phase == DemoPhase.PHASE_1_TOGGLE
+        assert state.start_time == 0.0
+        assert state.current_effect_index == 0
+
+
+class TestPipelineIntrospectionDemo:
+    """Tests for PipelineIntrospectionDemo."""
+
+    def test_basic_init(self):
+        """Demo initializes with defaults."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        assert demo.phase == DemoPhase.PHASE_1_TOGGLE
+        assert demo.effect_names == ["noise", "fade", "glitch", "firehose"]
+
+    def test_init_with_custom_effects(self):
+        """Demo initializes with custom effects."""
+        demo = PipelineIntrospectionDemo(pipeline=None, effect_names=["noise", "fade"])
+        assert demo.effect_names == ["noise", "fade"]
+
+    def test_phase_display(self):
+        """phase_display returns correct string."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        assert "Phase 1" in demo.phase_display
+
+    def test_shared_oscillator_created(self):
+        """Shared oscillator is created."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        assert demo.shared_oscillator is not None
+        assert demo.shared_oscillator.name == "demo-lfo"
+
+
+class TestPipelineIntrospectionDemoUpdate:
+    """Tests for update method."""
+
+    def test_update_returns_dict(self):
+        """update() returns a dict with expected keys."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        result = demo.update()
+        assert "phase" in result
+        assert "phase_display" in result
+        assert "effect_states" in result
+
+    def test_update_phase_1_structure(self):
+        """Phase 1 has correct structure."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        result = demo.update()
+        assert result["phase"] == "PHASE_1_TOGGLE"
+        assert "current_effect" in result
+
+    def test_effect_states_structure(self):
+        """effect_states has correct structure."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        result = demo.update()
+        states = result["effect_states"]
+        for name in demo.effect_names:
+            assert name in states
+            assert "enabled" in states[name]
+            assert "intensity" in states[name]
+
+
+class TestPipelineIntrospectionDemoPhases:
+    """Tests for phase transitions."""
+
+    def test_phase_1_initial(self):
+        """Starts in phase 1."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        assert demo.phase == DemoPhase.PHASE_1_TOGGLE
+
+    def test_shared_oscillator_not_started_initially(self):
+        """Shared oscillator not started in phase 1."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        assert demo.shared_oscillator is not None
+        # The oscillator.start() is called when transitioning to phase 3
+
+
+class TestPipelineIntrospectionDemoCleanup:
+    """Tests for cleanup method."""
+
+    def test_cleanup_no_error(self):
+        """cleanup() runs without error."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        demo.cleanup()  # Should not raise
+
+    def test_cleanup_resets_effects(self):
+        """cleanup() resets effects."""
+        demo = PipelineIntrospectionDemo(pipeline=None)
+        demo._apply_effect_states(
+            {
+                "noise": {"enabled": True, "intensity": 1.0},
+                "fade": {"enabled": True, "intensity": 1.0},
+            }
+        )
+        demo.cleanup()
+        # If we had a mock registry, we could verify effects were reset

tests/test_pipeline_metrics_sensor.py

@@ -0,0 +1,113 @@
+"""
+Tests for PipelineMetricsSensor.
+"""
+
+from engine.sensors.pipeline_metrics import PipelineMetricsSensor
+
+
+class MockPipeline:
+    """Mock pipeline for testing."""
+
+    def __init__(self, metrics=None):
+        self._metrics = metrics or {}
+
+    def get_metrics_summary(self):
+        return self._metrics
+
+
+class TestPipelineMetricsSensor:
+    """Tests for PipelineMetricsSensor."""
+
+    def test_basic_init(self):
+        """Sensor initializes with defaults."""
+        sensor = PipelineMetricsSensor()
+        assert sensor.name == "pipeline"
+        assert sensor.available is False
+
+    def test_init_with_pipeline(self):
+        """Sensor initializes with pipeline."""
+        mock = MockPipeline()
+        sensor = PipelineMetricsSensor(mock)
+        assert sensor.available is True
+
+    def test_set_pipeline(self):
+        """set_pipeline() updates pipeline."""
+        sensor = PipelineMetricsSensor()
+        assert sensor.available is False
+        sensor.set_pipeline(MockPipeline())
+        assert sensor.available is True
+
+    def test_read_no_pipeline(self):
+        """read() returns None when no pipeline."""
+        sensor = PipelineMetricsSensor()
+        assert sensor.read() is None
+
+    def test_read_with_metrics(self):
+        """read() returns sensor value with metrics."""
+        mock = MockPipeline(
+            {
+                "total_ms": 18.5,
+                "fps": 54.0,
+                "avg_ms": 18.5,
+                "min_ms": 15.0,
+                "max_ms": 22.0,
+                "stages": {"render": {"avg_ms": 12.0}, "noise": {"avg_ms": 3.0}},
+            }
+        )
+        sensor = PipelineMetricsSensor(mock)
+        val = sensor.read()
+        assert val is not None
+        assert val.sensor_name == "pipeline"
+        assert val.value == 18.5
+
+    def test_read_with_error(self):
+        """read() returns None when metrics have error."""
+        mock = MockPipeline({"error": "No metrics collected"})
+        sensor = PipelineMetricsSensor(mock)
+        assert sensor.read() is None
+
+    def test_get_stage_timing(self):
+        """get_stage_timing() returns stage timing."""
+        mock = MockPipeline(
+            {
+                "stages": {"render": {"avg_ms": 12.0}, "noise": {"avg_ms": 3.0}},
+            }
+        )
+        sensor = PipelineMetricsSensor(mock)
+        assert sensor.get_stage_timing("render") == 12.0
+        assert sensor.get_stage_timing("noise") == 3.0
+        assert sensor.get_stage_timing("nonexistent") == 0.0
+
+    def test_get_stage_timing_no_pipeline(self):
+        """get_stage_timing() returns 0 when no pipeline."""
+        sensor = PipelineMetricsSensor()
+        assert sensor.get_stage_timing("test") == 0.0
+
+    def test_get_all_timings(self):
+        """get_all_timings() returns all stage timings."""
+        mock = MockPipeline(
+            {
+                "stages": {"render": {"avg_ms": 12.0}, "noise": {"avg_ms": 3.0}},
+            }
+        )
+        sensor = PipelineMetricsSensor(mock)
+        timings = sensor.get_all_timings()
+        assert timings == {"render": {"avg_ms": 12.0}, "noise": {"avg_ms": 3.0}}
+
+    def test_get_frame_history(self):
+        """get_frame_history() returns frame times."""
+        MockPipeline()
+
+        class MockPipelineWithFrames:
+            def get_frame_times(self):
+                return [1.0, 2.0, 3.0]
+
+        sensor = PipelineMetricsSensor(MockPipelineWithFrames())
+        history = sensor.get_frame_history()
+        assert history == [1.0, 2.0, 3.0]
+
+    def test_start_stop(self):
+        """start() and stop() work."""
+        sensor = PipelineMetricsSensor()
+        assert sensor.start() is True
+        sensor.stop()  # Should not raise