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client-monitor-js

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A JavaScript library for monitoring WebRTC statistics

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# @observertc/client-monitor-js

**JavaScript library to monitor WebRTC applications**

@observertc/client-monitor-js is a client-side library to monitor [WebRTCStats](https://www.w3.org/TR/webrtc-stats/) and integrate your app with ObserveRTC components.

[![npm version](https://badge.fury.io/js/@observertc%2Fclient-monitor-js.svg)](https://badge.fury.io/js/@observertc%2Fclient-monitor-js)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

## Table of Contents

1. [Installation](#installation)
2. [Quick Start](#quick-start)
3. [Integrations](#integrations)
4. [Configuration](#configuration)
5. [ClientMonitor](#clientmonitor)
6. [Detectors](#detectors)
7. [Score Calculation](#score-calculation)
8. [Collecting and Adapting Stats](#collecting-and-adapting-stats)
9. [Sampling](#sampling)
10. [Events and Issues](#events-and-issues)
11. [WebRTC Stats Monitors](#webrtc-stats-monitors)
12. [Stats Adapters](#stats-adapters)
13. [Derived Metrics](#derived-metrics)
14. [Schema Reference](#schema-reference)
15. [Examples](#examples)
16. [Troubleshooting](#troubleshooting)
17. [API Reference](#api-reference)
18. [FAQ](#faq)

## Installation

```bash
npm install @observertc/client-monitor-js
```

```bash
yarn add @observertc/client-monitor-js
```

## Quick Start

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";

// Create a monitor with default configuration
const monitor = new ClientMonitor({
    clientId: "my-client-id",
    callId: "my-call-id",
    collectingPeriodInMs: 2000,
    samplingPeriodInMs: 4000,
});

// Add a peer connection to monitor
monitor.addSource(peerConnection);

// Listen for samples
monitor.on("sample-created", (sample) => {
    console.log("Sample created:", sample);
    // Send sample to your analytics backend
});

// Listen for issues
monitor.on("issue", (issue) => {
    console.log("Issue detected:", issue);
});

// Close when done
monitor.close();
```

## Integrations

### RTCPeerConnection Integration

Direct integration with native WebRTC PeerConnections:

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";

const peerConnection = new RTCPeerConnection();
const monitor = new ClientMonitor();

// Add the peer connection for monitoring
monitor.addSource(peerConnection);
```

### Mediasoup Integration

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";
import mediasoup from "mediasoup-client";

const device = new mediasoup.Device();
const monitor = new ClientMonitor();

// Monitor the mediasoup device
monitor.addSource(device);

// The monitor will automatically detect new transports created after adding the device
const transport = device.createSendTransport(/* ... */);

// For transports created before adding the device, add them manually:
monitor.addSource(transport);
```

**Important**: When adding a mediasoup device, the monitor automatically hooks into the `newtransport` event to detect newly created transports. However, transports created before adding the device must be added manually.

### Logger Integration

Customize logging behavior by providing your own logger to `ClientMonitor`.
The same logger instance is propagated to source and monitor internals.
Log messages include module prefixes such as `[ClientMonitor]:` and `[Sources]:`.
If no logger is provided, the default logger logs `warn` and `error` to console and treats `trace`/`debug`/`info` as no-op.

#### Basic Custom Logger

```javascript
import { ClientMonitor, Logger } from "@observertc/client-monitor-js";

const customLogger: Logger = {
    trace: (...args) => console.trace(...args),
    debug: (...args) => console.debug(...args),
    info: (...args) => console.info(...args),
    warn: (...args) => console.warn(...args),
    error: (...args) => console.error(...args),
};

const monitor = new ClientMonitor({
    logger: customLogger,
});
```

#### Production Logger Adapter

Map your existing app logger to the `Logger` interface:

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";
import pino from "pino";

const appLogger = pino({ level: "info" });

const monitor = new ClientMonitor({
    logger: {
        trace: (...args) => appLogger.trace(...args),
        debug: (...args) => appLogger.debug(...args),
        info: (...args) => appLogger.info(...args),
        warn: (...args) => appLogger.warn(...args),
        error: (...args) => appLogger.error(...args),
    },
});
```

#### Disable Logging

```javascript
const noop = () => {};

const monitor = new ClientMonitor({
    logger: {
        trace: noop,
        debug: noop,
        info: noop,
        warn: noop,
        error: noop,
    },
});
```

## Configuration

The `ClientMonitor` accepts a comprehensive configuration object. All configuration options are optional except when specifically noted:

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";

const monitor = new ClientMonitor({
    // Basic configuration (all optional)
    clientId: "unique-client-id",
    callId: "unique-call-id",
    collectingPeriodInMs: 2000, // Default: 2000ms
    samplingPeriodInMs: 4000, // Optional, no default

// Integration settings (optional with defaults)
    integrateNavigatorMediaDevices: true, // Default: true
    addClientJointEventOnCreated: true, // Default: true
    addClientLeftEventOnClose: true, // Default: true
    bufferingEventsForSamples: false, // Default: false

// Detector configurations (all optional).
    //
    //   • Omit the key (or pass `undefined`) → defaults applied.
    //   • Pass `null`                         → detector is NOT constructed at all.
    //   • Pass an object                      → detector enabled with your overrides.
    //
    // After construction, every built-in detector also exposes a public `disabled`
    // boolean flag — flip it at runtime to silence the detector without removing it.
    audioDesyncDetector: {
        fractionalCorrectionAlertOnThreshold: 0.1,
        fractionalCorrectionAlertOffThreshold: 0.05,
    },

congestionDetector: {
        sensitivity: "medium", // 'low', 'medium', 'high'
    },

cpuPerformanceDetector: {
        incomingDecodedFramesRatioThresholds: {
            alertOn: 0.7,
            alertOff: 0.85,
            minReceivedFrames: 10,
        },
        durationOfCollectingStatsThreshold: {
            lowWatermark: 5000,
            highWatermark: 10000,
        },
        encoderCpuLimitationShareThreshold: 0.3, // share of the interval spent CPU-limited
        encodeTimeBudgetRatio: 0.8,              // share of the per-frame budget encoding may use
    },

dryInboundTrackDetector: { thresholdInMs: 5000 },
    dryOutboundTrackDetector: { thresholdInMs: 5000 },
    videoFreezesDetector: {},
    playoutDiscrepancyDetector: {
        lowSkewThreshold: 2,
        highSkewThreshold: 5,
    },
    syntheticSamplesDetector: {
        minSynthesizedSamplesDuration: 1000,
    },
    longPcConnectionEstablishmentDetector: {
        thresholdInMs: 5000,
    },
    iceConnectivityDetector: {
        disconnectedThresholdInMs: 5000,   // how long `disconnected` must last before an issue
        transportStallThresholdInMs: 5000, // sending but receiving nothing for this long
        pathSwitchWindowInMs: 30000,       // window for counting selected-path switches
        pathSwitchThreshold: 3,            // switches in that window => unstable path
        iceRestartRecommendationThresholdInMs: 10000, // before recommending a restart
        iceRestartRecommendationCooldownInMs: 15000,  // min gap between recommendations
        createEvent: true,
    },

audioConcealmentDetector: {
        onThreshold: 0.03,        // Webex treats >3% concealment as significant, >5% as severe
        offThreshold: 0.01,
        windowInMs: 15000,        // spans several collections even at a 5s collecting period
        minSamplesInWindow: 24000,
    },
    jitterBufferStressDetector: {
        targetDelayThresholdInMs: 200,
        timeStretchThreshold: 0.02,
        minConsecutiveTicks: 2,
    },
    decoderPerformanceDetector: {
        decodeTimeBudgetRatio: 0.8,  // share of the per-frame budget decoding may use
        dropRatioThreshold: 0.1,
        minFramesReceived: 10,
        quietLossThreshold: 0.02,    // above this, blame the network instead
        minConsecutiveTicks: 2,
    },
    videoRecoveryDetector: {
        windowInMs: 30000,
        pliRateAlertOn: 0.5,         // real-world storms run ~0.5-0.7 PLI/s sustained
        pliRateAlertOff: 0.15,
        recoveryFailedThresholdInMs: 5000,
        recoveryFailedMinPliCount: 2,
    },
    stuckDecoderDetector: {
        thresholdInMs: 4000,   // floor; effective wait = max(this, rttMultiplier x RTT)
        rttMultiplier: 15,     // high-RTT paths get more time to recover legitimately
        minStuckTicks: 2,      // never judge on fewer observations than this
        minBitrate: 10000,     // bps below which this is a dry track, not a wedge
        minPliCount: 2,
    },
    sourceEncoderBottleneckDetector: {
        captureFpsRatioThreshold: 0.5,
        minSourceFps: 5,
        encodeFpsRatioThreshold: 0.7,
        encodeTimeBudgetRatio: 0.8,
        cpuLimitationShareThreshold: 0.3,
        minConsecutiveTicks: 2,
    },
    captureFailureDetector: {
        silenceThresholdInMs: 30000, // long on purpose: silence != a broken mic
        silenceRmsThreshold: 0.001,
        createEvent: true,
    },

// Observations — these emit events and never raise issues.
    codecChangeDetector: { createEvent: true },
    videoResolutionChangeDetector: { createEvent: true },
    simulcastLayerDetector: { createEvent: true },
    statsGapDetector: {
        gapRatioThreshold: 2, // multiple of collectingPeriodInMs that counts as a gap
        minGapInMs: 5000,     // a single missed short tick is jitter, not a gap
        createEvent: true,
    },

// To outright disable a detector at construction time, pass `null`:
    //   freezedVideoDetector: null,
    //   playoutDiscrepancyDetector: null,

// Application data (optional)
    appData: {
        userId: "user-123",
        roomId: "room-456",
    },
});
```

**Important**: You can create a monitor with minimal configuration or even no configuration at all:

```javascript
// Minimal configuration
const monitor = new ClientMonitor({
    clientId: "my-client",
    collectingPeriodInMs: 1000,
});

// No configuration (uses all defaults)
const monitor = new ClientMonitor();
```

## ClientMonitor

The `ClientMonitor` is the main class that orchestrates WebRTC monitoring, statistics collection, and anomaly detection.

### Core Features

-   **Multi-source monitoring**: Supports RTCPeerConnection, mediasoup devices and transports
-   **Automatic stats collection**: Periodically collects WebRTC statistics
-   **Real-time anomaly detection**: Built-in detectors for common issues
-   **Performance scoring**: Calculates quality scores for connections and tracks
-   **Event generation**: Emits events for WebRTC state changes and issues
-   **Sampling**: Creates periodic snapshots of the client state

### Public Methods

#### Core Methods

-   **`addSource(source: RTCPeerConnection | MediasoupDevice | MediasoupTransport)`**: Adds a source for monitoring
-   **`close()`**: Closes the monitor and stops all monitoring activities
-   **`collect()`**: Manually collects stats from all monitored sources
-   **`createSample()`**: Creates a client sample with current state

#### Configuration Methods

-   **`setCollectingPeriod(periodInMs: number)`**: Updates the stats collection interval
-   **`setSamplingPeriod(periodInMs: number)`**: Updates the sampling interval
-   **`setScore(score: number, reasons?: Record<string, number>)`**: Manually sets the client score

#### Event & Issue Methods

-   **`addEvent(event: ClientEvent)`**: Adds an immutable client event.
-   **`addIssue({ type, payload?, timestamp? })`**: Adds a one-shot issue (fire-and-forget). Emits `'issue'` and buffers into the next sample but never enters the active store and cannot be resolved. Use this for incidents with no "ended" condition (e.g. `USER_MEDIA_ERROR`).
-   **`raiseIssue(key, { type, payload?, timestamp? })`**: Creates or refreshes a stateful, resolvable issue keyed by `key`. Re-raising with the same key updates the entry in place and emits `'issue-updated'`. See the [Events and Issues](#events-and-issues) section for the full lifecycle.
-   **`resolveIssue(key, { comment?, payload?, resolvedAt? })`**: Resolves a stateful issue by its key. `payload`, when supplied, overwrites the active payload — that's how built-in detectors enrich the resolution record with `durationInMs`. Emits `'issue-resolved'`.
-   **`getActiveIssuesByType(type?)`**: Snapshot of currently active stateful issues, optionally filtered by `type`.
-   **`isIssueActive(key)`**: `true` when a stateful issue with the given `key` is active.
-   **`addMetaData(metaData: ClientMetaData)`**: Adds metadata.
-   **`addExtensionStats(stats: ExtensionStat)`**: Adds custom extension stats.

#### Utility Methods

-   **`getTrackMonitor(trackId: string)`**: Retrieves a track monitor by ID
-   **`watchMediaDevices()`**: Integrates with navigator.mediaDevices
-   **`fetchUserAgentData()`**: Fetches browser user agent information

### Properties

-   **`score`**: Current client performance score (0.0-5.0)
-   **`scoreReasons`**: Detailed score calculation reasons
-   **`closed`**: Whether the monitor is closed
-   **`config`**: Current configuration
-   **`detectors`**: Detector management instance
-   **`peerConnections`**: Array of monitored peer connections
-   **`tracks`**: Array of monitored tracks
-   **`activeIssues`**: `Map<string, RaisedClientIssue>` keyed by issue `key` — currently active stateful issues. Read-only by convention; use `getActiveIssuesByType` / `isIssueActive` instead of touching this directly.

## Detectors

Detectors are specialized components that monitor for specific anomalies and issues in WebRTC connections. Each detector focuses on a particular aspect of the connection quality.

### Built-in Detectors

#### AudioDesyncDetector

Detects audio synchronization issues by monitoring sample corrections.

**Triggers on:**

-   Audio acceleration/deceleration corrections exceed thresholds
-   Indicates audio-video sync problems

**Configuration:**

```javascript
audioDesyncDetector: {
    fractionalCorrectionAlertOnThreshold: 0.1,  // 10% correction rate triggers alert
    fractionalCorrectionAlertOffThreshold: 0.05, // 5% correction rate clears alert
}
```

#### CongestionDetector

Monitors network congestion by analyzing available bandwidth vs. usage.

**Triggers on:**

-   Available bandwidth falls below sending/receiving bitrates
-   Network congestion conditions

**Configuration:**

```javascript
congestionDetector: {
    sensitivity: 'medium', // 'low', 'medium', 'high'
}
```

#### CpuPerformanceDetector

Detects CPU performance issues affecting media processing.

**Triggers on:**

-   Outbound RTP quality limitation reason is `'cpu'`
-   Inbound decoded/received frames ratio drops below threshold (the decoder cannot keep up with received frames — a sign of decode-side CPU limitation)
-   Stats collection takes too long (indicating CPU stress)

> **Why not FPS volatility?** Earlier versions inferred decode CPU pressure from frame-rate volatility. That false-triggered on content such as screen share, whose fps legitimately swings (e.g. 15 → 1 fps when the shared content goes static). The decoded/received ratio is robust to this: when fps drops legitimately, received and decoded frames drop together so the ratio stays near 1.0. An alert only fires when frames are received but not decoded.

**Configuration:**

```javascript
cpuPerformanceDetector: {
    incomingDecodedFramesRatioThresholds: {
        alertOn: 0.7,        // alert ON when <70% of received frames are decoded
        alertOff: 0.85,      // alert OFF once >=85% are decoded again (hysteresis)
        minReceivedFrames: 10, // skip intervals with fewer received frames (low-fps noise guard)
    },
    durationOfCollectingStatsThreshold: {
        lowWatermark: 5000,
        highWatermark: 10000,
    },
}
```

#### DryInboundTrackDetector

Detects inbound tracks that stop receiving data.

**Triggers on:**

-   Inbound track receives no data for specified duration
-   Track stalling or connection issues

**Configuration:**

```javascript
dryInboundTrackDetector: {
    thresholdInMs: 5000,
}
```

#### DryOutboundTrackDetector

Detects outbound tracks that stop sending data.

**Triggers on:**

-   Outbound track sends no data for specified duration
-   Local media issues or encoding problems

**Configuration:**

```javascript
dryOutboundTrackDetector: {
    thresholdInMs: 5000,
}
```

#### FreezedVideoTrackDetector

Detects frozen video tracks.

**Triggers on:**

-   Video frames stop updating
-   Video freeze conditions

**Configuration:**

```javascript
videoFreezesDetector: {
}
```

#### PlayoutDiscrepancyDetector

Detects discrepancies between received and rendered frames.

**Triggers on:**

-   Frame skew exceeds thresholds
-   Video playout buffer issues

**Configuration:**

```javascript
playoutDiscrepancyDetector: {
    lowSkewThreshold: 2,
    highSkewThreshold: 5,
}
```

#### SynthesizedSamplesDetector

Detects when audio playout synthesizes samples due to missing data.

**Triggers on:**

-   Synthesized audio samples exceed duration threshold
-   Audio gaps requiring interpolation

**Configuration:**

```javascript
syntheticSamplesDetector: {
    minSynthesizedSamplesDuration: 1000,
}
```

#### LongPcConnectionEstablishmentDetector

Detects slow peer connection establishment.

**Triggers on:**

-   Peer connection takes too long to establish
-   Connection setup issues

**Configuration:**

```javascript
longPcConnectionEstablishmentDetector: {
    thresholdInMs: 5000,
}
```

#### IceConnectivityDetector

Runtime ICE and transport health, per ICE transport. Peer-connection setup latency
is **not** in scope — `LongPcConnectionEstablishmentDetector` covers that.

**Raises:**

-   `ice-disconnected` — the transport stayed `disconnected` past
    `disconnectedThresholdInMs`. Transient blips, which ICE usually heals on its
    own, never raise an issue.
-   `ice-connection-failed` — ICE reached `failed`, which is terminal for that
    generation.
-   `ice-transport-stalled` — deliberately narrow: raised only while this endpoint
    is still **sending** on a succeeded pair of a connected transport but receives
    nothing, and only after inbound traffic had previously been observed. "No
    traffic in either direction" is *not* reported, because at peer-connection
    level it cannot be told apart from a legitimately idle or paused connection.
-   `unstable-ice-path` — the selected path switched `pathSwitchThreshold` times
    within `pathSwitchWindowInMs`.

**Emits:**

-   `'ice-restart-recommended'` — see below.
-   `'ice-restart'` — a new ICE generation was inferred from a changed ICE
    username fragment, with `outcome` of `'detected'`, `'recovered'` or
    `'failed'`. A `connected → checking` transition alone is never treated as a
    restart.

##### Recommending an ICE restart

The library detects **when** a restart is warranted; performing it stays with the
application. Only the application knows whether renegotiation is safe right now,
whether signalling is up, and whether it would rather tear the call down — so the
detector names the moment and gets out of the way.

A recommendation fires when ICE reaches `failed` (immediately — it never
self-heals), or when `disconnected`, an inbound stall, or an unfinished
establishment outlasts `iceRestartRecommendationThresholdInMs`. The `reason`
tells you which:

| `reason` | Meaning |
|---|---|
| `ice-failed` | ICE gave up on this generation. |
| `ice-disconnected` | `disconnected` outlasted the window in which ICE usually self-heals. |
| `transport-stalled` | ICE still reports connected, but the selected path stopped delivering. |
| `never-established` | The peer connection never finished connecting. Tracked from `connectionState`, which covers the DTLS handshake too — a connection can sit in `connecting` while every ICE transport reports `connected`. |

`LongPcConnectionEstablishmentDetector` reports that setup is *slow* at its own
(shorter) threshold; the `never-established` recommendation says it is not going
to happen on its own. The two thresholds form an escalation, not a duplicate
report. While a restart the application already started is in flight, the
detector stays quiet. Repeat recommendations are spaced
by `iceRestartRecommendationCooldownInMs`, and each carries a
`recommendationCount` and the current `iceGeneration` so you can back off after
repeated failed attempts.

```typescript
monitor.on('ice-restart-recommended', ({ peerConnectionMonitor, reason, recommendationCount }) => {
    if (3 <= recommendationCount) return rejoinTheCall();   // restarts are not helping

// your application decides — the library never restarts ICE itself
    myRtcPeerConnection.restartIce();
    // or, with mediasoup: ask the server for new ICE parameters and
    // transport.restartIce({ iceParameters })
    console.warn(`ICE restart recommended (${reason})`, peerConnectionMonitor.peerConnectionId);
});
```

#### AudioConcealmentDetector

Reports how the audio actually *sounded*, which packet loss does not. Opus and
NetEQ conceal a great deal of loss inaudibly, and conversely audio degrades
without dramatic loss when the jitter buffer misbehaves — so concealment is both
the more sensitive and the more specific signal.

The rate is **audible** concealment only: `concealedSamples` also rises during
ordinary silence, so `silentConcealedSamples` is subtracted before the detector
sees the number. Without that subtraction this would flag every quiet moment in
every call.

**Raises:** `audio-concealment`, with `concealmentRate`, `concealmentEventRate`
and a `burstiness` of `'bursty'` (many short clicks) or `'continuous'` (fewer,
longer dropouts) — they sound different and have different causes.

It stays silent while the remote track is paused, and while too few samples
arrived in the window to judge.

```javascript
audioConcealmentDetector: {
    onThreshold: 0.03,
    offThreshold: 0.01,
    windowInMs: 5000,
    minSamplesInWindow: 24000,
}
```

#### JitterBufferStressDetector

The complement to `AudioConcealmentDetector`: it separates "network jitter
absorbed cleanly" from "the jitter buffer ballooned, adding latency and
stretching audio to cope".

Both conditions are required, deliberately. A high target delay on its own means
NetEQ is *succeeding* — buying latency to hide jitter, with the user hearing
nothing wrong. Time stretching on its own is ordinary clock-drift correction. It
is the two together that mean the buffer is fighting the network and losing.

**Raises:** `audio-jitter-buffer-stress`.

```javascript
jitterBufferStressDetector: {
    targetDelayThresholdInMs: 200,
    timeStretchThreshold: 0.02,
    minConsecutiveTicks: 2,
}
```

#### DecoderPerformanceDetector

The receive-side sibling of CPU limitation, and the piece that makes
network-versus-client attribution possible. Frames dropped because they never
arrived and frames dropped because the client could not decode them look
identical in a frame-rate chart, and the fixes are opposite — so this detector
fires only when the frames demonstrably *did* arrive: enough frames received,
loss below `quietLossThreshold`, and either decode time past the per-frame
budget or frames dropped after arrival.

The budget is derived from the stream's own frame rate (33 ms at 30 fps, 66 ms
at 15 fps), so a static screen share dropping to 1 fps does not trip it.

**Raises:** `video-decoder-overloaded`, carrying `decoderImplementation` and
`powerEfficientDecoder` — a software decoder on a codec the device can do in
hardware is the most actionable finding here.

```javascript
decoderPerformanceDetector: {
    decodeTimeBudgetRatio: 0.8,
    dropRatioThreshold: 0.1,
    minFramesReceived: 10,
    quietLossThreshold: 0.02,
    minConsecutiveTicks: 2,
}
```

#### Video recovery (part of `FreezedVideoTrackDetector`)

`FreezedVideoTrackDetector` owns the whole freeze / repair domain: it derives
the track's freeze state (a freeze persists until frames render again, not just
until the next tick) and watches the repair loop — PLI/FIR out, keyframes back
in. The `videoRecoveryDetector` config gates the two repair-loop issues:

-   `keyframe-storm` — a sustained PLI rate. Worth its own issue because it is
    self-reinforcing: keyframes are several times the size of delta frames, so a
    burst of them worsens exactly the congestion that provoked the PLIs.
-   `video-recovery-failed` — PLIs going out repeatedly, the picture still
    frozen, and `keyFramesDecoded` *not* advancing. This is the valuable one for
    debugging an SFU: it says the repair request left the client and nothing came
    back, which points at forwarding rather than at the first-hop network.

```javascript
videoRecoveryDetector: {
    windowInMs: 30000,
    pliRateAlertOn: 0.5,
    pliRateAlertOff: 0.15,
    recoveryFailedThresholdInMs: 5000,
    recoveryFailedMinPliCount: 2,
}
```

#### StuckDecoderDetector

Detects the per-consumer decode wedge: RTP bytes keep arriving but no frame
ever decodes again — a corrupt or incomplete frame broke the decode chain, PLIs
go out continuously, keyframes may even be generated upstream, and this
consumer never assembles a usable frame until it is recreated.

The fingerprint is `bytesReceived` rising + `framesReceived` flat + `pliCount`
rising + `keyFramesDecoded` flat. The "bytes still flowing" condition is what
separates it from everything nearby: a dry track has no bytes, and
`video-recovery-failed` reports an unanswered repair request without saying
whether the pipe is dead or the decoder is. It reads only RTP deltas, so it
works regardless of browser freeze statistics.

A wedge never self-heals, so the wait only needs to outlast a *legitimate*
PLI → keyframe recovery — and that cost scales with the connection, not with a
fixed number of seconds. The effective wait is
`max(thresholdInMs, rttMultiplier × RTT)`, at least `minStuckTicks`
collections, with `minBitrate` (a rate, so it means the same thing at every
collecting period) confirming the stream is actually being delivered.

**Raises:** `stuck-decoder`, with a `variant` (`'assembly'`: no frame ever
reassembled; `'decode'`: frames assemble but never decode), the accumulated
dead bytes, and the PLI count since the wedge began.

**Mitigation hook:** recreating the consumer is the known workaround — listen
for the `stuck-decoder` monitor event:

```typescript
monitor.on('stuck-decoder', ({ trackMonitor, variant, deadBytesReceived }) => {
    // the stream is being delivered but nothing decodes — recreate the consumer
    recreateConsumerFor(trackMonitor.track.id);
});
```

```javascript
stuckDecoderDetector: {
    thresholdInMs: 4000,
    rttMultiplier: 15,
    minStuckTicks: 2,
    minBitrate: 10000,
    minPliCount: 2,
}
```

#### SourceEncoderBottleneckDetector

Splits one symptom — "we are sending fewer frames than we should" — into its two
causes, which from RTP alone are indistinguishable:

-   `capture-bottleneck` — the *source* never produced the frames. A camera
    throttling in low light, an OS capture stall, a device the browser is quietly
    downgrading. Nothing the encoder or the network can do about it.
-   `encoder-bottleneck` — the source produced frames and the encoder could not
    keep up. Carries `encodeTimePerFrameInMs`, `cpuLimitationShare`,
    `encoderImplementation` and `powerEfficientEncoder`.

The discriminator is `MediaSourceMonitor.sourceFps` against what the highest
active layer actually encoded.

```javascript
sourceEncoderBottleneckDetector: {
    captureFpsRatioThreshold: 0.5,
    minSourceFps: 5,
    encodeFpsRatioThreshold: 0.7,
    encodeTimeBudgetRatio: 0.8,
    cpuLimitationShareThreshold: 0.3,
    minConsecutiveTicks: 2,
}
```

#### CaptureFailureDetector

Watches the source end of an outbound track, where several very common
user-visible failures originate and none of them show up in RTP.

**Raises:** `capture-track-ended` (the device is gone), `silent-audio-source`
(the microphone is live and producing nothing).

**Emits:** `'capture-track-ended'`, `'capture-track-muted'` (the OS or another
application took the device), plus the matching client events.

The silence threshold is 30 seconds by default, and long on purpose: a
microphone capturing digital silence and a person not talking are the same
measurement, and only duration separates them. The check requires the track to
be live, enabled and unmuted — a muted microphone is silent deliberately and is
reported as a mute, not a failure. The level comes from
`MediaSourceMonitor.rmsAudioLevel`, which integrates `totalAudioEnergy` over the
interval, rather than the instantaneous `audioLevel` that reads zero between
words.

```javascript
captureFailureDetector: {
    silenceThresholdInMs: 30000,
    silenceRmsThreshold: 0.001,
    createEvent: true,
}
```

#### Observation detectors

These four emit events and **never raise issues** — they describe things that are
not faults but are the missing context in most investigations.

| Detector | Monitor event | Client event | What it answers |
|---|---|---|---|
| `CodecChangeDetector` | `codec-changed` | `CODEC_CHANGED` | "Why do all the bad calls use H264?" Compares `sdpFmtpLine` too, so a profile switch within one mime type is caught. |
| `VideoResolutionChangeDetector` | `video-resolution-changed` | `VIDEO_RESOLUTION_CHANGED` | The adaptation ladder. On outbound tracks it carries `qualityLimitationReason`, which is what separates encoder adaptation from the application changing its constraints. Classified as `upgrade`, `downgrade` or `reshape` (an orientation flip). |
| `SimulcastLayerDetector` | `simulcast-layer-changed` | `SIMULCAST_LAYER_CHANGED` | Which layers are actually being sent. A layer counts as active only if it sent bytes — `active: true` with no bytes is the common shape of a layer the encoder quietly gave up on. |
| `StatsGapDetector` | `stats-collection-gap` | `STATS_COLLECTION_GAP` | Protects the monitor from itself: a backgrounded tab or sleeping device makes the next tick attribute a large accumulation to a short window. The gap is reported rather than corrected, because the counters cannot say when within it the traffic happened. |

### Custom Detectors

Create custom detectors by implementing the `Detector` interface:

```typescript
import { Detector, ClientMonitor } from "@observertc/client-monitor-js";

class CustomDetector implements Detector {
    public readonly name = 'custom-detector';
    /** Optional kill-switch honored by both `Detectors.update()` and this method. */
    public disabled = false;

constructor(private monitor: ClientMonitor) {}

public update() {
        if (this.disabled) return;
        if (this.detectCustomCondition()) {
            this.monitor.raiseIssue('custom-detector-singleton', {
                type: 'custom-issue',
                payload: { reason: 'Custom condition detected' },
            });
        }
    }

private detectCustomCondition(): boolean {
        // Your detection logic here
        return false;
    }
}

// Attach
const detector = new CustomDetector(monitor);
monitor.detectors.add(detector);

// Inspect
monitor.detectors.has('custom-detector');                 // true
monitor.detectors.getByName('custom-detector');           // the instance
monitor.detectors.listOfNames;                            // ['cpu-performance-detector', 'custom-detector', ...]

// Runtime toggle
monitor.detectors.disable('custom-detector');             // detector stays attached but its update() is skipped
monitor.detectors.enable('custom-detector');

// Detach
monitor.detectors.remove(detector);
```

See [Controlling which detectors run](#controlling-which-detectors-run) for the full set of registry helpers.

## Score Calculation

The scoring system provides quantitative quality assessment ranging from 0.0 (worst) to 5.0 (best). The library includes a `DefaultScoreCalculator` implementation and allows custom score calculators via the `ScoreCalculator` interface.

### ScoreCalculator Interface

```typescript
interface ScoreCalculator {
    update(): void;
    encodeClientScoreReasons?<T extends Record<string, number>>(reasons?: T): string;
    encodePeerConnectionScoreReasons?<T extends Record<string, number>>(reasons?: T): string;
    encodeInboundAudioScoreReasons?<T extends Record<string, number>>(reasons?: T): string;
    encodeInboundVideoScoreReasons?<T extends Record<string, number>>(reasons?: T): string;
    encodeOutboundAudioScoreReasons?<T extends Record<string, number>>(reasons?: T): string;
    encodeOutboundVideoScoreReasons?<T extends Record<string, number>>(reasons?: T): string;
}
```

### DefaultScoreCalculator Implementation

The default implementation calculates scores using a hierarchical weighted average approach:

#### Score Hierarchy

The client score is calculated as a weighted average of:

1. **Peer Connection Stability Scores** (based on RTT and packet loss)
2. **Track Quality Scores** (inbound/outbound audio/video tracks)

#### Client Score Calculation

```
Client Score = Σ(PC_Score × PC_Weight) / Σ(PC_Weight)

Where PC_Score = Track_Score_Avg × PC_Stability_Score
```

#### Peer Connection Stability Score

Based on Round Trip Time (RTT) and packet loss:

**RTT Penalties:**

-   High RTT (150-300ms): -1.0 point
-   Very High RTT (>300ms): -2.0 points

**Packet Loss Penalties:**

-   1-5% loss: -1.0 point
-   5-20% loss: -2.0 points
-   > 20% loss: -5.0 points

#### Track Score Calculations

**Inbound Audio Track Score:**

-   Based on normalized bitrate and packet loss
-   Uses logarithmic bitrate normalization
-   Exponential decay for packet loss impact

```javascript
normalizedBitrate = log10(max(bitrate, MIN_AUDIO_BITRATE) / MIN_AUDIO_BITRATE) / NORMALIZATION_FACTOR;
lossPenalty = exp(-packetLoss / 2);
score = min(MAX_SCORE, 5 * normalizedBitrate * lossPenalty);
```

**Inbound Video Track Score:**

-   FPS volatility penalties
-   Dropped frames penalties
-   Frame corruption penalties

**Outbound Audio Track Score:**

-   Similar to inbound, using sending bitrate
-   Remote packet loss consideration

**Outbound Video Track Score:**

-   Bitrate deviation from target penalties
-   CPU limitation penalties
-   Bitrate volatility penalties
-   If `track.contentHint === 'screen'`, bitrate deviation and volatility penalties are skipped to better fit screen-share traffic patterns

### Score Reasons

Each score calculation includes detailed reasons for penalties:

```javascript
monitor.on("score", (event) => {
    console.log("Client Score:", event.clientScore);
    console.log("Score Reasons:", event.scoreReasons);
    // Example reasons:
    // {
    //   "high-rtt": 1.0,
    //   "high-packetloss": 2.0,
    //   "cpu-limitation": 2.0,
    //   "dropped-video-frames": 1.0
    // }
});
```

### Custom Score Calculator

Implement your own scoring logic by implementing the `ScoreCalculator` interface:

```javascript
import { ScoreCalculator } from "@observertc/client-monitor-js";

class CustomScoreCalculator {
    constructor(clientMonitor) {
        this.clientMonitor = clientMonitor;
    }

update() {
        // Calculate peer connection scores
        for (const pcMonitor of this.clientMonitor.peerConnections) {
            this.calculatePeerConnectionScore(pcMonitor);
        }

// Calculate track scores
        for (const track of this.clientMonitor.tracks) {
            this.calculateTrackScore(track);
        }

// Calculate final client score
        this.calculateClientScore();
    }

calculatePeerConnectionScore(pcMonitor) {
        const rttMs = (pcMonitor.avgRttInSec ?? 0) * 1000;
        const fractionLost = pcMonitor.inboundRtps.reduce((acc, rtp) => acc + (rtp.fractionLost ?? 0), 0);

let score = 5.0;
        const reasons = {};

// Custom RTT penalties
        if (rttMs > 200) {
            score -= 1.5;
            reasons["custom-high-rtt"] = 1.5;
        }

// Custom packet loss penalties
        if (fractionLost > 0.02) {
            score -= 2.0;
            reasons["custom-packet-loss"] = 2.0;
        }

pcMonitor.calculatedStabilityScore.value = Math.max(0, score);
        pcMonitor.calculatedStabilityScore.reasons = reasons;
    }

calculateTrackScore(trackMonitor) {
        let score = 5.0;
        const reasons = {};

if (trackMonitor.direction === "inbound" && trackMonitor.kind === "video") {
            // Custom video quality scoring
            const fps = trackMonitor.ewmaFps ?? 0;
            if (fps < 15) {
                score -= 2.0;
                reasons["low-fps"] = 2.0;
            }
        }

trackMonitor.calculatedScore.value = Math.max(0, score);
        trackMonitor.calculatedScore.reasons = reasons;
    }

calculateClientScore() {
        let totalScore = 0;
        let totalWeight = 0;
        const combinedReasons = {};

for (const pcMonitor of this.clientMonitor.peerConnections) {
            if (pcMonitor.calculatedStabilityScore.value !== undefined) {
                totalScore += pcMonitor.calculatedStabilityScore.value;
                totalWeight += 1;

// Combine reasons
                Object.assign(combinedReasons, pcMonitor.calculatedStabilityScore.reasons || {});
            }
        }

const clientScore = totalWeight > 0 ? totalScore / totalWeight : 5.0;
        this.clientMonitor.setScore(clientScore, combinedReasons);
    }

// Optional: Custom encoding for reasons
    encodeClientScoreReasons(reasons) {
        return JSON.stringify(reasons || {});
    }
}

// Apply custom calculator
const monitor = new ClientMonitor();
monitor.scoreCalculator = new CustomScoreCalculator(monitor);
```

## Collecting and Adapting Stats

The monitor collects WebRTC statistics periodically and adapts them for consistent processing across different browsers and integrations.

### Stats Collection Process

1. **Collection Trigger**: Timer-based collection every `collectingPeriodInMs`
2. **Raw Stats Retrieval**: Calls `getStats()` on peer connections
3. **Stats Adaptation**: Applies browser-specific adaptations
4. **Monitor Updates**: Updates all relevant monitor objects
5. **Detector Updates**: Runs all attached detectors
6. **Score Calculation**: Updates performance scores

### Stats Adapters

Stats adapters handle browser-specific differences and integration requirements:

#### Browser Adaptations

-   **Firefox**: Handles track identifier format differences
-   **Chrome/Safari**: Handles various stats format variations
-   **Mediasoup**: Filters probator tracks and adapts mediasoup-specific stats

#### Custom Stats Adapters

Add custom adaptation logic:

```javascript
monitor.statsAdapters.add((stats) => {
    // Custom adaptation logic
    return stats.map((stat) => {
        if (stat.type === "inbound-rtp" && stat.trackIdentifier) {
            // Custom track identifier handling
            stat.trackIdentifier = stat.trackIdentifier.replace(/[{}]/g, "");
        }
        return stat;
    });
});
```

### Extension Stats Providers

Extension stats providers allow you to inject custom application-specific statistics into the monitoring pipeline. These providers are called during each stats collection cycle and can return either synchronous or asynchronous results.

**What are Extension Stats?**

Extension stats are custom key-value pairs that you define to track application-specific metrics alongside WebRTC statistics. They are included in every sample created by the monitor and allow you to correlate WebRTC quality metrics with your own application data.

**Adding Extension Stats Providers:**

```javascript
// Synchronous provider
monitor.extensionStatsProviders.add(() => ({
    type: "my-custom-metric",
    payload: {
        fps: currentFps,
        bandwidth: availableBandwidth,
        userEngagement: engagementScore,
    },
}));

// Asynchronous provider
monitor.extensionStatsProviders.add(async () => {
    const cpuUsage = await getCpuUsageMetrics();
    return {
        type: "system-metrics",
        payload: {
            cpu: cpuUsage,
            memory: performance.memory?.usedJSHeapSize || 0,
        },
    };
});
```

**Provider Characteristics:**

-   **Type**: Each provider must return an object with a `type` field (string identifier)
-   **Payload**: Optional custom data object containing your metrics
-   **Timing**: Providers are called during every stats collection cycle
-   **Async Support**: Providers can be async and return promises
-   **Error Handling**: Errors in providers are logged but don't stop the monitoring process

**Sample Integration:**

Extension stats are automatically included in every created sample:

```javascript
monitor.on("sample-created", (sample) => {
    // sample.extensionStats contains all extension stats
    // Example output:
    // [
    //   { type: "my-custom-metric", payload: { fps: 30, bandwidth: 5000, ... } },
    //   { type: "system-metrics", payload: { cpu: 45, memory: 52428800 } }
    // ]
    console.log("Extension stats:", sample.extensionStats);
});
```

### Available WebRTC Stats

The monitor collects and processes all standard WebRTC statistics:

#### RTP Statistics

-   **Inbound RTP**: Receiving stream statistics
-   **Outbound RTP**: Sending stream statistics
-   **Remote Inbound RTP**: Remote peer's receiving statistics
-   **Remote Outbound RTP**: Remote peer's sending statistics

#### Connection Statistics

-   **ICE Candidate**: ICE candidate information
-   **ICE Candidate Pair**: ICE candidate pair statistics
-   **ICE Transport**: ICE transport layer statistics
-   **Certificate**: Security certificate information

#### Media Statistics

-   **Codec**: Codec configuration and usage
-   **Media Source**: Local media source statistics
-   **Media Playout**: Audio playout statistics
-   **Data Channel**: Data channel statistics

## Sampling

Sampling creates periodic snapshots (`ClientSample`) containing the complete state of the monitored client.

### Sample Structure

A `ClientSample` includes:

-   **Client metadata**: clientId, callId, timestamp, score
-   **Peer connection samples**: All monitored peer connections
-   **Events**: Client events since last sample
-   **Issues**: Detected issues since last sample
-   **Extension stats**: Custom application statistics

### Automatic Sampling

Enable automatic sampling by setting `samplingPeriodInMs`:

```javascript
const monitor = new ClientMonitor({
    collectingPeriodInMs: 2000,
    samplingPeriodInMs: 4000, // Create sample every 4 seconds
});

monitor.on("sample-created", (sample) => {
    console.log("Sample created:", sample);
    // Send to analytics backend
    sendToAnalytics(sample);
});
```

### Manual Sampling

Create samples on demand:

```javascript
const monitor = new ClientMonitor({
    collectingPeriodInMs: 2000,
    bufferingEventsForSamples: true, // Required for manual sampling
});

// Create sample manually
const sample = monitor.createSample();
if (sample) {
    console.log("Manual sample:", sample);
}
```

### Sample Compression

For efficient data transmission and storage, ObserveRTC provides dedicated compression packages for `ClientSample` objects:

**@observertc/samples-encoder** - Compresses ClientSample objects for transmission:

```javascript
import { SamplesEncoder } from "@observertc/samples-encoder";

const encoder = new SamplesEncoder();
const sample = monitor.createSample();

// Encode the sample for efficient transmission
const encodedSample = encoder.encode(sample);

// Send compressed data over the network
fetch("/api/samples", {
    method: "POST",
    headers: {
        "Content-Type": "application/octet-stream",
    },
    body: encodedSample,
});
```

**@observertc/samples-decoder** - Decompresses received ClientSample objects:

```javascript
import { SamplesDecoder } from "@observertc/samples-decoder";

const decoder = new SamplesDecoder();

// Receive compressed sample data
const compressedData = await response.arrayBuffer();

// Decode back to ClientSample object
const decodedSample = decoder.decode(compressedData);

// Process the restored sample
console.log("Decoded sample:", decodedSample);
```

**Benefits of Using Compression:**

-   **Reduced Bandwidth**: Compressed samples require significantly less network bandwidth
-   **Faster Transmission**: Smaller payloads improve upload/download times
-   **Storage Efficiency**: Compressed samples consume less storage space
-   **Schema Consistency**: Ensures proper serialization/deserialization of all ClientSample fields

**Installation:**

```bash
# For encoding (client-side)
npm install @observertc/samples-encoder

# For decoding (server-side)
npm install @observertc/samples-decoder

# Both packages (if needed)
npm install @observertc/samples-encoder @observertc/samples-decoder
```

**Integration with ObserveRTC Stack:**
These compression packages are part of the broader ObserveRTC ecosystem and are designed to work seamlessly with:

-   Client Monitor (sample generation)
-   Observer Service (sample processing)
-   Schema definitions (data consistency)

The compression format maintains full compatibility with the ObserveRTC schema definitions and can be used with any transport mechanism (WebSocket, HTTP REST, etc.).

## Events and Issues

`ClientMonitor` emits two different categories of notification: **issues**, which describe a problem state, and **events**, which describe a thing that happened. The two have different lifecycles and different APIs — picking the right one for your use case is the key to keeping your alerting code sane.

### Issues vs Events at a glance

|  | Issue | Event |
|---|---|---|
| Represents | An ongoing or one-shot condition (network congestion, dry track, …) | A discrete thing that happened (peer joined, ICE candidate found, …) |
| Lifecycle | Can be **raised**, **updated**, **resolved** | Immutable record |
| Resolution | Yes (for the stateful flavor) | No |
| API | `addIssue` / `raiseIssue` / `resolveIssue` | `addEvent` |
| Sample buffer | `sample.clientIssues[]` | `sample.clientEvents[]` |
| Emitted events on `monitor.on(...)` | `'issue'`, `'issue-updated'`, `'issue-resolved'` | `'client-event'` |

The rest of this section drills into the issue lifecycle; events are a thin wrapper around `addEvent` and need no further explanation.

### Two flavors of issue

`ClientMonitor` distinguishes a **one-shot issue** (fire-and-forget) from a **raised issue** (stateful, resolvable). Pick the flavor that matches your situation:

| Flavor | Method | Has `key` | Enters `activeIssues` | Can be resolved | Typical use |
|---|---|---|---|---|---|
| One-shot | `addIssue({ type, payload?, timestamp? })` | no | no | no | A logged event-like incident with no "ended" condition — `USER_MEDIA_ERROR`, a one-off SDK warning, a one-time alert you want included in the next sample. |
| Stateful | `raiseIssue(key, { type, payload?, timestamp? })` | **yes (required)** | yes | yes (`resolveIssue(key, …)`) | Anything with a start and an end: congestion, CPU pressure, audio desync, video freeze, dry track. The detectors that ship with the library all use this flavor. |

You're always free to choose either. The library only insists that *if* you want to resolve later, you must have raised with a `key`.

### In-memory types

Both flavors share `type` and `payload`. The stateful flavor adds the identity (`key`) and timestamps:

```ts
type ClientIssuePayload = Record<string, unknown> | boolean | string | number;

// What addIssue produces.
type AddedClientIssue<T = ClientIssuePayload> = {
    type: string;
    payload?: T;
    timestamp: number;
};

// What raiseIssue produces.
type RaisedClientIssue<T = ClientIssuePayload> = {
    type: string;
    key: string;           // globally unique handle within this monitor
    payload?: T;
    raisedAt: number;
    updatedAt: number;     // bumped on every re-raise of the same key
};

// Discriminated union over the two flavors.
type ClientIssue<T = ClientIssuePayload> = AddedClientIssue<T> | RaisedClientIssue<T>;

// What 'issue-resolved' delivers.
type ResolvedClientIssue<T = ClientIssuePayload> = RaisedClientIssue<T> & {
    resolvedAt: number;
    comment?: string;
};
```

Narrow between the two by checking for `'key' in issue` — that's the discriminant.

> **Wire format**: `ClientSample.clientIssues[]` ships a stripped shape: `{ type, payload?: string (JSON-stringified), timestamp }`. The richer in-memory `id`-less, key-bearing object is a runtime concern; the server schema is unchanged.

### Lifecycle: the events you can listen to

```ts
monitor.on('issue',          (issue: ClientIssue)         => /* … */);  // raised or added
monitor.on('issue-updated',  (issue: RaisedClientIssue)   => /* … */);  // re-raise of an active key
monitor.on('issue-resolved', (issue: ResolvedClientIssue) => /* … */);
```

| Step | When it fires | What's delivered |
|---|---|---|
| `raiseIssue('x', { type: 't', payload: … })` for an **unknown** `x` | New stateful issue created and stored in `activeIssues` | `'issue'` event with the new `RaisedClientIssue` |
| `raiseIssue('x', …)` for an **already-active** `x` | Existing entry's payload + `updatedAt` are refreshed in place; no duplicate | `'issue-updated'` event |
| `addIssue({ type, payload })` | New one-shot issue created; **not** added to `activeIssues` | `'issue'` event |
| `resolveIssue('x', { comment?, payload?, resolvedAt? })` | Active entry removed from `activeIssues`; optional `payload` overwrites the stored one (used by detectors to add `durationInMs`) | `'issue-resolved'` event |
| `monitor.close()` | All still-active issues auto-resolve | `'issue-resolved'` for each, with `comment: 'monitor closed before issue could be resolved'` |

### Public API on `ClientMonitor`

```ts
// One-shot, never enters activeIssues, cannot be resolved.
addIssue<T>(input: { type: string; payload?: T; timestamp?: number }): AddedClientIssue<T> | undefined;

// Stateful: enters activeIssues under `key`. Re-raising with the same key updates in place.
raiseIssue<T>(key: string, input: { type: string; payload?: T; timestamp?: number }): RaisedClientIssue<T> | undefined;

// Resolves a stateful issue by key. `input.payload`, when provided, overwrites the stored payload
// — that's how built-in detectors enrich the resolved record with `durationInMs`.
resolveIssue<T>(key: string, input: { comment?: string; payload?: T; resolvedAt?: number }): ResolvedClientIssue | undefined;

// Snapshot helpers.
getActiveIssuesByType(type?: string): RaisedClientIssue[];
isIssueActive(key: string): boolean;

// Public Map<key, RaisedClientIssue> — readable, mutable but should not be touched directly.
readonly activeIssues: Map<string, RaisedClientIssue>;
```

### The built-in detector issues

Most built-in detectors raise their own stateful issue with a typed payload, emit a detector-specific named event on entry, and resolve the issue when the condition clears — enriching the resolved payload with `durationInMs`. The four *observation* detectors (`CodecChangeDetector`, `VideoResolutionChangeDetector`, `SimulcastLayerDetector`, `StatsGapDetector`) are the exception: they emit events only, because what they report is not a fault.

| `type` | Raised when | Resolved when | Detector-specific event | Payload shape |
|---|---|---|---|---|
| `audio-desync` | Audio sample-correction fraction crosses the on-threshold | Correction fraction falls below the off-threshold | `'audio-desync-track'` | `AudioDesyncIssuePayload` |
| `congestion` | Per-PC bandwidth limitation + sensitivity-specific corroborator | Bandwidth limitation clears | `'congestion'` | `CongestionIssuePayload` |
| `cpulimitation` | CPU-tagged outbound RTP / stats-collection slowness / low inbound decoded-to-received frames ratio | Indicators normalize | `'cpulimitation'` | `CpuPerformanceIssuePayload` |
| `dry-inbound-track` | Inbound bytes stay flat for `thresholdInMs` | Bytes start flowing again | `'dry-inbound-track'` | `DryInboundTrackIssuePayload` |
| `dry-outbound-track` | Outbound bytes stay flat for `thresholdInMs` | Bytes start flowing again | `'dry-outbound-track'` | `DryOutboundTrackIssuePayload` |
| `freezed-video-track` | `freezeCount` increases | No new freezes for one tick | `'freezed-video-track'` | `FreezedVideoTrackIssuePayload` |
| `inbound-video-playout-discrepancy` | `framesReceived - framesRendered > highSkewThreshold` | Skew drops below `lowSkewThreshold` | `'inbound-video-playout-discrepancy'` | `PlayoutDiscrepancyIssuePayload` |
| `ice-disconnected` | An ICE transport stayed `disconnected` past `disconnectedThresholdInMs` | ICE reconnects, or the transport goes away | — | `IceDisconnectedIssuePayload` |
| `ice-connection-failed` | An ICE transport reached `failed` | ICE reconnects (typically after a restart) | — | `IceConnectionFailedIssuePayload` |
| `ice-transport-stalled` | Still sending on a succeeded pair of a connected transport, but receiving nothing for `transportStallThresholdInMs` | Inbound traffic resumes | — | `IceTransportStalledIssuePayload` |
| `unstable-ice-path` | `pathSwitchThreshold` selected-path switches within `pathSwitchWindowInMs` | The window drains | — | `UnstableIcePathIssuePayload` |
| `audio-concealment` | Audible concealment share (silence excluded) crosses `onThreshold` over the window | Share falls below `offThreshold` | `'audio-concealment'` | `AudioConcealmentIssuePayload` |
| `audio-jitter-buffer-stress` | Target delay grown **and** NetEQ time-stretching, for `minConsecutiveTicks` | Either condition clears | `'audio-jitter-buffer-stress'` | `JitterBufferStressIssuePayload` |
| `video-decoder-overloaded` | Frames arrived and loss was quiet, but decode time overran the frame budget or frames were dropped after arrival | The decoder keeps up again | `'video-decoder-overloaded'` | `DecoderPerformanceIssuePayload` |
| `keyframe-storm` | Sustained PLI rate above `pliRateAlertOn` | Rate falls below `pliRateAlertOff` | `'keyframe-storm'` | `KeyframeStormIssuePayload` |
| `video-recovery-failed` | PLIs sent, picture frozen, `keyFramesDecoded` not advancing for `recoveryFailedThresholdInMs` | A keyframe arrives or the freeze ends | `'video-recovery-failed'` | `VideoRecoveryFailedIssuePayload` |
| `capture-bottleneck` | The capture source produced far fewer frames than configured | The source recovers | `'capture-bottleneck'` | `CaptureBottleneckIssuePayload` |
| `encoder-bottleneck` | A healthy source outran the encoder, or the encoder was CPU-limited | The encoder keeps up again | `'encoder-bottleneck'` | `EncoderBottleneckIssuePayload` |
| `capture-track-ended` | The outbound track's device reached `ended` | — (terminal) | `'capture-track-ended'` | `CaptureTrackEndedIssuePayload` |
| `silent-audio-source` | A live, enabled, unmuted microphone produced silence for `silenceThresholdInMs` | Audio appears, or the track stops capturing | `'silent-audio-source'` | `SilentAudioSourceIssuePayload` |
| `stuck-decoder` | RTP bytes flowing, nothing decoding, PLIs firing, for `thresholdInMs` | Frames decode again | `'stuck-decoder'` | `StuckDecoderIssuePayload` |

The per-detector payload types are exported from the package root. The resolved-side payload is always the raise-time payload plus `durationInMs` (and, for some, refreshed metrics).

### Type-safe handling: the `ClientMonitorIssue` discriminated union

Listeners on `'issue'` / `'issue-updated'` / `'issue-resolved'` receive the generic `ClientIssue` / `RaisedClientIssue` / `ResolvedClientIssue`. To get full payload typing for the built-in detector issues, cast to the discriminated unions exported from the package:

```ts
import {
    ClientMonitor,
    ClientMonitorIssue,
    ClientMonitorResolvedIssue,
    isClientMonitorIssue,
} from '@observertc/client-monitor-js';

const monitor = new ClientMonitor({ /* … */ });

monitor.on('issue', (issue) => {
    if (!isClientMonitorIssue(issue)) {
        // Custom / app-raised issue → handle as RaisedClientIssue<unknown>
        return;
    }

switch (issue.type) {
        case 'congestion':
            // issue.payload is CongestionIssuePayload
            console.log('congestion on PC', issue.payload.peerConnectionId,
                'avail in', issue.payload.availableIncomingBitrate);
            break;

case 'cpulimitation':
            // issue.payload is CpuPerformanceIssuePayload
            console.warn('cpu pressure');
            break;

case 'audio-desync':
            // issue.payload is AudioDesyncIssuePayload
            console.log('audio desync on track', issue.payload.trackId);
            break;

case 'freezed-video-track':
            console.log('freeze on track', issue.payload.trackId);
            break;

case 'dry-inbound-track':
        case 'dry-outbound-track':
            console.log('dry track', issue.payload.trackId,
                'duration', issue.payload.duration);
            break;

case 'inbound-video-playout-discrepancy':
            console.log('playout discrepancy on track', issue.payload.trackId,
                'skew', issue.payload.frameSkew);
            break;
    }
});

monitor.on('issue-resolved', (resolved) => {
    const own = resolved as ClientMonitorResolvedIssue;
    switch (own.type) {
        case 'audio-desync':
            console.log(`Audio desync on ${own.payload.trackId} lasted ${own.payload.durationInMs}ms`);
            break;
        case 'congestion':
            console.log(`Congestion on ${own.payload.peerConnectionId} lasted ${own.payload.durationInMs}ms`);
            break;
        // …
    }
});
```

Three helpers are available:

-   `ClientMonitorIssue` — discriminated union of every raised issue produced by the bundled detectors.
-   `ClientMonitorResolvedIssue` — same, for `'issue-resolved'`.
-   `isClientMonitorIssue(issue)` / `isClientMonitorResolvedIssue(issue)` — type guards that return `true` only for the seven built-in `type` values.

### Managing active stateful issues

```ts
// All active issues across all detectors:
const all = monitor.getActiveIssuesByType();

// Active issues of one type:
const congestionIssues = monitor.getActiveIssuesByType('congestion');
for (const issue of congestionIssues) {
    if (issue.payload?.availableIncomingBitrate < 200_000) {
        ui.showLowBandwidthWarning(issue.key);
    }
}

// Is a specific issue active?
if (monitor.isIssueActive('congestion-pc-pc-123')) { /* … */ }

// Iterate the raw map (advanced — prefer the helpers):
for (const [key, issue] of monitor.activeIssues) {
    console.log(key, issue.type, issue.payload);
}
```

### Raising your own custom issues

You can raise issues from app code or your own custom detector. Pick a `key` that's unique per logical incident — the detector convention is `${type}-${scope}` (e.g. `congestion-pc-${peerConnectionId}`, `audio-desync-track-${trackId}`).

```ts
// Start: a meeting-quality watchdog notices a participant's input mic is muted unexpectedly
monitor.raiseIssue(`unexpected-mute-${participantId}`, {
    type: 'unexpected-mute',
    payload: {
        participantId,
        sinceUtc: new Date().toISOString(),
    },
});

// Refresh while still ongoing (e.g. with updated metadata):
monitor.raiseIssue(`unexpected-mute-${participantId}`, {
    type: 'unexpected-mute',
    payload: {
        participantId,
        sinceUtc: knownStart,
        framesSpoken: 0,
    },
});
// → emits 'issue-updated', not 'issue'

// End: the participant unmuted, attach how long it lasted
monitor.resolveIssue(`unexpected-mute-${participantId}`, {
    comment: 'participant unmuted',
    payload: {
        participantId,
        sinceUtc: knownStart,
        durationInMs: Date.now() - mutedAtMs,
    },
    resolvedAt: Date.now(),
});
```

For a one-shot incident with no "ended" condition (a `getUserMedia` failure, a click-to-call timeout, …), use `addIssue`:

```ts
monitor.addIssue({
    type: 'USER_MEDIA_ERROR',
    payload: { error: `${err}` },
});
// Never enters activeIssues, can't be resolved, but is emitted as 'issue'
// and buffered into the next ClientSample.
```

### Custom detector example

A custom detector follows the same pattern the built-ins use: own a `key`, expose a `public disabled` flag, raise on entry, resolve on exit, enrich the resolved payload with duration.

```ts
import {
    Detector,
    ClientMonitor,
    InboundTrackMonitor,
} from '@observertc/client-monitor-js';

interface MicMutedIssuePayload {
    participantId: string;
    expected: boolean;
    durationInMs?: number;
}

class UnexpectedMicMuteDetector implements Detector {
    public readonly name = 'unexpected-mic-mute-detector';
    public disabled = false;

private readonly issueKey: string;
    private _startedAt?: number;

constructor(
        private readonly track: InboundTrackMonitor,
        private readonly participantId: string,
        private readonly clientMonitor: ClientMonitor,
    ) {
        this.issueKey = `unexpected-mic-mute-track-${track.track.id}`;
    }

update() {
        if (this.disabled) return;

const wantsAudio = !this.track.track.muted;
        const isReceivingAudio = (this.track.getInboundRtp()?.deltaBytesReceived ?? 0) > 0;
        const isMisbehaving = wantsAudio && !isReceivingAudio;

if (isMisbehaving && !this.clientMonitor.isIssueActive(this.issueKey)) {
            this._startedAt = Date.now();
            this.clientMonitor.raiseIssue<MicMutedIssuePayload>(this.issueKey, {
                type: 'unexpected-mic-mute',
                payload: { participantId: this.participantId, expected: false },
            });
        } else if (!isMisbehaving && this.clientMonitor.isIssueActive(this.issueKey)) {
            const active = this.clientMonitor.activeIssues.get(this.issueKey);
            this.clientMonitor.resolveIssue<MicMutedIssuePayload>(this.issueKey, {
                comment: 'mic unmuted',
                payload: {
                    ...(active?.payload as MicMutedIssuePayload),
                    durationInMs: this._startedAt ? Date.now() - this._startedAt : undefined,
                },
            });
            this._startedAt = undefined;
        }
    }
}
```

Three things to notice:

1. `disabled` is a public field — applications flip it at runtime to silence the detector.
2. `Detectors.update()` skips detectors with `disabled === true`, and the in-method `if (this.disabled) return;` makes direct invocations behave the same.
3. The detector is the source of truth for `_startedAt`; the resolved payload carries the duration so consumers don't have to track it themselves.

### Controlling which detectors run

Each detector entry in `ClientMonitorConfig` is now `Type | null`:

```ts
new ClientMonitor({
    // null → don't even construct this detector. No memory, no update() ticks.
    congestionDetector: null,

// undefined / omitted → use defaults (this is the existing behavior).

// Object → enable with overrides.
    audioDesyncDetector: {
        fractionalCorrectionAlertOnThreshold: 0.2,
        fractionalCorrectionAlertOffThreshold: 0.1,
    },
});
```

Already running and want to flip a detector on/off without restarting the monitor? Every built-in detector exposes a `public disabled = false` field, and every layer's `detectors` registry exposes ergonomic helpers for finding and toggling them.

`Detectors` (the registry attached as `monitor.detectors`, `peerConnectionMonitor.detectors`, `inboundTrackMonitor.detectors`, `outboundTrackMonitor.detectors`, `mediaPlayoutMonitor.detectors`) offers:

```ts
// Inspection
detectors.size;                         // number of attached detectors
detectors.listOfNames;                  // string[] of every detector.name
detectors.has(name);                    // is a detector with that name attached?
detectors.getByName(name);              // Detector | undefined
detectors.getByName<CpuPerformanceDetector>('cpu-performance-detector');
detectors.find(pred);                   // first match
detectors.filter(pred);                 // all matches
for (const d of detectors) { /* … */ }  // iterate

// Mutation
detectors.add(detector);                // append a custom detector
detectors.remove(detector);             // detach an instance
detectors.clear();                      // detach all

// Runtime toggle
detectors.disable(name);                // sets detector.disabled = true (returns true if found)
detectors.enable(name);                 // sets detector.disabled = false
detectors.isEnabled(name);              // attached AND not disabled
detectors.disableAll();                 // silence every attached detector
detectors.enableAll();                  // re-enable every attached detector
```

Common patterns:

```ts
// Kill one specific detector instance-wide.
monitor.detectors.disable('cpu-performance-detector');

// Silence congestion alerts across every existing PeerConnection.
for (const pc of monitor.mappedPeerConnections.values()) {
    pc.detectors.disable('congestion-detector');
}

// Toggle a track-level detector based on something the app knows.
inboundTrackMonitor.detectors.disable('freezed-video-track-detector');

// Suspend everything during a known-noisy state, then re-enable.
monitor.detectors.disableAll();
// …later
monitor.detectors.enableAll();

// Tweak the live config of a detector at runtime via getByName.
const cpu = monitor.detectors.getByName('cpu-performance-detector');
if (cpu) cpu.disabled = true;
```

If you want a detector outright gone (not just silenced), call `detectors.remove(instance)` — or skip its construction entirely at monitor creation time by passing `null` for its config field.

### Sample-channel behavior

Every `addIssue` and every `raiseIssue` adds an entry to the next `ClientSample.clientIssues[]`. **Re-raises do not add a new entry** — they emit `'issue-updated'` to live listeners but the sample buffer is unchanged. Resolutions are not currently included in the sample buffer (only in the realtime `'issue-resolved'` event). If you reconstruct state server-side from samples only, treat each `clientIssues` entry as "the issue started here" and apply your own correlation logic.

### Event listeners cheat-sheet

```ts
// Sample produced.
monitor.on('sample-created', ({ sample }) => { /* … */ });

// Issue lifecycle.
monitor.on('issue',          (issue)    => { /* new addIssue or new raiseIssue */ });
monitor.on('issue-updated',  (issue)    => { /* re-raise of an existing key */ });
monitor.on('issue-resolved', (resolved) => { /* resolveIssue or close() auto-resolve */ });

// Detector-specific events (these fire alongside 'issue', once per episode).
monitor.on('congestion',                          (e) => { /* … */ });
monitor.on('cpulimitation',                       (e) => { /* … */ });
monitor.on('audio-desync-track',                  (e) => { /* … */ });
monitor.on('freezed-video-track',                 (e) => { /* … */ });
monitor.on('dry-inbound-track',                   (e) => { /* … */ });
monitor.on('dry-outbound-track',                  (e) => { /* … */ });
monitor.on('inbound-video-playout-discrepancy',   (e) => { /* … */ });
monitor.on('audio-concealment',                   (e) => { /* audible concealment, not raw loss */ });
monitor.on('audio-jitter-buffer-stress',          (e) => { /* buffer grown AND stretching */ });
monitor.on('video-decoder-overloaded',            (e) => { /* frames arrived, client could not decode */ });
monitor.on('keyframe-storm',                      (e) => { /* PLIs feeding the congestion that caused them */ });
monitor.on('video-recovery-failed',               (e) => { /* we asked for a keyframe; nothing came back */ });
monitor.on('stuck-decoder',                       (e) => { /* RTP flowing, nothing decodes — recreate the consumer */ });
monitor.on('capture-bottleneck',                  (e) => { /* the camera never produced the frames */ });
monitor.on('encoder-bottleneck',                  (e) => { /* the source did; the encoder could not keep up */ });
monitor.on('capture-track-ended',                 (e) => { /* the device is gone */ });
monitor.on('capture-track-muted',                 (e) => { /* the OS or another app took it */ });
monitor.on('silent-audio-source',                 (e) => { /* live mic producing digital silence */ });

// Observations — these never raise an issue.
monitor.on('codec-changed',            (e) => { /* mime type or profile switched */ });
monitor.on('video-resolution-changed', (e) => { /* the adaptation ladder moved */ });
monitor.on('simulcast-layer-changed',  (e) => { /* which layers are actually being sent */ });
monitor.on('stats-collection-gap',     (e) => { /* backgrounded tab: discount this interval */ });

// ICE connectivity.
monitor.on('ice-path-changed',      (e) => { /* selected path changed: direct <-> TURN, protocol, server */ });
monitor.on('ice-restart',           (e) => { /* a new ICE generation was inferred */ });
monitor.on('ice-restart-recommended', (e) => { /* YOUR app decides whether to restartIce() */ });
monitor.on('ice-tuple-changed',     (e) => { /* low-level: the selected tuple set changed */ });
monitor.on('new-selected-ice-path', (e) => { /* an ICE transport selected its first path */ });

// Score & stats lifecycle.
monitor.on('score',          ({ clientScore, currentReasons }) => { /* … */ });
monitor.on('stats-collected', ({ durationOfCollectingStatsInMs, collectedStats }) => { /* … */ });
```

## WebRTC Stats Monitors

The monitor creates specialized monitor objects for each WebRTC statistics type, providing navigation, derived fields, and lifecycle management.

### Monitor Hierarchy

```
ClientMonitor
├── PeerConnectionMonitor[]
│   ├── InboundRtpMonitor[]
│   ├── OutboundRtpMonitor[]
│   ├── RemoteInboundRtpMonitor[]
│   ├── RemoteOutboundRtpMonitor[]
│   ├── MediaSourceMonitor[]
│   ├── CodecMonitor[]
│   ├── IceTransportMonitor[]
│   ├── IceCandidateMonitor[]
│   ├── IceCandidatePairMonitor[]
│   ├── CertificateMonitor[]
│   ├── DataChannelMonitor[]
│   └── MediaPlayoutMonitor[]
├── InboundTrackMonitor[]
└── OutboundTrackMonitor[]
```

### Track Monitors

#### InboundTrackMonitor

Monitors incoming media tracks with attached detectors:

**Properties:**

-   `score`: Calculated quality score
-   `bitrate`: Receiving bitrate
-   `jitter`: Network jitter
-   `fractionLost`: Packet loss fraction
-   `dtxMode`: Discontinuous transmission mode
-   `detectors`: Attached detectors

**Detectors:**

-   AudioDesyncDetector (for audio tracks)
-   FreezedVideoTrackDetector (for video tracks)
-   DryInboundTrackDetector
-   PlayoutDiscrepancyDetector (for video tracks)

#### OutboundTrackMonitor

Monitors outgoing media tracks:

**Properties:**

-   `score`: Calculated quality score
-   `bitrate`: Aggregate sending bitrate
-   `sendingPacketRate`: Packet sending rate
-   `remoteReceivedPacketRate`: Remote receiving rate
-   `detectors`: Attached detectors

**Methods:**

-   `getHighestLayer()`: Gets highest bitrate layer
-   `getOutboundRtps()`: Gets all outbound RTP monitors

### RTP Monitors

#### InboundRtpMonitor

Extended inbound RTP statistics with derived fields:

**Derived Fields:**

-   `bitrate`: Calculated receiving bitrate
-   `packetRate`: Packet receiving rate
-   `deltaPacketsLost`: Packets lost since last collection
-   `deltaJitterBufferDelay`: Jitter buffer delay change
-   `ewmaFps`: Exponentially weighted moving average FPS

#### OutboundRtpMonitor

Extended outbound RTP statistics:

**Derived Fields:**

-   `bitrate`: Calculated sending bitrate
-   `payloadBitrate`: Payload-only bitrate
-   `packetRate`: Packet sending rate
-   `retransmissionRate`: Retransmission rate

**Navigation:**

-   `getRemoteInboundRtp()`: Navigate to corresponding remote stats
-   `getMediaSource()`: Navigate to media source

### Connection Monitors

#### IceCandidatePairMonitor

ICE candidate pair with derived metrics:

**Derived Fields:**

-   `availableIncomingBitrate`: Calculated available bandwidth
-   `availableOutgoingBitrate`: Calculated available bandwidth

**Path helpers** — every one is read from the pair's **own local candidate**, so a
TURN verdict can never be assembled from signals belonging to two different
candidates:

-   `usingTurn`: the local candidate is a relay candidate. A `turn:` url alone is
    *not* a TURN signal — a srflx candidate discovered through a TURN server's
    STUN function carries one too.
-   `usingTcp`: the local candidate's ICE transport protocol is TCP. Note a relay
    reached over TURN/TCP or TURN/TLS commonly still reports `protocol: 'udp'` —
    read `relayProtocol` for the TURN leg.
-   `relayProtocol`: `'udp'`, `'tcp'` or `'tls'`, when exposed.
-   `pathKind`: `'direct'`, `'turn-udp'`, `'turn-tcp'`, `'turn-tls'`, or
    `'turn-unknown'` (a relay whose `relayProtocol` the browser hides).
-   `turnUrl` / `turnServer`: the ICE server, and its identity without the query
    part so the same server over UDP and TCP resolves to one value.
-   `tuple`: `localAddress:localPort:remoteAddress:remotePort:protocol`.
-   `pathKey`: identity of the path this pair belongs to — the transport id,
    falling back to the local candidate's, then to one constant per peer
    connection. Never the pair id, so a path survives a pair switch.

#### IceCandidateMonitor

Adds `isRelay`, `turnTransport` (normalized `relayProtocol`), `turnServer` and
`addressFamily` (`'ipv4'` / `'ipv6'`, `undefined` behind an mDNS name).

#### IceTransportMonitor

ICE transport layer monitoring:

**Properties:**

-   `selectedCandidatePair`: Currently selected candidate pair
-   All standard ICE transport fields

#### SelectedIcePath

The live selected path of one ICE transport, reachable as
`peerConnectionMonitor.selectedIcePath` (the single path — with BUNDLE
negotiated, which is the normal case and always the case for mediasoup
transports, a peer connection has exactly one) or `selectedIcePaths` (all of
them, for a connection whose m-lines were not bundled and can sit on different
paths).

It holds **no copies** of candidate data: `kind`, `usingTurn`, `relayProtocol`,
`turnServer`, `tuple`, addresses, ports and address families are getters reading
through the linked pair and its candidates, alongside `pair`, `localCandidate`,
`remoteCandidate` and `iceTransport`. It follows the pair it is updated with, so
it can never disagree with the stats.

What it owns is what those monitors cannot express:

-   **Transitions.** It compares the selected pair between ticks and emits
    `'ice-path-changed'` with `transition` of `'initial-selection'`,
    `'direct-to-relay'`, `'relay-to-direct'`, `'relay-protocol-changed'`,
    `'turn-server-changed'` or `'path-changed'`, plus `from` / `to` evidence.
-   **TURN usage facts.** `durations` per path kind, `relayDurationInMs`,
    `timeToFirstRelayInMs`, the switch counters, and relay-vs-total bytes and
    packets with `relayBytesRatio`. These are measurements, not verdicts — the
    client does not judge whether TURN usage was appropriate.

```typescript
monitor.on('ice-path-changed', ({ selectedIcePath, transition, from, to }) => {
    console.log(`${transition}: ${from?.kind ?? 'none'} -> ${to.kind}`);
    console.log('relay share of traffic so far:', selectedIcePath.relayBytesRatio);
});
```

These accumulators are deliberately **not** part of the client sample. The sample
already carries `iceTransports`, `iceCandidatePairs` and `iceCandidates`, so a
server can resolve the selected pair and derive the same facts itself, and the
sub-sample transitions it would otherwise miss arrive as
`PEER_CONNECTION_ICE_PATH_CHANGED` client events.

### appData and attachments

Every monitor supports two types of additional data properties that serve different purposes:

**`attachments`** - Data shipped with ClientSample:

-   Included in the `ClientSample` when `createSample()` is called
-   Sent to your analytics backend/server
-   Used for server-side processing, analysis, and correlation
-   Survives the monitoring lifecycle and becomes part of the permanent sample data

**`appData`** - Application-specific data (not shipped):

-   Never included in `ClientSample` creation
-   Used exclusively for local application logic
-   Temporary data for runtime decisions and local processing
-   Does not consume bandwidth or storage in your analytics pipeline

```javascript
// Set application data (not shipped with samples)
trackMonitor.appData = {
    userId: "user-123",
    internalTrackId: "track-abc",
    localProcessingFlags: { enableProcessing: true },
};

// Set attachments (shipped with samples)
trackMonitor.attachments = {
    roomId: "room-456",
    participantRole: "presenter",
    mediaType: "screen-share",
    customMetrics: { quality: "high" },
};
```

Every monitor in the hierarchy supports both properties:

-   `ClientMonitor.attachments` / `ClientMonitor.appData`
-   `PeerConnectionMonitor.appData` (attachments set via tracks)
-   All track monitors: `InboundTrackMonitor`, `OutboundTrackMonitor`
-   All RTP monitors: `InboundRtpMonitor`, `OutboundRtpMonitor`, etc.
-   All connection monitors: `IceCandidatePairMonitor`, `IceTransportMonitor`, etc.

**Use Cases:**

_attachments_ for:

-   User/session identification for server-side analysis
-   Room/conference context for grouping samples
-   A/B testing flags for performance comparison
-   Custom quality metrics for specialized analysis

_appData_ for:

-   Local UI state management
-   Runtime feature toggles
-   Temporary computation results
-   Internal application routing information

## Stats Adapters

Stats adapters provide a powerful mechanism to customize how WebRTC statistics are processed before being consumed by monitors. They handle browser-specific differences and allow custom preprocessing logic.

### Built-in Adapters

The library includes several built-in adapters that are automatically applied based on browser detection:

#### Firefox Adapters

-   **Firefox94StatsAdapter**: Normalizes `mediaType` to `kind` field for RTP stats
-   **FirefoxTransportStatsAdapter**: Creates transport stats from ICE candidate pairs when native transport stats are missing

#### Browser-Specific Adaptations

Stats adapters are automatically added based on detected browser:

```javascript
// Automatically applied for Firefox
if (browser.name === "firefox") {
    pcMonitor.statsAdapters.add(new Firefox94StatsAdapter());
    pcMonitor.statsAdapters.add(new FirefoxTransportStatsAdapter());
}
```

### Custom Stats Adapters

Create custom adapters by implementing the `StatsAdapter` interface:

```javascript
import { StatsAdapter } from "@observertc/client-monitor-js";

class CustomStatsAdapter {
    name = "custom-stats-adapter";

adapt(stats) {
        // Pre-processing: runs before monitor updates
        return stats.map((stat) => {
            if (stat.type === "inbound-rtp" && stat.trackIdentifier) {
                // Custom track identifier normalization
                stat.trackIdentifier = stat.trackIdentifier.replace(/[{}]/g, "");
            }

if (stat.type === "outbound-rtp" && stat.mediaSourceId) {
                // Add custom metadata
                stat.customQualityFlag = this.calculateQualityFlag(stat);
            }

return stat;
        });
    }

postAdapt(stats) {
        // Post-processing: runs after initial monitor updates
        // Useful for cross-stat calculations
        const inboundStats = stats.filter((s) => s.type === "inbound-rtp");
        const outboundStats = stats.filter((s) => s.type === "outbound-rtp");

// Add custom correlation stats
        if (inboundStats.length > 0 && outboundStats.length > 0) {
            stats.push({
                type: "custom-correlation",
                id: "correlation-metrics",
                timestamp: Date.now(),
                totalStreams: inboundStats.length + outboundStats.length,
                avgBitrate: this.calculateAvgBitrate(inboundStats, outboundStats),
            });
        }

return stats;
    }

calculateQualityFlag(stat) {
        // Custom quality assessment logic
        return stat.bitrate > 1000000 ? "high" : "standard";
    }

calculateAvgBitrate(inbound, outbound) {
        // Custom correlation calculation
        const totalBitrate = [...inbound, ...outbound].reduce((sum, stat) => sum + (stat.bitrate || 0), 0);
        return totalBitrate / (inbound.length + outbound.length);
    }
}

// Add to peer connection monitor
const adapter = new CustomStatsAdapter();
pcMonitor.statsAdapters.add(adapter);

// Remove adapter
pcMonitor.statsAdapters.remove(adapter);
// or by name
pcMonitor.statsAdapters.remove("custom-stats-adapter");
```

### Adapter Processing Flow

Adapters are processed in a specific order during stats collection:

1. **Raw Stats Collection**: `getStats()` called on peer connection
2. **Pre-Adaptation**: `adapt()` method called on all adapters in order
3. **Monitor Updates**: Monitors process adapted stats and update derived fields
4. **Post-Adaptation**: `postAdapt()` method called for advanced cross-stat processing
5. **Final Processing**: Detectors run and scores calculated

### Advanced Adapter Examples

#### Mediasoup Probator Filter

```javascript
class MediasoupProbatorFilter {
    name = "mediasoup-probator-filter";

adapt(stats) {
        // Filter out mediasoup probator tracks
        return stats.filter((stat) => {
            if (stat.type === "inbound-rtp" || stat.type === "outbound-rtp") {
                return stat.trackIdentifier !== "probator";
            }
            return true;
        });
    }
}
```

#### Bandwidth Estimation Adapter

```javascript
class BandwidthEstimationAdapter {
    name = "bandwidth-estimation-adapter";

postAdapt(stats) {
        const candidatePairs = stats.filter((s) => s.type === "candidate-pair");
        const selectedPair = candidatePairs.find((p) => p.state === "succeeded");

if (selectedPair && selectedPair.availableIncomingBitrate) {
            // Add custom bandwidth metrics
            stats.push({
                type: "custom-bandwidth",
                id: "bandwidth-estimation",
                timestamp: Date.now(),
                estimatedBandwidth: selectedPair.availableIncomingBitrate,
                bandwidthUtilization: this.calculateUtilization(stats, selectedPair),
            });
        }

return stats;
    }

calculateUtilization(stats, selectedPair) {
        const totalBitrate = stats
            .filter((s) => s.type === "inbound-rtp")
            .reduce((sum, s) => sum + (s.bitrate || 0), 0);
        return totalBitrate / selectedPair.availableIncomingBitrate;
    }
}
```

## Derived Metrics

The library automatically calculates numerous derived metrics from raw WebRTC statistics, providing enhanced insights into connection quality and performance. These metrics are computed during stats processing and are available on monitor objects.

### Client-Level Derived Metrics

Available on `ClientMonitor`:

```javascript
const monitor = new ClientMonitor();

// Aggregated bitrates across all peer connections
console.log(monitor.sendingAudioBitrate); // Total audio sending bitrate (bps)
console.log(monitor.sendingVideoBitrate); // Total video sending bitrate (bps)
console.log(monitor.receivingAudioBitrate); // Total audio receiving bitrate (bps)
console.log(monitor.receivingVideoBitrate); // Total video receiving bitrate (bps)

// Network capacity metrics
console.log(monitor.totalAvailableIncomingBitrate); // Available bandwidth for receiving
console.log(monitor.totalAvailableOutgoingBitrate); // Available bandwidth for sending

// Connection quality
console.log(monitor.avgRttInSec); // Average RTT across connections (seconds)
console.log(monitor.score); // Calculated quality score (0.0-5.0)
console.log(monitor.durationOfCollectingStatsInMs); // Time to collect stats (performance indicator)
```

### Peer Connection Derived Metrics

Available on `PeerConnectionMonitor`:

```javascript
const pcMonitor = /* get from monitor.peerConnections */;

// Bitrate metrics by media type
console.log(pcMonitor.sendingAudioBitrate);    // Audio sending bitrate (bps)
console.log(pcMonitor.sendingVideoBitrate);    // Video sending bitrate (bps)
console.log(pcMonitor.receivingAudioBitrate);  // Audio receiving bitrate (bps)
console.log(pcMonitor.receivingVideoBitrate);  // Video receiving bitrate (bps)

// Packet loss rates
console.log(pcMonitor.outboundFractionLost);   // Outbound packet loss fraction
console.log(pcMonitor.inboundFractionalLost);  // Inbound packet loss fraction

// Delta metrics (change since last collection)
console.log(pcMonitor.deltaInboundPacketsLost);     // Packets lost in period
console.log(pcMonitor.deltaInboundPacketsReceived); // Packets received in period
console.log(pcMonitor.deltaOutboundPacketsSent);    // Packets sent in period
console.log(pcMonitor.deltaAudioBytesSent);         // Audio bytes sent in period
console.log(pcMonitor.deltaVideoBytesSent);         // Video bytes sent in period
console.log(pcMonitor.deltaDataChannelBytesSent);   // Data channel bytes sent

// Connection timing and RTT
console.log(pcMonitor.avgRttInSec);            // Current average RTT (seconds)
console.log(pcMonitor.ewmaRttInSec);           // EWMA smoothed RTT (seconds)
console.log(pcMonitor.connectingStartedAt);    // Connection start timestamp
console.log(pcMonitor.connectedAt);            // Connection established timestamp

// Network topology detection
console.log(pcMonitor.usingTURN);              // Boolean: using TURN relay
console.log(pcMonitor.usingTCP);               // Boolean: using TCP transport
console.log(pcMonitor.iceState);               // ICE connection state

// Historical peaks
console.log(pcMonitor.highestSeenSendingBitrate);           // Peak sending bitrate seen
console.log(pcMonitor.highestSeenReceivingBitrate);         // Peak receiving bitrate seen
console.log(pcMonitor.highestSeenAvailableIncomingBitrate); // Peak available incoming
console.log(pcMonitor.highestSeenAvailableOutgoingBitrate); // Peak available outgoing
```

### Track-Level Derived Metrics

#### Inbound Track Metrics

Available on `InboundTrackMonitor`:

```javascript
const inboundTrack = /* get from monitor.tracks */;

console.log(inboundTrack.bitrate);              // Receiving bitrate (bps)
console.log(inboundTrack.jitter);               // Network jitter (seconds)
console.log(inboundTrack.fractionLost);         // Packet loss fraction
console.log(inboundTrack.score);                // Track quality score (0.0-5.0)
```

#### Outbound Track Metrics

Available on `OutboundTrackMonitor`:

```javascript
const outboundTrack = /* get from monitor.tracks */;

console.log(outboundTrack.bitrate);                    // Sending bitrate (bps)
console.log(outboundTrack.sendingPacketRate);          // Packets sent per second
console.log(outboundTrack.remoteReceivedPacketRate);   // Remote packets received per second
console.log(outboundTrack.jitter);                     // Remote reported jitter
console.log(outboundTrack.fractionLost);               // Remote reported packet loss
console.log(outboundTrack.score);                      // Track quality score (0.0-5.0)
```

### RTP-Level Derived Metrics

#### Inbound RTP Metrics

Available on `InboundRtpMonitor`:

```javascript
const inboundRtp = /* get from pcMonitor.mappedInboundRtpMonitors */;

// Bitrate and packet metrics
console.log(inboundRtp.bitrate);                // Calculated receiving bitrate (bps)
console.log(inboundRtp.packetRate);             // Packets received per second
console.log(inboundRtp.fractionLost);           // Calculated packet loss fraction
console.log(inboundRtp.bitPerPixel);            // Video: bits per pixel efficiency

// Video-specific derived metrics
console.log(inboundRtp.avgFramesPerSec);        // Average FPS over recent samples
console.log(inboundRtp.ewmaFps);                // EWMA smoothed FPS
console.log(inboundRtp.fpsVolatility);          // FPS stability (lower is better)
console.log(inboundRtp.isFreezed);              // Boolean: video appears frozen

// Audio-specific metrics
console.log(inboundRtp.receivingAudioSamples);  // Audio samples received in period
console.log(inboundRtp.desync);                 // Boolean: audio desync detected

// Delta metrics (change since last collection)
console.log(inboundRtp.deltaPacketsLost);           // Packets lost in period
console.log(inboundRtp.deltaPacketsReceived);       // Packets received in period
console.log(inboundRtp.deltaBytesReceived);         // Bytes received in period
console.log(inboundRtp.deltaJitterBufferDelay);     // Jitter buffer delay change
console.log(inboundRtp.deltaFramesDecoded);         // Video frames decoded in period
console.log(inboundRtp.deltaFramesReceived);        // Video frames received in period
console.log(inboundRtp.deltaFramesRendered);        // Video frames rendered in period
console.log(inboundRtp.deltaCorruptionProbability); // Frame corruption change
console.log(inboundRtp.deltaTime);                  // Elapsed time for calculations (ms)

// Audio concealment and jitter buffer (the "how did it sound" set)
console.log(inboundRtp.concealmentRate);            // Audible concealment share — silence excluded
console.log(inboundRtp.concealmentEventRate);       // Concealment events per second
console.log(inboundRtp.timeStretchRate);            // Share of samples NetEQ stretched or compressed
console.log(inboundRtp.avgJitterBufferDelayInMs);   // Latency the buffer actually added, per sample
console.log(inboundRtp.jitterBufferTargetDelayInMs);// What NetEQ is aiming for — a rising target predicts trouble
console.log(inboundRtp.discardRate);                // Packets that arrived too late to use

// Video decode cost and recovery pressure
console.log(inboundRtp.decodeTimePerFrameInMs);     // Decode cost per frame
console.log(inboundRtp.dropRatio);                  // Frames dropped after arriving
console.log(inboundRtp.renderRatio);                // Frames rendered vs decoded
console.log(inboundRtp.keyFrameRate);               // Keyframes decoded per second
console.log(inboundRtp.pliRate);                    // PLIs sent per second
console.log(inboundRtp.firRate);
console.log(inboundRtp.nackRate);
console.log(inboundRtp.retransmissionRatio);        // Share of received bytes that were retransmissions
```

> Every delta above is **counter-reset safe**: a counter that goes backwards
> (SSRC reuse, an ICE restart, a stats-object replacement) yields `0` rather than
> a negative value, so no rate derived from it can go negative.

#### Outbound RTP Metrics

Available on `OutboundRtpMonitor`:

```javascript
const outboundRtp = /* get from pcMonitor.mappedOutboundRtpMonitors */;

// Bitrate metrics
console.log(outboundRtp.bitrate);               // Total sending bitrate (bps)
console.log(outboundRtp.payloadBitrate);        // Payload-only bitrate (excluding headers/retransmissions)
console.log(outboundRtp.packetRate);            // Packets sent per second
console.log(outboundRtp.bitPerPixel);           // Video: bits per pixel efficiency

// Delta metrics
console.log(outboundRtp.deltaPacketsSent);      // Packets sent in period
console.log(outboundRtp.deltaBytesSent);        // Bytes sent in period

// Encoder cost and pressure
console.log(outboundRtp.encodeTimePerFrameInMs);// Encode cost per frame — the most direct send-side CPU signal
console.log(outboundRtp.avgQpPerFrame);         // Average quantization parameter per encoded frame
console.log(outboundRtp.retransmissionRatio);   // Share of sent bytes that were retransmissions
console.log(outboundRtp.retransmittedPacketRatio);
console.log(outboundRtp.avgPacketSendDelayInMs);// Per-packet pacer delay
console.log(outboundRtp.keyFrameRate);          // Keyframes encoded per second
console.log(outboundRtp.nackRate, outboundRtp.pliRate, outboundRtp.firRate);

// What the encoder spent THIS interval doing, in 0..1 — unlike the raw
// `qualityLimitationDurations` accumulators, this can be compared to a threshold.
console.log(outboundRtp.qualityLimitationDurationShares);
// => { none: 0.25, cpu: 0.75, bandwidth: 0, other: 0 }
```

#### Remote RTP Metrics

**Remote Inbound RTP** (remote peer's receiving stats):

```javascript
const remoteInboundRtp = /* get from pcMonitor.mappedRemoteInboundRtpMonitors */;

console.log(remoteInboundRtp.packetRate);       // Remote receiving packet rate
console.log(remoteInboundRtp.deltaPacketsLost); // Remote packets lost in period

// The RTT the far end measured for the stream we send, averaged over the
// interval from totalRoundTripTime / roundTripTimeMeasurements. `roundTripTime`
// alone is the last single measurement and is noisy.
console.log(remoteInboundRtp.avgRoundTripTimeInSec);
```

> `packetsLost` legitimately *decreases* when a late packet arrives, so the
> counter-reset guard is not merely defensive here — `deltaPacketsLost` is
> clamped at `0` rather than going negative.

**Remote Outbound RTP** (remote peer's sending stats):

```javascript
const remoteOutboundRtp = /* get from pcMonitor.mappedRemoteOutboundRtpMonitors */;

console.log(remoteOutboundRtp.bitrate);         // Remote sending bitrate
```

### ICE Transport Derived Metrics

Available on `IceTransportMonitor` and `IceCandidatePairMonitor`:

```javascript
const iceTransport = /* get from pcMonitor.mappedIceTransportMonitors */;

// Transport-level bitrates
console.log(iceTransport.sendingBitrate);       // Transport sending bitrate
console.log(iceTransport.receivingBitrate);     // Transport receiving bitrate

// Delta metrics
console.log(iceTransport.deltaPacketsSent);     // Packets sent in period
console.log(iceTransport.deltaPacketsReceived); // Packets received in period
console.log(iceTransport.deltaBytesSent);       // Bytes sent in period
console.log(iceTransport.deltaBytesReceived);   // Bytes received in period

// ICE candidate pair specific
const candidatePair = /* get from pcMonitor.mappedIceCandidatePairMonitors */;
console.log(candidatePair.availableIncomingBitrate); // Bandwidth estimation for receiving
console.log(candidatePair.availableOutgoingBitrate); // Bandwidth estimation for sending
```

### Data Channel Derived Metrics

Available on `DataChannelMonitor`:

```javascript
const dataChannel = /* get from pcMonitor.mappedDataChannelMonitors */;

console.log(dataChannel.deltaBytesSent);        // Bytes sent in period
console.log(dataChannel.deltaBytesReceived);    // Bytes received in period
```

### Media Source and Playout Metrics

**Media Source derived metrics** (local media):

```javascript
const mediaSource = /* get from pcMonitor.mappedMediaSourceMonitors */;

console.log(mediaSource.deltaFrames);   // Frames the capture source produced in the period
console.log(mediaSource.sourceFps);     // ...as a rate. Compare against what the encoder managed
                                        // to tell a slow camera from a slow encoder.
console.log(mediaSource.rmsAudioLevel); // RMS over the interval, from totalAudioEnergy —
                                        // unlike `audioLevel` it does not read zero between words.

console.log(mediaSource.getOutboundRtps()); // Every encoding fed by this source (simulcast: several)
```

**Media Playout derived metrics** (audio playout):

```javascript
const mediaPlayout = /* get from pcMonitor.mappedMediaPlayoutMonitors */;

console.log(mediaPlayout.deltaSynthesizedSamplesDuration); // Synthesized audio duration in period
console.log(mediaPlayout.deltaSamplesDuration);            // Total samples duration in period
console.log(mediaPlayout.synthesizedSamplesRatio);         // Synthesized share of the interval, 0..1
console.log(mediaPlayout.playoutDelayPerSampleInMs);       // How long audio waited before being played.
                                                           // `totalPlayoutDelay` alone grows forever and
                                                           // cannot be compared to a threshold; this can.
```

### Accessing Derived Metrics

```javascript
// Access derived metrics through monitor hierarchy
monitor.on("stats-collected", () => {
    // Client-level aggregates
    console.log("Total sending bitrate:", monitor.sendingAudioBitrate + monitor.sendingVideoBitrate);

// Per-connection metrics
    monitor.peerConnections.forEach((pc) => {
        console.log(`PC ${pc.peerConnectionId} RTT:`, pc.avgRttInSec * 1000, "ms");

// Per-track metrics
        pc.mappedInboundTracks.forEach((track) => {
            if (track.kind === "video") {
                const inboundRtp = track.getInboundRtp();
                console.log(`Video FPS: ${inboundRtp?.ewmaFps}, Volatility: ${inboundRtp?.fpsVolatility}`);
            }
        });
    });
});

// Manual access to specific metrics
const videoTrack = monitor.tracks.find((t) => t.kind === "video" && t.direction === "inbound");
if (videoTrack) {
    const rtp = videoTrack.getInboundRtp();
    console.log("Video quality metrics:", {
        bitrate: rtp.bitrate,
        fps: rtp.ewmaFps,
        volatility: rtp.fpsVolatility,
        packetLoss: rtp.fractionLost,
    });
}
```

## Schema Reference

### ClientSample

The main sample structure containing complete client state:

```typescript
type ClientSample = {
    timestamp: number;
    clientId?: string;
    callId?: string;
    score?: number;
    scoreReasons?: string;
    attachments?: Record<string, unknown>;
    peerConnections?: PeerConnectionSample[];
    clientEvents?: ClientEvent[];
    clientIssues?: ClientIssue[];
    clientMetaItems?: ClientMetaData[];
    extensionStats?: ExtensionStat[];
};
```

### PeerConnectionSample

Per-peer-connection statistics:

```typescript
type PeerConnectionSample = {
    peerConnectionId: string;
    score?: number;
    scoreReasons?: string;
    attachments?: Record<string, unknown>;
    inboundTracks?: InboundTrackSample[];
    outboundTracks?: OutboundTrackSample[];
    codecs?: CodecStats[];
    inboundRtps?: InboundRtpStats[];
    outboundRtps?: OutboundRtpStats[];
    remoteInboundRtps?: RemoteInboundRtpStats[];
    remoteOutboundRtps?: RemoteOutboundRtpStats[];
    mediaSources?: MediaSourceStats[];
    mediaPlayouts?: MediaPlayoutStats[];
    dataChannels?: DataChannelStats[];
    iceTransports?: IceTransportStats[];
    iceCandidates?: IceCandidateStats[];
    iceCandidatePairs?: IceCandidatePairStats[];
    certificates?: CertificateStats[];
};
```

### Stats Types

All stats types include standard WebRTC fields plus:

-   `timestamp`: When the stats were collected
-   `id`: Unique identifier
-   `attachments`: Additional data for sampling

**Key Stats Types:**

-   `InboundRtpStats`: Receiving stream statistics
-   `OutboundRtpStats`: Sending stream statistics
-   `IceCandidatePairStats`: ICE candidate pair information
-   `CodecStats`: Codec configuration
-   `MediaSourceStats`: Local media source stats

## Examples

### Basic Monitoring Setup

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";

const monitor = new ClientMonitor({
    clientId: "client-123",
    callId: "call-456",
    collectingPeriodInMs: 2000,
    samplingPeriodInMs: 5000,
});

// Add peer connection
const pc = new RTCPeerConnection();
monitor.addSource(pc);

// Handle samples
monitor.on("sample-created", (sample) => {
    // Send to analytics
    fetch("/analytics", {
        method: "POST",
        body: JSON.stringify(sample),
        headers: { "Content-Type": "application/json" },
    });
});

// Handle issues
monitor.on("issue", (issue) => {
    console.warn("Issue detected:", issue.type, issue.payload);
});
```

### Advanced Configuration

```javascript
const monitor = new ClientMonitor({
    clientId: "advanced-client",
    collectingPeriodInMs: 1000,
    samplingPeriodInMs: 3000,

// Sensitive congestion detection
    congestionDetector: {
        sensitivity: "high",
    },

// Strict CPU monitoring
    cpuPerformanceDetector: {
        incomingDecodedFramesRatioThresholds: {
            alertOn: 0.85,
            alertOff: 0.95,
            minReceivedFrames: 5,
        },
        durationOfCollectingStatsThreshold: {
            lowWatermark: 3000,
            highWatermark: 6000,
        },
    },

// Quick dry track detection
    dryInboundTrackDetector: {
        thresholdInMs: 3000,
    },

appData: {
        version: "1.0.0",
        feature: "screen-share",
    },
});
```

### Mediasoup Integration

```javascript
import mediasoup from "mediasoup-client";

const device = new mediasoup.Device();
const monitor = new ClientMonitor({
    clientId: "mediasoup-client",
});

// Load device capabilities
await device.load({ routerRtpCapabilities });

// Add device for monitoring
monitor.addSource(device);

// Create transport
const sendTransport = device.createSendTransport({
    // transport options
});

// The monitor automatically detects the new transport
// For existing transports, add manually:
// monitor.addSource(sendTransport);

// Produce media
const producer = await sendTransport.produce({
    track: videoTrack,
    codecOptions: {},
});

// Track is automatically monitored
```

### Custom Detector

```javascript
// A custom detector following the new lifecycle: stateful issue keyed by the PC,
// auto-resolve when latency recovers, payload enriched with durationInMs on close.
class NetworkLatencyDetector {
    name = "network-latency-detector";
    // Public runtime kill-switch — apps may flip this without removing the detector.
    disabled = false;

constructor(pcMonitor) {
        this.pcMonitor = pcMonitor;
        this.highLatencyThreshold = 0.2; // 200ms in seconds, matching avgRttInSec
        this.lowLatencyThreshold = 0.1; // 100ms hysteresis floor
        this.issueKey = `high-latency-pc-${pcMonitor.peerConnectionId}`;
        this._startedAt = undefined;
    }

update() {
        if (this.disabled) return;

const rtt = this.pcMonitor.avgRttInSec ?? 0;
        const monitor = this.pcMonitor.parent;
        const isActive = monitor.isIssueActive(this.issueKey);

if (!isActive && rtt > this.highLatencyThreshold) {
            this._startedAt = Date.now();
            monitor.raiseIssue(this.issueKey, {
                type: "high-latency",
                payload: {
                    peerConnectionId: this.pcMonitor.peerConnectionId,
                    rttInSec: rtt,
                    threshold: this.highLatencyThreshold,
                },
            });
        } else if (isActive && rtt < this.lowLatencyThreshold) {
            const active = monitor.activeIssues.get(this.issueKey);
            monitor.resolveIssue(this.issueKey, {
                comment: "latency recovered",
                payload: {
                    ...active?.payload,
                    durationInMs: this._startedAt ? Date.now() - this._startedAt : undefined,
                },
            });
            this._startedAt = undefined;
        }
    }
}

// Attach the detector when each PeerConnection is added.
monitor.on("new-peerconnnection-monitor", ({ peerConnectionMonitor }) => {
    const detector = new NetworkLatencyDetector(peerConnectionMonitor);
    peerConnectionMonitor.detectors.add(detector);
});
```

### Real-time Monitoring Dashboard

```javascript
class MonitoringDashboard {
    constructor(monitor) {
        this.monitor = monitor;
        this.setupEventListeners();
    }

setupEventListeners() {
        this.monitor.on("score", ({ clientScore, scoreReasons }) => {
            this.updateScoreDisplay(clientScore, scoreReasons);
        });

this.monitor.on("congestion", ({ availableIncomingBitrate, availableOutgoingBitrate }) => {
            this.showCongestionAlert(availableIncomingBitrate, availableOutgoingBitrate);
        });

this.monitor.on("stats-collected", ({ durationOfCollectingStatsInMs }) => {
            this.updatePerformanceMetrics(durationOfCollectingStatsInMs);
        });

this.monitor.on("issue", (issue) => {
            this.addIssueToLog(issue);
        });

this.monitor.on("issue-resolved", (resolved) => {
            this.addResolvedIssueToLog(resolved);
        });
    }

updateScoreDisplay(score, reasons) {
        document.getElementById("score").textContent = score.toFixed(1);
        document.getElementById("score-reasons").textContent = JSON.stringify(reasons, null, 2);
    }

showCongestionAlert(incoming, outgoing) {
        const alert = document.createElement("div");
        alert.className = "congestion-alert";
        alert.textContent = `Congestion detected! Available: ${incoming}/${outgoing} kbps`;
        document.body.appendChild(alert);
    }

updatePerformanceMetrics(duration) {
        document.getElementById("collection-time").textContent = `${duration}ms`;
    }

addIssueToLog(issue) {
        const log = document.getElementById("issue-log");
        const entry = document.createElement("div");
        entry.dataset.issueKey = "key" in issue ? issue.key : "";
        entry.textContent = `${new Date(issue.timestamp ?? issue.raisedAt).toISOString()} OPEN  ${issue.type} ${JSON.stringify(issue.payload ?? {})}`;
        log.appendChild(entry);
    }

addResolvedIssueToLog(resolved) {
        const log = document.getElementById("issue-log");
        const entry = document.createElement("div");
        entry.textContent =
            `${new Date(resolved.resolvedAt).toISOString()} CLOSE ${resolved.type} ` +
            `${resolved.comment ?? ""} duration=${resolved.payload?.durationInMs ?? "?"}ms`;
        log.appendChild(entry);
    }
}

// Initialize dashboard
const dashboard = new MonitoringDashboard(monitor);
```

## Troubleshooting

### Common Issues

#### High Memory Usage

```javascript
// Limit stored scores history
monitor.scoreCalculator.constructor.lastNScoresMaxLength = 5;

// Disable unnecessary detectors
monitor.config.audioDesyncDetector.disabled = true;

// Reduce collection frequency
monitor.setCollectingPeriod(5000);
```

#### Missing Statistics

```javascript
// Check if source is properly added
console.log("Peer connections:", monitor.peerConnections.length);

// Verify stats collection
monitor.on("stats-collected", ({ collectedStats }) => {
    console.log("Collected stats from PCs:", collectedStats.length);
});

// Check for adaptation issues
monitor.statsAdapters.add((stats) => {
    console.log("Raw stats count:", stats.length);
    return stats;
});
```

#### Browser Compatibility

```javascript
// Check browser support
if (!window.RTCPeerConnection) {
    console.error("WebRTC not supported");
}

// Handle browser-specific issues
monitor.on("stats-collected", ({ collectedStats }) => {
    if (collectedStats.length === 0) {
        console.warn("No stats collected - possible browser issue");
    }
});
```

### Debug Information

Enable full debug logging:

```javascript
import { ClientMonitor } from "@observertc/client-monitor-js";

const monitor = new ClientMonitor({
    logger: {
        trace: (...args) => console.trace(...args),
        debug: (...args) => console.debug(...args),
        info: (...args) => console.info(...args),
        warn: (...args) => console.warn(...args),
        error: (...args) => console.error(...args),
    },
});
```

### Performance Optimization

```javascript
// Optimize for large numbers of tracks
const monitor = new ClientMonitor({
    collectingPeriodInMs: 3000, // Reduce frequency
    samplingPeriodInMs: 10000, // Less frequent sampling

// Disable resource-intensive detectors
    cpuPerformanceDetector: { disabled: true },
    audioDesyncDetector: { disabled: true },
});

// Manual garbage collection
setInterval(() => {
    // Clear old data periodically
    monitor.scoreCalculator.totalReasons = {};
}, 60000);
```

## API Reference

### Types

```typescript
// Configuration
type ClientMonitorConfig = {
    /* ... */
};

// Core types
type ClientSample = {
    /* ... */
};
type ClientEvent = { type: string; payload?: any; timestamp: number };
type ClientIssue = { type: string; payload?: any; timestamp: number };

// Monitor types
class InboundTrackMonitor {
    /* ... */
}
class OutboundTrackMonitor {
    /* ... */
}
class PeerConnectionMonitor {
    /* ... */
}

// Detector interface
interface Detector {
    readonly name: string;
    update(): void;
}
```

### Events

```typescript
interface ClientMonitorEvents {
    "sample-created": (sample: ClientSample) => void;
    "stats-collected": (data: {
        durationOfCollectingStatsInMs: number;
        collectedStats: [string, RTCStats[]][];
    }) => void;
    score: (data: { clientScore: number; scoreReasons?: Record<string, number> }) => void;
    issue: (issue: ClientIssue) => void;
    congestion: (data: CongestionEvent) => void;
    close: () => void;
    // ... detector-specific events
}
```

## FAQ

### Q: How often should I collect statistics?

**A**: The default 2-second interval (2000ms) works well for most applications. For real-time applications or debugging, you might use 1 second. For low-bandwidth situations, 5 seconds is acceptable.

### Q: What's the difference between collectingPeriod and samplingPeriod?

**A**:

-   `collectingPeriod`: How often to collect WebRTC stats from browser APIs
-   `samplingPeriod`: How often to create complete client samples (includes events, issues, metadata)

### Q: How do I reduce bandwidth usage?

**A**:

1. Increase sampling period
2. Use sample compression (@observertc/samples-encoder)
3. Filter samples before sending
4. Disable unnecessary detectors

### Q: Can I use this with React Native?

**A**: The library is designed for web browsers with WebRTC support. For React Native, you'd need WebRTC polyfills and may encounter platform-specific issues.

### Q: How do I handle multiple peer connections?

**A**: Just add each peer connection as a source:

```javascript
const pc1 = new RTCPeerConnection();
const pc2 = new RTCPeerConnection();

monitor.addSource(pc1);
monitor.addSource(pc2);
```

### Q: What happens when a peer connection is closed?

**A**: The monitor automatically cleans up associated resources and emits appropriate events. You don't need to manually remove closed connections.

### Q: How accurate are the quality scores?

**A**: Scores are based on standard WebRTC metrics and industry best practices. They provide good relative quality assessment but should be calibrated based on your specific use case and user feedback.

### Q: Can I customize which events are included in samples?

**A**: Yes, you can filter events before sampling or add custom logic in event handlers to control what gets included.

### Q: How do I monitor screen sharing vs camera streams differently?

**A**: Use the `attachments` property to tag tracks:

```javascript
// When adding a screen share track
trackMonitor.attachments = { mediaType: "screen-share" };
```

### Q: What's the performance impact of monitoring?

**A**: The library is designed to be lightweight. Typical overhead is <1% CPU usage. The main cost is the periodic `getStats()` calls, which is why the collection period is configurable.

## NPM Package

https://www.npmjs.com/package/@observertc/client-monitor-js

## Schemas

Schema definitions are available at https://github.com/observertc/schemas

## Getting Involved

Client-monitor is made with the intention to provide an open-source monitoring solution for WebRTC developers. If you are interested in getting involved, please read our [contribution guidelines](CONTRIBUTING.md).

## License

Apache-2.0

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